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EdEx Education Recruitment
Secondary Teacher + Head of Year (TLR1B)
EdEx Education Recruitment
Secondary Teacher + Head of Year (TLR1B) An 'Outstanding' school in the heart of Hillingdon are looking for a Secondary Teacher + Head of Year (TLR1B) for a September 2026 start. This is a full time, and permanent contract issued via the School. Please note - This Secondary School are completely open to your teaching specialism. The focus is that you must be eager to make a difference daily & have a genuine passion towards Pastoral. This is the great stepping stone into an Assistant Head Teacher position. Why would you want to work at this remarkable School? Head Teacher is a natural leader, works with staff, not against them. KS3-5 Moving away from the standard "death by PP" (Good questioning & modelling is a must) Abundance of additional support for pupils (to benefit staff) Huge TLR opportunities Good work life balance! Modern marking policy (you don't take any work home) Can leave work at 3:30pm! & much much more! If you would like to know more about this Secondary Teacher + Head of Year (TLR1B) opportunity, please read further details below! JOB DESCRIPTION Secondary Teacher + Head of Year (TLR1B) Minimal teaching timetable Year Group pending appoint candidates strength Pastoral Support Attendance and Welfare Behaviour Parent Liaison Inspiring and motivating the younger generation September 2026 start - Full Time & Permanent MPS1 - UPS3 + TLR1B (£11,500) Located in the Borough of Hillingdon PERSON SPECIFICATION Strong academics across the board - Degree, A Levels and GCSEs Interest in making a difference daily Must be able to coach & mentor pupils to success SCHOOL DETAILS Graded 'Outstanding' in latest Ofsted report Impressive Progress 8 results Modern & creative facilities throughout Impeccable behavior throughout the School Plenty of additional support in class from graduate Teaching Assistants Good Tube Links - Hillingdon If you are interested in this Secondary Teacher + Head of Year (TLR1B) opportunity , interviews can be arranged immediately Apply for this Secondary Teacher + Head of Year (TLR1B) opportunity by sending your CV to Ryan at EdEx. You will be contacted by your personal consultant (if shortlisted)! Secondary Teacher + Head of Year (TLR1B) INDT
Jan 28, 2026
Full time
Secondary Teacher + Head of Year (TLR1B) An 'Outstanding' school in the heart of Hillingdon are looking for a Secondary Teacher + Head of Year (TLR1B) for a September 2026 start. This is a full time, and permanent contract issued via the School. Please note - This Secondary School are completely open to your teaching specialism. The focus is that you must be eager to make a difference daily & have a genuine passion towards Pastoral. This is the great stepping stone into an Assistant Head Teacher position. Why would you want to work at this remarkable School? Head Teacher is a natural leader, works with staff, not against them. KS3-5 Moving away from the standard "death by PP" (Good questioning & modelling is a must) Abundance of additional support for pupils (to benefit staff) Huge TLR opportunities Good work life balance! Modern marking policy (you don't take any work home) Can leave work at 3:30pm! & much much more! If you would like to know more about this Secondary Teacher + Head of Year (TLR1B) opportunity, please read further details below! JOB DESCRIPTION Secondary Teacher + Head of Year (TLR1B) Minimal teaching timetable Year Group pending appoint candidates strength Pastoral Support Attendance and Welfare Behaviour Parent Liaison Inspiring and motivating the younger generation September 2026 start - Full Time & Permanent MPS1 - UPS3 + TLR1B (£11,500) Located in the Borough of Hillingdon PERSON SPECIFICATION Strong academics across the board - Degree, A Levels and GCSEs Interest in making a difference daily Must be able to coach & mentor pupils to success SCHOOL DETAILS Graded 'Outstanding' in latest Ofsted report Impressive Progress 8 results Modern & creative facilities throughout Impeccable behavior throughout the School Plenty of additional support in class from graduate Teaching Assistants Good Tube Links - Hillingdon If you are interested in this Secondary Teacher + Head of Year (TLR1B) opportunity , interviews can be arranged immediately Apply for this Secondary Teacher + Head of Year (TLR1B) opportunity by sending your CV to Ryan at EdEx. You will be contacted by your personal consultant (if shortlisted)! Secondary Teacher + Head of Year (TLR1B) INDT
Director , Cybersecurity , Cyber Transformation & Strategy TC UKI
Ernst & Young Advisory Services Sdn Bhd City, London
Director , Cybersecurity , Cyber Transformation & Strategy TC UKI Location: London Other locations: Primary Location Only Date: 26 Jan 2026 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Director - Cybersecurity Transformation Job Title: Director - Cybersecurity Transformation About EY: At EY, we are committed to building a better working world. Our Cybersecurity Consulting Practice is rapidly expanding, and we are investing in our capabilities to meet the increasing demand for cybersecurity solutions. Join us and be part of a global team of over 13,000 professionals dedicated to delivering cutting edge security transformation programs and services. The Opportunity: As a Director in Cybersecurity, you will bring diverse perspectives and deep subject matter expertise to deliver high quality insights and outcomes for our clients. You will play a strategic leadership role in shaping and overseeing complex cybersecurity engagements, strengthening senior client relationships, and guiding teams to develop innovative, practical solutions that address the evolving security challenges organisations face. Key Responsibilities: Managing a portfolio of Security Transformation engagements with our clients, responsible for day to day running of the cybersecurity engagements including meeting quality, time and budget targets Leverage deep market and sector knowledge to identify and develop new opportunities for our Cybersecurity Strategy and Transformation offering. Use established industry relationships and external networks to originate leads, shape demand, and position the firm with key decision makers. Partner with senior practice and market leaders to pursue high value opportunities, develop compelling proposals, and create targeted marketing materials that reflect current market needs and trends across cybersecurity. Provide visible leadership in developing a high performing team by actively sharing expertise, offering structured coaching and mentorship, and setting a strong personal example. Foster a culture of continuous learning, accountability, and professional growth, ensuring team members are equipped to excel and deliver at pace. Develop impactful cybersecurity thought leadership and market ready materials aligned to client needs and market trends and clearly articulate the value of EY's Cyber Security offering, helping drive market demand. Establish and maintain high value relationships with senior client leaders, using these connections to identify strategic opportunities, steer delivery outcomes, and strengthen the firm's market position. Skills and Attributes for Success: Exceptional communicator, able to convey complex concepts with clarity and influence senior audiences across both business and technical cybersecurity domains. Strategic thinker and problem solver, with the ability to diagnose complex client cyber challenges, shape insight led cybersecurity solutions, and secure executive buy in. Articulate the strategic value of cybersecurity within an organisation and shape cyber strategies that directly support and enable enterprise priorities. Proven people leader, experienced in developing high performing teams through coaching, mentoring, and modelling collaborative, inclusive leadership behaviours. Commercially driven, consistently delivering high quality outcomes while managing risks, ensuring operational excellence, and protecting client and firm reputation. Experienced programme and engagement leader, adept at structuring and managing large, complex cybersecurity assignments that align to client priorities and deliver measurable value. Pragmatic, client centric approach, able to navigate ambiguity, anticipate issues, and guide clients through strategic decision making with confidence and assurance. Strong market access and trusted relationships, leveraging established sector networks and senior level contacts to originate opportunities, shape market conversations, and strengthen the firm's position with key decision makers. To Qualify for the Role, You Must Have: Proven experience in defining and delivering enterprise level cybersecurity strategies, clearly articulating the organisational value of cybersecurity to senior stakeholders. A strong track record in developing cybersecurity investment cases, including business justification, prioritisation, and alignment to organisational goals. Hands on experience designing and implementing cybersecurity target operating models, covering governance, processes, capabilities, and organisational structure. Robust knowledge of key cybersecurity regulations and frameworks, including NIST CSF, NIS/NIS2 and other relevant sector standards, and the ability to embed these into strategy and design activities. Ideally, You'll Also Have: Security related qualifications such as CISSP, CISM, CISMP, CIISEC. Experience operating within an NCSC Assured Cyber Consultancy. Sector experience in one or more of the following: Government & Public Sector, Energy & Utilities, Retail and Consumer Products, Life Sciences, Telecoms, Media and Technology, or Transport. Professional services experience with market leading organisations in delivering cybersecurity solutions. Please note: The successful candidate must undergo and pass checks in line with SC (Security Check) clearance standards after joining EY. These checks may include, but are not limited to, verification of identity, right to work in the UK, employment history, proof of address may be required and unspent criminal convictions. Candidates must be a UK national or have been a resident in the UK for a minimum of five years and ensure that they have not spent more than six months outside the UK. Join Us: At EY, you'll have the chance to build a meaningful and fulfilling career, supported by an inclusive culture and cutting edge technology. Together, we can create a better working world for all. What we look for We're interested in people with integrity who can collaborate with people from a diverse range of backgrounds and crucially a growth mindset. What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning:You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you:We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership:We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture:You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. Apply Now EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
Jan 28, 2026
Full time
