Production Chef - The O2 Arena £38,000 per annum + great benefits including 23 days annual leave + bank holidays, healthcare, meals on duty, life assurance, and more. We're looking for a Production Chef to deliver best in class culinary experiences for guests at The O2 Arena - one of the world's most iconic entertainment venues. In this exciting Production Chef role you will work closely with our Head Chef to oversee preparation, cooking, and service arrangements; taking responsibility for the smooth and efficient running of the Production Kitchen day-to-day. If you're ready to collaborate with all areas of our talented culinary teams to deliver excellent food at one of London's most renowned live event venues, we want to hear from you! Who we are Levy UK & Ireland is the vibrant and exciting sector of Compass Group, the world's largest catering company. We work at some of the greatest venues in the world, delivering legendary experiences in food, drink, and hospitality. We are culinary champions - it's what we do and it's what we are passionate about. At the core of our work is the belief that sustainably sourced great food and drink, coupled with exceptional service is key to creating legendary experiences. Focused on doing the right thing for our people and the planet, sustainability, wellbeing, diversity and inclusion are at the heart of what we do. Production Chef - the role Taking responsibility for the smooth and efficient day-to-day running of the Production. Supervising the preparation and cooking of all food produced on site ensuring excellent standards are maintained. Scheduling and coordinating work to ensure that food preparation is delivered in a timely fashion and to the highest standards. Ensuring all food is prepared to required standards checking for taste, presentation and quality. Ensuring compliant purchase of products and other necessary food supplies working within the agreed budget. Ensuring that high standards of cleanliness and safety are always maintained throughout all areas of the kitchen. Maintaining controls to minimise food waste. Attending catering planning meetings as required (e.g., Function Sheet Meeting) Assisting in the planning of menus as required ensuring menus meet highest possible standards and remain in line with budgeted costs. Maintaining high levels of food safety throughout your working environment at all times including risk assessments, food hygiene procedures, training, and HSE procedures. What we're looking for A leader with a positive outlook, a passion for celebrating success, and the ability to build trusted relationships with colleagues and clients Contagious enthusiasm and excellent communication skills A motivated and commercial mindset - always looking to improve with culinary trends in mind The ability to work flexible hours due to the nature of the role and events What you'll get in return Competitive salary with bonus and full company benefits 23 days' annual leave plus bank holidays, your birthday off, and a holiday purchase scheme Healthcare & wellbeing: Aviva Digicare, Medicash (dental, optical, therapy treatments) Mental health support: 24/7 Employee Assistance Programme Family benefits: 2 days' additional leave after returning from maternity leave, day off for your baby's first birthday, enhanced family leave Perks & discounts: Shopping, entertainment, and travel discounts, 20% off Nuffield Health and 10% off PureGym memberships Financial wellbeing: Pension scheme, Life Assurance, preferred rates on salary finance products Development opportunities: Professional subscriptions, ongoing training and structured career pathways Meals on duty included Why Join Us? Levy UK & Ireland is part of Compass Group, the world's largest catering company, and a vibrant leader in hospitality. We believe in celebrating individuality and building inclusive teams where everyone feels they belong. Our diverse team fuels creativity, innovation, and excellence. We are proud to be an equal opportunities employer and welcome candidates from all backgrounds to join us in creating a supportive, empowering workplace where everyone can thrive. Together, we create unforgettable experiences - and shape the future of hospitality.
Jan 22, 2026
Full time
Production Chef - The O2 Arena £38,000 per annum + great benefits including 23 days annual leave + bank holidays, healthcare, meals on duty, life assurance, and more. We're looking for a Production Chef to deliver best in class culinary experiences for guests at The O2 Arena - one of the world's most iconic entertainment venues. In this exciting Production Chef role you will work closely with our Head Chef to oversee preparation, cooking, and service arrangements; taking responsibility for the smooth and efficient running of the Production Kitchen day-to-day. If you're ready to collaborate with all areas of our talented culinary teams to deliver excellent food at one of London's most renowned live event venues, we want to hear from you! Who we are Levy UK & Ireland is the vibrant and exciting sector of Compass Group, the world's largest catering company. We work at some of the greatest venues in the world, delivering legendary experiences in food, drink, and hospitality. We are culinary champions - it's what we do and it's what we are passionate about. At the core of our work is the belief that sustainably sourced great food and drink, coupled with exceptional service is key to creating legendary experiences. Focused on doing the right thing for our people and the planet, sustainability, wellbeing, diversity and inclusion are at the heart of what we do. Production Chef - the role Taking responsibility for the smooth and efficient day-to-day running of the Production. Supervising the preparation and cooking of all food produced on site ensuring excellent standards are maintained. Scheduling and coordinating work to ensure that food preparation is delivered in a timely fashion and to the highest standards. Ensuring all food is prepared to required standards checking for taste, presentation and quality. Ensuring compliant purchase of products and other necessary food supplies working within the agreed budget. Ensuring that high standards of cleanliness and safety are always maintained throughout all areas of the kitchen. Maintaining controls to minimise food waste. Attending catering planning meetings as required (e.g., Function Sheet Meeting) Assisting in the planning of menus as required ensuring menus meet highest possible standards and remain in line with budgeted costs. Maintaining high levels of food safety throughout your working environment at all times including risk assessments, food hygiene procedures, training, and HSE procedures. What we're looking for A leader with a positive outlook, a passion for celebrating success, and the ability to build trusted relationships with colleagues and clients Contagious enthusiasm and excellent communication skills A motivated and commercial mindset - always looking to improve with culinary trends in mind The ability to work flexible hours due to the nature of the role and events What you'll get in return Competitive salary with bonus and full company benefits 23 days' annual leave plus bank holidays, your birthday off, and a holiday purchase scheme Healthcare & wellbeing: Aviva Digicare, Medicash (dental, optical, therapy treatments) Mental health support: 24/7 Employee Assistance Programme Family benefits: 2 days' additional leave after returning from maternity leave, day off for your baby's first birthday, enhanced family leave Perks & discounts: Shopping, entertainment, and travel discounts, 20% off Nuffield Health and 10% off PureGym memberships Financial wellbeing: Pension scheme, Life Assurance, preferred rates on salary finance products Development opportunities: Professional subscriptions, ongoing training and structured career pathways Meals on duty included Why Join Us? Levy UK & Ireland is part of Compass Group, the world's largest catering company, and a vibrant leader in hospitality. We believe in celebrating individuality and building inclusive teams where everyone feels they belong. Our diverse team fuels creativity, innovation, and excellence. We are proud to be an equal opportunities employer and welcome candidates from all backgrounds to join us in creating a supportive, empowering workplace where everyone can thrive. Together, we create unforgettable experiences - and shape the future of hospitality.
