Join Childbase Partnership and be part of something extraordinary. Role: Qualified Nursery Practitioner (Level 2 or above). Location: Maples Day Nursery Winchester SO22 6RT. Contract: Permanent 27-40 hours/week 52 weeks/year. Working pattern: Shifts between 07:30-18:30 Choose full-time (36-40 hours over 4 or 5 days), or part-time (27-30 hours across Wednesday-Friday). Salary: £27,040-£32,427.20 per annum (pro-rata) £13.00-£15.59 per hour. We've been delivering childcare excellence since 1989. Within our 44-day nurseries, Head Office, and Training Academy, EduBase, our ethos is simple: we all belong, we all matter, and we all contribute. We believe in ' careers, not jobs' , supporting one another to grow and succeed. Why join us? Generous annual leave : 23 days paid leave per annum (pro-rata), rising to 28 days with length of service, plus paid bank holidays. Work-life balance: Up to a further 20 paid days off each year through our Partnership Reward Days incentive; take your leave or sell the days you accrue, tax-free. Childcare discount : 75% discount (or 40% grandparent discount) on your fees at any Childbase nursery, from day one. Exclusive partner benefits : Long-service rewards, qualification bonuses and retail discounts. Wellbeing support: Free meals, mental health and occupational health support, flu jabs, eye care vouchers and a free will-writing service. Career development : Team inset days, access to online training and apprenticeships through our academy. About us We are employee-owned: Every colleague is a partner with a voice, who helps drive our success; when we do well, we each receive an annual tax-free dividend. We are number 1: Ranked top of the Nursery World league tables for our Ofsted outcomes. We are community driven : Supporting causes close to our hearts, we've raised more than £3.5 million for charity. We are environmentally responsible : Building a greener tomorrow our nurseries all hold Green Flag awards and are powered by 100% renewable energy. About you You are a qualified early years professional : You hold a DfE approved early years qualification at level 2 or above. You are skilled in creating opportunities for learning: Your knowledge of the EYFS will enable you to work as a Key Person, planning and implementing high quality, engaging activities that promote learning through play; observing, assessing and recording children's progress. You are an advocate for safeguarding: You will ensure every child feels safe, valued, and happy and their well-being is promoted. You are collaborative: You enjoy working in partnership with children, parents and colleagues, effectively communicating and building strong and positive relationships. We are an inclusive employer and we welcome applicants of all ages and backgrounds. We're committed to FREDIE ( fairness, respect, equality, diversity, inclusion, and engagement) and will consider any reasonable adjustments required. If you meet the essential criteria for this role, your application will be automatically shortlisted for review by our Recruitment Team who will determine if an interview is the next step. Applicants must currently reside within a commutable distance of the nursery and hold suitable Right to Work in the UK; VISA sponsorship is not available. Safer recruitment checks apply, which include an Enhanced DBS check. If you're not early years qualified, visit our Careers Page to explore other opportunities.
May 12, 2026
Full time
Join Childbase Partnership and be part of something extraordinary. Role: Qualified Nursery Practitioner (Level 2 or above). Location: Maples Day Nursery Winchester SO22 6RT. Contract: Permanent 27-40 hours/week 52 weeks/year. Working pattern: Shifts between 07:30-18:30 Choose full-time (36-40 hours over 4 or 5 days), or part-time (27-30 hours across Wednesday-Friday). Salary: £27,040-£32,427.20 per annum (pro-rata) £13.00-£15.59 per hour. We've been delivering childcare excellence since 1989. Within our 44-day nurseries, Head Office, and Training Academy, EduBase, our ethos is simple: we all belong, we all matter, and we all contribute. We believe in ' careers, not jobs' , supporting one another to grow and succeed. Why join us? Generous annual leave : 23 days paid leave per annum (pro-rata), rising to 28 days with length of service, plus paid bank holidays. Work-life balance: Up to a further 20 paid days off each year through our Partnership Reward Days incentive; take your leave or sell the days you accrue, tax-free. Childcare discount : 75% discount (or 40% grandparent discount) on your fees at any Childbase nursery, from day one. Exclusive partner benefits : Long-service rewards, qualification bonuses and retail discounts. Wellbeing support: Free meals, mental health and occupational health support, flu jabs, eye care vouchers and a free will-writing service. Career development : Team inset days, access to online training and apprenticeships through our academy. About us We are employee-owned: Every colleague is a partner with a voice, who helps drive our success; when we do well, we each receive an annual tax-free dividend. We are number 1: Ranked top of the Nursery World league tables for our Ofsted outcomes. We are community driven : Supporting causes close to our hearts, we've raised more than £3.5 million for charity. We are environmentally responsible : Building a greener tomorrow our nurseries all hold Green Flag awards and are powered by 100% renewable energy. About you You are a qualified early years professional : You hold a DfE approved early years qualification at level 2 or above. You are skilled in creating opportunities for learning: Your knowledge of the EYFS will enable you to work as a Key Person, planning and implementing high quality, engaging activities that promote learning through play; observing, assessing and recording children's progress. You are an advocate for safeguarding: You will ensure every child feels safe, valued, and happy and their well-being is promoted. You are collaborative: You enjoy working in partnership with children, parents and colleagues, effectively communicating and building strong and positive relationships. We are an inclusive employer and we welcome applicants of all ages and backgrounds. We're committed to FREDIE ( fairness, respect, equality, diversity, inclusion, and engagement) and will consider any reasonable adjustments required. If you meet the essential criteria for this role, your application will be automatically shortlisted for review by our Recruitment Team who will determine if an interview is the next step. Applicants must currently reside within a commutable distance of the nursery and hold suitable Right to Work in the UK; VISA sponsorship is not available. Safer recruitment checks apply, which include an Enhanced DBS check. If you're not early years qualified, visit our Careers Page to explore other opportunities.
Look Ahead Care Support and Housing
Islington, London
We're looking for a kind, compassionate and resilient Learning and Development Partner to join our People Team located at our Head Office in Islington. £30,678.05 per annum, working 35 hours per week. This is a hybrid role with a minimum of two days in the office each week, normally Tuesdays and Thursdays. Our benefits include: Annual leave increasing up to 30 days with length of service Season ticket loans for public transport travel to work A generous pension - we will contribute up to 8% (via salary exchange), and life assurance cover of 3x annual pensionable salary (T&Cs apply) Exclusive discounts and cashback via Reward Gateway and opportunity to buy a Blue Light Card Fully paid induction programme and further training ILM courses and Apprenticeship Programmes Cycle to work scheme Employee Assistance Programme for 24-7 confidential support Online wellbeing resources Quarterly Staff Awards to reward & recognise our amazing staff's commitment and contribution All applicants must be legally eligible to work in the UK by the start of employment as Look Ahead are not able to offer sponsorship. This is a fantastic opportunity for someone looking to start a career in Learning & Development and build experience across a busy, supportive L&D function. Working across the L&D team, you will support the administration, coordination and delivery of all Look Ahead's staff training and development programmes student placements, apprenticeships, Diversity & Inclusion and Wellbeing initiatives. You will coordinate workshops from enrolment through to completion, maintain training records, support internal communications to promote L&D activity and encourage high levels of engagement, attendance and compliance with all training and courses. Responsible for ensuring all information is accurate and up to date on the LMS platform (currently MyLearning). What you'll do: Training Courses/Programmes Schedule and manage training workshops and delegate communications Liaise with and maintain relationships with external training providers Process professional development applications and book delegates onto relevant in-house programmes or apprenticeships Keep all training information, materials and records updated across the business Administer and monitor attendance, completions and compliance requirements Maintain and update tracking and monitoring spreadsheets regularly Manage training facilities, equipment and room configuration Coordinate learning analytics and produce monthly reporting on attendance, completions and KPIs Manage the end-to-end induction process from booking new starters, marking attendance and deliver day 1 induction on a rota Share training evaluation feedback with trainers and identify areas for improvement Co-ordinate delegate lists for trainers and venues and joining instructions for learners weekly for upcoming training events Student Placements Respond to and process student and volunteer placement enquiries Provide guidance to potential applicants and ensure vetting compliance Maintain accurate tracking systems and provide monthly progress updates to managers Support with onboarding processes and coordination of relevant induction elements Liaise with internal and external stakeholders to ensure a consistent placement experience Apprenticeships Support the organisation and marketing of apprenticeships opportunities Monitor activity, attendance, milestones and qualification progress for recruited apprentices Maintain structured reporting and make recommendations for programme improvements Support attendance at job fairs, recruitment events or school/college events as required General Maintain L&D and Student Placement shared inboxes daily in line with Service Level Agreements (SLAs) Promote diversity, inclusion and Look Ahead's employer brand through internal communications, including Workplace and intranet posts Support the implementation of the Inclusion & Diversity Action Plan, Wellbeing initiatives and engagement feedback actions with the Recruitment, Training and Talent Manager Ensure all activity is compliant with health and safety requirements Seek feedback from stakeholders to identify opportunities for improvement Support People Team projects and organisational development work as required This is not an exhaustive list of all the duties and responsibilities that may be required from time to time and is subject to change in accordance with the needs of Look Ahead . About you: Organised with good attention to detail and able to prioritise effectively Keen to deliver a high level of customer focused service Responsive to queries and issues and able to come up with effective solutions that meet the business and customer needs Strong communicator who is able to easily build effective working relationships Adaptable and resilient under pressure Decisive and able to prioritise and manage multiple tasks Keen interest in Learning & Development Positive team player who is values driven and contributes to a supportive team culture and works in a collaborative way across the People team, the wider organisation and with stakeholders What you'll bring: Essential: Strong administrative and IT skills, including Microsoft Office Confident in using learning management systems or willing to learn Excellent communication and customer service skills Confident to facilitate induction training Comfortable producing reports, analysing data and maintaining spreadsheets Please see our jobs site for the full job description.