Director , Cybersecurity , Cyber Transformation & Strategy TC UKI Location: London Other locations: Primary Location Only Date: 26 Jan 2026 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Director - Cybersecurity Transformation Job Title: Director - Cybersecurity Transformation About EY: At EY, we are committed to building a better working world. Our Cybersecurity Consulting Practice is rapidly expanding, and we are investing in our capabilities to meet the increasing demand for cybersecurity solutions. Join us and be part of a global team of over 13,000 professionals dedicated to delivering cutting edge security transformation programs and services. The Opportunity: As a Director in Cybersecurity, you will bring diverse perspectives and deep subject matter expertise to deliver high quality insights and outcomes for our clients. You will play a strategic leadership role in shaping and overseeing complex cybersecurity engagements, strengthening senior client relationships, and guiding teams to develop innovative, practical solutions that address the evolving security challenges organisations face. Key Responsibilities: Managing a portfolio of Security Transformation engagements with our clients, responsible for day to day running of the cybersecurity engagements including meeting quality, time and budget targets Leverage deep market and sector knowledge to identify and develop new opportunities for our Cybersecurity Strategy and Transformation offering. Use established industry relationships and external networks to originate leads, shape demand, and position the firm with key decision makers. Partner with senior practice and market leaders to pursue high value opportunities, develop compelling proposals, and create targeted marketing materials that reflect current market needs and trends across cybersecurity. Provide visible leadership in developing a high performing team by actively sharing expertise, offering structured coaching and mentorship, and setting a strong personal example. Foster a culture of continuous learning, accountability, and professional growth, ensuring team members are equipped to excel and deliver at pace. Develop impactful cybersecurity thought leadership and market ready materials aligned to client needs and market trends and clearly articulate the value of EY's Cyber Security offering, helping drive market demand. Establish and maintain high value relationships with senior client leaders, using these connections to identify strategic opportunities, steer delivery outcomes, and strengthen the firm's market position. Skills and Attributes for Success: Exceptional communicator, able to convey complex concepts with clarity and influence senior audiences across both business and technical cybersecurity domains. Strategic thinker and problem solver, with the ability to diagnose complex client cyber challenges, shape insight led cybersecurity solutions, and secure executive buy in. Articulate the strategic value of cybersecurity within an organisation and shape cyber strategies that directly support and enable enterprise priorities. Proven people leader, experienced in developing high performing teams through coaching, mentoring, and modelling collaborative, inclusive leadership behaviours. Commercially driven, consistently delivering high quality outcomes while managing risks, ensuring operational excellence, and protecting client and firm reputation. Experienced programme and engagement leader, adept at structuring and managing large, complex cybersecurity assignments that align to client priorities and deliver measurable value. Pragmatic, client centric approach, able to navigate ambiguity, anticipate issues, and guide clients through strategic decision making with confidence and assurance. Strong market access and trusted relationships, leveraging established sector networks and senior level contacts to originate opportunities, shape market conversations, and strengthen the firm's position with key decision makers. To Qualify for the Role, You Must Have: Proven experience in defining and delivering enterprise level cybersecurity strategies, clearly articulating the organisational value of cybersecurity to senior stakeholders. A strong track record in developing cybersecurity investment cases, including business justification, prioritisation, and alignment to organisational goals. Hands on experience designing and implementing cybersecurity target operating models, covering governance, processes, capabilities, and organisational structure. Robust knowledge of key cybersecurity regulations and frameworks, including NIST CSF, NIS/NIS2 and other relevant sector standards, and the ability to embed these into strategy and design activities. Ideally, You'll Also Have: Security related qualifications such as CISSP, CISM, CISMP, CIISEC. Experience operating within an NCSC Assured Cyber Consultancy. Sector experience in one or more of the following: Government & Public Sector, Energy & Utilities, Retail and Consumer Products, Life Sciences, Telecoms, Media and Technology, or Transport. Professional services experience with market leading organisations in delivering cybersecurity solutions. Please note: The successful candidate must undergo and pass checks in line with SC (Security Check) clearance standards after joining EY. These checks may include, but are not limited to, verification of identity, right to work in the UK, employment history, proof of address may be required and unspent criminal convictions. Candidates must be a UK national or have been a resident in the UK for a minimum of five years and ensure that they have not spent more than six months outside the UK. Join Us: At EY, you'll have the chance to build a meaningful and fulfilling career, supported by an inclusive culture and cutting edge technology. Together, we can create a better working world for all. What we look for We're interested in people with integrity who can collaborate with people from a diverse range of backgrounds and crucially a growth mindset. What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning:You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you:We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership:We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture:You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. Apply Now EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
Smart10Ltd
Head of Online Trade
Smart10Ltd Hinxworth, Hertfordshire
Head of Online Trade Reports to: Director (with regular Board-level reporting) Location: North Hertfordshire Hybrid working (minimum 3 days per week in the office) Salary: £45,000 £70,000 depending on experience Function: Marketing / Digital / E-commerce The Opportunity This is a senior leadership role responsible for accelerating online revenue and shaping the future of digital trading. You ll take full ownership of how online channels perform from marketing effectiveness to on-site conversion and new channel growth. You ll sit at the centre of digital decision-making, leading internal talent and specialist agency partners while providing commercially focused insight to senior leadership and the Board. What You ll Be Responsible For Digital Revenue Growth Develop and lead the overall online trading roadmap to increase revenue and margin Use data, customer behaviour, and market trends to identify growth opportunities Expand the digital footprint through new platforms, partnerships, and marketplaces Trading & Performance Optimisation Oversee the online trading calendar, ensuring campaigns and promotions drive both sales and profitability Continuously improve conversion rates, basket value, and customer engagement Turn performance insights into actionable trading decisions Digital Marketing Leadership Set the direction for online customer acquisition and retention activity Oversee performance channels including paid media, organic search, affiliates, PR, and owned platforms Ensure marketing activity aligns closely with trading priorities and commercial targets Website & Customer Journey Improvement Take ownership of the end-to-end online customer experience Lead testing programmes to refine user journeys, landing pages, and checkout performance Work closely with optimisation partners to deliver structured testing plans with measurable impact Budget Ownership Manage digital trading and marketing budgets with a strong focus on return on investment Lead forecasting and reforecasting cycles based on performance trends Make informed decisions on where investment will drive the greatest return Agency & Partner Management Lead relationships with external agencies across paid media, SEO, CRO, PR, and affiliate marketing Set clear objectives and performance measures for all partners Ensure agencies work together cohesively rather than in silos Data, Insight & Reporting Champion a data-led approach to decision-making across digital channels Deliver clear, commercially relevant performance updates to senior leadership and Board stakeholders Highlight risks, opportunities, and areas for testing or innovation Team Leadership Lead, mentor, and develop the digital and trading team Create a high-performance culture built around accountability and results Build strong working relationships with commercial, product, technical, and operational teams What You ll Bring Experience & Knowledge Senior-level experience in e-commerce, digital trading, or performance marketing A proven history of growing online revenue in a measurable, sustainable way Strong knowledge of website optimisation, testing methodologies, and digital merchandising Experience managing agency ecosystems and sizeable digital budgets Confidence presenting insights and strategy at senior or board level Demonstrated success leading and developing teams Nice to Have Experience launching new digital sales channels or online marketplaces Background in retail, direct-to-consumer, or fast-paced e-commerce environments Brand development or brand marketing exposure Advanced familiarity with analytics and experimentation tools Personal Style Commercially sharp and target-focused Comfortable balancing big-picture strategy with hands-on delivery Naturally analytical and confident working with performance data Strong communicator who can influence at senior levels Collaborative, proactive, and solutions-oriented Role Details Newly created senior position Hours: Monday to Friday, 9:00am 5:30pm (1 hour lunch) Holiday: 25 days plus Bank Holidays Free on-site parking Rural location not served by public transport access to a car is essential Thank you for your interest in this vacancy, which is being advertised by Smart10 Recruitment Group, who are acting as an employment agency / business. Your application will be considered in competition with others and we will contact you within 3 working days if you have been shortlisted. Smart10 is a multi-award-winning specialist recruitment consultancy focused on the supply of temporary, contract and permanent placements across a select group of business sectors. In order to keep up to date and search for all our active jobs, please visit our website, like us on Facebook and follow us on Instagram or LinkedIn. Please refer to Smart10's Privacy Policy as to how we hold your data.