Head of Business Transformation & Operational Excellence Oxford Permanent A senior leadership role driving digital transformation, operational excellence, and commercial?operational alignment across a complex aviation/engineering environment. You'll lead major change programmes, modernise systems and processes, and embed a culture of continuous improvement to deliver industry?leading performance. Key Responsibilities Lead business transformation strategy and execution Align commercial commitments with operational delivery Own cost baselines and performance dashboards Oversee digital systems, data architecture, and "single source of truth" reporting Drive process optimisation and continuous improvement Lead governance of transformation programmes and report to senior leadership Manage and mentor BI and application development teams Essential Skills Proven transformation leadership in complex environments Experience delivering operational change at shop?floor level (production or MRO) Strong technical architecture and system?integration expertise Excellent stakeholder management and communication Expert knowledge of Envision or similar MRO/ERP systems Strong SQL/PLSQL and data?modelling skills Desirable Knowledge of airworthiness and aviation maintenance operations Experience with Google Cloud or Oracle Cloud Infrastructure Requirements DBS and eligibility for SC clearance Must meet Export Compliance Regulations Legal right to work in the UK Benefits Competitive salary + private medical, pension scheme, bonus opportunities, share plans, cycle?to?work, tech purchase schemes, healthcare cash plan, travel insurance, and more. Apply today
Jan 21, 2026
Full time
Head of Business Transformation & Operational Excellence Oxford Permanent A senior leadership role driving digital transformation, operational excellence, and commercial?operational alignment across a complex aviation/engineering environment. You'll lead major change programmes, modernise systems and processes, and embed a culture of continuous improvement to deliver industry?leading performance. Key Responsibilities Lead business transformation strategy and execution Align commercial commitments with operational delivery Own cost baselines and performance dashboards Oversee digital systems, data architecture, and "single source of truth" reporting Drive process optimisation and continuous improvement Lead governance of transformation programmes and report to senior leadership Manage and mentor BI and application development teams Essential Skills Proven transformation leadership in complex environments Experience delivering operational change at shop?floor level (production or MRO) Strong technical architecture and system?integration expertise Excellent stakeholder management and communication Expert knowledge of Envision or similar MRO/ERP systems Strong SQL/PLSQL and data?modelling skills Desirable Knowledge of airworthiness and aviation maintenance operations Experience with Google Cloud or Oracle Cloud Infrastructure Requirements DBS and eligibility for SC clearance Must meet Export Compliance Regulations Legal right to work in the UK Benefits Competitive salary + private medical, pension scheme, bonus opportunities, share plans, cycle?to?work, tech purchase schemes, healthcare cash plan, travel insurance, and more. Apply today
Flow Coordinator - Join Our Dynamic Team at gategroup! Location: West Drayton Salary: 13.74/hour + overtime at 1.25x Full-Time Are you a natural communicator with a can-do attitude? We're looking for a Flow Coordinator to join our fast-paced airline catering operation! What We Offer: Competitive Package: 13.74 per hour with enhanced overtime rates 4 on/2 off shift pattern (06:00-14:00, 14:00-22:00, 22:00-06:00) Free parking, meals & uniform Company sick pay & generous holiday entitlement Can you work in cold area Career Development: Comprehensive in-house training Career progression opportunities Forklift allowance upon certification Pension scheme from day one Employee Wellbeing: Employee Assistance Programme with free counselling Generous refer-a-friend bonuses Exclusive discount platform Cycle to work scheme The Role: You'll oversee operations within your designated area, ensuring quality standards and operational targets are met. Key responsibilities include coaching team members, managing productivity, maintaining compliance with health & safety regulations, and deputising for the Team Leader when required. What You'll Need: GCSE level or equivalent education Minimum 1 year supervisory experience (warehousing/production) Experience in fast-paced, deadline-driven environments Strong communication and problem-solving skills Ability to work with heavy loads and meet tight deadlines Right to work in the UK Preferred: Forklift license, food safety certification, dangerous goods handling awareness Ready to Take Off? Apply today and become part of the gategroup family! All successful candidates will undergo CRC screening and 5-year history verification.
Jan 21, 2026
Full time
Flow Coordinator - Join Our Dynamic Team at gategroup! Location: West Drayton Salary: 13.74/hour + overtime at 1.25x Full-Time Are you a natural communicator with a can-do attitude? We're looking for a Flow Coordinator to join our fast-paced airline catering operation! What We Offer: Competitive Package: 13.74 per hour with enhanced overtime rates 4 on/2 off shift pattern (06:00-14:00, 14:00-22:00, 22:00-06:00) Free parking, meals & uniform Company sick pay & generous holiday entitlement Can you work in cold area Career Development: Comprehensive in-house training Career progression opportunities Forklift allowance upon certification Pension scheme from day one Employee Wellbeing: Employee Assistance Programme with free counselling Generous refer-a-friend bonuses Exclusive discount platform Cycle to work scheme The Role: You'll oversee operations within your designated area, ensuring quality standards and operational targets are met. Key responsibilities include coaching team members, managing productivity, maintaining compliance with health & safety regulations, and deputising for the Team Leader when required. What You'll Need: GCSE level or equivalent education Minimum 1 year supervisory experience (warehousing/production) Experience in fast-paced, deadline-driven environments Strong communication and problem-solving skills Ability to work with heavy loads and meet tight deadlines Right to work in the UK Preferred: Forklift license, food safety certification, dangerous goods handling awareness Ready to Take Off? Apply today and become part of the gategroup family! All successful candidates will undergo CRC screening and 5-year history verification.
