About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company's products are sold at key retailers, online and offline, and through distributors around the world . Location: Battersea, London, Hybrid 3 days a week in the office We are looking for a Product Design Engineer II, to join our UK NPD team building a new generation of innovative products for our Ninja brand. We thrive on designing great products that delight our customers. Working as part of our London Design Office, you will bring technical substance and inspiration to our creative efforts to deliver credible solutions to the market. What You'll Do: Takes a lead role (independently and in teams) to solve technical issues found in the development of a product. Mentors more junior team members, with potential for line-management if desired. Supports all team members and encourages their efforts. Collaborates to help establish a project's user, design, and functional requirements, deliver robust solutions to satisfy those requirements, then help to validate through testing and building consensus on next steps. Takes overall ownership of designs through conception, CAD execution, prototyping and verification, whilst consistently working at pace & successfully develops team to do the same. Continuously evaluates and improves designs for cost efficiency, manufacturing improvements, increased quality and value to consumers. Applies sound engineering/ product design standards to deliver real solutions. Applies understanding & experience of high-volume manufacturing processes and materials to optimize designs. Communicates effectively and professionally with colleagues. Collaborates seamlessly with our U.S., U.K., and China-based Product Development teams, multi-functional teams, and executive teams to ensure that great ideas make it through to production. What You'll Bring Typically, 3+ years of proven experience in Mechanical/ Electro-Mechanical Engineering environment. Mechanical Design & Analysis - Strong understanding of mechanical systems in high-voltage environments, including material selection, heat dissipation, vibration control, and structural integrity. Electromechanical Systems - Working knowledge of how mechanical components interact with electrical systems, including insulating materials, creepage/clearance distances, and thermal management. CAD - Proficiency in SolidWorks (ideally) or Creo Manufacturing & Materials - Extensive experience in Injection moulding - Understanding of materials suitable for high-voltage applications (PPS / PAGF) High-Voltage Insulation & Safety - Expertise in managing electrical safety risks (dialectic, hi-pot, arcing etc) Risk Assessment & Failure Mode Analysis - Experience in FMEA, DFMEA, and HAZOP to assess risks in high-voltage systems. Testing & Certification Requirements - Understanding of IP ratings, dielectric strength testing, thermal runaway testing, and partial discharge testing. Prototype Development & Testing - Ability to design, build, and test mechanical prototypes in controlled environments. Environmental & Endurance Testing - Familiarity with thermal cycling, humidity, vibration, and impact testing to ensure product reliability. Drawing & Eng Specification - Proficiency 2D drawings & assemblies, BOM management - working GD&T knowledge would be a bonus Our Culture At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. To gether, we won't just launch products- we'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice For candidates based in all regions , please refer to this Candidate Privacy Notice . For candidates based in China , please refer to this Candidate Privacy Notice . For candidates based in Vietnam , please refer to this Candidate Privacy Notice . We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at
Jan 31, 2026
Full time
About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people's lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market, and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 3,600+ associates, the company's products are sold at key retailers, online and offline, and through distributors around the world . Location: Battersea, London, Hybrid 3 days a week in the office We are looking for a Product Design Engineer II, to join our UK NPD team building a new generation of innovative products for our Ninja brand. We thrive on designing great products that delight our customers. Working as part of our London Design Office, you will bring technical substance and inspiration to our creative efforts to deliver credible solutions to the market. What You'll Do: Takes a lead role (independently and in teams) to solve technical issues found in the development of a product. Mentors more junior team members, with potential for line-management if desired. Supports all team members and encourages their efforts. Collaborates to help establish a project's user, design, and functional requirements, deliver robust solutions to satisfy those requirements, then help to validate through testing and building consensus on next steps. Takes overall ownership of designs through conception, CAD execution, prototyping and verification, whilst consistently working at pace & successfully develops team to do the same. Continuously evaluates and improves designs for cost efficiency, manufacturing improvements, increased quality and value to consumers. Applies sound engineering/ product design standards to deliver real solutions. Applies understanding & experience of high-volume manufacturing processes and materials to optimize designs. Communicates effectively and professionally with colleagues. Collaborates seamlessly with our U.S., U.K., and China-based Product Development teams, multi-functional teams, and executive teams to ensure that great ideas make it through to production. What You'll Bring Typically, 3+ years of proven experience in Mechanical/ Electro-Mechanical Engineering environment. Mechanical Design & Analysis - Strong understanding of mechanical systems in high-voltage environments, including material selection, heat dissipation, vibration control, and structural integrity. Electromechanical Systems - Working knowledge of how mechanical components interact with electrical systems, including insulating materials, creepage/clearance distances, and thermal management. CAD - Proficiency in SolidWorks (ideally) or Creo Manufacturing & Materials - Extensive experience in Injection moulding - Understanding of materials suitable for high-voltage applications (PPS / PAGF) High-Voltage Insulation & Safety - Expertise in managing electrical safety risks (dialectic, hi-pot, arcing etc) Risk Assessment & Failure Mode Analysis - Experience in FMEA, DFMEA, and HAZOP to assess risks in high-voltage systems. Testing & Certification Requirements - Understanding of IP ratings, dielectric strength testing, thermal runaway testing, and partial discharge testing. Prototype Development & Testing - Ability to design, build, and test mechanical prototypes in controlled environments. Environmental & Endurance Testing - Familiarity with thermal cycling, humidity, vibration, and impact testing to ensure product reliability. Drawing & Eng Specification - Proficiency 2D drawings & assemblies, BOM management - working GD&T knowledge would be a bonus Our Culture At SharkNinja, we don't just raise the bar-we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you'll be right at home. What We Offer We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what's possible. When you join, you're not just part of a company-you're part of an outrageously extraordinary community. To gether, we won't just launch products- we'll disrupt entire markets. At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA. Learn more about us: Life At SharkNinja Outrageously Extraordinary SharkNinja Candidate Privacy Notice For candidates based in all regions , please refer to this Candidate Privacy Notice . For candidates based in China , please refer to this Candidate Privacy Notice . For candidates based in Vietnam , please refer to this Candidate Privacy Notice . We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at
Job Description Job Title: Senior Fundraiser Directorate: Engagement and Fundraising Team/Department (if specific): Mass Participation Team, Philanthropy and Partnerships Date Written/ Amended: 30 October 2025 Context and Background The NSPCC's mission is to end cruelty to children. In order to carry out its charitable work, we rely on the fundraising support of people across the UK for 90% of its annual income. Within Fundraising, our aim is to provide maximum resources for the NSPCC and children by working together to create the best possible supporter experience by building long-term relationships to create a supporter experience which is different, better and more rewarding than that of supporting any other charity. The Mass Participation Team (MPT) is an important part of the Philanthropy and Partnerships department within the Engagement and Fundraising directorate. MPT is responsible for attracting new supporters through our mass participation events to maximise fundraised income, and to optimise onward journeys to retain supporters within the NSPCC family. The Mass Participation Team focuses on three areas of fundraising; Third party events sporting events organised by third party suppliers, where we recruit participants and support them in raising money in aid of the NSPCC. For example, the London Marathon, Cardiff Half Marathon, Ultra Challenge series, skydives, bespoke treks. Schools Fundraising a suite of fundraising products tailored to schools across all educational settings, including Number Day, the Kindness Challenge and Classmaster. DIY fundraising supporters who choose to organise their own fundraising event or activity. Whether they take part with family or friends, at work or at school, we support them through stewardship and fundraising materials to help them reach their fundraising goals. Job purpose The role of the Senior Fundraiser is to project manage a number of fundraising activities within DIY fundraising and Schools Fundraising areas. The role will be responsible for managing DIY fundraising activity managing acquisition and stewardship for DIY fundraisers, and playing a leading role in reviewing and streamlining user experience across mass, workplace and school audiences. The role will also take on project management of a Schools Fundraising product, managing all aspects of the product throughout its lifecycle. The Senior Fundraiser will be responsible for working as a proactive team member to ensure that the participation levels and net income from activities are maximised. The key aspects of the role are: To play a key role in maximising income for the NSPCC from new and existing supporters through DIY/Schools fundraising activity. To project manage fundraising activities for mass audiences, taking responsibility for all aspects including planning and budget management, creative development, marketing and acquisition, stewardship build and evaluation. To take a proactive role in identifying and implementing opportunities to improve efficiencies, taking a data-led approach to inform recommendations To contribute to the development of new activities and build on existing activities to increase participation, remittance rates and income. Work as part of the Mass Participation Team to deliver the overall department objectives. Evaluate the performance of specific activities and to provide financial information as required. To work effectively with other departments in Engagement and Fundraising and other functions within the NSPCC to maximise income. Key relationships - Internal Reports to Associate Head Mass Participation Fundraising Close working relationship with Schools Fundraising Manager Mass Participation Team colleagues Colleagues in Supporter Relationships, Schools Service and Corporate Fundraising teams to develop opportunities, supporters and fundraising initiatives. Colleagues within and beyond the Engagement and Fundraising directorate such as Supporter Care, Professional Learning Services, Supporter Relationships, Brand and Content, Marketing and Comms, as necessary to support activity planning and delivery. Key relationships - External Liaises with supporters raising funds for NSPCC Works with a range of suppliers who support fundraising relationships and activity, such as JustGiving, Enthuse or our fulfilment house Hallmark. Main duties and responsibilities To project manage and develop fundraising activities for mass audiences that meet agreed financial and participation targets. To maximise income by engaging, stewarding and inspiring DIY fundraisers and educational settings using mass communication channels. To apply data-led insight to understand audience behaviour and campaign performance, translating analysis into practical steps to improve participant experience and maximise income. To use creative and engaging methods of communication including written and verbal communications in pre-event, event and post event activities, that fit with wider audience journeys as part of our Supporter Centricity programme. To be responsible for delivering an exceptional supporter experience that surpasses supporters expectations. To ensure maximum effectiveness and efficiency of mass participation activities through application of best practice campaign management To research and develop fundraising opportunities in mass participation both by reviewing NSPCC activities and the activities of other charities. 8. To work with staff across the organisation to collaborate on agreed department objectives, including participating in cross-functional projects where required as a representative of the mass participation team To be the contact for agencies and other suppliers who support fundraising, ensuring appropriate agreements are in place and that goods/services are delivered as agreed. Responsibilities for all Staff within the Engagement and Fundraising directorate • A commitment to safeguard and promote the welfare of children and young people • To update databases and supporter information systems on a regular basis in line with Data Protection legislation and NSPCC policy and procedures. • To actively participate in regular department and team meetings, contributing to strategy, discussions and decisions which will be beneficial to the Directorate and wider NSPCC activities. • To adhere to all the NSPCC s service standards, policies and procedures. • To evidence an understanding of and commitment to the demonstration of the NSPCC s values. • To maintain an awareness of and comply with NSPPC data protection regulations and to ensure currency of changing GDPR regulations. • To be responsible for personal learning and development, to support the learning and development of others and the whole organisation. • To work in a manner that facilitates and encourages inclusion. • To be pro-active in identifying ways to improve personal performance and team performance • To maintain an awareness of own and others Health & Safety and comply with the NSPCC s Health & Safety policy and procedures. • To take personal responsibility for keeping up-to-date with NSPCC work to end cruelty to children, including securing updates on project and service developments and general NSPCC news. • A commitment to safeguard and promote the welfare of children, young people and adults at risk. • A commitment to safeguard and promote the welfare of children and young people Person specification Excellent project management skills, with an understanding of dependencies and how to prioritise tasks effectively to meet agreed objectives Highly developed written and verbal communication skills to deliver presentations, ideas and activity updates to a range of audiences in a clear and confident way. Well-developed ability to build, manage and develop relationships with stakeholders within an organisation and externally, and where necessary, successfully negotiating to achieve desired outcomes. Experience of success in a customer-led environment such as fundraising, sales or marketing, thus ensuring that all supporters engaging with our products receive the highest levels of customer service 5. Ability to set, manage and report on a budget, keeping within financial limits and taking timely and appropriate action Well-developed numeracy skills for entering, recording, interpreting, analysing and presenting financial data in clear and accurate format. Proven ability of demonstrating initiative and creativity to achieve desired outcomes. Proven ability to analyse and interpret quantitative and qualitative data, translating insight into actionable recommendations Ability to plan, monitor and implement projects/events/initiatives to agreed deadlines often with conflicting priorities. Experience managing relationships with external agencies and suppliers Safer Recruitment As an organisation, we are committed to creating and fostering a culture that promotes safeguarding and the welfare of all children and adults at risk. . click apply for full job details