May 12, 2026
Full time
We're looking for a kind, compassionate and resilient Learning and Development Partner to join our People Team located at our Head Office in Islington. £30,678.05 per annum, working 35 hours per week. This is a hybrid role with a minimum of two days in the office each week, normally Tuesdays and Thursdays. Our benefits include: Annual leave increasing up to 30 days with length of service Season ticket loans for public transport travel to work A generous pension - we will contribute up to 8% (via salary exchange), and life assurance cover of 3x annual pensionable salary (T&Cs apply) Exclusive discounts and cashback via Reward Gateway and opportunity to buy a Blue Light Card Fully paid induction programme and further training ILM courses and Apprenticeship Programmes Cycle to work scheme Employee Assistance Programme for 24-7 confidential support Online wellbeing resources Quarterly Staff Awards to reward & recognise our amazing staff's commitment and contribution All applicants must be legally eligible to work in the UK by the start of employment as Look Ahead are not able to offer sponsorship. This is a fantastic opportunity for someone looking to start a career in Learning & Development and build experience across a busy, supportive L&D function. Working across the L&D team, you will support the administration, coordination and delivery of all Look Ahead's staff training and development programmes student placements, apprenticeships, Diversity & Inclusion and Wellbeing initiatives. You will coordinate workshops from enrolment through to completion, maintain training records, support internal communications to promote L&D activity and encourage high levels of engagement, attendance and compliance with all training and courses. Responsible for ensuring all information is accurate and up to date on the LMS platform (currently MyLearning). What you'll do: Training Courses/Programmes Schedule and manage training workshops and delegate communications Liaise with and maintain relationships with external training providers Process professional development applications and book delegates onto relevant in-house programmes or apprenticeships Keep all training information, materials and records updated across the business Administer and monitor attendance, completions and compliance requirements Maintain and update tracking and monitoring spreadsheets regularly Manage training facilities, equipment and room configuration Coordinate learning analytics and produce monthly reporting on attendance, completions and KPIs Manage the end-to-end induction process from booking new starters, marking attendance and deliver day 1 induction on a rota Share training evaluation feedback with trainers and identify areas for improvement Co-ordinate delegate lists for trainers and venues and joining instructions for learners weekly for upcoming training events Student Placements Respond to and process student and volunteer placement enquiries Provide guidance to potential applicants and ensure vetting compliance Maintain accurate tracking systems and provide monthly progress updates to managers Support with onboarding processes and coordination of relevant induction elements Liaise with internal and external stakeholders to ensure a consistent placement experience Apprenticeships Support the organisation and marketing of apprenticeships opportunities Monitor activity, attendance, milestones and qualification progress for recruited apprentices Maintain structured reporting and make recommendations for programme improvements Support attendance at job fairs, recruitment events or school/college events as required General Maintain L&D and Student Placement shared inboxes daily in line with Service Level Agreements (SLAs) Promote diversity, inclusion and Look Ahead's employer brand through internal communications, including Workplace and intranet posts Support the implementation of the Inclusion & Diversity Action Plan, Wellbeing initiatives and engagement feedback actions with the Recruitment, Training and Talent Manager Ensure all activity is compliant with health and safety requirements Seek feedback from stakeholders to identify opportunities for improvement Support People Team projects and organisational development work as required This is not an exhaustive list of all the duties and responsibilities that may be required from time to time and is subject to change in accordance with the needs of Look Ahead . About you: Organised with good attention to detail and able to prioritise effectively Keen to deliver a high level of customer focused service Responsive to queries and issues and able to come up with effective solutions that meet the business and customer needs Strong communicator who is able to easily build effective working relationships Adaptable and resilient under pressure Decisive and able to prioritise and manage multiple tasks Keen interest in Learning & Development Positive team player who is values driven and contributes to a supportive team culture and works in a collaborative way across the People team, the wider organisation and with stakeholders What you'll bring: Essential: Strong administrative and IT skills, including Microsoft Office Confident in using learning management systems or willing to learn Excellent communication and customer service skills Confident to facilitate induction training Comfortable producing reports, analysing data and maintaining spreadsheets Please see our jobs site for the full job description.
Join Childbase Partnership and be part of something extraordinary. Role: Qualified Nursery Practitioner (Level 2 or above). Location: Garsington Road Day Nursery Cowley, Oxford OX4 2DQ. Contract: Permanent 18-40 hours/week 52 weeks/year. Working pattern: Full and part-time options available of 2-5 days a week Shifts will fall between 07:30am-18:30pm. Salary: £29,473.60-£34,590.40 per annum (pro-rata) £13.00-£16.22 per hour. We've been delivering childcare excellence since 1989. Within our 44-day nurseries, Head Office, and Training Academy, EduBase, our ethos is simple: we all belong, we all matter, and we all contribute. We believe in ' careers, not jobs' , supporting one another to grow and succeed. Why join us? Generous annual leave : 23 days paid leave per annum (pro-rata), rising to 28 days with length of service, plus paid bank holidays. Work-life balance: Up to a further 20 paid days off each year through our Partnership Reward Days incentive; take your leave or sell the days you accrue, tax-free. Childcare discount : 75% discount (or 40% grandparent discount) on your fees at any Childbase nursery, from day one. Exclusive partner benefits : Long-service rewards, qualification bonuses and retail discounts. Wellbeing support: Free meals, mental health and occupational health support, flu jabs, eye care vouchers and a free will-writing service. Career development : Team inset days, access to online training and apprenticeships through our academy. About us We are employee-owned: Every colleague is a partner with a voice, who helps drive our success; when we do well, we each receive an annual tax-free dividend. We are number 1: Ranked top of the Nursery World league tables for our Ofsted outcomes. We are community driven : Supporting causes close to our hearts, we've raised more than £3.5 million for charity. We are environmentally responsible : Building a greener tomorrow our nurseries all hold Green Flag awards and are powered by 100% renewable energy. About you You are a qualified early years professional : You hold a DfE approved early years qualification at level 2 or above. You are skilled in creating opportunities for learning: Your knowledge of the EYFS will enable you to work as a Key Person, planning and implementing high quality, engaging activities that promote learning through play; observing, assessing and recording children's progress. You are an advocate for safeguarding: You will ensure every child feels safe, valued, and happy and their well-being is promoted. You are collaborative: You enjoy working in partnership with children, parents and colleagues, effectively communicating and building strong and positive relationships. We are an inclusive employer and we welcome applicants of all ages and backgrounds. We're committed to FREDIE ( fairness, respect, equality, diversity, inclusion, and engagement) and will consider any reasonable adjustments required. If you meet the essential criteria for this role, your application will be automatically shortlisted for review by our Recruitment Team who will determine if an interview is the next step. Applicants must currently reside within a commutable distance of the nursery and hold suitable Right to Work in the UK; VISA sponsorship is not available. Safer recruitment checks apply, which include an Enhanced DBS check. If you're not early years qualified, visit our Careers Page to explore other opportunities.