Job Title: Production Manager Location: Buckinghamshire Salary: £50,000 - £55,000 per annum Industry: Manufacturing Our client, a leading manufacturing company in Buckinghamshire, is seeking an experienced Production Manager to take ownership of their production operations. This is a hands on role where you will drive efficiency, maintain high quality standards, and lead a skilled production team. The Role As Production Manager, you will be responsible for planning, coordinating, and overseeing all manufacturing activities. You will manage the production team, optimise processes, and ensure that output meets both quality and delivery targets. Key Responsibilities Lead and manage the production team, fostering a culture of accountability and continuous improvement Plan, schedule, and monitor production activities to meet operational targets Ensure compliance with health, safety, and quality standards Identify and implement process improvements to maximise efficiency Collaborate with management to align production with business objectives Requirements Proven experience as a Production Manager or Manufacturing Manager in a similar environment Strong leadership and people management skills Hands on approach with excellent problem solving abilities Understanding of manufacturing processes, continuous improvement, and quality control For more information about this role please apply, or email Rhys Holdsworth on who will be able to provide more details on the opportunity. Many thanks, Premier Group
Jan 21, 2026
Full time
Job Title: Production Manager Location: Buckinghamshire Salary: £50,000 - £55,000 per annum Industry: Manufacturing Our client, a leading manufacturing company in Buckinghamshire, is seeking an experienced Production Manager to take ownership of their production operations. This is a hands on role where you will drive efficiency, maintain high quality standards, and lead a skilled production team. The Role As Production Manager, you will be responsible for planning, coordinating, and overseeing all manufacturing activities. You will manage the production team, optimise processes, and ensure that output meets both quality and delivery targets. Key Responsibilities Lead and manage the production team, fostering a culture of accountability and continuous improvement Plan, schedule, and monitor production activities to meet operational targets Ensure compliance with health, safety, and quality standards Identify and implement process improvements to maximise efficiency Collaborate with management to align production with business objectives Requirements Proven experience as a Production Manager or Manufacturing Manager in a similar environment Strong leadership and people management skills Hands on approach with excellent problem solving abilities Understanding of manufacturing processes, continuous improvement, and quality control For more information about this role please apply, or email Rhys Holdsworth on who will be able to provide more details on the opportunity. Many thanks, Premier Group
Play a critical role in the timely and accurate processing of payroll Full time continuing opportunity based at our Callaghan Campus 17% super, generous annual, personal, and life leave, wellbeing programs, health and fitness discounts Hybrid role Be challenged and imagine with us For this newly created position, we are seeking an experienced Payroll Officer to join our dynamic team. In this role, you will perform a range of critical roles to ensure the timely and accurate processing of fortnightly payroll for University employees. You will also be responsible for providing advice for a wide variety of queries relating to salary, wages, allowances, leave, taxation, deductions, and enterprise agreement interpretation. In this role you will: Play a pivotal role in the production of the fortnightly payroll for University employees. Process payroll deductions, manual timesheets, and other payroll related variances. Conduct payroll data reporting to ensure accuracy and audit requirements are met. Provide responsive and accurate advice on payroll matters, including interpretation of enterprise agreements and relevant legislation. This continuing position is full time and will be located at the Callaghan Campus (Awabakal and Worimi land). How will you inspire us? You will have: Demonstrated experience in end-to-end payroll processing within a complex organisation. Strong knowledge of payroll related legislation, taxation and enterprise agreements. Proficiency in utilising various technical payroll systems and procedures. Strong problem-solving skills with the ability to resolve complex payroll issues efficiently. What we offer The remuneration for this position is from $93,929 to $103,641 + 17% superannuation and is commensurate with skills and experience. We offer a range of benefits and employment conditions that help you balance your commitments, stay healthy, and work effectively. For information on our employee benefits (such as leave, flexible working, discounts in private health insurance and gym memberships, and salary packaging) please visit here. About our University The University of Newcastle stands as a global leader distinguished by a commitment to equity and excellence. Our vision is to be a world-leading University for our regions and creating a better future for our regions and the globe. Underpinned by this vision are our values of excellence, equity, engagement and sustainability. We provide opportunities for all people regardless of their background and experience, and this philosophy is reflected across all that we do. The University of Newcastle is an equal opportunity employer committed to equity, diversity, and social inclusion. Women and Aboriginal and Torres Strait Islander candidates are particularly encouraged to apply. Your next steps Important information before you apply: Please visit here for a guide on how to apply for a role. If viewing this on a job board other than the University's please click 'Apply' (or equivalent) to reach the University's website, where a copy of the Position Description can be accessed. Please download a copy from the Related Documents section before commencing your application. Due to the nature of this role, the University may require the preferred candidate to undertake further pre-employment checks. Applications for this position will only be accepted from those with Australian residency or a valid work permit. Your application must include: Your resume. A cover letter outlining your motivation to apply for this opportunity. A statement addressing the Essential Criteria listed below (these may differ slightly from the Position Description, please only respond to the below in your application). A degree and subsequent relevant payroll experience; or extensive payroll experience and specialist expertise or a combination of relevant experience and/or education/training in Payroll. Demonstrated proven experience within a high volume computerised payroll environment. Demonstrated ability in problem solving, accuracy and working to deadlines. Highly developed interpersonal, communication, and consultative skills. Please upload your Cover Letter and response to the requested Criteria as one PDF document. This document should not exceed 4 pages (approximately 2,000 words). Our assessment process Typically candidates that progress beyond the shortlist stage can expect to undertake the following (minimum) assessment activities as part of the recruitment process: Interview (an 'in person' interview will be conducted as part of the process) Referee checks Pre-employment checks as appropriate to the role Our University is committed to creating a safe, respectful, and inclusive environment for every member of our community. This commitment is central to our values and our efforts to build a diverse workforce where everyone can thrive. As part of this, and in alignment with the National Higher Education Code to Prevent and Respond to Gender-Based Violence 2025, from 1 January 2026, the University will also consider gender-based violence risk factors as part of our recruitment processes. The completion and return of the University's Gender-based Violence Declaration Form will form part of the pre-employment checks for this position and any offer of employment will be conditional upon review by the University. Our adherence to the Code is about more than compliance-it's about living our values. Together, we can ensure our University remains a place where respect, safety, and inclusion are non-negotiable. Contact Us For specific position enquiries, please contact Michelle Lorello, Acting Senior Manager, Remuneration and Benefits, on or via email Having technical difficulties? Please reach out to us: . Please note, we do not accept email applications. Closing date: Sunday 8th February 2026 at 11.59pm AEDT We are excited to be Looking Ahead with you
Jan 21, 2026
Full time