Jan 31, 2026
Full time
Job Description Job Title: Senior Fundraiser Directorate: Engagement and Fundraising Team/Department (if specific): Mass Participation Team, Philanthropy and Partnerships Date Written/ Amended: 30 October 2025 Context and Background The NSPCC's mission is to end cruelty to children. In order to carry out its charitable work, we rely on the fundraising support of people across the UK for 90% of its annual income. Within Fundraising, our aim is to provide maximum resources for the NSPCC and children by working together to create the best possible supporter experience by building long-term relationships to create a supporter experience which is different, better and more rewarding than that of supporting any other charity. The Mass Participation Team (MPT) is an important part of the Philanthropy and Partnerships department within the Engagement and Fundraising directorate. MPT is responsible for attracting new supporters through our mass participation events to maximise fundraised income, and to optimise onward journeys to retain supporters within the NSPCC family. The Mass Participation Team focuses on three areas of fundraising; Third party events sporting events organised by third party suppliers, where we recruit participants and support them in raising money in aid of the NSPCC. For example, the London Marathon, Cardiff Half Marathon, Ultra Challenge series, skydives, bespoke treks. Schools Fundraising a suite of fundraising products tailored to schools across all educational settings, including Number Day, the Kindness Challenge and Classmaster. DIY fundraising supporters who choose to organise their own fundraising event or activity. Whether they take part with family or friends, at work or at school, we support them through stewardship and fundraising materials to help them reach their fundraising goals. Job purpose The role of the Senior Fundraiser is to project manage a number of fundraising activities within DIY fundraising and Schools Fundraising areas. The role will be responsible for managing DIY fundraising activity managing acquisition and stewardship for DIY fundraisers, and playing a leading role in reviewing and streamlining user experience across mass, workplace and school audiences. The role will also take on project management of a Schools Fundraising product, managing all aspects of the product throughout its lifecycle. The Senior Fundraiser will be responsible for working as a proactive team member to ensure that the participation levels and net income from activities are maximised. The key aspects of the role are: To play a key role in maximising income for the NSPCC from new and existing supporters through DIY/Schools fundraising activity. To project manage fundraising activities for mass audiences, taking responsibility for all aspects including planning and budget management, creative development, marketing and acquisition, stewardship build and evaluation. To take a proactive role in identifying and implementing opportunities to improve efficiencies, taking a data-led approach to inform recommendations To contribute to the development of new activities and build on existing activities to increase participation, remittance rates and income. Work as part of the Mass Participation Team to deliver the overall department objectives. Evaluate the performance of specific activities and to provide financial information as required. To work effectively with other departments in Engagement and Fundraising and other functions within the NSPCC to maximise income. Key relationships - Internal Reports to Associate Head Mass Participation Fundraising Close working relationship with Schools Fundraising Manager Mass Participation Team colleagues Colleagues in Supporter Relationships, Schools Service and Corporate Fundraising teams to develop opportunities, supporters and fundraising initiatives. Colleagues within and beyond the Engagement and Fundraising directorate such as Supporter Care, Professional Learning Services, Supporter Relationships, Brand and Content, Marketing and Comms, as necessary to support activity planning and delivery. Key relationships - External Liaises with supporters raising funds for NSPCC Works with a range of suppliers who support fundraising relationships and activity, such as JustGiving, Enthuse or our fulfilment house Hallmark. Main duties and responsibilities To project manage and develop fundraising activities for mass audiences that meet agreed financial and participation targets. To maximise income by engaging, stewarding and inspiring DIY fundraisers and educational settings using mass communication channels. To apply data-led insight to understand audience behaviour and campaign performance, translating analysis into practical steps to improve participant experience and maximise income. To use creative and engaging methods of communication including written and verbal communications in pre-event, event and post event activities, that fit with wider audience journeys as part of our Supporter Centricity programme. To be responsible for delivering an exceptional supporter experience that surpasses supporters expectations. To ensure maximum effectiveness and efficiency of mass participation activities through application of best practice campaign management To research and develop fundraising opportunities in mass participation both by reviewing NSPCC activities and the activities of other charities. 8. To work with staff across the organisation to collaborate on agreed department objectives, including participating in cross-functional projects where required as a representative of the mass participation team To be the contact for agencies and other suppliers who support fundraising, ensuring appropriate agreements are in place and that goods/services are delivered as agreed. Responsibilities for all Staff within the Engagement and Fundraising directorate • A commitment to safeguard and promote the welfare of children and young people • To update databases and supporter information systems on a regular basis in line with Data Protection legislation and NSPCC policy and procedures. • To actively participate in regular department and team meetings, contributing to strategy, discussions and decisions which will be beneficial to the Directorate and wider NSPCC activities. • To adhere to all the NSPCC s service standards, policies and procedures. • To evidence an understanding of and commitment to the demonstration of the NSPCC s values. • To maintain an awareness of and comply with NSPPC data protection regulations and to ensure currency of changing GDPR regulations. • To be responsible for personal learning and development, to support the learning and development of others and the whole organisation. • To work in a manner that facilitates and encourages inclusion. • To be pro-active in identifying ways to improve personal performance and team performance • To maintain an awareness of own and others Health & Safety and comply with the NSPCC s Health & Safety policy and procedures. • To take personal responsibility for keeping up-to-date with NSPCC work to end cruelty to children, including securing updates on project and service developments and general NSPCC news. • A commitment to safeguard and promote the welfare of children, young people and adults at risk. • A commitment to safeguard and promote the welfare of children and young people Person specification Excellent project management skills, with an understanding of dependencies and how to prioritise tasks effectively to meet agreed objectives Highly developed written and verbal communication skills to deliver presentations, ideas and activity updates to a range of audiences in a clear and confident way. Well-developed ability to build, manage and develop relationships with stakeholders within an organisation and externally, and where necessary, successfully negotiating to achieve desired outcomes. Experience of success in a customer-led environment such as fundraising, sales or marketing, thus ensuring that all supporters engaging with our products receive the highest levels of customer service 5. Ability to set, manage and report on a budget, keeping within financial limits and taking timely and appropriate action Well-developed numeracy skills for entering, recording, interpreting, analysing and presenting financial data in clear and accurate format. Proven ability of demonstrating initiative and creativity to achieve desired outcomes. Proven ability to analyse and interpret quantitative and qualitative data, translating insight into actionable recommendations Ability to plan, monitor and implement projects/events/initiatives to agreed deadlines often with conflicting priorities. Experience managing relationships with external agencies and suppliers Safer Recruitment As an organisation, we are committed to creating and fostering a culture that promotes safeguarding and the welfare of all children and adults at risk. . click apply for full job details
You can make a difference, be rewarded, and join our impact-driven community now - at Targeted Provision we change lives ! Multiple positions are available, hiring is ongoing, and interviews are being arranged as applications come in. We will contact you with nearby tutoring work within 45 minutes drive of the advertised location and/or within 45 minutes of the postcode you provide us. What makes this role right for you: We are working with Schools and Local Authorities in your area and are looking for Core Subject (Maths, English, or Science) SEND Tutors and Teachers like you to transform the lives of Young People with SEND and SEMH needs in your community ! We are looking for SEND Tutors and Teachers with a genuine passion for transforming the lives of disengaged , at-risk , and vulnerable learners - take control of your teaching journey with us and work flexibly , creatively , and in a trauma-informed way to make a difference in your own life and the lives of the young people we support . The benefits we offer our SEND Tutor and Teachers: Competitive pay: £28 - £35 per hour (holiday pay inclusive) Flexible working: In person, hybrid, and work from home teaching opportunities Flexible hours: Flexible part-time up to full-time hours to suit your schedule CPD and employee mentoring: TES CPD suite and professional mentor access SEND Support Team: Support to keep a team around you and the child Community and Company Events: Knowledge sharing and resources Referral Programme: Get rewarded for successful tutor referrals A Role with Purpose: Join a child-centred company committed to reimagining the world of support for vulnerable young people for the better SEND Tutor and Teacher role requirements: Experience: 2+ years teaching experience, ideally working with SEND, SEMH, MLD, SLD, and/or PMLD in a holistic and trauma-informed way Subjects: Familiarity teaching English, Maths, and/or Science Qualifications: Qualified Teacher Status (QTS / QTLS) Compliance: Enhanced DBS (we can facilitate this if needed) and 2+ professional references Location: You must be based in the UK with the right to work in the UK, even for remote / online jobs Safeguarding: Knowledge of safeguarding and creating a safe learning environment The SEND Tutor and Teacher role and responsibilities: Provide in person , online / remote , and hybrid Maths, English, or Science tuition to children, teenagers, and young people with SEMH and SEND needs , including MLD , SLD , PMLD , and other Additional Educational Needs Support pupils and students, ranging from KS1 - KS5 (as appropriate for your skills), referred by local authorities and schools by planning and delivering flexible, trauma-informed tutoring and mentoring Plan and report for lessons and provide regular feedback on student progress We are on a mission to raise the standard of education provided to young people with SEND (Special Education Needs and Disabilities), as well as other needs such as SEMH needs (Social, Emotional and Mental Health). We are increasingly supporting children and young people with MLD (Moderate Learning Difficulties), SLD (Severe Learning Difficulties), and PMLD (Profound and Multiple Learning Difficulties). We want you as part of our mission ! Applying: Apply in less than 5 minutes via our mobile and browser optimised application form Interviews are being scheduled on a rolling basis - apply now and start making a difference ! We welcome tutors from all backgrounds - our learners come from diverse communities and our organisation must reflect and represent their experiences We take Safer Recruitment seriously. All candidates must pass through our safer recruitment process to ensure their suitability to work with children and young people SEND Tutor and Teacher employment status: This position involves engaging with us as a Worker, via temporary and fixed term contracts as and when they arise You will work through a contract for service and will be paid via PAYE This is not a self-employed tutoring / self-employed teaching position Relevant Job Titles / Previous Experience: Individuals with highly relevant experience from teaching background often have worked in the following roles: SENDCo (Special Education Needs Coordinator) SLD / MLD Teacher Autism / ADHD Support Teacher Intervention Specialist / Teacher / Tutor Ex-Teacher Other highly relevant roles from therapeutic and learning support background include: Learning Support Assistant (LSA) / Teaching Assistant (TA) Educational Therapist Speech and Language Therapist (SALT) Educational Psychologist (EP) Inclusion Coordinator If you hold one of these roles, meet our requirements , and are considering a career change please do consider applying with us. Due to the number of applications we receive, we are unable to respond to every applicant . We aim to respond to all successful applicants .