May 12, 2026
Full time
Join Childbase Partnership and be part of something extraordinary. Role: Qualified Nursery Practitioner (Level 2 or above). Location: Garsington Road Day Nursery Cowley, Oxford OX4 2DQ. Contract: Permanent 18-40 hours/week 52 weeks/year. Working pattern: Full and part-time options available of 2-5 days a week Shifts will fall between 07:30am-18:30pm. Salary: £29,473.60-£34,590.40 per annum (pro-rata) £13.00-£16.22 per hour. We've been delivering childcare excellence since 1989. Within our 44-day nurseries, Head Office, and Training Academy, EduBase, our ethos is simple: we all belong, we all matter, and we all contribute. We believe in ' careers, not jobs' , supporting one another to grow and succeed. Why join us? Generous annual leave : 23 days paid leave per annum (pro-rata), rising to 28 days with length of service, plus paid bank holidays. Work-life balance: Up to a further 20 paid days off each year through our Partnership Reward Days incentive; take your leave or sell the days you accrue, tax-free. Childcare discount : 75% discount (or 40% grandparent discount) on your fees at any Childbase nursery, from day one. Exclusive partner benefits : Long-service rewards, qualification bonuses and retail discounts. Wellbeing support: Free meals, mental health and occupational health support, flu jabs, eye care vouchers and a free will-writing service. Career development : Team inset days, access to online training and apprenticeships through our academy. About us We are employee-owned: Every colleague is a partner with a voice, who helps drive our success; when we do well, we each receive an annual tax-free dividend. We are number 1: Ranked top of the Nursery World league tables for our Ofsted outcomes. We are community driven : Supporting causes close to our hearts, we've raised more than £3.5 million for charity. We are environmentally responsible : Building a greener tomorrow our nurseries all hold Green Flag awards and are powered by 100% renewable energy. About you You are a qualified early years professional : You hold a DfE approved early years qualification at level 2 or above. You are skilled in creating opportunities for learning: Your knowledge of the EYFS will enable you to work as a Key Person, planning and implementing high quality, engaging activities that promote learning through play; observing, assessing and recording children's progress. You are an advocate for safeguarding: You will ensure every child feels safe, valued, and happy and their well-being is promoted. You are collaborative: You enjoy working in partnership with children, parents and colleagues, effectively communicating and building strong and positive relationships. We are an inclusive employer and we welcome applicants of all ages and backgrounds. We're committed to FREDIE ( fairness, respect, equality, diversity, inclusion, and engagement) and will consider any reasonable adjustments required. If you meet the essential criteria for this role, your application will be automatically shortlisted for review by our Recruitment Team who will determine if an interview is the next step. Applicants must currently reside within a commutable distance of the nursery and hold suitable Right to Work in the UK; VISA sponsorship is not available. Safer recruitment checks apply, which include an Enhanced DBS check. If you're not early years qualified, visit our Careers Page to explore other opportunities.
PE Teacher - Secondary School Job Type: Full-Time, Permanent PE Teacher Start Date: September Salary: MPS1 to MPS6 Inner London (dependent on experience) Location: Southeast London PE TEACHER/ ECTs ENCOURAGED TO APPLY Clarus Education is proud to be working with a thriving, inclusive secondary school in Southwark to recruit a dedicated and experienced PE Teacher for a full-time, permanent teaching role. This is an excellent opportunity for a passionate PE Teacher / Physical Education Specialist who is committed to delivering high-quality teaching and inspiring students across Key Stages 3, 4 & 5. The school is looking for a motivated professional who can promote physical fitness, teamwork, resilience, and student wellbeing. Key Responsibilities - PE Teacher As a Secondary PE Teacher, you will: Deliver engaging and effective PE lessons (KS3, KS4 & KS5) Plan, prepare, and assess in line with the UK National Curriculum Support student progress and attainment in core PE, GCSE PE & A-Level PE Promote healthy lifestyles, physical activity, and sports participation Manage behaviour effectively, ensuring a safe and inclusive learning environment Contribute to extracurricular activities, school sports clubs, and fixtures Work collaboratively within a PE department and wider school team Support whole-school initiatives focused on student wellbeing and enrichment Person Specification - PE Teacher The ideal candidate will: Hold Qualified Teacher Status (QTS) - essential Have proven experience teaching PE in a UK secondary school Demonstrate strong classroom management and behaviour management skills Be confident teaching a variety of sports, fitness, and physical activities Show a commitment to safeguarding, inclusion, and student development Be enthusiastic, organised, and a positive role model for young people What the School Offers Supportive leadership team and collaborative PE department Well-behaved, motivated, and engaged students Excellent sports facilities and PE resources Ongoing CPD and career progression opportunities A welcoming, diverse, and inclusive school community Apply - Physical Education Teacher (Southwark) If you are a qualified and experienced PE Teacher seeking a permanent teaching job in Southwark, we encourage you to apply today. Submit your CV to Clarus Education. Shortlisted candidates will be contacted within 48 hours. To apply for this PE Teacher, please get in touch today! We are recruiting for this PE Teacher role now and will be interviewing ASAP. We are dedicated to safeguarding and promoting the welfare of children and expect all staff to share this commitment for this PE Teacher role. As a PE Teacher, you will have a safeguarding responsibility if appointed. The successful PE Teacher candidate will be subject to enhanced clearance through the Disclosure and Barring Service, and employment will be subject to references. This PE Teacher post is not exempt from the Rehabilitation of Offenders Act 1974. Apply for this PE Teacher opportunity by sending your CV. You will be contacted (if shortlisted) for the Teacher of PE role within 48 hours. Please see our website page headed 'About' and scroll to the bottom to see our 'Privacy Notice' for an explanation about how we use information we collect about you for the role of PE Teacher. PE Teacher - Secondary School
May 12, 2026
Full time
PE Teacher - Secondary School Job Type: Full-Time, Permanent PE Teacher Start Date: September Salary: MPS1 to MPS6 Inner London (dependent on experience) Location: Southeast London PE TEACHER/ ECTs ENCOURAGED TO APPLY Clarus Education is proud to be working with a thriving, inclusive secondary school in Southwark to recruit a dedicated and experienced PE Teacher for a full-time, permanent teaching role. This is an excellent opportunity for a passionate PE Teacher / Physical Education Specialist who is committed to delivering high-quality teaching and inspiring students across Key Stages 3, 4 & 5. The school is looking for a motivated professional who can promote physical fitness, teamwork, resilience, and student wellbeing. Key Responsibilities - PE Teacher As a Secondary PE Teacher, you will: Deliver engaging and effective PE lessons (KS3, KS4 & KS5) Plan, prepare, and assess in line with the UK National Curriculum Support student progress and attainment in core PE, GCSE PE & A-Level PE Promote healthy lifestyles, physical activity, and sports participation Manage behaviour effectively, ensuring a safe and inclusive learning environment Contribute to extracurricular activities, school sports clubs, and fixtures Work collaboratively within a PE department and wider school team Support whole-school initiatives focused on student wellbeing and enrichment Person Specification - PE Teacher The ideal candidate will: Hold Qualified Teacher Status (QTS) - essential Have proven experience teaching PE in a UK secondary school Demonstrate strong classroom management and behaviour management skills Be confident teaching a variety of sports, fitness, and physical activities Show a commitment to safeguarding, inclusion, and student development Be enthusiastic, organised, and a positive role model for young people What the School Offers Supportive leadership team and collaborative PE department Well-behaved, motivated, and engaged students Excellent sports facilities and PE resources Ongoing CPD and career progression opportunities A welcoming, diverse, and inclusive school community Apply - Physical Education Teacher (Southwark) If you are a qualified and experienced PE Teacher seeking a permanent teaching job in Southwark, we encourage you to apply today. Submit your CV to Clarus Education. Shortlisted candidates will be contacted within 48 hours. To apply for this PE Teacher, please get in touch today! We are recruiting for this PE Teacher role now and will be interviewing ASAP. We are dedicated to safeguarding and promoting the welfare of children and expect all staff to share this commitment for this PE Teacher role. As a PE Teacher, you will have a safeguarding responsibility if appointed. The successful PE Teacher candidate will be subject to enhanced clearance through the Disclosure and Barring Service, and employment will be subject to references. This PE Teacher post is not exempt from the Rehabilitation of Offenders Act 1974. Apply for this PE Teacher opportunity by sending your CV. You will be contacted (if shortlisted) for the Teacher of PE role within 48 hours. Please see our website page headed 'About' and scroll to the bottom to see our 'Privacy Notice' for an explanation about how we use information we collect about you for the role of PE Teacher. PE Teacher - Secondary School