Play a critical role in the timely and accurate processing of payroll Full time continuing opportunity based at our Callaghan Campus 17% super, generous annual, personal, and life leave, wellbeing programs, health and fitness discounts Hybrid role Be challenged and imagine with us For this newly created position, we are seeking an experienced Payroll Officer to join our dynamic team. In this role, you will perform a range of critical roles to ensure the timely and accurate processing of fortnightly payroll for University employees. You will also be responsible for providing advice for a wide variety of queries relating to salary, wages, allowances, leave, taxation, deductions, and enterprise agreement interpretation. In this role you will: Play a pivotal role in the production of the fortnightly payroll for University employees. Process payroll deductions, manual timesheets, and other payroll related variances. Conduct payroll data reporting to ensure accuracy and audit requirements are met. Provide responsive and accurate advice on payroll matters, including interpretation of enterprise agreements and relevant legislation. This continuing position is full time and will be located at the Callaghan Campus (Awabakal and Worimi land). How will you inspire us? You will have: Demonstrated experience in end-to-end payroll processing within a complex organisation. Strong knowledge of payroll related legislation, taxation and enterprise agreements. Proficiency in utilising various technical payroll systems and procedures. Strong problem-solving skills with the ability to resolve complex payroll issues efficiently. What we offer The remuneration for this position is from $93,929 to $103,641 + 17% superannuation and is commensurate with skills and experience. We offer a range of benefits and employment conditions that help you balance your commitments, stay healthy, and work effectively. For information on our employee benefits (such as leave, flexible working, discounts in private health insurance and gym memberships, and salary packaging) please visit here. About our University The University of Newcastle stands as a global leader distinguished by a commitment to equity and excellence. Our vision is to be a world-leading University for our regions and creating a better future for our regions and the globe. Underpinned by this vision are our values of excellence, equity, engagement and sustainability. We provide opportunities for all people regardless of their background and experience, and this philosophy is reflected across all that we do. The University of Newcastle is an equal opportunity employer committed to equity, diversity, and social inclusion. Women and Aboriginal and Torres Strait Islander candidates are particularly encouraged to apply. Your next steps Important information before you apply: Please visit here for a guide on how to apply for a role. If viewing this on a job board other than the University's please click 'Apply' (or equivalent) to reach the University's website, where a copy of the Position Description can be accessed. Please download a copy from the Related Documents section before commencing your application. Due to the nature of this role, the University may require the preferred candidate to undertake further pre-employment checks. Applications for this position will only be accepted from those with Australian residency or a valid work permit. Your application must include: Your resume. A cover letter outlining your motivation to apply for this opportunity. A statement addressing the Essential Criteria listed below (these may differ slightly from the Position Description, please only respond to the below in your application). A degree and subsequent relevant payroll experience; or extensive payroll experience and specialist expertise or a combination of relevant experience and/or education/training in Payroll. Demonstrated proven experience within a high volume computerised payroll environment. Demonstrated ability in problem solving, accuracy and working to deadlines. Highly developed interpersonal, communication, and consultative skills. Please upload your Cover Letter and response to the requested Criteria as one PDF document. This document should not exceed 4 pages (approximately 2,000 words). Our assessment process Typically candidates that progress beyond the shortlist stage can expect to undertake the following (minimum) assessment activities as part of the recruitment process: Interview (an 'in person' interview will be conducted as part of the process) Referee checks Pre-employment checks as appropriate to the role Our University is committed to creating a safe, respectful, and inclusive environment for every member of our community. This commitment is central to our values and our efforts to build a diverse workforce where everyone can thrive. As part of this, and in alignment with the National Higher Education Code to Prevent and Respond to Gender-Based Violence 2025, from 1 January 2026, the University will also consider gender-based violence risk factors as part of our recruitment processes. The completion and return of the University's Gender-based Violence Declaration Form will form part of the pre-employment checks for this position and any offer of employment will be conditional upon review by the University. Our adherence to the Code is about more than compliance-it's about living our values. Together, we can ensure our University remains a place where respect, safety, and inclusion are non-negotiable. Contact Us For specific position enquiries, please contact Michelle Lorello, Acting Senior Manager, Remuneration and Benefits, on or via email Having technical difficulties? Please reach out to us: . Please note, we do not accept email applications. Closing date: Sunday 8th February 2026 at 11.59pm AEDT We are excited to be Looking Ahead with you
Select how often (in days) to receive an alert: Amey are a leading provider of full life-cycle engineering, operations and decarbonisation solutions, for transport infrastructure and complex facilities. Working for us, you'll be delivering sustainable infrastructure solutions that enhance life and protect our shared future Our people are driven by a set of strong values, based on safety, insight and collaboration. The Opportunity We have a fantastic opportunity for a permanent Principal Engineer to join our Amey Consulting Structures team in Scotland. We have design hubs in Edinburgh, Glasgow, Motherwell, Perth, and Aberdeen together with additional office space in Dumfries, Ayr, Dundee, Nairn and Huntly. Our Amey Consulting Structures Team are involved in designing some of the largest civil engineering and associated infrastructure projects across Scotland with cumulative values in excess of £1bn. Amey manages both the Southwest and Northeast Trunk Road Network Management contracts, with the Southwest being awarded in 2020 and the Northeast in 2022. These are 8-year contracts, extendable up to 12 years. In addition to these long-term contracts, we also have a diverse portfolio of major roads, bridges and transportation and civil design projects with Transport Scotland, Local Authorities, and established contractors across the country. These long-term contracts provide excellent opportunities for technical, engineering, and professional design staff at all stages of their careers to be involved in some of the most exciting and challenging engineering projects associated with Scotland's arterial road network Recent / ongoing projects include: £1.2bn Scotland North East and South West Trunk Road management £20M Lagan Pedestrian and Cycle Bridge £120m Clyde Waterfront & Renfrew Riverside £80m Advanced Manufacturing Innovation District Scotland The role As a Principal Structures Engineer you will be a technical team leader, providing effective support and assistance to your Design Team, and support the Structures Practice in delivering their portfolio of schemes for Clients. Responsibilities include: Technical Leadership: Provide advice, guidance, and supervision to technical teams, operational managers, clients, suppliers. Design Management: Lead the preparation and review of designs, calculations, drawings, and documentation to ensure quality, cost-effectiveness, and timely delivery. Commercial Oversight: Manage project budgets and costs to ensure commercial success. Client and Supplier Liaison: Engage with client and supplier representatives, including presenting proposals. Bid Preparation: Lead and contribute to bid preparation, including technical and commercial offers, with accountability to the bid director. People Management: Assume the role of people manager when required by the business. Sustainable Solutions Development: Assist in developing practical, sustainable solutions for bridges and civil structures at all project stages. Structural Analysis: Undertake and review structural analysis, design, and assessment calculations. Technical Document Management: Manage the production of carbon and cost estimates, 3D models, drawings, reports, and other technical documents. Multi-disciplinary Representation: Represent the structures practice in multi-disciplinary projects and meetings with clients and stakeholders. What you will bring to us: Chartered Civil or Structural Engineer (ICE/IStructE). Bachelor's, Master's, or PhD degree in Civil or Structural Engineering. Comprehensive understanding of CDM and risk assessment, experienced in managing and communicating project hazards and risks, and capable of acting as Principal Designer. Knowledge of relevant codes and standards such as DMRB and Eurocodes. Apply engineering theory to complex situations, adapting concepts for optimal outcomes. Expertise in design and specification processes, with the ability to manage and lead project teams. Excellent oral communication skills, able to present ideas effectively to peers, senior colleagues, clients, and deliver training workshops. Ability to resolve interface clashes and manage discipline-specific interfaces. Strong supervisory and people management skills, capable of managing technical teams across various locations and projects. Extensive experience with highway structures and / or major bridges, with a solid understanding of structural behaviour and analysis. Proficiency in software such as Lusas or Midas is mandatory. What we can offer you: At Amey, we recognise that our biggest asset is our people. That's why when you join us, we offer flexibility, career development, a choice of benefits and support that help you through all life's ups and downs. It's the reason why Investors in People put us among the top 1% of employers. Our dedicated progression framework identifies your career pathway and progress within the organisation, and with dedicated mentoring and support