Jan 31, 2026
Full time
You can make a difference, be rewarded, and join our impact-driven community now - at Targeted Provision we change lives ! Multiple positions are available, hiring is ongoing, and interviews are being arranged as applications come in. We will contact you with nearby tutoring work within 45 minutes drive of the advertised location and/or within 45 minutes of the postcode you provide us. What makes this role right for you: We are working with Schools and Local Authorities in your area and are looking for Core Subject (Maths, English, or Science) SEND Tutors and Teachers like you to transform the lives of Young People with SEND and SEMH needs in your community ! We are looking for SEND Tutors and Teachers with a genuine passion for transforming the lives of disengaged , at-risk , and vulnerable learners - take control of your teaching journey with us and work flexibly , creatively , and in a trauma-informed way to make a difference in your own life and the lives of the young people we support . The benefits we offer our SEND Tutor and Teachers: Competitive pay: £28 - £35 per hour (holiday pay inclusive) Flexible working: In person, hybrid, and work from home teaching opportunities Flexible hours: Flexible part-time up to full-time hours to suit your schedule CPD and employee mentoring: TES CPD suite and professional mentor access SEND Support Team: Support to keep a team around you and the child Community and Company Events: Knowledge sharing and resources Referral Programme: Get rewarded for successful tutor referrals A Role with Purpose: Join a child-centred company committed to reimagining the world of support for vulnerable young people for the better SEND Tutor and Teacher role requirements: Experience: 2+ years teaching experience, ideally working with SEND, SEMH, MLD, SLD, and/or PMLD in a holistic and trauma-informed way Subjects: Familiarity teaching English, Maths, and/or Science Qualifications: Qualified Teacher Status (QTS / QTLS) Compliance: Enhanced DBS (we can facilitate this if needed) and 2+ professional references Location: You must be based in the UK with the right to work in the UK, even for remote / online jobs Safeguarding: Knowledge of safeguarding and creating a safe learning environment The SEND Tutor and Teacher role and responsibilities: Provide in person , online / remote , and hybrid Maths, English, or Science tuition to children, teenagers, and young people with SEMH and SEND needs , including MLD , SLD , PMLD , and other Additional Educational Needs Support pupils and students, ranging from KS1 - KS5 (as appropriate for your skills), referred by local authorities and schools by planning and delivering flexible, trauma-informed tutoring and mentoring Plan and report for lessons and provide regular feedback on student progress We are on a mission to raise the standard of education provided to young people with SEND (Special Education Needs and Disabilities), as well as other needs such as SEMH needs (Social, Emotional and Mental Health). We are increasingly supporting children and young people with MLD (Moderate Learning Difficulties), SLD (Severe Learning Difficulties), and PMLD (Profound and Multiple Learning Difficulties). We want you as part of our mission ! Applying: Apply in less than 5 minutes via our mobile and browser optimised application form Interviews are being scheduled on a rolling basis - apply now and start making a difference ! We welcome tutors from all backgrounds - our learners come from diverse communities and our organisation must reflect and represent their experiences We take Safer Recruitment seriously. All candidates must pass through our safer recruitment process to ensure their suitability to work with children and young people SEND Tutor and Teacher employment status: This position involves engaging with us as a Worker, via temporary and fixed term contracts as and when they arise You will work through a contract for service and will be paid via PAYE This is not a self-employed tutoring / self-employed teaching position Relevant Job Titles / Previous Experience: Individuals with highly relevant experience from teaching background often have worked in the following roles: SENDCo (Special Education Needs Coordinator) SLD / MLD Teacher Autism / ADHD Support Teacher Intervention Specialist / Teacher / Tutor Ex-Teacher Other highly relevant roles from therapeutic and learning support background include: Learning Support Assistant (LSA) / Teaching Assistant (TA) Educational Therapist Speech and Language Therapist (SALT) Educational Psychologist (EP) Inclusion Coordinator If you hold one of these roles, meet our requirements , and are considering a career change please do consider applying with us. Due to the number of applications we receive, we are unable to respond to every applicant . We aim to respond to all successful applicants .
You can make a difference, be rewarded, and join our impact-driven community now - at Targeted Provision we change lives ! Multiple positions are available, hiring is ongoing, and interviews are being arranged as applications come in. We will contact you with nearby tutoring work within 45 minutes drive of the advertised location and/or within 45 minutes of the postcode you provide us. What makes this role right for you: We are working with Schools and Local Authorities in your area and are looking for Core Subject (Maths, English, or Science) SEND Tutors and Teachers like you to transform the lives of Young People with SEND and SEMH needs in your community ! We are looking for SEND Tutors and Teachers with a genuine passion for transforming the lives of disengaged , at-risk , and vulnerable learners - take control of your teaching journey with us and work flexibly , creatively , and in a trauma-informed way to make a difference in your own life and the lives of the young people we support . The benefits we offer our SEND Tutor and Teachers: Competitive pay: £28 - £35 per hour (holiday pay inclusive) Flexible working: In person, hybrid, and work from home teaching opportunities Flexible hours: Flexible part-time up to full-time hours to suit your schedule CPD and employee mentoring: TES CPD suite and professional mentor access SEND Support Team: Support to keep a team around you and the child Community and Company Events: Knowledge sharing and resources Referral Programme: Get rewarded for successful tutor referrals A Role with Purpose: Join a child-centred company committed to reimagining the world of support for vulnerable young people for the better SEND Tutor and Teacher role requirements: Experience: 2+ years teaching experience, ideally working with SEND, SEMH, MLD, SLD, and/or PMLD in a holistic and trauma-informed way Subjects: Familiarity teaching English, Maths, and/or Science Qualifications: Qualified Teacher Status (QTS / QTLS) Compliance: Enhanced DBS (we can facilitate this if needed) and 2+ professional references Location: You must be based in the UK with the right to work in the UK, even for remote / online jobs Safeguarding: Knowledge of safeguarding and creating a safe learning environment The SEND Tutor and Teacher role and responsibilities: Provide in person , online / remote , and hybrid Maths, English, or Science tuition to children, teenagers, and young people with SEMH and SEND needs , including MLD , SLD , PMLD , and other Additional Educational Needs Support pupils and students, ranging from KS1 - KS5 (as appropriate for your skills), referred by local authorities and schools by planning and delivering flexible, trauma-informed tutoring and mentoring Plan and report for lessons and provide regular feedback on student progress We are on a mission to raise the standard of education provided to young people with SEND (Special Education Needs and Disabilities), as well as other needs such as SEMH needs (Social, Emotional and Mental Health). We are increasingly supporting children and young people with MLD (Moderate Learning Difficulties), SLD (Severe Learning Difficulties), and PMLD (Profound and Multiple Learning Difficulties). We want you as part of our mission ! Applying: Apply in less than 5 minutes via our mobile and browser optimised application form Interviews are being scheduled on a rolling basis - apply now and start making a difference ! We welcome tutors from all backgrounds - our learners come from diverse communities and our organisation must reflect and represent their experiences We take Safer Recruitment seriously. All candidates must pass through our safer recruitment process to ensure their suitability to work with children and young people SEND Tutor and Teacher employment status: This position involves engaging with us as a Worker, via temporary and fixed term contracts as and when they arise You will work through a contract for service and will be paid via PAYE This is not a self-employed tutoring / self-employed teaching position Relevant Job Titles / Previous Experience: Individuals with highly relevant experience from teaching background often have worked in the following roles: SENDCo (Special Education Needs Coordinator) SLD / MLD Teacher Autism / ADHD Support Teacher Intervention Specialist / Teacher / Tutor Ex-Teacher Other highly relevant roles from therapeutic and learning support background include: Learning Support Assistant (LSA) / Teaching Assistant (TA) Educational Therapist Speech and Language Therapist (SALT) Educational Psychologist (EP) Inclusion Coordinator If you hold one of these roles, meet our requirements , and are considering a career change please do consider applying with us. Due to the number of applications we receive, we are unable to respond to every applicant . We aim to respond to all successful applicants .