We are looking for a reliable, compassionate and safety focused Driver to support our day centre service. You will play a vital role in helping people attend and access our services by providing safe, comfortable and timely transport across Hammersmith and Fulham on a fixed term contract 31st August 2026. This is more than just a driving role, you will be a key part of ensuring people feel supported, respected and at ease throughout their journey. About you A confident and responsible driver with a valid licence suitable for minibus driving Experience working with older people or vulnerable groups Patient, caring and able to communicate clearly and respectfully Awareness of safety, safeguarding and risk management Able to work collaboratively with colleagues and volunteers Organised and able to manage your own workload effectively Key Responsibilities Transport clients safely to and from the day centre, as well as for outings, appointments and activities Operate the minibus and tail lift in line with training and safety procedures Work closely with the designated escort to ensure all passengers are safe, secure and comfortable Assist clients on and off the vehicle, including supporting those with mobility needs (e.g. wheelchairs, harnesses and clamps) Communicate effectively with clients and carers, understanding individual needs and providing a supportive experience Ensure full compliance with all legal, safety and operational requirements related to minibus driving Maintain accurate records and complete any required reporting About Alzheimer's Society Dementia is the UK's biggest killer. One in three people born in the UK today will develop dementia in their lifetime. At Alzheimer's Society, we're the UK's leading dementia charity and the only one to tackle all aspects of dementia by giving help and hope to people living with dementia today and in the future. We give vital support to people facing the most frightening times of their lives, while also funding groundbreaking research and campaigning to make dementia the priority it should be. Together with our supporters, we're working towards a world where dementia no longer devastates lives. Our values make sure that our focus is clear for the challenges and opportunities ahead and remind us of what we all stand for. Our commitment to Equity, Diversity, Inclusion & Belonging We need to ensure the voices around our table better reflect and understand the communities we exist to serve. We strongly encourage individuals to apply who have a disability, impairment or health condition or individuals who identify as Black, Asian or from another minority ethnic background, as these groups are currently under-represented at Alzheimer's Society. We want everyone we work with, as a colleague, volunteer, supporter, or someone we support, to feel included and that they belong at Alzheimer's Society. Our Equity, Diversity and Inclusion Strategy here along with our internal employee forum and Employee Lived Experience network groups help us promote inclusion and belonging, becoming an engaged and inclusive organisation for all our people. Our hiring process During your recruitment process we want to make sure that you bring your whole self and can be at your best. We are working hard to ensure our recruitment process is as inclusive as possible, so please do inform us of your experience and anything you think we could do better by completing our candidate survey when you apply. To ensure fairness and consistency to select the best candidate for this role, all our applications are anonymised up until an interview has been confirmed. We recognise the benefits of AI, but if you're considering using it to submit your application, we encourage you to reflect on the value it truly adds. AI tools often lack the personal touch and authenticity that set candidates apart. We want to hear your unique perspective, experiences, and skills, so we encourage you to showcase them in your own voice. We try to avoid closing roles early where possible, however if we receive a high volume of applications, we may close earlier than the advertised closing date. Should this occur, we will aim to provide you with at least 48 hours' notice. We are committed to safer recruitment and ensuring the welfare of those we work with, due to the nature of some of our roles, we might need to carry out a Criminal Record Check at the relevant level. You can read more information via our Website. Giving back to you Our employees work hard every day to make a true difference in people's lives. We are proud to support them with a range of benefits, recognition and many options for working agilely, all contributing to a strong work life balance. We also have various learning programmes to support you in your development and help you grow to realise your potential and shape a career with Alzheimer's Society. You can also visit our Working for Us pages, which give you more information about what it's like to be an employee at the Society.
May 11, 2026
Full time
We are looking for a reliable, compassionate and safety focused Driver to support our day centre service. You will play a vital role in helping people attend and access our services by providing safe, comfortable and timely transport across Hammersmith and Fulham on a fixed term contract 31st August 2026. This is more than just a driving role, you will be a key part of ensuring people feel supported, respected and at ease throughout their journey. About you A confident and responsible driver with a valid licence suitable for minibus driving Experience working with older people or vulnerable groups Patient, caring and able to communicate clearly and respectfully Awareness of safety, safeguarding and risk management Able to work collaboratively with colleagues and volunteers Organised and able to manage your own workload effectively Key Responsibilities Transport clients safely to and from the day centre, as well as for outings, appointments and activities Operate the minibus and tail lift in line with training and safety procedures Work closely with the designated escort to ensure all passengers are safe, secure and comfortable Assist clients on and off the vehicle, including supporting those with mobility needs (e.g. wheelchairs, harnesses and clamps) Communicate effectively with clients and carers, understanding individual needs and providing a supportive experience Ensure full compliance with all legal, safety and operational requirements related to minibus driving Maintain accurate records and complete any required reporting About Alzheimer's Society Dementia is the UK's biggest killer. One in three people born in the UK today will develop dementia in their lifetime. At Alzheimer's Society, we're the UK's leading dementia charity and the only one to tackle all aspects of dementia by giving help and hope to people living with dementia today and in the future. We give vital support to people facing the most frightening times of their lives, while also funding groundbreaking research and campaigning to make dementia the priority it should be. Together with our supporters, we're working towards a world where dementia no longer devastates lives. Our values make sure that our focus is clear for the challenges and opportunities ahead and remind us of what we all stand for. Our commitment to Equity, Diversity, Inclusion & Belonging We need to ensure the voices around our table better reflect and understand the communities we exist to serve. We strongly encourage individuals to apply who have a disability, impairment or health condition or individuals who identify as Black, Asian or from another minority ethnic background, as these groups are currently under-represented at Alzheimer's Society. We want everyone we work with, as a colleague, volunteer, supporter, or someone we support, to feel included and that they belong at Alzheimer's Society. Our Equity, Diversity and Inclusion Strategy here along with our internal employee forum and Employee Lived Experience network groups help us promote inclusion and belonging, becoming an engaged and inclusive organisation for all our people. Our hiring process During your recruitment process we want to make sure that you bring your whole self and can be at your best. We are working hard to ensure our recruitment process is as inclusive as possible, so please do inform us of your experience and anything you think we could do better by completing our candidate survey when you apply. To ensure fairness and consistency to select the best candidate for this role, all our applications are anonymised up until an interview has been confirmed. We recognise the benefits of AI, but if you're considering using it to submit your application, we encourage you to reflect on the value it truly adds. AI tools often lack the personal touch and authenticity that set candidates apart. We want to hear your unique perspective, experiences, and skills, so we encourage you to showcase them in your own voice. We try to avoid closing roles early where possible, however if we receive a high volume of applications, we may close earlier than the advertised closing date. Should this occur, we will aim to provide you with at least 48 hours' notice. We are committed to safer recruitment and ensuring the welfare of those we work with, due to the nature of some of our roles, we might need to carry out a Criminal Record Check at the relevant level. You can read more information via our Website. Giving back to you Our employees work hard every day to make a true difference in people's lives. We are proud to support them with a range of benefits, recognition and many options for working agilely, all contributing to a strong work life balance. We also have various learning programmes to support you in your development and help you grow to realise your potential and shape a career with Alzheimer's Society. You can also visit our Working for Us pages, which give you more information about what it's like to be an employee at the Society.
Join Childbase Partnership and be part of something extraordinary. Role: Team Leader (room-based) 2-3 year olds. Location: Sandfield Day Nursery Oxford OX3 7RH (on the John Radcliffe Hospital site). Contract: Permanent 37.5-40 hours/week 52 weeks/year. Working pattern: Varied shifts Monday-Friday between 07:00-18:30 Choose a 4 or 5 day week. Salary: £36,150.40-£36,878.40 per annum (pro-rata) £17.38-£17.73 per hour. We've been delivering childcare excellence since 1989. Within our 44-day nurseries, Head Office, and Training Academy, EduBase, our ethos is simple: we all belong, we all matter, and we all contribute. We believe in 'careers, not jobs', supporting one another to grow and succeed. Why join us? Generous annual leave: 23 days paid leave per annum (pro-rata), rising to 28 days with length of service, plus paid bank holidays. Work-life balance: Up to a further 20 paid days off each year through our Partnership Reward Days incentive; take your leave or sell the days you accrue, tax-free. Childcare discount: 75% discount (or 40% grandparent discount) on your fees at any Childbase nursery, from day one. Exclusive partner benefits: Long-service rewards, qualification bonuses and retail discounts. Wellbeing support: Free meals, mental health and occupational health support, flu jabs, eye care vouchers and a free will-writing service. Career development: Team inset days, access to online training and apprenticeships through our academy. About us We are employee-owned: Every colleague is a partner with a voice, who helps drive our success; when we do well, we each receive an annual tax-free dividend. We are number 1: Ranked top of the Nursery World league tables for our Ofsted outcomes. We are community driven: Supporting causes close to our hearts, we've raised more than £3.5 million for charity. We are environmentally responsible: Building a greener tomorrow our nurseries all hold Green Flag awards and are powered by 100% renewable energy. About you You are a qualified early years professional: You hold a DfE approved early years qualification at level 3 or above and have been working in an early years environment for the last couple of years or more. You are skilled in creating opportunities for learning: Your knowledge of the EYFS will enable you to work as a Key Person, planning and implementing high quality, engaging activities that promote learning through play; observing, assessing and recording children's progress. You are an advocate for safeguarding: You always ensure every child feels safe, valued, and happy and their well-being is promoted. You are a collaborative leader: You enjoy working in partnership with others, effectively communicating and building strong and positive relationships, and can empower your team to deliver outstanding care and to achieve their full potential. We are an inclusive employer and we welcome applicants of all ages and backgrounds. We're committed to FREDIE (fairness, respect, equality, diversity, inclusion, and engagement) and will consider any reasonable adjustments required. If you meet the essential criteria for this role, your application will be automatically shortlisted for review by our Recruitment Team who will determine if an interview is the next step. Applicants must currently reside within a commutable distance of the nursery and hold suitable Right to Work in the UK; VISA sponsorship is not available. Safer recruitment checks apply, which include an Enhanced DBS check. If you're not early years qualified, visit our Careers Page to explore other opportunities.