on hand to ensure you hit your career milestones. We're huge advocates for professional development and offer a recognition bonus for those achieving professional qualifications. Work-life Balance - Work-life balance and flexibility are key for our success. We empower our people to make choices that are right for them, with hybrid, part-time and flexible work patterns. And with a network of offices across the UK, we're open to discussing working options that suit you. Health cash plan, 24 GP, support and assistance programmes, wellbeing ambassadors and Wellbeing Wednesday, dental vouchers EDI- At Amey we celebrate our people and all that they are. This is reflected in our Affinity Group networks, providing a community of support and connection, a safe space to share experiences, learn from one another and generate ideas - NeuroDiversity, Armed Forces, Multicultural Network, Pride, Diversability and Parents & Carers. Social Value - You'll get 2 Community Involvement Days each year to volunteer for a charity of your choice and further opportunities to support fundraising initiatives. Plus a range of other great perks and benefits including: Pension - Generous Pension scheme which we will contribute to Choices - Our flexible benefits scheme is tailored by you, including buying additional annual leave, cycle2work scheme, charity giving and gym membership Save with Amey - Our online voucher portal gives you access to thousands of discounts from leading retailers to help you save on shopping, days out, or nights in. Your Career at Amey Consulting At Amey Consulting, we value collective expertise, but also the spark one person can bring. As one of us, you can really be yourself, because your individuality is an asset.You'll be stretched, but always supported. Well recognise your hard work and look after your well-being too.You'll be empowered to play your part and achieve, encouraged to fulfil your own ambition as well as the shared one. Application Guidance Amey is committed to Inclusion and Diversity. We welcome applications from all suitably qualified candidates, regardless of their race, gender, disability, religion/belief, sexual orientation or age. We are also committed to offering applicants with a disability an interview, if they meet the minimum requirements for the role. to discuss any access needs, reasonable adjustments or additional application support that may be required at any point during the recruitment process.
Jan 21, 2026
Full time
Select how often (in days) to receive an alert: Amey are a leading provider of full life-cycle engineering, operations and decarbonisation solutions, for transport infrastructure and complex facilities. Working for us, you'll be delivering sustainable infrastructure solutions that enhance life and protect our shared future Our people are driven by a set of strong values, based on safety, insight and collaboration. The Opportunity We have a fantastic opportunity for a permanent Principal Engineer to join our Amey Consulting Structures team in Scotland. We have design hubs in Edinburgh, Glasgow, Motherwell, Perth, and Aberdeen together with additional office space in Dumfries, Ayr, Dundee, Nairn and Huntly. Our Amey Consulting Structures Team are involved in designing some of the largest civil engineering and associated infrastructure projects across Scotland with cumulative values in excess of £1bn. Amey manages both the Southwest and Northeast Trunk Road Network Management contracts, with the Southwest being awarded in 2020 and the Northeast in 2022. These are 8-year contracts, extendable up to 12 years. In addition to these long-term contracts, we also have a diverse portfolio of major roads, bridges and transportation and civil design projects with Transport Scotland, Local Authorities, and established contractors across the country. These long-term contracts provide excellent opportunities for technical, engineering, and professional design staff at all stages of their careers to be involved in some of the most exciting and challenging engineering projects associated with Scotland's arterial road network Recent / ongoing projects include: £1.2bn Scotland North East and South West Trunk Road management £20M Lagan Pedestrian and Cycle Bridge £120m Clyde Waterfront & Renfrew Riverside £80m Advanced Manufacturing Innovation District Scotland The role As a Principal Structures Engineer you will be a technical team leader, providing effective support and assistance to your Design Team, and support the Structures Practice in delivering their portfolio of schemes for Clients. Responsibilities include: Technical Leadership: Provide advice, guidance, and supervision to technical teams, operational managers, clients, suppliers. Design Management: Lead the preparation and review of designs, calculations, drawings, and documentation to ensure quality, cost-effectiveness, and timely delivery. Commercial Oversight: Manage project budgets and costs to ensure commercial success. Client and Supplier Liaison: Engage with client and supplier representatives, including presenting proposals. Bid Preparation: Lead and contribute to bid preparation, including technical and commercial offers, with accountability to the bid director. People Management: Assume the role of people manager when required by the business. Sustainable Solutions Development: Assist in developing practical, sustainable solutions for bridges and civil structures at all project stages. Structural Analysis: Undertake and review structural analysis, design, and assessment calculations. Technical Document Management: Manage the production of carbon and cost estimates, 3D models, drawings, reports, and other technical documents. Multi-disciplinary Representation: Represent the structures practice in multi-disciplinary projects and meetings with clients and stakeholders. What you will bring to us: Chartered Civil or Structural Engineer (ICE/IStructE). Bachelor's, Master's, or PhD degree in Civil or Structural Engineering. Comprehensive understanding of CDM and risk assessment, experienced in managing and communicating project hazards and risks, and capable of acting as Principal Designer. Knowledge of relevant codes and standards such as DMRB and Eurocodes. Apply engineering theory to complex situations, adapting concepts for optimal outcomes. Expertise in design and specification processes, with the ability to manage and lead project teams. Excellent oral communication skills, able to present ideas effectively to peers, senior colleagues, clients, and deliver training workshops. Ability to resolve interface clashes and manage discipline-specific interfaces. Strong supervisory and people management skills, capable of managing technical teams across various locations and projects. Extensive experience with highway structures and / or major bridges, with a solid understanding of structural behaviour and analysis. Proficiency in software such as Lusas or Midas is mandatory. What we can offer you: At Amey, we recognise that our biggest asset is our people. That's why when you join us, we offer flexibility, career development, a choice of benefits and support that help you through all life's ups and downs. It's the reason why Investors in People put us among the top 1% of employers. Our dedicated progression framework identifies your career pathway and progress within the organisation, and with dedicated mentoring and support on hand to ensure you hit your career milestones. We're huge advocates for professional development and offer a recognition bonus for those achieving professional qualifications. Work-life Balance - Work-life balance and flexibility are key for our success. We empower our people to make choices that are right for them, with hybrid, part-time and flexible work patterns. And with a network of offices across the UK, we're open to discussing working options that suit you. Health cash plan, 24 GP, support and assistance programmes, wellbeing ambassadors and Wellbeing Wednesday, dental vouchers EDI- At Amey we celebrate our people and all that they are. This is reflected in our Affinity Group networks, providing a community of support and connection, a safe space to share experiences, learn from one another and generate ideas - NeuroDiversity, Armed Forces, Multicultural Network, Pride, Diversability and Parents & Carers. Social Value - You'll get 2 Community Involvement Days each year to volunteer for a charity of your choice and further opportunities to support fundraising initiatives. Plus a range of other great perks and benefits including: Pension - Generous Pension scheme which we will contribute to Choices - Our flexible benefits scheme is tailored by you, including buying additional annual leave, cycle2work scheme, charity giving and gym membership Save with Amey - Our online voucher portal gives you access to thousands of discounts from leading retailers to help you save on shopping, days out, or nights in. Your Career at Amey Consulting At Amey Consulting, we value collective expertise, but also the spark one person can bring. As one of us, you can really be yourself, because your individuality is an asset.You'll be stretched, but always supported. Well recognise your hard work and look after your well-being too.You'll be empowered to play your part and achieve, encouraged to fulfil your own ambition as well as the shared one. Application Guidance Amey is committed to Inclusion and Diversity. We welcome applications from all suitably qualified candidates, regardless of their race, gender, disability, religion/belief, sexual orientation or age. We are also committed to offering applicants with a disability an interview, if they meet the minimum requirements for the role. to discuss any access needs, reasonable adjustments or additional application support that may be required at any point during the recruitment process.