Jan 28, 2026
Full time
Head of Online Trade Reports to: Director (with regular Board-level reporting) Location: North Hertfordshire Hybrid working (minimum 3 days per week in the office) Salary: £45,000 £70,000 depending on experience Function: Marketing / Digital / E-commerce The Opportunity This is a senior leadership role responsible for accelerating online revenue and shaping the future of digital trading. You ll take full ownership of how online channels perform from marketing effectiveness to on-site conversion and new channel growth. You ll sit at the centre of digital decision-making, leading internal talent and specialist agency partners while providing commercially focused insight to senior leadership and the Board. What You ll Be Responsible For Digital Revenue Growth Develop and lead the overall online trading roadmap to increase revenue and margin Use data, customer behaviour, and market trends to identify growth opportunities Expand the digital footprint through new platforms, partnerships, and marketplaces Trading & Performance Optimisation Oversee the online trading calendar, ensuring campaigns and promotions drive both sales and profitability Continuously improve conversion rates, basket value, and customer engagement Turn performance insights into actionable trading decisions Digital Marketing Leadership Set the direction for online customer acquisition and retention activity Oversee performance channels including paid media, organic search, affiliates, PR, and owned platforms Ensure marketing activity aligns closely with trading priorities and commercial targets Website & Customer Journey Improvement Take ownership of the end-to-end online customer experience Lead testing programmes to refine user journeys, landing pages, and checkout performance Work closely with optimisation partners to deliver structured testing plans with measurable impact Budget Ownership Manage digital trading and marketing budgets with a strong focus on return on investment Lead forecasting and reforecasting cycles based on performance trends Make informed decisions on where investment will drive the greatest return Agency & Partner Management Lead relationships with external agencies across paid media, SEO, CRO, PR, and affiliate marketing Set clear objectives and performance measures for all partners Ensure agencies work together cohesively rather than in silos Data, Insight & Reporting Champion a data-led approach to decision-making across digital channels Deliver clear, commercially relevant performance updates to senior leadership and Board stakeholders Highlight risks, opportunities, and areas for testing or innovation Team Leadership Lead, mentor, and develop the digital and trading team Create a high-performance culture built around accountability and results Build strong working relationships with commercial, product, technical, and operational teams What You ll Bring Experience & Knowledge Senior-level experience in e-commerce, digital trading, or performance marketing A proven history of growing online revenue in a measurable, sustainable way Strong knowledge of website optimisation, testing methodologies, and digital merchandising Experience managing agency ecosystems and sizeable digital budgets Confidence presenting insights and strategy at senior or board level Demonstrated success leading and developing teams Nice to Have Experience launching new digital sales channels or online marketplaces Background in retail, direct-to-consumer, or fast-paced e-commerce environments Brand development or brand marketing exposure Advanced familiarity with analytics and experimentation tools Personal Style Commercially sharp and target-focused Comfortable balancing big-picture strategy with hands-on delivery Naturally analytical and confident working with performance data Strong communicator who can influence at senior levels Collaborative, proactive, and solutions-oriented Role Details Newly created senior position Hours: Monday to Friday, 9:00am 5:30pm (1 hour lunch) Holiday: 25 days plus Bank Holidays Free on-site parking Rural location not served by public transport access to a car is essential Thank you for your interest in this vacancy, which is being advertised by Smart10 Recruitment Group, who are acting as an employment agency / business. Your application will be considered in competition with others and we will contact you within 3 working days if you have been shortlisted. Smart10 is a multi-award-winning specialist recruitment consultancy focused on the supply of temporary, contract and permanent placements across a select group of business sectors. In order to keep up to date and search for all our active jobs, please visit our website, like us on Facebook and follow us on Instagram or LinkedIn. Please refer to Smart10's Privacy Policy as to how we hold your data.
Endoscopy Unit Leader
NHS Wigan, Lancashire
Wrightington Wigan & Leigh Teaching Hospitals NHS Foundation Trust Endoscopy Unit Leader The closing date is 05 February 2026 An exciting opportunity has arisen for a motivated and experienced individual to join the Endoscopy team at Leigh as Unit Leader. The Unit Lead needs to be passionate about delivering quality care, display excellent communication skills and provide exemplary leadership skills. The candidate should be a role model displaying the positive values and behaviours of the organisation. Please note you are required to hold NMC Registration to apply for this role. Candidates are required to present original certificates for qualifications at interview stage. Main duties of the job The post holder will act as a role model to all team members in the delivery of a high standard of evidence based nursing or midwifery care. They will utilise effective management and leadership skills in the operational management of department. They will be responsible for the management of all nursing staff in the area from the selection and recruitment of staff to managing their personal and professional development. They will act as a role model and mentor to staff and students in establishing a positive learning environment where staff can develop to their full potential and work in conjunction with the deputy director of nursing and matron to implement the recommendations of the strategy for nurses and midwives. About us Wrightington, Wigan and Leigh Teaching Hospitals NHS Foundation Trust are the proud providers of acute hospital and community services to the people of the Wigan Borough and surrounding areas. At WWL, we value our staff believing that 'happy staff, makes for happy patients'. We have a recognised track record in staff engagement, and living our values 'the WWL Way'. WWL are committed to placing the patient at the heart of everything we do, and in the provision of safe, effective care that acknowledges and ensures dignity. With this in mind we are seeking to recruit people who share our values and beliefs. At WWL we value the benefits a rich and diverse workforce brings to our community and therefore welcome applications from all sections of society. Job responsibilities Planning and Organisational Duties The post holder will participate in, and influence, care delivery by: The lead the team in providing evidence-based nursing/midwifery care ensuring that care is assessed, planned, implemented and evaluated utilising a patient centred approach to care. Be responsible for reviewing and updating nursing care plans and documentation. To co-ordinate nursing activity in the unit environment and ensuring the smooth operational running of the unit. Responsible for ensuring that there are adequate staffing levels and appropriate skill mix to meet the needs of the unit. Ensure patient care is of a high standard. Facilitate regular meetings with staff in order to encourage the exchange and implementation of new ideas. Responsible for recognising and responding appropriately to situations which require immediate action. Deputise for the matron and participate in senior nurse rota. Ensure performance standards are met in accordance with agreed objectives. Manages effectively the use of allocated resources/funding. To lead the unit in the management of ward environment in order to meet Trust objectives for Risk Management and Health & Safety. Manage own workload autonomously. Ensure that effective communication has been established with all disciplines, patients and relatives. Communicate very sensitive and distressing information to patients and their families. Ability to assess and advise patients in crisis situations and ensure that their needs are met by the whole team. Enables and supports colleagues in developing effective communication skills particularly in difficult situations. Acting a resource of professional knowledge for the multi-disciplinary team, patients and relatives through application of theory in practice. Participate in management of complaints and patient concerns at ward level referring to relevant departments when appropriate. Lead patient and public involvement in the ward area leading to service improvement Person Specification Qualifications First level registered nurse/branch specific or midwife. Evidence of Management Training Evidence of continuing professional development Experience To be able to demonstrate extensive experience at Deputy Ward Manager/unit lead level or equivalent. Experience of working in two different clinical areas. Skills Specialist clinical skills within the appropriate field Ability to manage a multidisciplinary team Proven Teaching ability Ability to prioritise own workload and that of others Ability to work as a role model or mentor Able to create a positive learning environment Ability to motivate and lead a team Ability to discuss/demonstrate research-based practice Ability to use resources effectively. Knowledge Evidence of up to date underpinning theoretical knowledge Demonstrate expert specialist knowledge within chosen clinical field Up to date knowledge of current Nursing and Midwifery practice within the area. Additional Flexibility and adaptability Ability to undertake on call duties Speaks English to an appropriate standard relevant to their role, i.e. with confidence and accuracy, using correct sentence structures and vocabulary, and without hesitation Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Wrightington Wigan & Leigh Teaching Hospitals NHS Foundation Trust
Jan 28, 2026
Full time
Wrightington Wigan & Leigh Teaching Hospitals NHS Foundation Trust Endoscopy Unit Leader The closing date is 05 February 2026 An exciting opportunity has arisen for a motivated and experienced individual to join the Endoscopy team at Leigh as Unit Leader. The Unit Lead needs to be passionate about delivering quality care, display excellent communication skills and provide exemplary leadership skills. The candidate should be a role model displaying the positive values and behaviours of the organisation. Please note you are required to hold NMC Registration to apply for this role. Candidates are required to present original certificates for qualifications at interview stage. Main duties of the job The post holder will act as a role model to all team members in the delivery of a high standard of evidence based nursing or midwifery care. They will utilise effective management and leadership skills in the operational management of department. They will be responsible for the management of all nursing staff in the area from the selection and recruitment of staff to managing their personal and professional development. They will act as a role model and mentor to staff and students in establishing a positive learning environment where staff can develop to their full potential and work in conjunction with the deputy director of nursing and matron to implement the recommendations of the strategy for nurses and midwives. About us Wrightington, Wigan and Leigh Teaching Hospitals NHS Foundation Trust are the proud providers of acute hospital and community services to the people of the Wigan Borough and surrounding areas. At WWL, we value our staff believing that 'happy staff, makes for happy patients'. We have a recognised track record in staff engagement, and living our values 'the WWL Way'. WWL are committed to placing the patient at the heart of everything we do, and in the provision of safe, effective care that acknowledges and ensures dignity. With this in mind we are seeking to recruit people who share our values and beliefs. At WWL we value the benefits a rich and diverse workforce brings to our community and therefore welcome applications from all sections of society. Job responsibilities Planning and Organisational Duties The post holder will participate in, and influence, care delivery by: The lead the team in providing evidence-based nursing/midwifery care ensuring that care is assessed, planned, implemented and evaluated utilising a patient centred approach to care. Be responsible for reviewing and updating nursing care plans and documentation. To co-ordinate nursing activity in the unit environment and ensuring the smooth operational running of the unit. Responsible for ensuring that there are adequate staffing levels and appropriate skill mix to meet the needs of the unit. Ensure patient care is of a high standard. Facilitate regular meetings with staff in order to encourage the exchange and implementation of new ideas. Responsible for recognising and responding appropriately to situations which require immediate action. Deputise for the matron and participate in senior nurse rota. Ensure performance standards are met in accordance with agreed objectives. Manages effectively the use of allocated resources/funding. To lead the unit in the management of ward environment in order to meet Trust objectives for Risk Management and Health & Safety. Manage own workload autonomously. Ensure that effective communication has been established with all disciplines, patients and relatives. Communicate very sensitive and distressing information to patients and their families. Ability to assess and advise patients in crisis situations and ensure that their needs are met by the whole team. Enables and supports colleagues in developing effective communication skills particularly in difficult situations. Acting a resource of professional knowledge for the multi-disciplinary team, patients and relatives through application of theory in practice. Participate in management of complaints and patient concerns at ward level referring to relevant departments when appropriate. Lead patient and public involvement in the ward area leading to service improvement Person Specification Qualifications First level registered nurse/branch specific or midwife. Evidence of Management Training Evidence of continuing professional development Experience To be able to demonstrate extensive experience at Deputy Ward Manager/unit lead level or equivalent. Experience of working in two different clinical areas. Skills Specialist clinical skills within the appropriate field Ability to manage a multidisciplinary team Proven Teaching ability Ability to prioritise own workload and that of others Ability to work as a role model or mentor Able to create a positive learning environment Ability to motivate and lead a team Ability to discuss/demonstrate research-based practice Ability to use resources effectively. Knowledge Evidence of up to date underpinning theoretical knowledge Demonstrate expert specialist knowledge within chosen clinical field Up to date knowledge of current Nursing and Midwifery practice within the area. Additional Flexibility and adaptability Ability to undertake on call duties Speaks English to an appropriate standard relevant to their role, i.e. with confidence and accuracy, using correct sentence structures and vocabulary, and without hesitation Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Wrightington Wigan & Leigh Teaching Hospitals NHS Foundation Trust
Postdoctoral Research Fellow - Generative Biology Institute Generative Biology Institute Oxford ...