May 11, 2026
Full time
Join Childbase Partnership and be part of something extraordinary. Role: Team Leader (room-based) 2-3 year olds. Location: Sandfield Day Nursery Oxford OX3 7RH (on the John Radcliffe Hospital site). Contract: Permanent 37.5-40 hours/week 52 weeks/year. Working pattern: Varied shifts Monday-Friday between 07:00-18:30 Choose a 4 or 5 day week. Salary: £36,150.40-£36,878.40 per annum (pro-rata) £17.38-£17.73 per hour. We've been delivering childcare excellence since 1989. Within our 44-day nurseries, Head Office, and Training Academy, EduBase, our ethos is simple: we all belong, we all matter, and we all contribute. We believe in 'careers, not jobs', supporting one another to grow and succeed. Why join us? Generous annual leave: 23 days paid leave per annum (pro-rata), rising to 28 days with length of service, plus paid bank holidays. Work-life balance: Up to a further 20 paid days off each year through our Partnership Reward Days incentive; take your leave or sell the days you accrue, tax-free. Childcare discount: 75% discount (or 40% grandparent discount) on your fees at any Childbase nursery, from day one. Exclusive partner benefits: Long-service rewards, qualification bonuses and retail discounts. Wellbeing support: Free meals, mental health and occupational health support, flu jabs, eye care vouchers and a free will-writing service. Career development: Team inset days, access to online training and apprenticeships through our academy. About us We are employee-owned: Every colleague is a partner with a voice, who helps drive our success; when we do well, we each receive an annual tax-free dividend. We are number 1: Ranked top of the Nursery World league tables for our Ofsted outcomes. We are community driven: Supporting causes close to our hearts, we've raised more than £3.5 million for charity. We are environmentally responsible: Building a greener tomorrow our nurseries all hold Green Flag awards and are powered by 100% renewable energy. About you You are a qualified early years professional: You hold a DfE approved early years qualification at level 3 or above and have been working in an early years environment for the last couple of years or more. You are skilled in creating opportunities for learning: Your knowledge of the EYFS will enable you to work as a Key Person, planning and implementing high quality, engaging activities that promote learning through play; observing, assessing and recording children's progress. You are an advocate for safeguarding: You always ensure every child feels safe, valued, and happy and their well-being is promoted. You are a collaborative leader: You enjoy working in partnership with others, effectively communicating and building strong and positive relationships, and can empower your team to deliver outstanding care and to achieve their full potential. We are an inclusive employer and we welcome applicants of all ages and backgrounds. We're committed to FREDIE (fairness, respect, equality, diversity, inclusion, and engagement) and will consider any reasonable adjustments required. If you meet the essential criteria for this role, your application will be automatically shortlisted for review by our Recruitment Team who will determine if an interview is the next step. Applicants must currently reside within a commutable distance of the nursery and hold suitable Right to Work in the UK; VISA sponsorship is not available. Safer recruitment checks apply, which include an Enhanced DBS check. If you're not early years qualified, visit our Careers Page to explore other opportunities.
The Youth Endowment Fund Senior Change Manager, Children s Services Reports to: Head of Change, Children s Services Salary: £54,300 per annum, depending on experience Location: Central London or Hybrid (see below) Contract: 2-year fixed term contract Closing date for applications: 12 pm on Monday, 1st June 2026 Interview dates: Week commencing 15th June 2026 About the Youth Endowment Fund All of us will experience violence at some point in our lives. For many children, it is a daily reality. Each year, tens of children are killed, hundreds are hospitalised, 1 in 5 teenage children are victims and the majority admit to feeling afraid of violence. It scares them when they travel home from school, prevents them from going out and makes the most vulnerable feel like they don t matter. It is taking lives, traumatising families and dividing communities. It robs potential, progress and hope. But it doesn t have to be this way. The Youth Endowment Fund believes that no child should be affected by violence. We research violence to understand it; we find, fund and test what works to prevent it; and we are building a movement to end it. A big part of the movement that we need to build is in the world of children s services. We need to inspire and connect with senior leaders in England and Wales to spread what works and make our country safer for some of our most vulnerable children. We need someone who can deliver this whilst understanding and working within the context of the major sector reforms that are currently being delivered via the Families First Partnership programme. Key Responsibilities We are at an exciting moment in our work. In June we will publish our children s services practice guidance, setting out the evidence for what works to reduce serious youth violence in the children s services sector. We have plans to work with the sector over the rest of the financial year and beyond, including designing a self-assessment tool to help senior sector leaders benchmark their existing practice against the evidence. We will also launch a new change programme, working hand-in-hand with the sector to implement the evidence for what works, gaining valuable insights in the process. Your role is to help us turn these plans into a reality. This will include launching the self-assessment tool and promoting its use within the sector. It will also involve planning, designing and delivering the change programme to turn the theory into reality. You will also contribute by designing and delivering a range of sector engagement activities, such as webinars, events and learning opportunities, that reach the sector, helping to build momentum, understanding and commitment across children s services. Lastly, you will support the Head of Change for Children s Services with government engagement as required and support the establishment of a new network for senior sector leaders to share the latest evidence and best practice. Key responsibilities will include: Supporting the launch and roll-out of the children s services self-assessment tool, driving up demand and ensuring widespread completion of the tool across the sector; Work hands-on with Local Authorities to help them put evidence into practice via our change programme; planning, delivering and learning as the work continues; Continuously capture and act on learning from the self-assessment tool and deep dive change programme to inform future work; Supporting the design and roll-out of a children s services network to spread learning of what works to reduce serious youth violence; Spend time genuinely understanding the pressures, priorities and constraints facing children s services leaders to inform our longer-term approach to change. As part of your wider contribution to the organisation, you will also: Build a culture where it is natural to perform well and support colleagues brilliantly. Contribute to setting the strategy, delivering results and building and modelling the culture that we need to succeed. You are this sort of person: You are fascinated about change and are experienced in making it happen. You have outstanding analytical judgment alongside the emotional intelligence and experience needed to identify the right opportunities for change, then make them happen. You understand why people find change difficult. You come alive talking about how people make decisions and why they do the things they do. You understand the children s services sector. You understand how the sector really works. This could include experience of working with/supporting senior sector leaders to facilitate change and improvement that improves the lives of young people. You win people over. People tend to warm to you and respect you. You have built good relationships with very senior people and with very junior people. You are good at chairing meetings, connecting people and having good introductory meetings. You are comfortable talking to a government minister, a youth worker, a company CEO, a social worker and a 15-year-old student. Listening to people from all backgrounds matters to you. You have experience of developing resources which support children s services. You understand and take a curious approach to learning about the needs of sector leaders. You are able to skilfully translate these insights into helpful resources and tools which support leaders to improve practice. You learn fast but remain humble. You are very quick at getting your head around things. You like learning. You are very good at synthesising information. You know how much you don't know. You know that you can learn more. You know that it's easy to assume you know when you don't. You care more that good things happen than who gets the credit. You are a great and supportive team player. You don't want your days to pass without making a difference. You want to play a significant part in reducing violence. You understand young people. You understand what the lives of vulnerable young people can be like, and you understand some of the organisations that work with them, ideally through first-hand experience. You are committed to equality, diversity and inclusion. You must have this sort of experience Delivering positive change within children s services: Youhave significant experience of working with sector leaders to support the development and improvement of practice. While it s not a criteria, we re especially interested to hear from applicants who have lived experience of violence affecting children and young people. It s also important to us that the people we hire do not discriminate. We believe in being inclusive and giving everyone an equal chance to succeed. Applications are welcome from all regardless of age, sex, gender identity, disability, marriage or civil partnership, pregnancy and maternity, religion or belief, race, sexual orientation, transgender status or social economic background. All appointments will be made on merit, following a fair and transparent process. In line with the Equality Act 2010, however, the organisation may employ positive action where candidates from underrepresented groups can demonstrate their ability to perform the role equally well. Hybrid Working The office is based in Central London. Those living in and around London are expected to be in the office a minimum of 2 days per week. If you live outside of London and work remotely, you ll be expected to work from the London office 2 days per month. To Apply Please click on the "Apply for this" button and submit your CV, your completed monitoring form and ensure your covering letter answers the following three questions below. Please submit your application by Monday 1st June 2026 at 12pm. Application Questions How have you used evidence to deliver effective change and improve outcomes? How did you gather and use the evidence and influence senior leaders to act differently? Describe your experience and understanding of working in or with the children s services sector, in particular working with senior sector leaders. Please be specific about the context and impact you made. What personal and professional experiences shape your understanding of the children s services sector and its role in preventing youth violence? As part of our commitment to flexible working we will consider a range of options for the successful applicant. All options can be discussed at the interview stage. Interview Process This will be a two-stage interview process. Interviews will take place the week of 15th June 2025. Please Note: We do not sponsor work permits and you will be required to provide proof of your eligibility to work in the UK. Benefits Include £1,000 professional development budget annually 25 days annual leave, 3 days end of year shut down, plus Bank Holidays Four half days for volunteering activities . click apply for full job details