Jan 31, 2026
Full time
You can make a difference, be rewarded, and join our impact-driven community now - at Targeted Provision we change lives ! Multiple positions are available, hiring is ongoing, and interviews are being arranged as applications come in. We will contact you with nearby tutoring work within 45 minutes drive of the advertised location and/or within 45 minutes of the postcode you provide us. What makes this role right for you: We are working with Schools and Local Authorities in your area and are looking for Core Subject (Maths, English, or Science) SEND Tutors and Teachers like you to transform the lives of Young People with SEND and SEMH needs in your community ! We are looking for SEND Tutors and Teachers with a genuine passion for transforming the lives of disengaged , at-risk , and vulnerable learners - take control of your teaching journey with us and work flexibly , creatively , and in a trauma-informed way to make a difference in your own life and the lives of the young people we support . The benefits we offer our SEND Tutor and Teachers: Competitive pay: £28 - £35 per hour (holiday pay inclusive) Flexible working: In person, hybrid, and work from home teaching opportunities Flexible hours: Flexible part-time up to full-time hours to suit your schedule CPD and employee mentoring: TES CPD suite and professional mentor access SEND Support Team: Support to keep a team around you and the child Community and Company Events: Knowledge sharing and resources Referral Programme: Get rewarded for successful tutor referrals A Role with Purpose: Join a child-centred company committed to reimagining the world of support for vulnerable young people for the better SEND Tutor and Teacher role requirements: Experience: 2+ years teaching experience, ideally working with SEND, SEMH, MLD, SLD, and/or PMLD in a holistic and trauma-informed way Subjects: Familiarity teaching English, Maths, and/or Science Qualifications: Qualified Teacher Status (QTS / QTLS) Compliance: Enhanced DBS (we can facilitate this if needed) and 2+ professional references Location: You must be based in the UK with the right to work in the UK, even for remote / online jobs Safeguarding: Knowledge of safeguarding and creating a safe learning environment The SEND Tutor and Teacher role and responsibilities: Provide in person , online / remote , and hybrid Maths, English, or Science tuition to children, teenagers, and young people with SEMH and SEND needs , including MLD , SLD , PMLD , and other Additional Educational Needs Support pupils and students, ranging from KS1 - KS5 (as appropriate for your skills), referred by local authorities and schools by planning and delivering flexible, trauma-informed tutoring and mentoring Plan and report for lessons and provide regular feedback on student progress We are on a mission to raise the standard of education provided to young people with SEND (Special Education Needs and Disabilities), as well as other needs such as SEMH needs (Social, Emotional and Mental Health). We are increasingly supporting children and young people with MLD (Moderate Learning Difficulties), SLD (Severe Learning Difficulties), and PMLD (Profound and Multiple Learning Difficulties). We want you as part of our mission ! Applying: Apply in less than 5 minutes via our mobile and browser optimised application form Interviews are being scheduled on a rolling basis - apply now and start making a difference ! We welcome tutors from all backgrounds - our learners come from diverse communities and our organisation must reflect and represent their experiences We take Safer Recruitment seriously. All candidates must pass through our safer recruitment process to ensure their suitability to work with children and young people SEND Tutor and Teacher employment status: This position involves engaging with us as a Worker, via temporary and fixed term contracts as and when they arise You will work through a contract for service and will be paid via PAYE This is not a self-employed tutoring / self-employed teaching position Relevant Job Titles / Previous Experience: Individuals with highly relevant experience from teaching background often have worked in the following roles: SENDCo (Special Education Needs Coordinator) SLD / MLD Teacher Autism / ADHD Support Teacher Intervention Specialist / Teacher / Tutor Ex-Teacher Other highly relevant roles from therapeutic and learning support background include: Learning Support Assistant (LSA) / Teaching Assistant (TA) Educational Therapist Speech and Language Therapist (SALT) Educational Psychologist (EP) Inclusion Coordinator If you hold one of these roles, meet our requirements , and are considering a career change please do consider applying with us. Due to the number of applications we receive, we are unable to respond to every applicant . We aim to respond to all successful applicants .
Trusts and Grants Manager We re looking for an experienced and passionate Trusts and Grants Fundraiser to join our High Value Engagement Team to help us in our mission to tackle the devastation of Stroke. Position: CE387 Trusts and Grants Manager Location: Home-based, UK Nationwide. However, occasional travel will be required as part of this role (may include team meetings or other work-related meetings) Hours: Full-time, 35 hours per week Salary: Circa £41,300 per annum (inner London weighting £3,950 per annum or outer London weighting £2,275 per annum may be applied in accordance with where you live) Contract: Permanent Benefits: 25 days annual leave plus bank holidays (this will increase with service up to 30 days, full time equivalent) cashback and discount scheme, employee assistance programme, learning and development, pension scheme, Life Assurance, Eye Care vouchers, Long Service Award, Tax-free childcare, Health Cash Plan, Working Pattern Agreement, flexible working opportunities available. Closing Date: 15 February 2026 Interview Date: Week commencing 23 February 2026will be held via video conferencing. Please let us know if this will present any challenges when you email your application. The Role Reporting to the Head of Trusts and Grants, you ll lead a mixed portfolio of high-value funders with the potential to give £50,000+. Your ultimate goal will be to build six-figure, long-term funding partnerships, ensuring every supporter feels valued, inspired and connected to our work. Key responsibilities include: Driving significant income growth by meeting and exceeding agreed personal and team fundraising targets. Nurturing and developing existing five- and six-figure relationships with trusts and statutory funders. Identifying and cultivating new high value funding opportunities, working collaboratively with senior leaders and specialist colleagues across the organisation to inspire donations. Delivering exceptional stewardship, partnering with internal teams to create high-quality, impactful funding applications and meaningful progress reports that demonstrate impact. Undertaking insightful research into trusts and statutory funders to shape strategic, tailored approaches. About You You ll be an excellent writer, with the ability to take complex information and translate it into compelling, persuasive cases for support. A strong relationship builder, you ll cultivate deep, meaningful partnerships with funders, inspiring long-term commitment and maximising lifetime value through increased and recurring support. This role would suit an ambitious and tenacious trust fundraiser with outstanding stewardship skills and the confidence and drive to secure six-figure gifts that enable lasting change for stroke survivors. To fulfil the role, you must be a resident of the UK and have the right to work in the UK. When you click to apply, you will be able to see the full responsibilities and person specification for further information on the role. Please submit your CV, (including details of your current address), and a supporting statement of no more than two pages, demonstrating how you meet the person specification and what you bring to the role in terms of your skills and experience. Please state any preferences for flexible options in your covering letter. Applications from individuals who are seeking flexible working options, including reduced hours or job shares are welcomed. Please note that only shortlisted applicants will be notified. Finding strength through support The Stroke Association is the only charity in the UK providing lifelong support for all stroke survivors and their families. Providing tailored support to tens of thousands of stroke survivors each year. This support includes one-to-one and group support, funding vital scientific research into stroke prevention, acute treatment, recovery and long-term care, and campaigning to secure the best care for everyone affected by stroke. Here for stroke survivors and their loved ones, from the moment they enter the new and frightening post-stroke world, supporting them every step of the way as they find their strength and their way back to life. It s only thanks to the generosity of supporters and donors that they can provide vital support. The Association is driven by an ambition to improve the lives of everyone affected by stroke. This means they re determined to create an equitable and inclusive workplace that benefits from the difference, and thrives on the diversity, of our people. Guided by an approach to solving inequity in stroke, the team are prioritising listening to, and learning from, lived experience across the charity. The charity are working to improve the representation of this lived experience at all levels within the Association and are eager to recruit applicants from a variety of communities and backgrounds. We are keen to receive applications from people affected by stroke, people of colour, members of LGBT+ communities, and disabled people because these identities and experiences are underrepresented and would add enormous value to how the organisation work. A Disability Confident employer, the organisation is making great progress focusing on flexible working, reasonable adjustments and access to work. The charity has a variety of staff network groups and are committed to continuously improving diversity and inclusion efforts. If you have questions, or access needs, we re happy to discuss any support and adjustments we can make throughout the recruitment process so that you re able to contribute your best in a way that meets your needs. PLEASE NOTE: This role is being advertised by NFP People on behalf of the organisation.
Jan 30, 2026
Full time
Trusts and Grants Manager We re looking for an experienced and passionate Trusts and Grants Fundraiser to join our High Value Engagement Team to help us in our mission to tackle the devastation of Stroke. Position: CE387 Trusts and Grants Manager Location: Home-based, UK Nationwide. However, occasional travel will be required as part of this role (may include team meetings or other work-related meetings) Hours: Full-time, 35 hours per week Salary: Circa £41,300 per annum (inner London weighting £3,950 per annum or outer London weighting £2,275 per annum may be applied in accordance with where you live) Contract: Permanent Benefits: 25 days annual leave plus bank holidays (this will increase with service up to 30 days, full time equivalent) cashback and discount scheme, employee assistance programme, learning and development, pension scheme, Life Assurance, Eye Care vouchers, Long Service Award, Tax-free childcare, Health Cash Plan, Working Pattern Agreement, flexible working opportunities available. Closing Date: 15 February 2026 Interview Date: Week commencing 23 February 2026will be held via video conferencing. Please let us know if this will present any challenges when you email your application. The Role Reporting to the Head of Trusts and Grants, you ll lead a mixed portfolio of high-value funders with the potential to give £50,000+. Your ultimate goal will be to build six-figure, long-term funding partnerships, ensuring every supporter feels valued, inspired and connected to our work. Key responsibilities include: Driving significant income growth by meeting and exceeding agreed personal and team fundraising targets. Nurturing and developing existing five- and six-figure relationships with trusts and statutory funders. Identifying and cultivating new high value funding opportunities, working collaboratively with senior leaders and specialist colleagues across the organisation to inspire donations. Delivering exceptional stewardship, partnering with internal teams to create high-quality, impactful funding applications and meaningful progress reports that demonstrate impact. Undertaking insightful research into trusts and statutory funders to shape strategic, tailored approaches. About You You ll be an excellent writer, with the ability to take complex information and translate it into compelling, persuasive cases for support. A strong relationship builder, you ll cultivate deep, meaningful partnerships with funders, inspiring long-term commitment and maximising lifetime value through increased and recurring support. This role would suit an ambitious and tenacious trust fundraiser with outstanding stewardship skills and the confidence and drive to secure six-figure gifts that enable lasting change for stroke survivors. To fulfil the role, you must be a resident of the UK and have the right to work in the UK. When you click to apply, you will be able to see the full responsibilities and person specification for further information on the role. Please submit your CV, (including details of your current address), and a supporting statement of no more than two pages, demonstrating how you meet the person specification and what you bring to the role in terms of your skills and experience. Please state any preferences for flexible options in your covering letter. Applications from individuals who are seeking flexible working options, including reduced hours or job shares are welcomed. Please note that only shortlisted applicants will be notified. Finding strength through support The Stroke Association is the only charity in the UK providing lifelong support for all stroke survivors and their families. Providing tailored support to tens of thousands of stroke survivors each year. This support includes one-to-one and group support, funding vital scientific research into stroke prevention, acute treatment, recovery and long-term care, and campaigning to secure the best care for everyone affected by stroke. Here for stroke survivors and their loved ones, from the moment they enter the new and frightening post-stroke world, supporting them every step of the way as they find their strength and their way back to life. It s only thanks to the generosity of supporters and donors that they can provide vital support. The Association is driven by an ambition to improve the lives of everyone affected by stroke. This means they re determined to create an equitable and inclusive workplace that benefits from the difference, and thrives on the diversity, of our people. Guided by an approach to solving inequity in stroke, the team are prioritising listening to, and learning from, lived experience across the charity. The charity are working to improve the representation of this lived experience at all levels within the Association and are eager to recruit applicants from a variety of communities and backgrounds. We are keen to receive applications from people affected by stroke, people of colour, members of LGBT+ communities, and disabled people because these identities and experiences are underrepresented and would add enormous value to how the organisation work. A Disability Confident employer, the organisation is making great progress focusing on flexible working, reasonable adjustments and access to work. The charity has a variety of staff network groups and are committed to continuously improving diversity and inclusion efforts. If you have questions, or access needs, we re happy to discuss any support and adjustments we can make throughout the recruitment process so that you re able to contribute your best in a way that meets your needs. PLEASE NOTE: This role is being advertised by NFP People on behalf of the organisation.