Ellison Institute, LLC Oxford, Oxfordshire
Generative Biology Institute GBI is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute will commence operations in a newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose made facility in the Oxford Science Park, currently under construction. Once complete, this state of the art facility will include more than 40,000 m of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Job Summary We are seeking ambitious, creative, and highly skilled Postdoctoral Researchers to join the Generative Biology Institute (GBI). This is your opportunity to be part of cutting edge research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI's exceptional facilities, sustained funding, and collaborative environment. You will design and execute experiments, contribute to high impact publications, and play a key role in the training and mentorship of junior researchers and students. Working at the interface of biology, technology, and engineering, you will help shape GBI's vision to reimagine what's possible in biology. Applications to Research Groups Applications will be reviewed on a rolling basis by the specific research groups you select. On the application page, you will be asked to select up to three (3) research groups you wish to apply to. In your cover letter, please clearly identify the group(s) you are applying to and explain your fit, interest, and relevant experience for each one. Please note that applicants who select more than three groups, or who do not specify their groups of interest, will not be considered. All applications must be submitted exclusively through the EIT job portal. Please do not contact Principal Investigators directly, as direct outreach will not be considered as part of the application process. Due to the volume of applications, the review and decision process may take 3-6 months. Principal Investigators currently recruiting for Postdoctoral Fellows Leopold Parts - The Parts group works to engineer and model mammalian chromosomes. In particular, the group has long term aims to delete, randomize, evolve, and model chromosome scale DNA, all with the aim of informing models of synthetic DNA function; other ideas fitting this broad remit are very welcome. Rongzhen Tian - The Tian group aims to leverage an orthogonal replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to tackle challenges in human health and industry, and iii) generate large scale enzyme datasets for training next generation protein design models. Jérôme Zürcher - The Zürcher group aims to develop methodology to rapidly and scalably write entire genomes of microbes and phages and to leverage these methods to i) genetically isolate organisms, ii) investigate host pathogen interactions, iii) provide a platform for large vector assembly towards Gb scale genome synthesis. Linda van Bijsterveldt - The van Bijsterveldt group aims to develop methods for building and stably transmitting synthetic chromosomes through mitosis and meiosis in mammals and plants. Projects focus on i) creating scalable platforms for constructing entire genomes, ii) transferring chromosomes between different species, and iii) controlling trait inheritance patterns. Kiarash Jamali - The Jamali group focuses on integrating novel, large databases and inductive biases in generative models of biomolecules, seeking to create next generation tools that would enable protein design of new to nature enzymatic reactions, therapeutics, and molecular motors. A particular focus will be on the integration of learned machine learning force fields with generative protein modelling. Fabian Rehm - The Rehm group works to develop and apply new approaches for the continuous evolution of target genes, and the synthesis of large microbial genome stretches. Research will focus on i) evolving complex, multi gene traits within a single experiment, ii) building selective pressures that reward desired behaviours while minimising escape routes, iii) how to borrow principles from natural evolution, such as modularity, gene amplification, or cooperation, to help engineered organisms explore richer evolutionary pathways. Martin Spinck - The Spinck group explores biological evolution in artificial environments to uncover new to nature functions, focusing on evolvable self assembling biomaterials and their applications in sustainable chemistry and biotechnology. Jason Chin - The Chin group's work pioneers: i) the development and application of genome design and synthesis methods and ii) combines these approaches with cellular engineering for the encoded cellular synthesis of new polymers and materials. Key Responsibilities for all Postdoctoral Researchers Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications. Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals. Contribute intellectually to the research direction by identifying opportunities for innovation and refining research questions. Prepare and publish high quality scientific papers, reports, presentations, and protocols. Present research at national and international conferences, seminars, and internal meetings. Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary workstreams. Build and maintain research infrastructure, laboratory capabilities, and cutting edge technologies. Mentor and support junior researchers, including PhD students and research assistants. Translate research findings into commercial or translational opportunities in alignment with EIT's mission. Identify and pursue opportunities for intellectual property generation and protection. Ensure research activities comply with EIT's policies, legal requirements, and best scientific practice. This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Essential and Desirable Knowledge, Skills and Experience Completed a PhD within the last 4 years in a relevant field (e.g., synthetic biology, computational biology and AI, microbial, plant and human cell biology, genomics, robotics and automation, and nucleic acids chemistry). Track record of delivering ambitious research projects to a high standard. Strong track record in research, ideally in molecular biology, synthetic biology, or related fields. Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable. Proven ability to work independently, think creatively, and solve complex experimental problems. Experience publishing in high impact journals and presenting at international conferences. Excellent organisational skills with the ability to manage multiple concurrent projects. Strong written and verbal communication skills, with experience collaborating in multidisciplinary teams. Capacity to build and sustain productive collaborations internally and externally. Resilience, adaptability, and enthusiasm for working in a fast paced, high growth research environment. We offer the following benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box . click apply for full job details
Jan 28, 2026
Full time
Generative Biology Institute GBI is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute will commence operations in a newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose made facility in the Oxford Science Park, currently under construction. Once complete, this state of the art facility will include more than 40,000 m of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Job Summary We are seeking ambitious, creative, and highly skilled Postdoctoral Researchers to join the Generative Biology Institute (GBI). This is your opportunity to be part of cutting edge research within an institute dedicated to engineering biology at an unprecedented scale. In this role you will support an internationally competitive research programme, leveraging GBI's exceptional facilities, sustained funding, and collaborative environment. You will design and execute experiments, contribute to high impact publications, and play a key role in the training and mentorship of junior researchers and students. Working at the interface of biology, technology, and engineering, you will help shape GBI's vision to reimagine what's possible in biology. Applications to Research Groups Applications will be reviewed on a rolling basis by the specific research groups you select. On the application page, you will be asked to select up to three (3) research groups you wish to apply to. In your cover letter, please clearly identify the group(s) you are applying to and explain your fit, interest, and relevant experience for each one. Please note that applicants who select more than three groups, or who do not specify their groups of interest, will not be considered. All applications must be submitted exclusively through the EIT job portal. Please do not contact Principal Investigators directly, as direct outreach will not be considered as part of the application process. Due to the volume of applications, the review and decision process may take 3-6 months. Principal Investigators currently recruiting for Postdoctoral Fellows Leopold Parts - The Parts group works to engineer and model mammalian chromosomes. In particular, the group has long term aims to delete, randomize, evolve, and model chromosome scale DNA, all with the aim of informing models of synthetic DNA function; other ideas fitting this broad remit are very welcome. Rongzhen Tian - The Tian group aims to leverage an orthogonal replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to tackle challenges in human health and industry, and iii) generate large scale enzyme datasets for training next generation protein design models. Jérôme Zürcher - The Zürcher group aims to develop methodology to rapidly and scalably write entire genomes of microbes and phages and to leverage these methods to i) genetically isolate organisms, ii) investigate host pathogen interactions, iii) provide a platform for large vector assembly towards Gb scale genome synthesis. Linda van Bijsterveldt - The van Bijsterveldt group aims to develop methods for building and stably transmitting synthetic chromosomes through mitosis and meiosis in mammals and plants. Projects focus on i) creating scalable platforms for constructing entire genomes, ii) transferring chromosomes between different species, and iii) controlling trait inheritance patterns. Kiarash Jamali - The Jamali group focuses on integrating novel, large databases and inductive biases in generative models of biomolecules, seeking to create next generation tools that would enable protein design of new to nature enzymatic reactions, therapeutics, and molecular motors. A particular focus will be on the integration of learned machine learning force fields with generative protein modelling. Fabian Rehm - The Rehm group works to develop and apply new approaches for the continuous evolution of target genes, and the synthesis of large microbial genome stretches. Research will focus on i) evolving complex, multi gene traits within a single experiment, ii) building selective pressures that reward desired behaviours while minimising escape routes, iii) how to borrow principles from natural evolution, such as modularity, gene amplification, or cooperation, to help engineered organisms explore richer evolutionary pathways. Martin Spinck - The Spinck group explores biological evolution in artificial environments to uncover new to nature functions, focusing on evolvable self assembling biomaterials and their applications in sustainable chemistry and biotechnology. Jason Chin - The Chin group's work pioneers: i) the development and application of genome design and synthesis methods and ii) combines these approaches with cellular engineering for the encoded cellular synthesis of new polymers and materials. Key Responsibilities for all Postdoctoral Researchers Design, execute, and troubleshoot experiments, including the development of novel methodologies and adaptation of existing techniques to new applications. Analyse complex datasets using computational and statistical tools, interpreting results in the context of broader research goals. Contribute intellectually to the research direction by identifying opportunities for innovation and refining research questions. Prepare and publish high quality scientific papers, reports, presentations, and protocols. Present research at national and international conferences, seminars, and internal meetings. Collaborate with multidisciplinary teams within GBI, EIT, and external partners to advance complementary workstreams. Build and maintain research infrastructure, laboratory capabilities, and cutting edge technologies. Mentor and support junior researchers, including PhD students and research assistants. Translate research findings into commercial or translational opportunities in alignment with EIT's mission. Identify and pursue opportunities for intellectual property generation and protection. Ensure research activities comply with EIT's policies, legal requirements, and best scientific practice. This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Essential and Desirable Knowledge, Skills and Experience Completed a PhD within the last 4 years in a relevant field (e.g., synthetic biology, computational biology and AI, microbial, plant and human cell biology, genomics, robotics and automation, and nucleic acids chemistry). Track record of delivering ambitious research projects to a high standard. Strong track record in research, ideally in molecular biology, synthetic biology, or related fields. Skilled in data analysis and interpretation; experience with genomic analysis, automation, or computational tools desirable. Proven ability to work independently, think creatively, and solve complex experimental problems. Experience publishing in high impact journals and presenting at international conferences. Excellent organisational skills with the ability to manage multiple concurrent projects. Strong written and verbal communication skills, with experience collaborating in multidisciplinary teams. Capacity to build and sustain productive collaborations internally and externally. Resilience, adaptability, and enthusiasm for working in a fast paced, high growth research environment. We offer the following benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box . click apply for full job details