May 11, 2026
Full time
The Youth Endowment Fund Senior Change Manager, Children s Services Reports to: Head of Change, Children s Services Salary: £54,300 per annum, depending on experience Location: Central London or Hybrid (see below) Contract: 2-year fixed term contract Closing date for applications: 12 pm on Monday, 1st June 2026 Interview dates: Week commencing 15th June 2026 About the Youth Endowment Fund All of us will experience violence at some point in our lives. For many children, it is a daily reality. Each year, tens of children are killed, hundreds are hospitalised, 1 in 5 teenage children are victims and the majority admit to feeling afraid of violence. It scares them when they travel home from school, prevents them from going out and makes the most vulnerable feel like they don t matter. It is taking lives, traumatising families and dividing communities. It robs potential, progress and hope. But it doesn t have to be this way. The Youth Endowment Fund believes that no child should be affected by violence. We research violence to understand it; we find, fund and test what works to prevent it; and we are building a movement to end it. A big part of the movement that we need to build is in the world of children s services. We need to inspire and connect with senior leaders in England and Wales to spread what works and make our country safer for some of our most vulnerable children. We need someone who can deliver this whilst understanding and working within the context of the major sector reforms that are currently being delivered via the Families First Partnership programme. Key Responsibilities We are at an exciting moment in our work. In June we will publish our children s services practice guidance, setting out the evidence for what works to reduce serious youth violence in the children s services sector. We have plans to work with the sector over the rest of the financial year and beyond, including designing a self-assessment tool to help senior sector leaders benchmark their existing practice against the evidence. We will also launch a new change programme, working hand-in-hand with the sector to implement the evidence for what works, gaining valuable insights in the process. Your role is to help us turn these plans into a reality. This will include launching the self-assessment tool and promoting its use within the sector. It will also involve planning, designing and delivering the change programme to turn the theory into reality. You will also contribute by designing and delivering a range of sector engagement activities, such as webinars, events and learning opportunities, that reach the sector, helping to build momentum, understanding and commitment across children s services. Lastly, you will support the Head of Change for Children s Services with government engagement as required and support the establishment of a new network for senior sector leaders to share the latest evidence and best practice. Key responsibilities will include: Supporting the launch and roll-out of the children s services self-assessment tool, driving up demand and ensuring widespread completion of the tool across the sector; Work hands-on with Local Authorities to help them put evidence into practice via our change programme; planning, delivering and learning as the work continues; Continuously capture and act on learning from the self-assessment tool and deep dive change programme to inform future work; Supporting the design and roll-out of a children s services network to spread learning of what works to reduce serious youth violence; Spend time genuinely understanding the pressures, priorities and constraints facing children s services leaders to inform our longer-term approach to change. As part of your wider contribution to the organisation, you will also: Build a culture where it is natural to perform well and support colleagues brilliantly. Contribute to setting the strategy, delivering results and building and modelling the culture that we need to succeed. You are this sort of person: You are fascinated about change and are experienced in making it happen. You have outstanding analytical judgment alongside the emotional intelligence and experience needed to identify the right opportunities for change, then make them happen. You understand why people find change difficult. You come alive talking about how people make decisions and why they do the things they do. You understand the children s services sector. You understand how the sector really works. This could include experience of working with/supporting senior sector leaders to facilitate change and improvement that improves the lives of young people. You win people over. People tend to warm to you and respect you. You have built good relationships with very senior people and with very junior people. You are good at chairing meetings, connecting people and having good introductory meetings. You are comfortable talking to a government minister, a youth worker, a company CEO, a social worker and a 15-year-old student. Listening to people from all backgrounds matters to you. You have experience of developing resources which support children s services. You understand and take a curious approach to learning about the needs of sector leaders. You are able to skilfully translate these insights into helpful resources and tools which support leaders to improve practice. You learn fast but remain humble. You are very quick at getting your head around things. You like learning. You are very good at synthesising information. You know how much you don't know. You know that you can learn more. You know that it's easy to assume you know when you don't. You care more that good things happen than who gets the credit. You are a great and supportive team player. You don't want your days to pass without making a difference. You want to play a significant part in reducing violence. You understand young people. You understand what the lives of vulnerable young people can be like, and you understand some of the organisations that work with them, ideally through first-hand experience. You are committed to equality, diversity and inclusion. You must have this sort of experience Delivering positive change within children s services: Youhave significant experience of working with sector leaders to support the development and improvement of practice. While it s not a criteria, we re especially interested to hear from applicants who have lived experience of violence affecting children and young people. It s also important to us that the people we hire do not discriminate. We believe in being inclusive and giving everyone an equal chance to succeed. Applications are welcome from all regardless of age, sex, gender identity, disability, marriage or civil partnership, pregnancy and maternity, religion or belief, race, sexual orientation, transgender status or social economic background. All appointments will be made on merit, following a fair and transparent process. In line with the Equality Act 2010, however, the organisation may employ positive action where candidates from underrepresented groups can demonstrate their ability to perform the role equally well. Hybrid Working The office is based in Central London. Those living in and around London are expected to be in the office a minimum of 2 days per week. If you live outside of London and work remotely, you ll be expected to work from the London office 2 days per month. To Apply Please click on the "Apply for this" button and submit your CV, your completed monitoring form and ensure your covering letter answers the following three questions below. Please submit your application by Monday 1st June 2026 at 12pm. Application Questions How have you used evidence to deliver effective change and improve outcomes? How did you gather and use the evidence and influence senior leaders to act differently? Describe your experience and understanding of working in or with the children s services sector, in particular working with senior sector leaders. Please be specific about the context and impact you made. What personal and professional experiences shape your understanding of the children s services sector and its role in preventing youth violence? As part of our commitment to flexible working we will consider a range of options for the successful applicant. All options can be discussed at the interview stage. Interview Process This will be a two-stage interview process. Interviews will take place the week of 15th June 2025. Please Note: We do not sponsor work permits and you will be required to provide proof of your eligibility to work in the UK. Benefits Include £1,000 professional development budget annually 25 days annual leave, 3 days end of year shut down, plus Bank Holidays Four half days for volunteering activities . click apply for full job details
Look Ahead Care Support and Housing
Kensington And Chelsea, London
We're looking for a kind, compassionate and resilient Support Worker to join our Homelessness Social Care Service in Kensington & Chelsea. 1x SW (Scattered sites) working pattern 9am - 5pm Monday-Friday. 1x SW (Warwick Road) rolling Rota. 8am - 4pm & 1pm - 9pm plus weekends. £30,784.00 per annum, working 40 hours per week. Our benefits include: Annual leave increasing up to 30 days with length of service Free DBS A generous pension - we will contribute up to 8% and life assurance cover up to £3x pensionable salary (T&Cs apply) Quarterly Staff Awards to reward & recognise our amazing staff's commitment and contribution All applicants must be legally eligible to work in the UK by the start of employment as Look Ahead are not able to offer sponsorship. What you'll do: Undertake key-working responsibilities for a caseload assigned by the Team Leader / Manager Undertake initial and continuous assessment of needs and potential risks and agree levels of support and actions Create support/action plans for providing appropriate services based on the assessment and reflecting the services and resources available Support customers to undertake all domestic tasks wherever possible, including practical assistance where they have not yet developed the skills, to ensure customers enjoy a high quality of accommodation This is not an exhaustive list of all the duties and responsibilities that may be required from time to time and is subject to change in accordance with the needs of Look Ahead About you: Enjoys social interaction and the company of others, joins in local activities to encourage customer involvement Approachable and open behaviour Prefers working as part of a group or team Is fundamentally calm and resilient, does not let emotion adversely affect them or obscure their judgement What you'll bring: Desirable: Up to NVQ Level 2/3 or equivalent or experience in the social care/charity sector. About us: Look Ahead is a leading, not-for-profit care and support provider in London and the South East. Our vision is to build better lives through social care and housing in local communities. As an organisation we deliver over 100 services, providing support to thousands of customers each year. Our mission is to co-design and deliver services that offer innovative social care solutions and support people to thrive. We work across mental health, homelessness and complex needs, young people and care leavers and learning disabilities so there are plenty of opportunities to grow and progress your career with us. We have a strong social purpose and we live and work by our values: We focus on Excellence and innovation. We are Caring and Compassionate. We are Inclusive and Trusted. We work in Partnership and are One-Team. Look Ahead is committed to safeguarding and promoting the welfare of children and adults at risk, and expects all employees, workers and volunteers to share this commitment. If your application for this role is unsuccessful, but we feel that you would be suitable for another role, we may contact you to discuss alternative opportunities. If this occurs you would not need to submit another application for the alternative role. We reserve the right to close this advert early if we are able to appoint to the vacancy before the advertised closed date. We are committed to diversity and inclusion at work and are accredited with Silver in the Inclusive Employers Standard 2021. We are a proud member of the Employers Domestic Abuse Covenant and encourage applications from a diverse range of applicants of all backgrounds