This role has a starting salary of 36,873 per annum based on a 36 hour working week. This is a fixed-term contract or secondment opportunity until 31st March 2027, with the possibility of extension. We have an exciting new opportunity for a Be Your Best Schools Programme Lead. 'Be Your Best' is a fully funded, tier 2 commissioned healthy lifestyle programme for families with children aged 5-17 years, who are above a healthy weight range. We have been delivering the targeted programme since 2020; more information can be found on the Be Your Best website. You will be working collaboratively with colleagues from Active Surrey, Surrey County Council and other professionals working with children across the county. The contractual location for this role is Victoria Gate in central Woking however we support hybrid working. Attendance in the office will be required at least once a week in addition to frequent travel to primary schools across Surrey to deliver the Be Your Best Schools Programme. We support working from home the rest of the time. Our Offer to You 26 days' holiday, rising to 28 days after 2 years' service and 31 days after 5 years' service, pro rata for part time staff Option to buy up to 10 days of additional annual leave A generous local government salary related pension Up to 5 days of carer's leave and 2 paid volunteering days per year Paternity, adoption and dependents leave An Employee Assistance Programme (EAP) to support health and wellbeing Learning and development hub where you can access a wealth of resources Wellbeing and lifestyle discounts including gym, travel, and shopping A chance to make a real difference to the lives of our residents. About Active Surrey We are Active Surrey, one of 43 national Active Partnerships funded by Sport England to tackle inactivity driven by inequalities. We believe in the power of physical activity and the benefits it can offer as a mood booster, confidence lifter, social enhancer and a life extender. Less than half Surrey's children and young people are doing enough physical activity every week, which falls to only 4 out of 10 children amongst lower-income families. That's why we need YOU to join our 'Movement for Change' and help us challenge and change the status quo to get more people moving, and help us create a fairer, better and healthier future for everyone. Childhood obesity is a growing concern in Surrey, with more than one in four children leaving primary school above a healthy weight. NCMP data shows a 10 percentage-point increase between Reception and Year 6, highlighting the need for a prevention-led approach. About the Role The Be Your Best Healthy Lifestyle programme now includes a fully funded, in-school healthy lifestyle initiative designed to support children's physical and emotional wellbeing through engaging, interactive sessions. This new programme takes a whole-class approach. This role will report to the Active Surrey Health Manager. The purpose of this new role is to project manage and deliver the new Be Your Best Schools programme to meet the agreed key performance indicators as part of the Child & Family Healthy Weight Programme commission from Surrey Public Health. Key Responsibilities Promote the programme to prioritised schools across Surrey in order to meet targets Project manage all aspects of the Be Your Best Schools programme to meet defined targets Deliver the Be Your Best Schools workshops in primary schools across Surrey Be responsible for continuous improvement of the programme content based on feedback to optimise programme outcomes (with support from a Dietician) Lead the monitoring and evaluation of the programme. Report summaries of these outcomes to internal and external stakeholders Brief and support other staff who may also deliver the programme when extra capacity is required Support wider Be Your Best and Active Surrey projects and programmes as demand requires You'll love this job if: You are passionate about supporting children's physical and emotional wellbeing You enjoy delivering engaging and interactive workshops to large groups of children in a school environment You are at ease networking with Head Teachers, Home School Link Workers, PSHE leads and other professionals working in educational settings to promote the programme You enjoy analysing data to demonstrate the programme/project impact You work well independently and also collaboratively as part of a wider team. Your Application To be considered for shortlisting, your application will clearly evidence the following skills and align with our behaviours: A good knowledge of current health and wellbeing messages relating to nutrition and physical activity for primary school age children Experience of delivering engaging and inclusive group workshops to primary school aged children, ideally in a school environment Proven track record of building and maintaining positive relationships with stakeholders Excellent organisation skills with the ability to manage complex projects Excellent IT skills and competency in Microsoft Office Strong analytical skills, with the ability to work independently to analyse data and complete reports to demonstrate impact. To apply, we request that you submit a CV and you will be asked the following 4 questions: What three qualities do you have that would make you a good Be Your Best Schools Programme Lead and how do these qualities support Surrey County Council's culture of collaboration, inclusivity, and adaptability? Please share an example of when you have had to generate interest in a programme or area of work, ideally with primary schools. Please share how you went about this and the outcome. Please share your experience of working with data, giving a specific example where data has helped you with a project or programme. We work in an environment where we are encouraged to try new things and be curious to help us meet our goals. Please provide examples of where you have developed an idea that has helped you achieve an outcome or a goal. Surrey has both urban and rural areas and as this is a Surrey-wide programme you will need to have a valid driving licence to drive in the UK, access to a vehicle and be willing to travel across a wide geographical area. Reasonable adjustments where needed will be made for successful applicants who have a disability or long term health condition, to enable them to fulfil the requirements of the job. The job advert closes at 23:59 on 15/02/2026 with interviews planned to follow. An enhanced DBS 'Disclosure and Barring Service' check for regulated activity (formerly known as CRB) and the Children's and Adults' Barred List checks will be required for this role. Part time applicants would be considered for this role. Local Government Reorganisation (LGR) Surrey County Council is undergoing Local Government Reorganisation, moving from a two-tier system to two new unitary councils in April 2027. If you are employed by Surrey on 1st April 2027, your role will transfer with current terms and conditions to one of the new organisations, supporting local devolution and greater powers for our communities. Join our dynamic team and shape the future of local government. Make a lasting impact with innovative solutions and improved services for our community. Help us build a brighter future for our residents! Our Commitment We are a disability confident employer which means if you have shared a disability on your application form and have evidenced you meet the minimum criteria, we guarantee you an interview. Your skills and experience truly matter to us. From application to your first day, we're committed to supporting you with any adjustments you need, we value inclusion and warmly welcome you to join and help build a workplace where everyone belongs.
Jan 30, 2026
Contractor
This role has a starting salary of 36,873 per annum based on a 36 hour working week. This is a fixed-term contract or secondment opportunity until 31st March 2027, with the possibility of extension. We have an exciting new opportunity for a Be Your Best Schools Programme Lead. 'Be Your Best' is a fully funded, tier 2 commissioned healthy lifestyle programme for families with children aged 5-17 years, who are above a healthy weight range. We have been delivering the targeted programme since 2020; more information can be found on the Be Your Best website. You will be working collaboratively with colleagues from Active Surrey, Surrey County Council and other professionals working with children across the county. The contractual location for this role is Victoria Gate in central Woking however we support hybrid working. Attendance in the office will be required at least once a week in addition to frequent travel to primary schools across Surrey to deliver the Be Your Best Schools Programme. We support working from home the rest of the time. Our Offer to You 26 days' holiday, rising to 28 days after 2 years' service and 31 days after 5 years' service, pro rata for part time staff Option to buy up to 10 days of additional annual leave A generous local government salary related pension Up to 5 days of carer's leave and 2 paid volunteering days per year Paternity, adoption and dependents leave An Employee Assistance Programme (EAP) to support health and wellbeing Learning and development hub where you can access a wealth of resources Wellbeing and lifestyle discounts including gym, travel, and shopping A chance to make a real difference to the lives of our residents. About Active Surrey We are Active Surrey, one of 43 national Active Partnerships funded by Sport England to tackle inactivity driven by inequalities. We believe in the power of physical activity and the benefits it can offer as a mood booster, confidence lifter, social enhancer and a life extender. Less than half Surrey's children and young people are doing enough physical activity every week, which falls to only 4 out of 10 children amongst lower-income families. That's why we need YOU to join our 'Movement for Change' and help us challenge and change the status quo to get more people moving, and help us create a fairer, better and healthier future for everyone. Childhood obesity is a growing concern in Surrey, with more than one in four children leaving primary school above a healthy weight. NCMP data shows a 10 percentage-point increase between Reception and Year 6, highlighting the need for a prevention-led approach. About the Role The Be Your Best Healthy Lifestyle programme now includes a fully funded, in-school healthy lifestyle initiative designed to support children's physical and emotional wellbeing through engaging, interactive sessions. This new programme takes a whole-class approach. This role will report to the Active Surrey Health Manager. The purpose of this new role is to project manage and deliver the new Be Your Best Schools programme to meet the agreed key performance indicators as part of the Child & Family Healthy Weight Programme commission from Surrey Public Health. Key Responsibilities Promote the programme to prioritised schools across Surrey in order to meet targets Project manage all aspects of the Be Your Best Schools programme to meet defined targets Deliver the Be Your Best Schools workshops in primary schools across Surrey Be responsible for continuous improvement of the programme content based on feedback to optimise programme outcomes (with support from a Dietician) Lead the monitoring and evaluation of the programme. Report summaries of these outcomes to internal and external stakeholders Brief and support other staff who may also deliver the programme when extra capacity is required Support wider Be Your Best and Active Surrey projects and programmes as demand requires You'll love this job if: You are passionate about supporting children's physical and emotional wellbeing You enjoy delivering engaging and interactive workshops to large groups of children in a school environment You are at ease networking with Head Teachers, Home School Link Workers, PSHE leads and other professionals working in educational settings to promote the programme You enjoy analysing data to demonstrate the programme/project impact You work well independently and also collaboratively as part of a wider team. Your Application To be considered for shortlisting, your application will clearly evidence the following skills and align with our behaviours: A good knowledge of current health and wellbeing messages relating to nutrition and physical activity for primary school age children Experience of delivering engaging and inclusive group workshops to primary school aged children, ideally in a school environment Proven track record of building and maintaining positive relationships with stakeholders Excellent organisation skills with the ability to manage complex projects Excellent IT skills and competency in Microsoft Office Strong analytical skills, with the ability to work independently to analyse data and complete reports to demonstrate impact. To apply, we request that you submit a CV and you will be asked the following 4 questions: What three qualities do you have that would make you a good Be Your Best Schools Programme Lead and how do these qualities support Surrey County Council's culture of collaboration, inclusivity, and adaptability? Please share an example of when you have had to generate interest in a programme or area of work, ideally with primary schools. Please share how you went about this and the outcome. Please share your experience of working with data, giving a specific example where data has helped you with a project or programme. We work in an environment where we are encouraged to try new things and be curious to help us meet our goals. Please provide examples of where you have developed an idea that has helped you achieve an outcome or a goal. Surrey has both urban and rural areas and as this is a Surrey-wide programme you will need to have a valid driving licence to drive in the UK, access to a vehicle and be willing to travel across a wide geographical area. Reasonable adjustments where needed will be made for successful applicants who have a disability or long term health condition, to enable them to fulfil the requirements of the job. The job advert closes at 23:59 on 15/02/2026 with interviews planned to follow. An enhanced DBS 'Disclosure and Barring Service' check for regulated activity (formerly known as CRB) and the Children's and Adults' Barred List checks will be required for this role. Part time applicants would be considered for this role. Local Government Reorganisation (LGR) Surrey County Council is undergoing Local Government Reorganisation, moving from a two-tier system to two new unitary councils in April 2027. If you are employed by Surrey on 1st April 2027, your role will transfer with current terms and conditions to one of the new organisations, supporting local devolution and greater powers for our communities. Join our dynamic team and shape the future of local government. Make a lasting impact with innovative solutions and improved services for our community. Help us build a brighter future for our residents! Our Commitment We are a disability confident employer which means if you have shared a disability on your application form and have evidenced you meet the minimum criteria, we guarantee you an interview. Your skills and experience truly matter to us. From application to your first day, we're committed to supporting you with any adjustments you need, we value inclusion and warmly welcome you to join and help build a workplace where everyone belongs.