Director , Cybersecurity , Engineering, OT, TC UKI
Ernst & Young Advisory Services Sdn Bhd City, London
Director , Cybersecurity , Engineering, OT, TC UKI Location: London Other locations: Primary Location Only Date: 26 Jan 2026 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Title: Director - Cybersecurity OT About EY:At EY, we are committed to building a better working world. Our Cybersecurity Consulting Practice is rapidly expanding, and we are investing in our capabilities to meet the increasing demand for cybersecurity solutions. Join us and be part of a global team of over 13,000 professionals dedicated to delivering cutting edge security transformation programs and services. The Opportunity:As a Director in Cybersecurity, you will bring diverse perspectives and deep subject matter expertise to deliver high quality insights and outcomes for our clients. You will play a strategic leadership role in shaping and overseeing complex cybersecurity engagements, strengthening senior client relationships, and guiding teams to develop innovative, practical solutions that address the evolving security challenges organisations face. Key Responsibilities: Lead and manage large OT Security engagements, overseeing day to day delivery across industrial environments including manufacturing, energy, utilities, and critical infrastructure. Ensure delivery meets quality, time and budget expectations while navigating complex OT operational constraints. Apply deep technical and sector knowledge across OT, ICSS, and IIoT environments to shape and deliver client programmes. Leverage expertise in IEC 62443, NIST CSF for OT, and the Purdue Model to conduct maturity assessments, design secure architectures, and lead OT cyber risk reduction initiatives. Identify, shape, and originate new OT security opportunities, using established industry relationships across engineering, operations, and cyber functions. Position the firm with senior OT decision makers, including engineering directors, CISOs, and asset owners, demonstrating a strong understanding of safety, reliability, and availability priorities. Partner with senior practice and market leaders to pursue high value OT security focused opportunities. Develop differentiated proposals, point of view materials, and transformation roadmaps aligned to industrial cybersecurity trends such as OT-IT convergence, zero trust for OT, asset visibility, and secure remote access. Provide visible leadership into a globally established high performing OT security team, sharing deep domain expertise in ICSS/SCADA, industrial protocols, and secure OT architecture patterns. Mentor consultants to develop both technical skills and commercial acumen, fostering a culture of continuous learning and cross disciplinary collaboration. Develop impactful OT cybersecurity thought leadership, articulating market relevant insights on IEC 62443 adoption, secure operations, industrial threat landscapes, and practical transformation strategies. Support the creation of frameworks and tools that differentiate the firm's OT security offering. Build and maintain strategic relationships with senior client leaders, including operations executives, heads of engineering, CTOs, and CISOs. Use these relationships to identify transformation opportunities, influence senior stakeholders, and steer delivery outcomes across complex industrial ecosystems. Skills and Attributes for Success: Exceptional communicator, able to clearly explain complex OT security concepts, risks, and architectures to both technical engineering teams and senior business stakeholders. Skilled at translating OT cyber risks into operational, safety, and financial impact. Strategic thinker with deep OT cybersecurity expertise, capable of diagnosing complex industrial cyber challenges and shaping robust, standards aligned solutions (e.g., IEC 62443 reference models, Purdue Model segmentation strategies, OT Zero Trust). Able to secure executive buy in by aligning cyber outcomes with operational priorities such as uptime, safety, and regulatory compliance. Proven people leader, experienced in developing skilled OT cybersecurity teams through coaching, mentoring, and modelling inclusive, collaborative leadership behaviours. Strong commercial acumen, consistently delivering high quality outcomes, managing programme risks, and ensuring operational excellence across large scale industrial cybersecurity engagements. Experienced programme and engagement leader, adept at structuring and managing multi site OT security transformations, including asset discovery, segmentation, architecture redesign, and secure remote access implementation. Skilled at navigating the unique constraints of OT systems including legacy technologies and safety critical environments. Pragmatic, client centric approach, able to navigate ambiguity across industrial operations, anticipate issues related to safety and continuity, and guide clients confidently through complex decision making regarding OT system modernisation and cyber risk reduction. Strong market access and trusted relationships, leveraging established networks in OT heavy sectors (e.g., energy, utilities, manufacturing, transport) to influence market conversations, originate new opportunities, and position the firm as a leader in industrial cybersecurity. To Qualify for the Role, You Must Have: Proven experience defining and delivering OT centric cybersecurity strategies across industrial environments (ICS, SCADA, IIoT), with the ability to clearly articulate the operational and commercial value of OT security to senior stakeholders across engineering and enterprise leadership. A strong track record developing OT cybersecurity investment and transformation cases, including business justification, cost-benefit analysis, and prioritisation of remediation activities across multi site industrial estates. Capable of aligning OT security investment with organisational goals such as regulatory compliance, contractual obligations and digital transformation. Hands on experience designing and implementing OT security target operating models, covering governance, incident response, asset lifecycle management, engineering processes, and roles/responsibilities across IT-OT converged environments. Experienced in embedding secure by design principles aligned to IEC 62443, NIST , and recognised OT security best practice. Robust understanding of OT relevant cybersecurity regulations and frameworks, including IEC 62443, NIST , NIS/NIS2, sector specific regulatory requirements, and the Purdue Model for segmentation. Ideally, You'll Also Have: Relevant security and OT security specific qualifications, such as CISSP, CIISEC, GICSP, or ISA/IEC 62443 certifications. Experience operating within or alongside NCSC Assured Cyber Consultancies or equivalent industrial cybersecurity practices, including delivering OT threat assessments, architecture reviews, red team exercises, or resilience programmes in regulated sectors. Sector experience across OT heavy industries, such as Energy & Utilities, Oil & Gas, Manufacturing, Transport, Chemicals, Pharmaceuticals, or Critical National Infrastructure - with a strong understanding of engineering processes, operational constraints, and safety critical environments. Professional services experience delivering large scale OT cybersecurity transformations, working with multi disciplinary teams of engineers, cyber specialists, and operational leaders in market leading organisations. Please note: The successful candidate must undergo and pass checks in line with SC (Security Check) clearance standards after joining EY. These checks may include, but are not limited to, verification of identity, right to work in the UK, employment history, proof of address may be required and unspent criminal convictions. Candidates must be a UK national or have been a resident in the UK for a minimum of five years and ensure that they have not spent more than six months outside the UK. Join Us:At EY, you'll have the chance to build a meaningful and fulfilling career, supported by an inclusive culture and cutting edge technology. Together, we can create a better working world for all. What we look for We're interested in people with integrity who can collaborate with people from a diverse range of backgrounds and crucially a growth mindset. What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning:You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you:We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership:We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture:You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible . click apply for full job details
Jan 28, 2026
Full time
Director , Cybersecurity , Engineering, OT, TC UKI Location: London Other locations: Primary Location Only Date: 26 Jan 2026 Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Title: Director - Cybersecurity OT About EY:At EY, we are committed to building a better working world. Our Cybersecurity Consulting Practice is rapidly expanding, and we are investing in our capabilities to meet the increasing demand for cybersecurity solutions. Join us and be part of a global team of over 13,000 professionals dedicated to delivering cutting edge security transformation programs and services. The Opportunity:As a Director in Cybersecurity, you will bring diverse perspectives and deep subject matter expertise to deliver high quality insights and outcomes for our clients. You will play a strategic leadership role in shaping and overseeing complex cybersecurity engagements, strengthening senior client relationships, and guiding teams to develop innovative, practical solutions that address the evolving security challenges organisations face. Key Responsibilities: Lead and manage large OT Security engagements, overseeing day to day delivery across industrial environments including manufacturing, energy, utilities, and critical infrastructure. Ensure delivery meets quality, time and budget expectations while navigating complex OT operational constraints. Apply deep technical and sector knowledge across OT, ICSS, and IIoT environments to shape and deliver client programmes. Leverage expertise in IEC 62443, NIST CSF for OT, and the Purdue Model to conduct maturity assessments, design secure architectures, and lead OT cyber risk reduction initiatives. Identify, shape, and originate new OT security opportunities, using established industry relationships across engineering, operations, and cyber functions. Position the firm with senior OT decision makers, including engineering directors, CISOs, and asset owners, demonstrating a strong understanding of safety, reliability, and availability priorities. Partner with senior practice and market leaders to pursue high value OT security focused opportunities. Develop differentiated proposals, point of view materials, and transformation roadmaps aligned to industrial cybersecurity trends such as OT-IT convergence, zero trust for OT, asset visibility, and secure remote access. Provide visible leadership into a globally established high performing OT security team, sharing deep domain expertise in ICSS/SCADA, industrial protocols, and secure OT architecture patterns. Mentor consultants to develop both technical skills and commercial acumen, fostering a culture of continuous learning and cross disciplinary collaboration. Develop impactful OT cybersecurity thought leadership, articulating market relevant insights on IEC 62443 adoption, secure operations, industrial threat landscapes, and practical transformation strategies. Support the creation of frameworks and tools that differentiate the firm's OT security offering. Build and maintain strategic relationships with senior client leaders, including operations executives, heads of engineering, CTOs, and