May 11, 2026
Full time
We're looking for a kind, compassionate and resilient Support Worker to join our Homelessness Social Care Service in Kensington & Chelsea. 1x SW (Scattered sites) working pattern 9am - 5pm Monday-Friday. 1x SW (Warwick Road) rolling Rota. 8am - 4pm & 1pm - 9pm plus weekends. £30,784.00 per annum, working 40 hours per week. Our benefits include: Annual leave increasing up to 30 days with length of service Free DBS A generous pension - we will contribute up to 8% and life assurance cover up to £3x pensionable salary (T&Cs apply) Quarterly Staff Awards to reward & recognise our amazing staff's commitment and contribution All applicants must be legally eligible to work in the UK by the start of employment as Look Ahead are not able to offer sponsorship. What you'll do: Undertake key-working responsibilities for a caseload assigned by the Team Leader / Manager Undertake initial and continuous assessment of needs and potential risks and agree levels of support and actions Create support/action plans for providing appropriate services based on the assessment and reflecting the services and resources available Support customers to undertake all domestic tasks wherever possible, including practical assistance where they have not yet developed the skills, to ensure customers enjoy a high quality of accommodation This is not an exhaustive list of all the duties and responsibilities that may be required from time to time and is subject to change in accordance with the needs of Look Ahead About you: Enjoys social interaction and the company of others, joins in local activities to encourage customer involvement Approachable and open behaviour Prefers working as part of a group or team Is fundamentally calm and resilient, does not let emotion adversely affect them or obscure their judgement What you'll bring: Desirable: Up to NVQ Level 2/3 or equivalent or experience in the social care/charity sector. About us: Look Ahead is a leading, not-for-profit care and support provider in London and the South East. Our vision is to build better lives through social care and housing in local communities. As an organisation we deliver over 100 services, providing support to thousands of customers each year. Our mission is to co-design and deliver services that offer innovative social care solutions and support people to thrive. We work across mental health, homelessness and complex needs, young people and care leavers and learning disabilities so there are plenty of opportunities to grow and progress your career with us. We have a strong social purpose and we live and work by our values: We focus on Excellence and innovation. We are Caring and Compassionate. We are Inclusive and Trusted. We work in Partnership and are One-Team. Look Ahead is committed to safeguarding and promoting the welfare of children and adults at risk, and expects all employees, workers and volunteers to share this commitment. If your application for this role is unsuccessful, but we feel that you would be suitable for another role, we may contact you to discuss alternative opportunities. If this occurs you would not need to submit another application for the alternative role. We reserve the right to close this advert early if we are able to appoint to the vacancy before the advertised closed date. We are committed to diversity and inclusion at work and are accredited with Silver in the Inclusive Employers Standard 2021. We are a proud member of the Employers Domestic Abuse Covenant and encourage applications from a diverse range of applicants of all backgrounds
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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
May 11, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
A senior role that sits at the heart of our mission, turning empty and underused buildings into safe, dignified places to live through our Empty Spaces to Homes programme. Habitat for Humanity Great Britain (Habitat GB) is part of the global Habitat for Humanity Federation fighting global poverty and homelessness. We believe that a decent home helps to permanently break the cycle of poverty and allows families to achieve strength, stability, and self-reliance. Job Purpose The Head of Construction (Feasibility & Delivery) is a leadership and technical role responsible for the end-to-end development, delivery and stewardship of Habitat GB s construction and property portfolio. Key responsibilities include strategic planning and technical leadership for core aspects of Habitat GB s domestic programme, such as the construction project pipeline associated with our Empty Spaces to Homes (ES2H) programme. The postholder will lead the feasibility, design, costing, procurement and delivery of demonstration construction projects, primarily the conversion of empty commercial and retail buildings into high-quality, affordable homes, while also ensuring the safe, compliant operation and maintenance of HFHGB-owned, leased and operated properties, including ReStore sites. The Head of Construction (Feasibility & Delivery) is also responsible for the people management of staff, contractors and consultants and (where relevant) volunteers. Key areas of risk management that sit within the portfolio of this role include project and site health & safety, compliance and asset maintenance. This role is central to translating Habitat GB s mission and strategy into high-quality, buildable, scalable projects that maximise social impact. Key Accountabilities/Responsibilities Construction & Programme Delivery • Lead the planning, design and delivery of Habitat GB s demonstration construction projects within the ES2H programme. • Contribute technical leadership to programme strategy, performance monitoring, evaluation and learning. • Work collaboratively with other ES2H workstreams (Advocacy, Research, Scalability) to ensure projects inform and support wider systems change. • Provide expert construction input into organisational decision-making, risk management, and strategy implementation. Building Pipeline Development & Feasibility Lead the identification, assessment and prioritisation of potential conversion opportunities across Great Britain. Conduct frequent site visits to assess empty or underutilised commercial buildings. Undertake and/or oversee: Building diagnostics and technical surveys Early identification of structural, asbestos, planning, fire and compliance risks Location-based risk profiling (logistics, supply chains, neighbourhood constraints) Act as the organisation s technical authority on building viability and conversion risk. Design, Specification & Cost Leadership Develop initial design concepts, spatial layouts and performance specifications that balance cost efficiency, compliance, buildability and the dignity of residents. Ensure all designs meet relevant statutory and organisational requirements, including: UK Building Regulations Fire safety and CDM 2015 Sustainability and environmental standards Provide client side cost leadership and quantity surveying oversight across projects, including: Preparing feasibility cost models, early stage estimates and robust construction budgets Assessing and benchmarking contractor quotations and negotiating best value outcomes aligned with charitable objectives Maintaining effective cost control and financial visibility throughout delivery Lead the appointment and management of architects, planning consultants and specialist technical advisors as required. Construction Delivery, Contractor & Site Management Identify, appoint and manage contractors, subcontractors and consultants on a project-by-project basis. Ensure projects are delivered: safely; to specification; on time and within approved budgets Combine on-site leadership with remote project management, using digital tools, dashboards and reporting systems. Maintain a national overview of live and pipeline projects, providing the Executive Team with clear, real-time updates on milestones, risks, spend and cashflow, and delivery confidence. Health, Safety & Risk Management Be responsible for Health & Safety across Habitat GB s construction and property portfolio. Ensure full compliance with relevant legislation, including CDM 2015. Oversee: Risk assessments and method statements (RAMS) Training and inductions Incident reporting and corrective actions Ensure a strong safety culture across construction sites and property sites, working closely with the Site & Property Maintenance Officer to delivery their responsibilities successfully and safely. Work with colleagues to ensure appropriate insurances are in place. Financial Management & Reporting Own construction and maintenance budgets, ensuring strong financial control and value for money. Lead procurement processes for works, materials, and equipment. Work closely with Finance to ensure accurate forecasting, cost tracking, and timely payment of invoices. Maintain robust project management tools, trackers, schedules, and cost sheets. Provide regular input into organisational performance reporting, risk registers, and assurance processes. People Leadership & Culture Line-manage and support direct reports, setting clear objectives, and providing regular supervision and development. Lead, motivate, and develop a high-performing, values-driven team and contractor network. Ensure good practice management of consultants, contractors and volunteers. Role model Habitat GB s values, including commitment to equity, diversity, inclusion and safeguarding. Person profile: Extensive experience in UK construction project management, particularly refurbishment and conversion projects, with responsibility spanning early feasibility through to delivery. Strong technical understanding of: • UK Building Regulations and fire safety requirements • Permitted Development rights and planning constraints • Health & Safety management, including CDM 2015 Strong client side commercial judgement, with proven ability to develop feasibility cost models, set and manage construction budgets, and maintain effective cost control across projects. Demonstrated experience appointing and managing contractors, consultants and procurement processes to deliver best value outcomes. Strong leadership and people management experience, including the ability to lead teams, contractors and consultants with credibility and clarity. Relevant construction or built environment qualification, or equivalent senior professional experience (e.g. MCIOB, MRICS or similar). Valid CSCS card. Recognised Health & Safety qualification (e.g. IOSH or SMSTS). Full UK driving licence. Skills and competencies: Technically confident and commercially astute, with the ability to exercise sound professional judgement and make high-quality decisions in complex or ambiguous situations. Comfortable operating across strategic leadership and hands-on problem solving, particularly within refurbishment and conversion projects. Highly organised, with the ability to prioritise effectively across multiple concurrent workstreams, sites and geographies. Confident and collaborative communicator, able to work productively with internal teams, partners, volunteers, contractors and external stakeholders. Willing and able to travel extensively across Great Britain in support of project development and delivery. To apply for the role , please send us your CV and a supporting statement (max two sides of A4) telling us about the skills and experience you would bring to the role and your motivation for applying, using the link on our website. Closing date is Monday 25th May 2026.