When dementia changes someone's life, the right support can make all the difference. If you care about helping people live well with dementia and making sure carers feel informed, listened to and supported, this could be a role where you genuinely see the impact of your work. Our Dementia Adviser's have the rewarding job of providing support and guidance to people with dementia and their carers; helping to maintain their independence, improving their sense of well-being, and putting them in more control of their lives. Our person-centred service is unique to each person we support as it is based upon their personal circumstances and support needs. We offer support to clients in a variety of ways, predominantly by delivering Carers Information and Support Programmes, Peer Support and Activity Groups in communities throughout the county, and on occasion covering other activities and provide dementia support, holding a small caseload if required. The successful candidate will join the team with one other Dementia Adviser and you will lead on all group activities being delivered as part of the Age Well contract. What you'll focus on: - Making sure all groups are high quality and meet the standards and goals set out in our Service Specifications. - Manage our Group Support Volunteers who will support you in the delivery of groups. - You will recruit and train new volunteers to ensure all groups are properly advertised and staffed - You will work from home and in the community, running groups, visiting people at home, promoting our service at events, and occasionally giving talks about dementia. - Identifying people's needs and the services they may wish to access, give advice about how to live well with dementia and support the improvement of their sense of wellbeing - Collate statistics and evidenced based outcomes to meet our targets including case studies and evaluation - Engaging with a variety of professionals from health, social care, voluntary and community sector. - Build relationships to ensure referrals into our service, and you have knowledge of services and support available for people with dementia and carers. About you - Ability and interest in supporting people to maintain their independence, improve their sense of well-being, and help them take more control of their lives - Good communication skills, adapting to a wide range of audiences and delivering presentations - Understanding of dementia and the needs of those living with dementia and their carers - Able to network effectively and collaborating with other professionals to achieve a positive outcome for people - Good IT skills, including experience working with databases and virtual meeting software (Teams/Zoom) - Ability to organise own work to ensure it is accurate, meets quality targets, deadlines and reporting requirements Dementia is the UK's biggest killer. One in three people born in the UK today will develop dementia in their lifetime. At Alzheimer's Society, we're the UK's leading dementia charity and the only one to tackle all aspects of dementia by giving help and hope to people living with dementia today and in the future. We give vital support to people facing the most frightening times of their lives, while also funding groundbreaking research and campaigning to make dementia the priority it should be. Together with our supporters, we're working towards a world where dementia no longer devastates lives. Our values make sure that our focus is clear for the challenges and opportunities ahead and remind us of what we all stand for. Our commitment to Equity, Diversity, Inclusion & Belonging We need to ensure the voices around our table better reflect and understand the communities we exist to serve. We strongly encourage individuals to apply who have a disability, impairment or health condition or individuals who identify as Black, Asian or from another minority ethnic background, as these groups are currently under-represented at Alzheimer's Society. We want everyone we work with, as a colleague, volunteer, supporter, or someone we support, to feel included and that they belong at Alzheimer's Society. Our Equity, Diversity and Inclusion Strategy here along with our internal employee forum and Employee Lived Experience network groups help us promote inclusion and belonging, becoming an engaged and inclusive organisation for all our people. Our hiring process During your recruitment process we want to make sure that you bring your whole self and can be at your best. We are working hard to ensure our recruitment process is as inclusive as possible, so please do inform us of your experience and anything you think we could do better by completing our candidate survey when you apply. Please also contact Alzheimer's Society Talent Acquisition Team via for application support or any adjustments you might need. To ensure fairness and consistency to select the best candidate for this role, all our applications are anonymised up until an interview has been confirmed. We recognise the benefits of AI, but if you're considering using it to submit your application, we encourage you to reflect on the value it truly adds. AI tools often lack the personal touch and authenticity that set candidates apart. We want to hear your unique perspective, experiences, and skills, so we encourage you to showcase them in your own voice. We try to avoid closing roles early where possible, however if we receive a high volume of applications, we may close earlier than the advertised closing date. Should this occur, we will aim to provide you with at least 48 hours' notice. We are committed to safer recruitment and ensuring the welfare of those we work with, due to the nature of some of our roles, we might need to carry out a DBS check at the relevant level. Giving back to you Our employees work hard every day to make a true difference in people's lives. We are proud to support them with a range of benefits, recognition and many options for working agilely, all contributing to a strong work life balance. We also have various learning programmes to support you in your development and help you grow to realise your potential.
Jan 30, 2026
Full time
When dementia changes someone's life, the right support can make all the difference. If you care about helping people live well with dementia and making sure carers feel informed, listened to and supported, this could be a role where you genuinely see the impact of your work. Our Dementia Adviser's have the rewarding job of providing support and guidance to people with dementia and their carers; helping to maintain their independence, improving their sense of well-being, and putting them in more control of their lives. Our person-centred service is unique to each person we support as it is based upon their personal circumstances and support needs. We offer support to clients in a variety of ways, predominantly by delivering Carers Information and Support Programmes, Peer Support and Activity Groups in communities throughout the county, and on occasion covering other activities and provide dementia support, holding a small caseload if required. The successful candidate will join the team with one other Dementia Adviser and you will lead on all group activities being delivered as part of the Age Well contract. What you'll focus on: - Making sure all groups are high quality and meet the standards and goals set out in our Service Specifications. - Manage our Group Support Volunteers who will support you in the delivery of groups. - You will recruit and train new volunteers to ensure all groups are properly advertised and staffed - You will work from home and in the community, running groups, visiting people at home, promoting our service at events, and occasionally giving talks about dementia. - Identifying people's needs and the services they may wish to access, give advice about how to live well with dementia and support the improvement of their sense of wellbeing - Collate statistics and evidenced based outcomes to meet our targets including case studies and evaluation - Engaging with a variety of professionals from health, social care, voluntary and community sector. - Build relationships to ensure referrals into our service, and you have knowledge of services and support available for people with dementia and carers. About you - Ability and interest in supporting people to maintain their independence, improve their sense of well-being, and help them take more control of their lives - Good communication skills, adapting to a wide range of audiences and delivering presentations - Understanding of dementia and the needs of those living with dementia and their carers - Able to network effectively and collaborating with other professionals to achieve a positive outcome for people - Good IT skills, including experience working with databases and virtual meeting software (Teams/Zoom) - Ability to organise own work to ensure it is accurate, meets quality targets, deadlines and reporting requirements Dementia is the UK's biggest killer. One in three people born in the UK today will develop dementia in their lifetime. At Alzheimer's Society, we're the UK's leading dementia charity and the only one to tackle all aspects of dementia by giving help and hope to people living with dementia today and in the future. We give vital support to people facing the most frightening times of their lives, while also funding groundbreaking research and campaigning to make dementia the priority it should be. Together with our supporters, we're working towards a world where dementia no longer devastates lives. Our values make sure that our focus is clear for the challenges and opportunities ahead and remind us of what we all stand for. Our commitment to Equity, Diversity, Inclusion & Belonging We need to ensure the voices around our table better reflect and understand the communities we exist to serve. We strongly encourage individuals to apply who have a disability, impairment or health condition or individuals who identify as Black, Asian or from another minority ethnic background, as these groups are currently under-represented at Alzheimer's Society. We want everyone we work with, as a colleague, volunteer, supporter, or someone we support, to feel included and that they belong at Alzheimer's Society. Our Equity, Diversity and Inclusion Strategy here along with our internal employee forum and Employee Lived Experience network groups help us promote inclusion and belonging, becoming an engaged and inclusive organisation for all our people. Our hiring process During your recruitment process we want to make sure that you bring your whole self and can be at your best. We are working hard to ensure our recruitment process is as inclusive as possible, so please do inform us of your experience and anything you think we could do better by completing our candidate survey when you apply. Please also contact Alzheimer's Society Talent Acquisition Team via for application support or any adjustments you might need. To ensure fairness and consistency to select the best candidate for this role, all our applications are anonymised up until an interview has been confirmed. We recognise the benefits of AI, but if you're considering using it to submit your application, we encourage you to reflect on the value it truly adds. AI tools often lack the personal touch and authenticity that set candidates apart. We want to hear your unique perspective, experiences, and skills, so we encourage you to showcase them in your own voice. We try to avoid closing roles early where possible, however if we receive a high volume of applications, we may close earlier than the advertised closing date. Should this occur, we will aim to provide you with at least 48 hours' notice. We are committed to safer recruitment and ensuring the welfare of those we work with, due to the nature of some of our roles, we might need to carry out a DBS check at the relevant level. Giving back to you Our employees work hard every day to make a true difference in people's lives. We are proud to support them with a range of benefits, recognition and many options for working agilely, all contributing to a strong work life balance. We also have various learning programmes to support you in your development and help you grow to realise your potential.