CISOs. Use these relationships to identify transformation opportunities, influence senior stakeholders, and steer delivery outcomes across complex industrial ecosystems. Skills and Attributes for Success: Exceptional communicator, able to clearly explain complex OT security concepts, risks, and architectures to both technical engineering teams and senior business stakeholders. Skilled at translating OT cyber risks into operational, safety, and financial impact. Strategic thinker with deep OT cybersecurity expertise, capable of diagnosing complex industrial cyber challenges and shaping robust, standards aligned solutions (e.g., IEC 62443 reference models, Purdue Model segmentation strategies, OT Zero Trust). Able to secure executive buy in by aligning cyber outcomes with operational priorities such as uptime, safety, and regulatory compliance. Proven people leader, experienced in developing skilled OT cybersecurity teams through coaching, mentoring, and modelling inclusive, collaborative leadership behaviours. Strong commercial acumen, consistently delivering high quality outcomes, managing programme risks, and ensuring operational excellence across large scale industrial cybersecurity engagements. Experienced programme and engagement leader, adept at structuring and managing multi site OT security transformations, including asset discovery, segmentation, architecture redesign, and secure remote access implementation. Skilled at navigating the unique constraints of OT systems including legacy technologies and safety critical environments. Pragmatic, client centric approach, able to navigate ambiguity across industrial operations, anticipate issues related to safety and continuity, and guide clients confidently through complex decision making regarding OT system modernisation and cyber risk reduction. Strong market access and trusted relationships, leveraging established networks in OT heavy sectors (e.g., energy, utilities, manufacturing, transport) to influence market conversations, originate new opportunities, and position the firm as a leader in industrial cybersecurity. To Qualify for the Role, You Must Have: Proven experience defining and delivering OT centric cybersecurity strategies across industrial environments (ICS, SCADA, IIoT), with the ability to clearly articulate the operational and commercial value of OT security to senior stakeholders across engineering and enterprise leadership. A strong track record developing OT cybersecurity investment and transformation cases, including business justification, cost-benefit analysis, and prioritisation of remediation activities across multi site industrial estates. Capable of aligning OT security investment with organisational goals such as regulatory compliance, contractual obligations and digital transformation. Hands on experience designing and implementing OT security target operating models, covering governance, incident response, asset lifecycle management, engineering processes, and roles/responsibilities across IT-OT converged environments. Experienced in embedding secure by design principles aligned to IEC 62443, NIST , and recognised OT security best practice. Robust understanding of OT relevant cybersecurity regulations and frameworks, including IEC 62443, NIST , NIS/NIS2, sector specific regulatory requirements, and the Purdue Model for segmentation. Ideally, You'll Also Have: Relevant security and OT security specific qualifications, such as CISSP, CIISEC, GICSP, or ISA/IEC 62443 certifications. Experience operating within or alongside NCSC Assured Cyber Consultancies or equivalent industrial cybersecurity practices, including delivering OT threat assessments, architecture reviews, red team exercises, or resilience programmes in regulated sectors. Sector experience across OT heavy industries, such as Energy & Utilities, Oil & Gas, Manufacturing, Transport, Chemicals, Pharmaceuticals, or Critical National Infrastructure - with a strong understanding of engineering processes, operational constraints, and safety critical environments. Professional services experience delivering large scale OT cybersecurity transformations, working with multi disciplinary teams of engineers, cyber specialists, and operational leaders in market leading organisations. Please note: The successful candidate must undergo and pass checks in line with SC (Security Check) clearance standards after joining EY. These checks may include, but are not limited to, verification of identity, right to work in the UK, employment history, proof of address may be required and unspent criminal convictions. Candidates must be a UK national or have been a resident in the UK for a minimum of five years and ensure that they have not spent more than six months outside the UK. Join Us:At EY, you'll have the chance to build a meaningful and fulfilling career, supported by an inclusive culture and cutting edge technology. Together, we can create a better working world for all. What we look for We're interested in people with integrity who can collaborate with people from a diverse range of backgrounds and crucially a growth mindset. What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning:You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you:We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership:We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture:You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible . click apply for full job details
Senior Transformation Underwriter
Münchener Rückversicherungs-Gesellschaft
Together, we engage with everything we have and are, to help humankind act braver and better. About UK Life Branch: With the office in Munich, it forms the Life 1 division of Munich Re. The UK life market is one of the, if not the, most competitive life markets in the world. We understand that Life insurers work in a dynamic market where medical progress, demographic trends and changing lifestyles are constantly giving rise to new risk landscapes. This demanding situation is made even more challenging by changing laws and regulations and ever tougher competition. So we need a smart strategy and structure in order to succeed. At UK & Ireland Life we have three pillars to our business strategy, protection, longevity and reinsurance structuring. All three are key to the success of our business so it's important to look at the big picture. In terms of clients, we trust them as experts of their business and provide them with the financial strength of the world's largest reinsurer, global expertise and sharp pricing so that they are both competitive and profitable. About the Role: Support the delivery of the UK Underwriting and Claims strategy through the marketing and provision of underwriting services to UK Life and Health clients. Key Responsibilities: Develop and maintain the UK Underwriting philosophy, ensuring alignment with the needs of the UK market when prioritizing and coordinating updates. Collaborate with Business Development to provide underwriting expertise for compelling tender responses. Serve as the UK subject matter expert for conducting research for MIRA, Munich Re's underwriting manual. Act as the technical link between UK Underwriting, Marketing, and Medical Research teams. Monitor medical advancements that could impact UK Protection products, underwriting, and claims philosophies. Provide informed, expert insights to the Underwriting & Claims Strategy Manager regarding UK innovation opportunities. Build a comprehensive understanding of target companies' strategies, plans, and reinsurance requirements in collaboration with Business Development and Actuarial teams. Contribute ideas to enhance client relationships and strengthen the underwriting proposition. Conduct desktop and other research to track competitor and market developments. Support the underwriting operations team in assessing client referrals as needed. Competencies: Drives results (we think big) - you consistently achieve results even under tough circumstances, with the organisation's performance in the front of your mind. You make good and timely decisions to keep things moving, using analysis, experience and judgement. Business insight (we think big) - you can apply your knowledge of the business and the market to advance your business' and wider organisation's goals. Collaboration (we lead the 'we') - you identify opportunities and bring the right people together to work on a common goal, encouraging diversity of opinion, whilst maintaining clarity and unity of direction. Client focus (we grow with our clients) - you build and maintain strong client relationships (internal and external), listening to their needs and working with them to ensure value is created. Cultivates innovation (we grow with our clients) - you create new and better ways for Munich Re to be successful e.g., generating ideas, creating efficiencies, harnessing new technology etc. Courage (we care and dare) - you are willing to challenge the status quo and address difficult issues, saying what you believe needs to be said. You also continue to operate effectively even when things are uncertain and the way forward is unclear. Persuades (we are clear and authentic) - you use clear and compelling arguments to gain the support, enthusiasm and commitment of others, whilst ensuring you take time to actively listen to the diversity of views and opinions. Key Skills & Experience: Experience working within a reinsurance environment. Strong communication and presentation skills, with the ability to engage effectively with diverse stakeholders. In-depth knowledge of the UK Life and Living Benefits market. Experience contributing to product development or cross functional projects. Ability to manage multiple priorities effectively. Strong organizational skills to meet deadlines and manage client expectations. Proven ability to produce high-quality written materials. Thought Leaders: You are seen as an expert in your field and will be the 'go to' person for your area of specialism within Munich Re. You will be seen as a role model/mentor to others - identifying opportunities to share your knowledge with others. You will demonstrate and role model inclusive behaviour and encourage your colleagues to play an active role in creating an inclusive culture as well. You will treat your colleagues, sales and business partners fairly and with respect. Regulatory & Conduct Requirements: Ensuring compliance with Insurance Distribution Directive Satisfying all regulatory reporting requirements in collaboration with the reporting function Ensuring compliance with Munich Re's Code of Conduct and the FCA Conduct Rules Benefits You will be rewarded with a great compensation package, on target bonus, 25 days annual leave with the option to purchase more along with private medical insurance and employers' contributory pension of 10%. We are also one of the few employers to offer fully paid6months family leave for times when you need it the most. About us You will work in an environment where we think big: Change and culture are continuously role modelled. We create and articulate a compelling and ambitious shared purpose, vision and direction. We pave the way towards success and see failure as learning. You are going to experience that we care & dare: We are empathetic. We know when to lead and know when to let others lead. We attract, grow and coach future leaders. We communicate in a clear & authentic way: We interact with a positive and humble spirit. We solicit feedback, ask and listen, learn and unlearn. You will grow with your clients: Whatever our role, we support business, in an efficient and effective way, to create value for our clients. We embrace new ways of working using digitalisation to deliver solutions. We lead the We: We have a passion for winning and growing as a team. We inspire people to be capable of joint performance. We create an inclusive environment where different thoughts, generations, cultures and experiences are valued and encouraged. At Munich Re, embracing the power of differences is at the core of who we are. We believe diversity fosters resilience and innovation and enables us to act on our purpose of helping humankind act braver and better. We recognise diversity can be multi dimensional, intersectional, and complex, so we want to build a diverse workforce that includes a wide range of racial, ethnic, sexual, and gender identities; economic and geographic backgrounds; physical abilities; ages; life, school, and career experiences; and political, religious, and personal beliefs. Additionally, we are committed to building an equitable and inclusive work environment where this diversity is celebrated, valued, and has equitable opportunities to succeed. If you are excited about this role but your experience does not align perfectly with everything outlined, or you don't meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for! All candidates in consideration for any role can request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact.