May 11, 2026
Full time
A senior role that sits at the heart of our mission, turning empty and underused buildings into safe, dignified places to live through our Empty Spaces to Homes programme. Habitat for Humanity Great Britain (Habitat GB) is part of the global Habitat for Humanity Federation fighting global poverty and homelessness. We believe that a decent home helps to permanently break the cycle of poverty and allows families to achieve strength, stability, and self-reliance. Job Purpose The Head of Construction (Feasibility & Delivery) is a leadership and technical role responsible for the end-to-end development, delivery and stewardship of Habitat GB s construction and property portfolio. Key responsibilities include strategic planning and technical leadership for core aspects of Habitat GB s domestic programme, such as the construction project pipeline associated with our Empty Spaces to Homes (ES2H) programme. The postholder will lead the feasibility, design, costing, procurement and delivery of demonstration construction projects, primarily the conversion of empty commercial and retail buildings into high-quality, affordable homes, while also ensuring the safe, compliant operation and maintenance of HFHGB-owned, leased and operated properties, including ReStore sites. The Head of Construction (Feasibility & Delivery) is also responsible for the people management of staff, contractors and consultants and (where relevant) volunteers. Key areas of risk management that sit within the portfolio of this role include project and site health & safety, compliance and asset maintenance. This role is central to translating Habitat GB s mission and strategy into high-quality, buildable, scalable projects that maximise social impact. Key Accountabilities/Responsibilities Construction & Programme Delivery • Lead the planning, design and delivery of Habitat GB s demonstration construction projects within the ES2H programme. • Contribute technical leadership to programme strategy, performance monitoring, evaluation and learning. • Work collaboratively with other ES2H workstreams (Advocacy, Research, Scalability) to ensure projects inform and support wider systems change. • Provide expert construction input into organisational decision-making, risk management, and strategy implementation. Building Pipeline Development & Feasibility Lead the identification, assessment and prioritisation of potential conversion opportunities across Great Britain. Conduct frequent site visits to assess empty or underutilised commercial buildings. Undertake and/or oversee: Building diagnostics and technical surveys Early identification of structural, asbestos, planning, fire and compliance risks Location-based risk profiling (logistics, supply chains, neighbourhood constraints) Act as the organisation s technical authority on building viability and conversion risk. Design, Specification & Cost Leadership Develop initial design concepts, spatial layouts and performance specifications that balance cost efficiency, compliance, buildability and the dignity of residents. Ensure all designs meet relevant statutory and organisational requirements, including: UK Building Regulations Fire safety and CDM 2015 Sustainability and environmental standards Provide client side cost leadership and quantity surveying oversight across projects, including: Preparing feasibility cost models, early stage estimates and robust construction budgets Assessing and benchmarking contractor quotations and negotiating best value outcomes aligned with charitable objectives Maintaining effective cost control and financial visibility throughout delivery Lead the appointment and management of architects, planning consultants and specialist technical advisors as required. Construction Delivery, Contractor & Site Management Identify, appoint and manage contractors, subcontractors and consultants on a project-by-project basis. Ensure projects are delivered: safely; to specification; on time and within approved budgets Combine on-site leadership with remote project management, using digital tools, dashboards and reporting systems. Maintain a national overview of live and pipeline projects, providing the Executive Team with clear, real-time updates on milestones, risks, spend and cashflow, and delivery confidence. Health, Safety & Risk Management Be responsible for Health & Safety across Habitat GB s construction and property portfolio. Ensure full compliance with relevant legislation, including CDM 2015. Oversee: Risk assessments and method statements (RAMS) Training and inductions Incident reporting and corrective actions Ensure a strong safety culture across construction sites and property sites, working closely with the Site & Property Maintenance Officer to delivery their responsibilities successfully and safely. Work with colleagues to ensure appropriate insurances are in place. Financial Management & Reporting Own construction and maintenance budgets, ensuring strong financial control and value for money. Lead procurement processes for works, materials, and equipment. Work closely with Finance to ensure accurate forecasting, cost tracking, and timely payment of invoices. Maintain robust project management tools, trackers, schedules, and cost sheets. Provide regular input into organisational performance reporting, risk registers, and assurance processes. People Leadership & Culture Line-manage and support direct reports, setting clear objectives, and providing regular supervision and development. Lead, motivate, and develop a high-performing, values-driven team and contractor network. Ensure good practice management of consultants, contractors and volunteers. Role model Habitat GB s values, including commitment to equity, diversity, inclusion and safeguarding. Person profile: Extensive experience in UK construction project management, particularly refurbishment and conversion projects, with responsibility spanning early feasibility through to delivery. Strong technical understanding of: • UK Building Regulations and fire safety requirements • Permitted Development rights and planning constraints • Health & Safety management, including CDM 2015 Strong client side commercial judgement, with proven ability to develop feasibility cost models, set and manage construction budgets, and maintain effective cost control across projects. Demonstrated experience appointing and managing contractors, consultants and procurement processes to deliver best value outcomes. Strong leadership and people management experience, including the ability to lead teams, contractors and consultants with credibility and clarity. Relevant construction or built environment qualification, or equivalent senior professional experience (e.g. MCIOB, MRICS or similar). Valid CSCS card. Recognised Health & Safety qualification (e.g. IOSH or SMSTS). Full UK driving licence. Skills and competencies: Technically confident and commercially astute, with the ability to exercise sound professional judgement and make high-quality decisions in complex or ambiguous situations. Comfortable operating across strategic leadership and hands-on problem solving, particularly within refurbishment and conversion projects. Highly organised, with the ability to prioritise effectively across multiple concurrent workstreams, sites and geographies. Confident and collaborative communicator, able to work productively with internal teams, partners, volunteers, contractors and external stakeholders. Willing and able to travel extensively across Great Britain in support of project development and delivery. To apply for the role , please send us your CV and a supporting statement (max two sides of A4) telling us about the skills and experience you would bring to the role and your motivation for applying, using the link on our website. Closing date is Monday 25th May 2026.
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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
May 11, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
May 11, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
May 11, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
May 11, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
May 11, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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.
May 11, 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 Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
May 11, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
May 11, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. 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.
May 11, 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 Principal 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. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
May 11, 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.