Rinova Ltd is an established and successful Employee-owned company, with headquarters in central London and a branch in Malaga, Spain. Rinova is a key deliverer in both UK and EU funded provision. This role is an opportunity to join an innovative, fast-growing company that offers the right applicant the chance to develop their career aspirations. This new key role will support a range of projects across the company, with the option for occasional international travel. About the job Rinova Ltd are currently seeking an Employer Liaison and Engagement Lead Officer to support delivery across a range of funded projects in skills, employability and training. Initially, the role will be focused on two key sectors - hospitality and the creative industries, and both projects will be delivered in the London Borough of Southwark. There will subsequently be an opportunity to support other projects related to skills and requiring employer engagement across London. For the hospitality project, the candidate will work with existing and potential hospitality employers, driving engagement and forging pathways for potential job candidates in the borough of Southwark for opportunities in hospitality roles. The candidate will explore job opportunities for local residents in subsectors such as travel and tourism and the expanding experience economy. In addition the candidate will seek out opportunities for up-skilling local residents who are already in employment. For the creative and cultural programme, the successful candidate will be expected to support the development of a network of a wide range of employers across the creative sector, including but not limited to film, music, literature, theatre, performance, gaming, fashion, arts & crafts. This will require strong stakeholder engagement skills, encouraging participation from employers in steering groups, networking events and contributions to skills and training initiatives. This role would suit someone with experience in employer relations, careers advice, work placements or arranging apprenticeships. We need a committed, enthusiastic, and positive individual to join our fantastic team of professionals - empathy, great communication skills and a passion for helping people achieve their potential are must-haves. The successful candidate will be able to identify and engage potential employers, broker and establish ongoing dialogue and good relations with them and find ways for them to assist in forging clear pathways for participants identified within the programmes. They will be expected to present to external partners and stakeholders. The role will be offered on a full-time basis mainly working within the Rinova office and across the Southwark borough, with the opportunity to work remotely on occasions. About us Rinova Ltd is an employee-owned company and a social enterprise operating in the fields of social, economic and cultural development. We specialise in the design and delivery of projects in employment, learning and skills, enterprise, arts and culture and regeneration - in London and internationally. Whilst this role is focused on our UK delivery, there may be opportunities to be involved in our international work and in European travel. Our work includes project development, project management, research, evaluation, funding development, training and capacity building. The client is at the heart of everything we do; our success depends upon partnership working and forging positive and productive relationships with our partners and stakeholders. This is an ideal opportunity for someone that can broker successful partnerships between employers and potential employees and loves supporting individuals to achieve their employment, education and personal goals. Please apply with your CV and a supporting statement, which should address all points on the person specification. Applications without the required documents will not be considered for shortlisting. Start date: We would like the successful candidate to start as soon as possible. Please let us know when you would be available to take up the position if you were to be successful. Interviews: Successful candidates will be advised when the interviews will take place. Job description Employer Engagement, Outreach, & Representation Build, manage and sustain a diverse network of employers across hospitality, (including tourism and the experience economy sector) and creative industries (including film, music, theatre, gaming, fashion, arts and crafts) across the capital. For the creative sector there is a particular emphasis on engaging employers from the London Borough of Southwark. Identify, approach and engage new employers, promoting participation in funded skills and employability programmes. Work with individual employers to identify employment opportunities and provide a brokerage service between local residents and participating employers Broker meaningful opportunities for programme participants, including job vacancies, work experience, placements, mentoring, site visits and employer-led activities. Support colleagues in the provision of quality information, advice and guidance to match local residents to suitable vacancies. Act as the main point of contact for employers, maintaining regular communication and strong working relationships. Encourage and support employer involvement in steering groups, networking events, panels, workshops and training initiatives. Represent Rinova professionally at employer meetings, industry events and stakeholder forums. Deliver presentations to employers and partners to promote projects, explain benefits of engagement and support buy-in. Work closely with internal project teams to align employer engagement with participant needs and programme outcomes. Support employer onboarding, ensuring clarity around expectations, safeguarding, data protection and funded programme requirements. Maintain accurate records of employer engagement, opportunities created and outcomes achieved. Values, Inclusion & Professional Practice Demonstrate empathy, professionalism and cultural awareness when working with employers, participants and partners from diverse backgrounds. Actively promote equality, inclusion and accessibility, ensuring employer engagement supports inclusive recruitment, retention and progression. Work flexibly across the London Borough of Southwark, including occasional evenings or weekends, and occasional remote working. Contribute positively to Rinova s employee-owned, collaborative culture, sharing learning and supporting team objectives. Uphold Rinova s values and mission, ensuring a participant-centred, partnership-led approach to delivery. Person Specification Please address all points in your supporting statement and give examples Essential Skills, Knowledge and Experience Employer Liaison & Brokerage Skills Experience in recruitment, job brokerage skills, employer engagement, employer liaison or business development within employability, skills or training contexts. Proven ability to identify, approach and build relationships with employers, encouraging sustained engagement. Experience brokering opportunities such as jobs, placements, apprenticeships, work experience or employer-led activities. Ability to manage multiple employer relationships and maintain clear communication and follow-up. Experience of Creative and/or Hospitality Sector Knowledge of, or experience working with, the hospitality, tourism and experience economy and/or creative industries. Understanding of employment pathways, roles and recruitment practices within these sectors. Ability to speak confidently with employers about skills needs, workforce challenges and progression routes. Partnerships, Outreach & Stakeholder Engagement Experience of outreach activity, including engaging employers, partners or stakeholders from diverse backgrounds. Confidence representing an organisation externally and building trust with senior stakeholders. Ability to work collaboratively with partners to achieve shared outcomes. Experience supporting or contributing to employer forums, networking events or stakeholder meetings. Communication, Administration & IT Excellent written and verbal communication skills, with the ability to produce professional reports, evaluations and presentations. Strong organisational skills with the ability to prioritise a varied workload and manage competing demands. High level of IT competence, including Microsoft Office (Word, Excel, PowerPoint) and digital collaboration systems. Experience of managing confidential data and records in line with GDPR requirements. Professional Practice & Values Empathetic, professional and culturally aware when working with diverse participant groups. Strong commitment to equality, inclusion and accessibility in programme delivery. Flexible approach to working, including willingness to work occasional evenings or weekends and travel across London boroughs. Ability to work independently while contributing positively to a collaborative, employee-owned organisation. Strong alignment with Rinova s mission, values and partnership-led approach to social impact. . click apply for full job details
Jan 30, 2026
Full time
Rinova Ltd is an established and successful Employee-owned company, with headquarters in central London and a branch in Malaga, Spain. Rinova is a key deliverer in both UK and EU funded provision. This role is an opportunity to join an innovative, fast-growing company that offers the right applicant the chance to develop their career aspirations. This new key role will support a range of projects across the company, with the option for occasional international travel. About the job Rinova Ltd are currently seeking an Employer Liaison and Engagement Lead Officer to support delivery across a range of funded projects in skills, employability and training. Initially, the role will be focused on two key sectors - hospitality and the creative industries, and both projects will be delivered in the London Borough of Southwark. There will subsequently be an opportunity to support other projects related to skills and requiring employer engagement across London. For the hospitality project, the candidate will work with existing and potential hospitality employers, driving engagement and forging pathways for potential job candidates in the borough of Southwark for opportunities in hospitality roles. The candidate will explore job opportunities for local residents in subsectors such as travel and tourism and the expanding experience economy. In addition the candidate will seek out opportunities for up-skilling local residents who are already in employment. For the creative and cultural programme, the successful candidate will be expected to support the development of a network of a wide range of employers across the creative sector, including but not limited to film, music, literature, theatre, performance, gaming, fashion, arts & crafts. This will require strong stakeholder engagement skills, encouraging participation from employers in steering groups, networking events and contributions to skills and training initiatives. This role would suit someone with experience in employer relations, careers advice, work placements or arranging apprenticeships. We need a committed, enthusiastic, and positive individual to join our fantastic team of professionals - empathy, great communication skills and a passion for helping people achieve their potential are must-haves. The successful candidate will be able to identify and engage potential employers, broker and establish ongoing dialogue and good relations with them and find ways for them to assist in forging clear pathways for participants identified within the programmes. They will be expected to present to external partners and stakeholders. The role will be offered on a full-time basis mainly working within the Rinova office and across the Southwark borough, with the opportunity to work remotely on occasions. About us Rinova Ltd is an employee-owned company and a social enterprise operating in the fields of social, economic and cultural development. We specialise in the design and delivery of projects in employment, learning and skills, enterprise, arts and culture and regeneration - in London and internationally. Whilst this role is focused on our UK delivery, there may be opportunities to be involved in our international work and in European travel. Our work includes project development, project management, research, evaluation, funding development, training and capacity building. The client is at the heart of everything we do; our success depends upon partnership working and forging positive and productive relationships with our partners and stakeholders. This is an ideal opportunity for someone that can broker successful partnerships between employers and potential employees and loves supporting individuals to achieve their employment, education and personal goals. Please apply with your CV and a supporting statement, which should address all points on the person specification. Applications without the required documents will not be considered for shortlisting. Start date: We would like the successful candidate to start as soon as possible. Please let us know when you would be available to take up the position if you were to be successful. Interviews: Successful candidates will be advised when the interviews will take place. Job description Employer Engagement, Outreach, & Representation Build, manage and sustain a diverse network of employers across hospitality, (including tourism and the experience economy sector) and creative industries (including film, music, theatre, gaming, fashion, arts and crafts) across the capital. For the creative sector there is a particular emphasis on engaging employers from the London Borough of Southwark. Identify, approach and engage new employers, promoting participation in funded skills and employability programmes. Work with individual employers to identify employment opportunities and provide a brokerage service between local residents and participating employers Broker meaningful opportunities for programme participants, including job vacancies, work experience, placements, mentoring, site visits and employer-led activities. Support colleagues in the provision of quality information, advice and guidance to match local residents to suitable vacancies. Act as the main point of contact for employers, maintaining regular communication and strong working relationships. Encourage and support employer involvement in steering groups, networking events, panels, workshops and training initiatives. Represent Rinova professionally at employer meetings, industry events and stakeholder forums. Deliver presentations to employers and partners to promote projects, explain benefits of engagement and support buy-in. Work closely with internal project teams to align employer engagement with participant needs and programme outcomes. Support employer onboarding, ensuring clarity around expectations, safeguarding, data protection and funded programme requirements. Maintain accurate records of employer engagement, opportunities created and outcomes achieved. Values, Inclusion & Professional Practice Demonstrate empathy, professionalism and cultural awareness when working with employers, participants and partners from diverse backgrounds. Actively promote equality, inclusion and accessibility, ensuring employer engagement supports inclusive recruitment, retention and progression. Work flexibly across the London Borough of Southwark, including occasional evenings or weekends, and occasional remote working. Contribute positively to Rinova s employee-owned, collaborative culture, sharing learning and supporting team objectives. Uphold Rinova s values and mission, ensuring a participant-centred, partnership-led approach to delivery. Person Specification Please address all points in your supporting statement and give examples Essential Skills, Knowledge and Experience Employer Liaison & Brokerage Skills Experience in recruitment, job brokerage skills, employer engagement, employer liaison or business development within employability, skills or training contexts. Proven ability to identify, approach and build relationships with employers, encouraging sustained engagement. Experience brokering opportunities such as jobs, placements, apprenticeships, work experience or employer-led activities. Ability to manage multiple employer relationships and maintain clear communication and follow-up. Experience of Creative and/or Hospitality Sector Knowledge of, or experience working with, the hospitality, tourism and experience economy and/or creative industries. Understanding of employment pathways, roles and recruitment practices within these sectors. Ability to speak confidently with employers about skills needs, workforce challenges and progression routes. Partnerships, Outreach & Stakeholder Engagement Experience of outreach activity, including engaging employers, partners or stakeholders from diverse backgrounds. Confidence representing an organisation externally and building trust with senior stakeholders. Ability to work collaboratively with partners to achieve shared outcomes. Experience supporting or contributing to employer forums, networking events or stakeholder meetings. Communication, Administration & IT Excellent written and verbal communication skills, with the ability to produce professional reports, evaluations and presentations. Strong organisational skills with the ability to prioritise a varied workload and manage competing demands. High level of IT competence, including Microsoft Office (Word, Excel, PowerPoint) and digital collaboration systems. Experience of managing confidential data and records in line with GDPR requirements. Professional Practice & Values Empathetic, professional and culturally aware when working with diverse participant groups. Strong commitment to equality, inclusion and accessibility in programme delivery. Flexible approach to working, including willingness to work occasional evenings or weekends and travel across London boroughs. Ability to work independently while contributing positively to a collaborative, employee-owned organisation. Strong alignment with Rinova s mission, values and partnership-led approach to social impact. . click apply for full job details