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 21, 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.
Portfolio Procurement has been engaged by our leading Cambridgeshire based client to recruit for a Senior Buyer. The Role: Work with the Purchasing Team Leader to define and implement purchasing strategy. Work with key stakeholders to define and deploy supply chain strategy for new product developments that achieve the business' delivery, quality, and cost targets. Identify, select, and approve suppliers that meet the short, medium, and long-term needs of the business, considering the total cost of ownership over the entire product life. Negotiate and agree contracts for outsourced projects for accessories. Work with NPI to co-ordinate and set-up new suppliers. Coach and consult with Purchasing team to ensure best practices are maintained. Day to Day duties Supply chain strategy definition and deployment for new products Supplier identification, selection, and approval in line with agreed strategy Ensure designs are produced that correspond with production capability Work to negotiate / establish appropriate contracts Work with Quality and NPI to prepare suppliers for volume production Contract negotiation Cost reduction / price negotiation Stock ordering / lean inventory management Purchase order processing Ensuring materials are delivered in time to support customer demand Driving continuous improvement through our international supply base Identifying and assessing new sources where applicable to help drive the company's cost reduction and quality improvement targets Supporting new product introduction activity; ensuring that the relevant process controls are implemented to ensure the delivery of a quality product Supply chain development in consideration of the total cost of acquisition Identifying areas of manufacturing weakness and ensure corrective actions are effectively implemented Commodity market movement analysis Assessment and management of component obsolescence Maintaining an understanding of suppliers' financial health and mitigation of risk as appropriate Skills and Experience Level 4 CIPs Advanced Diploma in Procurement and Supply. Extensive Supply Chain experience within the Electronics/Telecommunications Industries, including the management of complex global Supplier/Customer relationships. Experience of offshore Contract Manufacturing Management. Experience of product development from concept to volume manufacture Credibility to influence at senior level - with both internal and external stakeholders. Priority and time management - ability to act decisively under pressure 50063DHR2 INDPRO
Jan 21, 2026
Full time
Portfolio Procurement has been engaged by our leading Cambridgeshire based client to recruit for a Senior Buyer. The Role: Work with the Purchasing Team Leader to define and implement purchasing strategy. Work with key stakeholders to define and deploy supply chain strategy for new product developments that achieve the business' delivery, quality, and cost targets. Identify, select, and approve suppliers that meet the short, medium, and long-term needs of the business, considering the total cost of ownership over the entire product life. Negotiate and agree contracts for outsourced projects for accessories. Work with NPI to co-ordinate and set-up new suppliers. Coach and consult with Purchasing team to ensure best practices are maintained. Day to Day duties Supply chain strategy definition and deployment for new products Supplier identification, selection, and approval in line with agreed strategy Ensure designs are produced that correspond with production capability Work to negotiate / establish appropriate contracts Work with Quality and NPI to prepare suppliers for volume production Contract negotiation Cost reduction / price negotiation Stock ordering / lean inventory management Purchase order processing Ensuring materials are delivered in time to support customer demand Driving continuous improvement through our international supply base Identifying and assessing new sources where applicable to help drive the company's cost reduction and quality improvement targets Supporting new product introduction activity; ensuring that the relevant process controls are implemented to ensure the delivery of a quality product Supply chain development in consideration of the total cost of acquisition Identifying areas of manufacturing weakness and ensure corrective actions are effectively implemented Commodity market movement analysis Assessment and management of component obsolescence Maintaining an understanding of suppliers' financial health and mitigation of risk as appropriate Skills and Experience Level 4 CIPs Advanced Diploma in Procurement and Supply. Extensive Supply Chain experience within the Electronics/Telecommunications Industries, including the management of complex global Supplier/Customer relationships. Experience of offshore Contract Manufacturing Management. Experience of product development from concept to volume manufacture Credibility to influence at senior level - with both internal and external stakeholders. Priority and time management - ability to act decisively under pressure 50063DHR2 INDPRO
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 21, 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 21, 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.