Jan 28, 2026
Full time
Together, we engage with everything we have and are, to help humankind act braver and better. About UK Life Branch: With the office in Munich, it forms the Life 1 division of Munich Re. The UK life market is one of the, if not the, most competitive life markets in the world. We understand that Life insurers work in a dynamic market where medical progress, demographic trends and changing lifestyles are constantly giving rise to new risk landscapes. This demanding situation is made even more challenging by changing laws and regulations and ever tougher competition. So we need a smart strategy and structure in order to succeed. At UK & Ireland Life we have three pillars to our business strategy, protection, longevity and reinsurance structuring. All three are key to the success of our business so it's important to look at the big picture. In terms of clients, we trust them as experts of their business and provide them with the financial strength of the world's largest reinsurer, global expertise and sharp pricing so that they are both competitive and profitable. About the Role: Support the delivery of the UK Underwriting and Claims strategy through the marketing and provision of underwriting services to UK Life and Health clients. Key Responsibilities: Develop and maintain the UK Underwriting philosophy, ensuring alignment with the needs of the UK market when prioritizing and coordinating updates. Collaborate with Business Development to provide underwriting expertise for compelling tender responses. Serve as the UK subject matter expert for conducting research for MIRA, Munich Re's underwriting manual. Act as the technical link between UK Underwriting, Marketing, and Medical Research teams. Monitor medical advancements that could impact UK Protection products, underwriting, and claims philosophies. Provide informed, expert insights to the Underwriting & Claims Strategy Manager regarding UK innovation opportunities. Build a comprehensive understanding of target companies' strategies, plans, and reinsurance requirements in collaboration with Business Development and Actuarial teams. Contribute ideas to enhance client relationships and strengthen the underwriting proposition. Conduct desktop and other research to track competitor and market developments. Support the underwriting operations team in assessing client referrals as needed. Competencies: Drives results (we think big) - you consistently achieve results even under tough circumstances, with the organisation's performance in the front of your mind. You make good and timely decisions to keep things moving, using analysis, experience and judgement. Business insight (we think big) - you can apply your knowledge of the business and the market to advance your business' and wider organisation's goals. Collaboration (we lead the 'we') - you identify opportunities and bring the right people together to work on a common goal, encouraging diversity of opinion, whilst maintaining clarity and unity of direction. Client focus (we grow with our clients) - you build and maintain strong client relationships (internal and external), listening to their needs and working with them to ensure value is created. Cultivates innovation (we grow with our clients) - you create new and better ways for Munich Re to be successful e.g., generating ideas, creating efficiencies, harnessing new technology etc. Courage (we care and dare) - you are willing to challenge the status quo and address difficult issues, saying what you believe needs to be said. You also continue to operate effectively even when things are uncertain and the way forward is unclear. Persuades (we are clear and authentic) - you use clear and compelling arguments to gain the support, enthusiasm and commitment of others, whilst ensuring you take time to actively listen to the diversity of views and opinions. Key Skills & Experience: Experience working within a reinsurance environment. Strong communication and presentation skills, with the ability to engage effectively with diverse stakeholders. In-depth knowledge of the UK Life and Living Benefits market. Experience contributing to product development or cross functional projects. Ability to manage multiple priorities effectively. Strong organizational skills to meet deadlines and manage client expectations. Proven ability to produce high-quality written materials. Thought Leaders: You are seen as an expert in your field and will be the 'go to' person for your area of specialism within Munich Re. You will be seen as a role model/mentor to others - identifying opportunities to share your knowledge with others. You will demonstrate and role model inclusive behaviour and encourage your colleagues to play an active role in creating an inclusive culture as well. You will treat your colleagues, sales and business partners fairly and with respect. Regulatory & Conduct Requirements: Ensuring compliance with Insurance Distribution Directive Satisfying all regulatory reporting requirements in collaboration with the reporting function Ensuring compliance with Munich Re's Code of Conduct and the FCA Conduct Rules Benefits You will be rewarded with a great compensation package, on target bonus, 25 days annual leave with the option to purchase more along with private medical insurance and employers' contributory pension of 10%. We are also one of the few employers to offer fully paid6months family leave for times when you need it the most. About us You will work in an environment where we think big: Change and culture are continuously role modelled. We create and articulate a compelling and ambitious shared purpose, vision and direction. We pave the way towards success and see failure as learning. You are going to experience that we care & dare: We are empathetic. We know when to lead and know when to let others lead. We attract, grow and coach future leaders. We communicate in a clear & authentic way: We interact with a positive and humble spirit. We solicit feedback, ask and listen, learn and unlearn. You will grow with your clients: Whatever our role, we support business, in an efficient and effective way, to create value for our clients. We embrace new ways of working using digitalisation to deliver solutions. We lead the We: We have a passion for winning and growing as a team. We inspire people to be capable of joint performance. We create an inclusive environment where different thoughts, generations, cultures and experiences are valued and encouraged. At Munich Re, embracing the power of differences is at the core of who we are. We believe diversity fosters resilience and innovation and enables us to act on our purpose of helping humankind act braver and better. We recognise diversity can be multi dimensional, intersectional, and complex, so we want to build a diverse workforce that includes a wide range of racial, ethnic, sexual, and gender identities; economic and geographic backgrounds; physical abilities; ages; life, school, and career experiences; and political, religious, and personal beliefs. Additionally, we are committed to building an equitable and inclusive work environment where this diversity is celebrated, valued, and has equitable opportunities to succeed. If you are excited about this role but your experience does not align perfectly with everything outlined, or you don't meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for! All candidates in consideration for any role can request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact.
Sky
Lead ML Engineer (Live Sports Insights)
Sky Cheshunt, Hertfordshire
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 28, 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.
Outcomes First Group
Student Support Mentor
Outcomes First Group Edith Weston, Rutland
Work Smarter. Live Better. Join the 4-Day Working Week! Job Title: Student Support Mentor Location: The Grange Therapeutic School, Knossington, Oakham LE15 8LY Salary: £22,160.62 per annum (£13.25 per hour) ( not pro rata ) Hours: 37.5 hours per week Monday to Friday Rota: Monday to Thursday 8.30am - 4.30pm Friday 8.30am - 4.00pm Contract: Permanent Term Time Only Start: February 2026 UK applicants only. This role does not offer sponsorship. At Outcomes First Group, we believe in better work/life balance - and we're putting wellbeing first. That's why we're proud to be part of a 4-Day Working Week ( 4DWW ) trial, giving you 80% of your contractual hours for 100% of your pay . Many of our schools have already introduced the 4DWW, and others will soon join in. So, whether it's already in place or just around the corner, now's the perfect time to join ! About the Role As a Student Support Mentor at The Grange Therapeutic School, you will play a vital role in helping children and young people with SEMH needs thrive. Set within the beautiful Leicestershire countryside, our specialist provision offers a personalised, therapeutic approach that supports pupils' educational, social, and emotional development. This is a rewarding opportunity for compassionate, motivated individuals who want to make a genuine difference in the lives of young people. You will: Build positive, trusting relationships with pupils to support academic, social, and emotional growth Support students in and out of the classroom, helping them fully engage with learning Work with pupils with SEMH, ASD, and ADHD, adapting support to meet individual needs Encourage independence, confidence, and positive behaviour in a safe and structured environment Help pupils access a personalised curriculum tailored to their strengths and needs You will be part of a dedicated, supportive team and have the opportunity to make a direct, lasting impact on the lives and futures of vulnerable children and young people. About You We're looking for someone who is: Educated to GCSE grade C/4 or above (or equivalent) in English and Maths Experienced in working with children in an educational, care, or support setting (highly desirable) Enthusiastic, caring, and resilient, with a genuine desire to support vulnerable young people Adaptable and flexible, confident working across different environments and activities About Us The Grange Therapeutic School is an independent school in Leicestershire for pupils aged 8-18 with social, emotional, and mental health needs or autism. Set in a Victorian country house with access to woods and lakes, the school provides a personalised curriculum that develops academic, social, and emotional skills. Pupils benefit from creative indoor and outdoor learning experiences, tailored to their interests, to reignite engagement and foster independence. The Grange empowers every young person to discover their potential, enjoy success, and prepare for life Acorn Education offers rewarding careers and meaningful challenges while making a real difference in young people's lives. As a leading UK provider of specialist education for children and young people with special educational needs, and part of Outcomes First Group, we deliver innovative, evidence-based approaches that support measurable progress and lasting impact. We are really proud to say that in 2025 Outcomes First Group were officially certified as a 'Great Place to Work' for the sixth year running. Why Join Us? We place pupils and vulnerable young adults at the heart of everything we do, so every day brings the satisfaction of making a real difference. We are committed to the safeguarding and promoting the welfare of pupils and young people. All applicants will be subject to social media checks and successful applicants to a fully enhanced DBS. Life Assurance Pension scheme with options to increase contributions "Your Wellbeing Matters" - mental health support and physical health checks Flexible Benefits Platform (Vista), including: Health, wellbeing and insurance benefits Hundreds of UK and international discounts Cycle to Work Scheme & Electric Car Purchase Scheme Critical illness cover Family Growth Support, including enhanced maternity/paternity leave and paid fertility treatment support Subject to successful probation. Not a contractual benefit. We reserve the right to close the vacancy early if we receive a high volume of suitable applications. Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales .
Jan 28, 2026
Full time
Work Smarter. Live Better. Join the 4-Day Working Week! Job Title: Student Support Mentor Location: The Grange Therapeutic School, Knossington, Oakham LE15 8LY Salary: £22,160.62 per annum (£13.25 per hour) ( not pro rata ) Hours: 37.5 hours per week Monday to Friday Rota: Monday to Thursday 8.30am - 4.30pm Friday 8.30am - 4.00pm Contract: Permanent Term Time Only Start: February 2026 UK applicants only. This role does not offer sponsorship. At Outcomes First Group, we believe in better work/life balance - and we're putting wellbeing first. That's why we're proud to be part of a 4-Day Working Week ( 4DWW ) trial, giving you 80% of your contractual hours for 100% of your pay . Many of our schools have already introduced the 4DWW, and others will soon join in. So, whether it's already in place or just around the corner, now's the perfect time to join ! About the Role As a Student Support Mentor at The Grange Therapeutic School, you will play a vital role in helping children and young people with SEMH needs thrive. Set within the beautiful Leicestershire countryside, our specialist provision offers a personalised, therapeutic approach that supports pupils' educational, social, and emotional development. This is a rewarding opportunity for compassionate, motivated individuals who want to make a genuine difference in the lives of young people. You will: Build positive, trusting relationships with pupils to support academic, social, and emotional growth Support students in and out of the classroom, helping them fully engage with learning Work with pupils with SEMH, ASD, and ADHD, adapting support to meet individual needs Encourage independence, confidence, and positive behaviour in a safe and structured environment Help pupils access a personalised curriculum tailored to their strengths and needs You will be part of a dedicated, supportive team and have the opportunity to make a direct, lasting impact on the lives and futures of vulnerable children and young people. About You We're looking for someone who is: Educated to GCSE grade C/4 or above (or equivalent) in English and Maths Experienced in working with children in an educational, care, or support setting (highly desirable) Enthusiastic, caring, and resilient, with a genuine desire to support vulnerable young people Adaptable and flexible, confident working across different environments and activities About Us The Grange Therapeutic School is an independent school in Leicestershire for pupils aged 8-18 with social, emotional, and mental health needs or autism. Set in a Victorian country house with access to woods and lakes, the school provides a personalised curriculum that develops academic, social, and emotional skills. Pupils benefit from creative indoor and outdoor learning experiences, tailored to their interests, to reignite engagement and foster independence. The Grange empowers every young person to discover their potential, enjoy success, and prepare for life Acorn Education offers rewarding careers and meaningful challenges while making a real difference in young people's lives. As a leading UK provider of specialist education for children and young people with special educational needs, and part of Outcomes First Group, we deliver innovative, evidence-based approaches that support measurable progress and lasting impact. We are really proud to say that in 2025 Outcomes First Group were officially certified as a 'Great Place to Work' for the sixth year running. Why Join Us? We place pupils and vulnerable young adults at the heart of everything we do, so every day brings the satisfaction of making a real difference. We are committed to the safeguarding and promoting the welfare of pupils and young people. All applicants will be subject to social media checks and successful applicants to a fully enhanced DBS. Life Assurance Pension scheme with options to increase contributions "Your Wellbeing Matters" - mental health support and physical health checks Flexible Benefits Platform (Vista), including: Health, wellbeing and insurance benefits Hundreds of UK and international discounts Cycle to Work Scheme & Electric Car Purchase Scheme Critical illness cover Family Growth Support, including enhanced maternity/paternity leave and paid fertility treatment support Subject to successful probation. Not a contractual benefit. We reserve the right to close the vacancy early if we receive a high volume of suitable applications. Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales .
Sky
Principal Machine Learning Engineer
Sky Morden, Surrey
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 28, 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.
Sky
Lead ML Engineer (Live Sports Insights)
Sky Barking, Essex
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 28, 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.
Geotechnical Engineer
Strata Construction Consulting City, London
We are looking for a passionate & highly skilled Geotechnical Engineer to join our clients dynamic & expanding team in London. This role is perfect for a professional with extensive experience in geotechnical engineering, who excels in leading and mentoring a team of engineers and who can demonstrate their ability to develop and implement innovative solutions for complex geotechnical challenges ensuring compliance with industry standards. What's on offer Flexible working Comprehensive training opportunities Reimbursement of professional fees Private medical insurance Life Insurance Interest free travel loan scheme Holiday buy/back scheme Bonus scheme The role Develop comprehensive ground and conceptual site models from desk studies and ground investigation data, producing clear, concise, and informative reports. Understand the role of engineering geology and geotechnical engineering in the design of residential, commercial, and retail developments, and associated infrastructure. Analyse soil and rock behaviour in the UK, focusing on the engineering characteristics of the London basin. Oversee earthworks processes, including the preparation of earthworks specifications, monitoring construction, and validating earthworks reports. Demonstrate expertise in soil structure interaction, geotechnical design, and interpretation, including ground model determination, slope stability assessments, shallow and deep foundation design, ground improvement options, retaining wall design, and ground movement assessments. Apply value engineering principles to maximize client and contractor value while overseeing piling works, earthworks, and foundation processes. Execute temporary and permanent works design, ensuring robust project outcomes. Exhibit exceptional written communication skills with proficiency in report writing and reviewing. Lead, manage, and mentor a team of Engineers, aligning workload with resources. Coordinate multiple projects for various clients while managing conflicting deadlines. Understand fee structures, cost management, and billing within a consultancy setting, coupled with an appreciation of the budgetary and commercial drivers in the development sector. Cultivate strong client relationships to secure repeat business. Identify and leverage business opportunities. Prepare clear, concise, and well presented proposals and fee bids for new projects. What you need to succeed You must have a BSc in Geology, Engineering Geology, or BEng in Civil Engineering. To have proven and demonstrable experience in a civil or geotechnical engineering consultancy within the UK. It's great if you have a MSc in Engineering Geology or Geotechnical Engineering. It's beneficial if you are a Chartered Geologist or Chartered Engineer. To have a wealth of experience with the National Highways CD 622 process, as well as familiarity with London Underground and Network Rail standards, and temporary works design.
Jan 28, 2026
Full time
We are looking for a passionate & highly skilled Geotechnical Engineer to join our clients dynamic & expanding team in London. This role is perfect for a professional with extensive experience in geotechnical engineering, who excels in leading and mentoring a team of engineers and who can demonstrate their ability to develop and implement innovative solutions for complex geotechnical challenges ensuring compliance with industry standards. What's on offer Flexible working Comprehensive training opportunities Reimbursement of professional fees Private medical insurance Life Insurance Interest free travel loan scheme Holiday buy/back scheme Bonus scheme The role Develop comprehensive ground and conceptual site models from desk studies and ground investigation data, producing clear, concise, and informative reports. Understand the role of engineering geology and geotechnical engineering in the design of residential, commercial, and retail developments, and associated infrastructure. Analyse soil and rock behaviour in the UK, focusing on the engineering characteristics of the London basin. Oversee earthworks processes, including the preparation of earthworks specifications, monitoring construction, and validating earthworks reports. Demonstrate expertise in soil structure interaction, geotechnical design, and interpretation, including ground model determination, slope stability assessments, shallow and deep foundation design, ground improvement options, retaining wall design, and ground movement assessments. Apply value engineering principles to maximize client and contractor value while overseeing piling works, earthworks, and foundation processes. Execute temporary and permanent works design, ensuring robust project outcomes. Exhibit exceptional written communication skills with proficiency in report writing and reviewing. Lead, manage, and mentor a team of Engineers, aligning workload with resources. Coordinate multiple projects for various clients while managing conflicting deadlines. Understand fee structures, cost management, and billing within a consultancy setting, coupled with an appreciation of the budgetary and commercial drivers in the development sector. Cultivate strong client relationships to secure repeat business. Identify and leverage business opportunities. Prepare clear, concise, and well presented proposals and fee bids for new projects. What you need to succeed You must have a BSc in Geology, Engineering Geology, or BEng in Civil Engineering. To have proven and demonstrable experience in a civil or geotechnical engineering consultancy within the UK. It's great if you have a MSc in Engineering Geology or Geotechnical Engineering. It's beneficial if you are a Chartered Geologist or Chartered Engineer. To have a wealth of experience with the National Highways CD 622 process, as well as familiarity with London Underground and Network Rail standards, and temporary works design.
Sky
Lead AI Engineer
Sky Lambeth, London
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 28, 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.
Sky
AI Engineer
Sky Morden, Surrey
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 28, 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.
Sky
Lead Machine Learning Engineer (Sports Insights)
Sky Acton, Suffolk
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 28, 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.
Sky
Lead AI Engineer
Sky South Croydon, Surrey
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 28, 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.
Sky
AI Engineer
Sky Mitcham, Surrey
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 28, 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.
Sky
Lead ML Engineer (Live Sports Insights)
Sky Mitcham, Surrey
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 28, 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.
Sky
Lead Machine Learning Engineer (Sports Insights)
Sky Cheshunt, Hertfordshire
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 27, 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.
Sky
Lead AI Engineer
Sky Acton, Suffolk
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 27, 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.

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