About Ideal Ideal is an inspiring place to work. We re an award-winning, independent company, leading in our field and offering a refreshingly different experience to the larger IT solutions providers. Our team has worked on some of the biggest projects in the UK and Europe, earning a reputation for delivering smart, real-world solutions using only the best technology vendors in the business. With expertise in Connectivity, Networks, Smart Buildings, Advanced Wi-Fi, Cybersecurity and Managed IT Services, we proudly support a diverse client base across the public and private sectors. We re passionate about continuous learning and invest heavily in our people, supporting everything from technical certifications to soft skills and personal development. If you re looking to grow your career with a forward-thinking team that truly values innovation and impact, you ll fit right in. We welcome applicants from all backgrounds and aim to offer all our staff the support they need to achieve their career goals. We particularly welcome candidates form under-represented groups in the Tech Community. What You Can Expect from Us: Training: Guaranteed investment in your personal and professional development, including 6 days paid study leave. Working Pattern: Flexible, office and home. Location: Superb, open-plan, modern office, right next to Brighton station. Work/Life Balance: 25 days annual leave plus flexible working opportunities. Wellness & Wellbeing: We take our teams health seriously activities, socials and coaching are routine to us. The Role We are seeking a highly experienced and results-driven Senior Project Manager to lead complex IT infrastructure and networking projects, including large-scale construction and implementation efforts. This role will focus on the delivery of enterprise-grade IT solutions, with a strong emphasis on working with industry-leading technologies including Cisco, Palo Alto, and Fortinet. You will be responsible for managing end-to-end project lifecycles from pre-sales, through planning and design, implementation and handover within construction and corporate environments. This is a strategic role that requires technical knowledge, leadership, and excellent stakeholder management skills. What You ll Be Doing: Lead cross-functional teams in the planning, execution, and delivery of IT infrastructure and network projects, often in conjunction with new construction or renovation efforts. Manage multiple concurrent projects while ensuring alignment with scope, budget, timeline, and quality goals. Collaborate with engineering, client IT and construction teams to design and implement robust network solutions. Ensure all networking and infrastructure solutions adhere to the relevant specifications. Oversee project-level supplier management and coordination. Manage stakeholder expectations and project communications across technical and non-technical audiences. Identify and mitigate project risks and issues proactively. Track and report on project KPIs, milestones, and deliverables using appropriate tools (e.g. MS Project, Salesforce, ClickUp/Monday). Support change management, documentation, and handoff to operational teams. Mentoring other members of the project team and Engineers. Assisting the Head of Projects with setting direction, refining process and driving continuous improvement. About You: Project Management Expertise: 5+ years of experience managing IT projects, particularly in networking, infrastructure, and construction or facilities build-out environments. Certified in PMP, APM, PRINCE2, or equivalent. Technical Knowledge: Proven experience with Cisco, Palo Alto Networks, Fortinet, Microsoft 365, Azure, and AWS. Hands-on familiarity with enterprise-grade networking, firewalls, Wi-Fi, structured cabling, physical security, and data centre technologies. IT Operations & Security: Solid understanding of IT service delivery, systems integration, and security technologies. Communication & Stakeholder Engagement: Exceptional communication and organisational skills, with the ability to engage stakeholders at all levels, driving positive contributions. Leadership & Delivery: Skilled in managing budgets, schedules, and resources in fast-paced environments. Strong problem-solving abilities and experience working with both large enterprises and smaller organisations. Benefits: 22 days Annual Leave + Bank Holidays. Health Cash Plan, Annual Bonus Scheme, Opportunity and Colleague-Led Spot Bonus Schemes. Cycle2Work Scheme, Headspace Subscription, Perkbox Benefits Program, and more. Remote Work & Flexible Hours, Regular Social Events. Extensive training and development opportunities with paid study leave. Community focused groups such as our in-house Diversity, Inclusion and Belonging Team and Culture Club. If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best, please let us know so we can talk about how we can best support you and make any adjustments that may be needed.
Jan 30, 2026
Full time
About Ideal Ideal is an inspiring place to work. We re an award-winning, independent company, leading in our field and offering a refreshingly different experience to the larger IT solutions providers. Our team has worked on some of the biggest projects in the UK and Europe, earning a reputation for delivering smart, real-world solutions using only the best technology vendors in the business. With expertise in Connectivity, Networks, Smart Buildings, Advanced Wi-Fi, Cybersecurity and Managed IT Services, we proudly support a diverse client base across the public and private sectors. We re passionate about continuous learning and invest heavily in our people, supporting everything from technical certifications to soft skills and personal development. If you re looking to grow your career with a forward-thinking team that truly values innovation and impact, you ll fit right in. We welcome applicants from all backgrounds and aim to offer all our staff the support they need to achieve their career goals. We particularly welcome candidates form under-represented groups in the Tech Community. What You Can Expect from Us: Training: Guaranteed investment in your personal and professional development, including 6 days paid study leave. Working Pattern: Flexible, office and home. Location: Superb, open-plan, modern office, right next to Brighton station. Work/Life Balance: 25 days annual leave plus flexible working opportunities. Wellness & Wellbeing: We take our teams health seriously activities, socials and coaching are routine to us. The Role We are seeking a highly experienced and results-driven Senior Project Manager to lead complex IT infrastructure and networking projects, including large-scale construction and implementation efforts. This role will focus on the delivery of enterprise-grade IT solutions, with a strong emphasis on working with industry-leading technologies including Cisco, Palo Alto, and Fortinet. You will be responsible for managing end-to-end project lifecycles from pre-sales, through planning and design, implementation and handover within construction and corporate environments. This is a strategic role that requires technical knowledge, leadership, and excellent stakeholder management skills. What You ll Be Doing: Lead cross-functional teams in the planning, execution, and delivery of IT infrastructure and network projects, often in conjunction with new construction or renovation efforts. Manage multiple concurrent projects while ensuring alignment with scope, budget, timeline, and quality goals. Collaborate with engineering, client IT and construction teams to design and implement robust network solutions. Ensure all networking and infrastructure solutions adhere to the relevant specifications. Oversee project-level supplier management and coordination. Manage stakeholder expectations and project communications across technical and non-technical audiences. Identify and mitigate project risks and issues proactively. Track and report on project KPIs, milestones, and deliverables using appropriate tools (e.g. MS Project, Salesforce, ClickUp/Monday). Support change management, documentation, and handoff to operational teams. Mentoring other members of the project team and Engineers. Assisting the Head of Projects with setting direction, refining process and driving continuous improvement. About You: Project Management Expertise: 5+ years of experience managing IT projects, particularly in networking, infrastructure, and construction or facilities build-out environments. Certified in PMP, APM, PRINCE2, or equivalent. Technical Knowledge: Proven experience with Cisco, Palo Alto Networks, Fortinet, Microsoft 365, Azure, and AWS. Hands-on familiarity with enterprise-grade networking, firewalls, Wi-Fi, structured cabling, physical security, and data centre technologies. IT Operations & Security: Solid understanding of IT service delivery, systems integration, and security technologies. Communication & Stakeholder Engagement: Exceptional communication and organisational skills, with the ability to engage stakeholders at all levels, driving positive contributions. Leadership & Delivery: Skilled in managing budgets, schedules, and resources in fast-paced environments. Strong problem-solving abilities and experience working with both large enterprises and smaller organisations. Benefits: 22 days Annual Leave + Bank Holidays. Health Cash Plan, Annual Bonus Scheme, Opportunity and Colleague-Led Spot Bonus Schemes. Cycle2Work Scheme, Headspace Subscription, Perkbox Benefits Program, and more. Remote Work & Flexible Hours, Regular Social Events. Extensive training and development opportunities with paid study leave. Community focused groups such as our in-house Diversity, Inclusion and Belonging Team and Culture Club. If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best, please let us know so we can talk about how we can best support you and make any adjustments that may be needed.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do AI Engineering & Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage. Standards, Governance & Reusable Assets Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets (AI cookbooks), while building starter agents and configuration patterns that accelerate adoption across Sky. Microsoft Copilot Studio Expertise & Enablement Act as Sky's primary internal reference for Copilot Studio-maintaining deep knowledge of capabilities, limitations, design patterns, frequent updates, release notes, and roadmap changes-and translate new features into practical guidance, patterns, examples, and enterprise assessments of risk and opportunity. Cross-Functional Collaboration, Coaching & Culture Building Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge-sharing culture. Innovation, Leadership & Continuous Learning Stay ahead of AI engineering trends and emerging tools, demonstrate curiosity and initiative, balance multiple priorities with strong organisational skills, contribute ideas that drive innovation and efficiency, proactively ensure Sky leads in effective and responsible AI use, and seek ongoing professional development through mentoring, training, and hands-on experience. What you'll bring Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle. Proven Automation experience using Public Cloud or Microsoft Technologies Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards. Proven record of delivering AI solutions from concept to production with measurable business impact. Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability. Passionate about AI technologies, automation, and innovation at speed and scale. Experience in refactoring, optimisation, and writing clean, performant code. Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 30, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions. What you'll do AI Engineering & Solution Delivery Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision-making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes. AI Lifecycle Ownership & Responsible AI Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage. Standards, Governance & Reusable Assets Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets (AI cookbooks), while building starter agents and configuration patterns that accelerate adoption across Sky. Microsoft Copilot Studio Expertise & Enablement Act as Sky's primary internal reference for Copilot Studio-maintaining deep knowledge of capabilities, limitations, design patterns, frequent updates, release notes, and roadmap changes-and translate new features into practical guidance, patterns, examples, and enterprise assessments of risk and opportunity. Cross-Functional Collaboration, Coaching & Culture Building Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge-sharing culture. Innovation, Leadership & Continuous Learning Stay ahead of AI engineering trends and emerging tools, demonstrate curiosity and initiative, balance multiple priorities with strong organisational skills, contribute ideas that drive innovation and efficiency, proactively ensure Sky leads in effective and responsible AI use, and seek ongoing professional development through mentoring, training, and hands-on experience. What you'll bring Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle. Proven Automation experience using Public Cloud or Microsoft Technologies Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards. Proven record of delivering AI solutions from concept to production with measurable business impact. Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability. Passionate about AI technologies, automation, and innovation at speed and scale. Experience in refactoring, optimisation, and writing clean, performant code. Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 30, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 30, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 30, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 30, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 30, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 30, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 30, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 30, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 30, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 30, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