Test Engineer in Bristol Are you a Test Engineer looking for a new opportunity? Are you looking to develop your career within a profitable and highly successful business? Then get in touch! Our client is looking for a highly motivated and proactive Test Engineer to work within a thriving engineering company The Company: With the company's success continuing to grow steadily, they are looking at expanding the work force on site in order to maintain production levels. They are a market leader within an industrial manufacturing sector and are looking forward to another successful year within this marketplace. The business has shown consistent growth and is constantly developing new systems to maintain their competitive advantage in existing markets. The successful Test Engineer will receive support and development which will provide you with an excellent opportunity to further yourself and progress your career within a continually expanding business. The Role: Deliver a fully functional tested product, strictly following the test procedures Take ownership for the product allocated to you and proactively seek resolution of any issues Ensure test procedures are strictly and efficiently adhered to and that all documentation is fully completed, accurately supports test results, and signed off Consistently deliver against target times Actively support test time reduction through Continuous Improvement principles Drive improved product quality through data capture (FRACAS), ensuring faults are accurately reported and provide adequate detail to support analysis and effective corrective action Proactively support the Test Team Leader to achieve on time delivery against manufacturing plan Support initiatives to improve quality, Health & Safety, build / test cleanliness and 5S within the test department and associated areas Support customer pre acceptance visits Actively promote 5S principles within the test department May be required from time to time to visit customers sites to support install /commissioning of systems About you : Essential unless otherwise stated: Time served Electrical o Mechanical apprenticeship or City and Guilds part 3, or qualified to HND, HNC, or BTech level 3 (electrical) The ability to strictly follow test procedures and accurately report test results against established standards Capable of accurate and speedy diagnosis of faults to component level Understands quality and Health and Safety implications of test procedures Able to investigate and analyse problems and suggest solutions IT literate A self motivated team player; able to operate with the minimum of supervision and communicate clearly with employees at all levels Demonstrates enthusiasm, pace and energy High degree of customer focus To hear more about the opportunity or discuss your career calls, please send your CV or call me. Candidates must be eligible to live and work in the UK to apply for the position
Jan 21, 2026
Full time
Test Engineer in Bristol Are you a Test Engineer looking for a new opportunity? Are you looking to develop your career within a profitable and highly successful business? Then get in touch! Our client is looking for a highly motivated and proactive Test Engineer to work within a thriving engineering company The Company: With the company's success continuing to grow steadily, they are looking at expanding the work force on site in order to maintain production levels. They are a market leader within an industrial manufacturing sector and are looking forward to another successful year within this marketplace. The business has shown consistent growth and is constantly developing new systems to maintain their competitive advantage in existing markets. The successful Test Engineer will receive support and development which will provide you with an excellent opportunity to further yourself and progress your career within a continually expanding business. The Role: Deliver a fully functional tested product, strictly following the test procedures Take ownership for the product allocated to you and proactively seek resolution of any issues Ensure test procedures are strictly and efficiently adhered to and that all documentation is fully completed, accurately supports test results, and signed off Consistently deliver against target times Actively support test time reduction through Continuous Improvement principles Drive improved product quality through data capture (FRACAS), ensuring faults are accurately reported and provide adequate detail to support analysis and effective corrective action Proactively support the Test Team Leader to achieve on time delivery against manufacturing plan Support initiatives to improve quality, Health & Safety, build / test cleanliness and 5S within the test department and associated areas Support customer pre acceptance visits Actively promote 5S principles within the test department May be required from time to time to visit customers sites to support install /commissioning of systems About you : Essential unless otherwise stated: Time served Electrical o Mechanical apprenticeship or City and Guilds part 3, or qualified to HND, HNC, or BTech level 3 (electrical) The ability to strictly follow test procedures and accurately report test results against established standards Capable of accurate and speedy diagnosis of faults to component level Understands quality and Health and Safety implications of test procedures Able to investigate and analyse problems and suggest solutions IT literate A self motivated team player; able to operate with the minimum of supervision and communicate clearly with employees at all levels Demonstrates enthusiasm, pace and energy High degree of customer focus To hear more about the opportunity or discuss your career calls, please send your CV or call me. Candidates must be eligible to live and work in the UK to apply for the position
An excellent opportunity for an experienced Production Manager to join a well-established company! Job Type: Full-Time - Permanent. Salary: Up To £48,000 Per Annum, Depending on Experience. Location: Glasgow G4. Schedule: Working hours: 8:00am - 4:30pm, Monday to Friday (occasional flexibility required). About The Role: The company is seeking an experienced Production Manager with a strong signage background to lead their factory operations across signage and joinery. This is a senior, hands-on role responsible for managing day-to-day production, coordinating workloads, and ensuring consistently high standards of quality, efficiency, and health & safety. This position is best suited to a Production Manager who has worked within the signage industry and understands the demands of sign manufacturing, materials, workflows, and installation requirements. You will play a key role in planning production schedules, managing resources, and driving continuous improvement across the factory. For the right candidate, they are pleased to offer a UK relocation package to support a smooth transition. Key Responsibilities: Production & Workflow Manage the day-to-day operations of the signage and joinery workshops, ensuring smooth workflow and clear communication between teams. Plan, organise, and monitor production schedules to ensure jobs are delivered on time and to specification. Oversee job efficiency, ensuring work progresses through production in a timely and cost-effective manner. Monitor labour hours per job, investigate overruns, and implement improvements to planning and productivity. Collate jobs ready for dispatch, ensuring all components are complete, labelled, packaged correctly, and prepared for delivery. Stock, Materials & Wastage Conduct and record accurate monthly stock takes, investigate discrepancies, and proactively communicate low stock levels. Monitor material usage and maintain a detailed wastage log. Implement practical strategies to reduce waste across signage and joinery production. Quality Control Maintain high quality standards by inspecting work throughout production. Address defects promptly and ensure corrective actions are implemented. Uphold consistent quality across all signage and joinery outputs. Health, Safety & Compliance Oversee health and safety across the factory, including PPE checks, first aid supplies, accident reporting, and regular toolbox talks. Deliver machine safety inductions and ensure all operatives are trained and compliant before equipment use. Carry out full factory inductions for new starters once onboarding is complete. Ensure compliance with internal policies and external regulations, supporting audits and inspections where required. Machinery & Maintenance Oversee planned maintenance of all machinery using weekly and monthly planners. Ensure machinery is kept clean, safe, and fully operational at all times. Leadership & Development Supervise, support, and motivate factory staff, fostering a positive and productive working environment. Identify training needs and support ongoing development of production team members. Track individual and team performance, providing regular feedback and conducting performance reviews. Collaboration Work closely with design, sales, and project management teams to align production output with client expectations and project timelines. Coordinate with the Senior Sales Administrator to forecast and programme future workload. Candidate Requirements: Proven experience as a Production Manager or Senior Supervisor within the signage industry (essential). Strong understanding of signage manufacturing processes, materials, machinery, and installation requirements. Experience managing workshop teams in a fast-paced, deadline-driven environment. Solid knowledge of stock control, quality assurance, and health & safety in a factory setting. Ability to interpret technical drawings and specifications. Confident using production planning tools and software (Excel, ERP systems). Strong leadership, organisational, and problem-solving skills. Hands-on, practical approach with a focus on continuous improvement. Additional Info: UK relocation package available for the right candidate. Full UK driving licence required, company car or van provided for site visits. Company Benefits: Casual dress Company events Company pension Cycle to work scheme Employee discount Free parking On-site parking Half-Day Holiday for your Birthday If you feel that you have the relative skills/attributes to fulfil this role then please apply now for immediate consideration. The employer fully supports Equality in Employment. All employment is decided based on qualifications, merit and business need.
Jan 21, 2026
Full time
An excellent opportunity for an experienced Production Manager to join a well-established company! Job Type: Full-Time - Permanent. Salary: Up To £48,000 Per Annum, Depending on Experience. Location: Glasgow G4. Schedule: Working hours: 8:00am - 4:30pm, Monday to Friday (occasional flexibility required). About The Role: The company is seeking an experienced Production Manager with a strong signage background to lead their factory operations across signage and joinery. This is a senior, hands-on role responsible for managing day-to-day production, coordinating workloads, and ensuring consistently high standards of quality, efficiency, and health & safety. This position is best suited to a Production Manager who has worked within the signage industry and understands the demands of sign manufacturing, materials, workflows, and installation requirements. You will play a key role in planning production schedules, managing resources, and driving continuous improvement across the factory. For the right candidate, they are pleased to offer a UK relocation package to support a smooth transition. Key Responsibilities: Production & Workflow Manage the day-to-day operations of the signage and joinery workshops, ensuring smooth workflow and clear communication between teams. Plan, organise, and monitor production schedules to ensure jobs are delivered on time and to specification. Oversee job efficiency, ensuring work progresses through production in a timely and cost-effective manner. Monitor labour hours per job, investigate overruns, and implement improvements to planning and productivity. Collate jobs ready for dispatch, ensuring all components are complete, labelled, packaged correctly, and prepared for delivery. Stock, Materials & Wastage Conduct and record accurate monthly stock takes, investigate discrepancies, and proactively communicate low stock levels. Monitor material usage and maintain a detailed wastage log. Implement practical strategies to reduce waste across signage and joinery production. Quality Control Maintain high quality standards by inspecting work throughout production. Address defects promptly and ensure corrective actions are implemented. Uphold consistent quality across all signage and joinery outputs. Health, Safety & Compliance Oversee health and safety across the factory, including PPE checks, first aid supplies, accident reporting, and regular toolbox talks. Deliver machine safety inductions and ensure all operatives are trained and compliant before equipment use. Carry out full factory inductions for new starters once onboarding is complete. Ensure compliance with internal policies and external regulations, supporting audits and inspections where required. Machinery & Maintenance Oversee planned maintenance of all machinery using weekly and monthly planners. Ensure machinery is kept clean, safe, and fully operational at all times. Leadership & Development Supervise, support, and motivate factory staff, fostering a positive and productive working environment. Identify training needs and support ongoing development of production team members. Track individual and team performance, providing regular feedback and conducting performance reviews. Collaboration Work closely with design, sales, and project management teams to align production output with client expectations and project timelines. Coordinate with the Senior Sales Administrator to forecast and programme future workload. Candidate Requirements: Proven experience as a Production Manager or Senior Supervisor within the signage industry (essential). Strong understanding of signage manufacturing processes, materials, machinery, and installation requirements. Experience managing workshop teams in a fast-paced, deadline-driven environment. Solid knowledge of stock control, quality assurance, and health & safety in a factory setting. Ability to interpret technical drawings and specifications. Confident using production planning tools and software (Excel, ERP systems). Strong leadership, organisational, and problem-solving skills. Hands-on, practical approach with a focus on continuous improvement. Additional Info: UK relocation package available for the right candidate. Full UK driving licence required, company car or van provided for site visits. Company Benefits: Casual dress Company events Company pension Cycle to work scheme Employee discount Free parking On-site parking Half-Day Holiday for your Birthday If you feel that you have the relative skills/attributes to fulfil this role then please apply now for immediate consideration. The employer fully supports Equality in Employment. All employment is decided based on qualifications, merit and business need.
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 21, 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.
This is an exciting opportunity for a senior food professional to take ownership of the quality and NPD function of an established and innovative food business. You will be responsible for bringing new products to market overseeing the whole process from concept through to launch. You will also be responsible for ensuring the highest level of food safety standards. Head of Food responsibilities Managing existing 3rd party manufacturers Sit on the senior leadership team and be the representative of all things food across the business Monitoring and maintaining the technical compliance of ingredients Working with existing technical and factory teams to take NPD from sample through to production run Pushing product quality and shelf life through both ingredients and manufacturing processes Maintaining relationships with key customers and suppliers, through regular communication and development activities ensuring customer requirements are fully met. Ensure our existing products are the highest quality and constantly improving Managing customer complaints and feedback and taking relevant steps to resolve issues. Managing and developing the food team. Product Development Developing the next generation of innovation ensuring our client remains one of the most innovative food companies in the UK. Improving taste, texture and refreshing existing products Researching international markets and understanding different consumer tastes and trends and developing new concepts accordingly. Managing multiple NPD projects from concept through to launch. To be successful A high level of understanding of international food trends and of customer expectations. Understanding of what's hot and what's going to be extremely popular with customers comes naturally to you. Ideally you will come from a technical and NPD background with extensive experience in the food industry. Excellent communication and influencing skills to build relationships with key customers and stakeholders. Highly innovative with a passion for food Highly commercial Excellent project management skills with the ability to manage multiple projects at the same time. The agility to work in a fast paced and dynamic start up environment
Jan 21, 2026
Full time
This is an exciting opportunity for a senior food professional to take ownership of the quality and NPD function of an established and innovative food business. You will be responsible for bringing new products to market overseeing the whole process from concept through to launch. You will also be responsible for ensuring the highest level of food safety standards. Head of Food responsibilities Managing existing 3rd party manufacturers Sit on the senior leadership team and be the representative of all things food across the business Monitoring and maintaining the technical compliance of ingredients Working with existing technical and factory teams to take NPD from sample through to production run Pushing product quality and shelf life through both ingredients and manufacturing processes Maintaining relationships with key customers and suppliers, through regular communication and development activities ensuring customer requirements are fully met. Ensure our existing products are the highest quality and constantly improving Managing customer complaints and feedback and taking relevant steps to resolve issues. Managing and developing the food team. Product Development Developing the next generation of innovation ensuring our client remains one of the most innovative food companies in the UK. Improving taste, texture and refreshing existing products Researching international markets and understanding different consumer tastes and trends and developing new concepts accordingly. Managing multiple NPD projects from concept through to launch. To be successful A high level of understanding of international food trends and of customer expectations. Understanding of what's hot and what's going to be extremely popular with customers comes naturally to you. Ideally you will come from a technical and NPD background with extensive experience in the food industry. Excellent communication and influencing skills to build relationships with key customers and stakeholders. Highly innovative with a passion for food Highly commercial Excellent project management skills with the ability to manage multiple projects at the same time. The agility to work in a fast paced and dynamic start up environment
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 21, 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 21, 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 21, 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 21, 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 21, 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 21, 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.
