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We put wellbeing first by giving our teams more time to recharge Job Title: SEN Teacher Location: Hillingdon Manor School, Uxbridge UB8 3HD Hours: 38.5 hours per week | Monday to Friday Salary: Up to £50,000 per annum (depending on experience, not pro rata) Contract: Permanent | Term Time Only Start: May 2026 UK applicants only – no sponsorship available About the Role As part of our continued growth, we are seeking an experienced SEN Teacher to join our dedicated and supportive team at Hillingdon Manor School. In this rewarding role, you will deliver a high-quality, inclusive education tailored to meet the diverse needs of our students. Working collaboratively with colleagues and multi-disciplinary professionals, you will help create a safe, engaging, and nurturing learning environment where every student is supported to make meaningful academic, social, and emotional progress. Key Responsibilities • Plan, deliver, and evaluate teaching for individuals and small groups in line with the school curriculum and policies, • Monitor, assess, and report on student progress, using outcomes to inform planning and next steps, • Coordinate teaching, assessment, recording, and reporting across agreed subjects and key stages, • Develop, implement, and review individual education, behaviour, and support plans in collaboration with colleagues, • Create a stimulating, well-organised learning environment that meets the needs of all students, • Promote students’ physical, educational, social, and moral development in line with school values We’re looking for someone who is: • Qualified: UK QTS or equivalent, with a relevant degree, • Experienced: Strong understanding of SEN, including ASC, learning difficulties, and complex needs, • Compassionate & Resilient: Able to build trusting relationships with pupils who may have faced significant challenges, • Collaborative: A clear communicator who thrives in a team environment Hillingdon Manor is an independent specialist school for autistic pupils aged 11 to 19, spread across two vibrant sites. We offer a personalised, autism-specific education that nurtures each pupil’s strengths and abilities, with an adapted curriculum designed to meet individual needs and help students achieve their full potential. Guided by our core values — Ready, Respectful, and Safe — we create a positive and supportive learning environment. Our secondary provision supports around 125 students, taught in smaller class sizes, with qualifications tailored to their needs and abilities. Our aim is to provide the right level of support to unlock each pupil’s potential, enabling them to live fulfilling and productive lives. Students are given as much freedom as possible within a safe, supervised environment, supported by a dedicated team of passionate and understanding professionals. For over 19 years, Options Autism has provided specialist care and education for children, young people, and adults with autism, complex needs, and learning difficulties. As part of Outcomes First Group, we are pioneering innovative, evidence-based approaches that deliver meaningful, measurable outcomes for everyone in our care. We are really proud to say that in 2025 Outcomes First Group were officially certified as a ‘Great Place to Work’ for the sixth year running. Why Join Us? We place pupils and vulnerable young adults at the heart of everything we do, so every day brings the satisfaction of making a real difference. We are committed to the safeguarding and promoting the welfare of pupils and young people. All applicants will be subject to social media checks and successful applicants to a fully enhanced DBS. • Life Assurance, • Pension scheme with options to increase contributions, • “Your Wellbeing Matters” – mental health support and physical health checks, • Flexible Benefits Platform (Vista), including:, • Health, wellbeing and insurance benefits, • Hundreds of UK and international discounts, • Cycle to Work Scheme & Electric Car Purchase Scheme, • Critical illness cover Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales. #1

Are you looking for an employer who can offer you opportunities for growth and development in your occupational therapy career- All whilst working within a friendly multidisciplinary team in a rewarding education setting? Do you want to have opportunities to participate in research projects, special interest groups and form part of a wider occupational therapy network that meets regularly for training & development? Do you want to have flexibility and be able to work creatively to deliver specialist OT assessment and intervention fostering independence within an education setting? How about working for an employer who has been awarded a ‘Great Place to Work’ for the 6th year running? At OFG we believe in creating a better work life balance Job Title: Occupational Therapist Location: Hillingdon Granges - comprising of Yiewsley Grange, Colne Grange, Upton Grange, This role will be predominantly based at Upton Grange, there may be requirements for the role to support other sites within the Hillingdon Granges sites from time to time. Salary: Up to £53,200 DOE plus £5000 Welcome Bonus (Welcome Bonus is payable as one payment of £2,500 after completion of one month and one further payment of £2,500 upon completion of your final probation period. T&C's Apply Hours: 37.5 hours per week, Monday to Friday 8.30am-16.30pm Contract: Permanent – 52 weeks In a world where the demand for clinical support is increasing daily, we understand the importance and value of the work you carry out. Your unique skills and expertise are critical to building better outcomes for our pupils. This is why we aim to have a multidisciplinary clinical team for each of our sites to provide this vital provision in collaboration with our education teams. Creating an environment where our pupils can truly flourish and grow in independence is key. We understand the value of helping our employees develop in their careers. For clinicians to achieve their Continued Professional Development (CPD) goals we offer a £2000 training allowance, so that you can complete role specific training tailored to your individual requirements once your probation has been completed. About Outcomes First Group At Outcomes First Group, we believe every child has the ability to thrive when given access to a learning environment designed for their success. We exist to provide, champion and develop an exceptional education that is research-led and tailored around the abilities and aspirations of the individual - a commitment that shapes tomorrow’s leaders, cultivates a lifelong love of learning and equips young minds to craft their own bright futures. At the heart of our philosophy lies a unique blend of tradition and innovation. We champion smaller class sizes, personalised learning plans and a curriculum that prepares students for success both in and beyond the classroom, evidenced in a 97% success rate in guiding our leavers into education, employment or training. As the largest and most accomplished organisation in our sector, we have the capability to invest in forward-thinking initiatives and resources based on the needs of the individual pupil, rather than the collective. This investment creates consistent and measurable results for our pupils and teams. Outcomes First Group operates a number of specialist education and care brands across the UK, including Blenheim Schools, each delivering tailored provision to meet the diverse needs of children and young people. To find out more about our segments and expert services, visit: ___ The role: We are looking for an Occupational Therapist to join our in-house clinical team. Working collaboratively with the education team, you will deliver bespoke Occupational Therapy assessment and intervention to pupils who may have experienced developmental trauma, be neurodivergent or have SEMH needs. You will work within the standards provided in the OFG Occupational Therapy Ways of Working. This will guide your practice within an education setting and clarify your roles and responsibilities, while taking into account the requirements of your governing and professional bodies. You will be given responsibility for holding an occupational therapy caseload, with the full support of your designated clinical supervisor and site lead, also contributing to staff training and consultation as required This post would suit a resilient, creative and enthusiastic individual. Our Clinical Teams help maintain a person-centred, empowering approach always putting the pupils we support at the forefront of everything they do. All our settings maintain a strong safeguarding culture, and the pupils we support are heard, respected, and involved in decisions that affect them. We strive for excellence, which is why we are one of the leading service providers in the UK. With this in mind, we are looking for an Occupational Therapist who shares our vision to use innovative approaches to enhance the quality of life and outcomes of the pupils we support. Location: Hillingdon Grange School forms part of our Options Autism brand supporting children and young people aged 3 – 14 For further information regarding this vacancy please refer to the Job Description and Person Specification attached. Essential Criteria: • Recognised Occupational Therapy degree, • Valid and up to date HCPC Registration, • Registered member of RCOT, • Relevant experience in providing occupational therapy services within a similar setting is preferrable, • Previously engaged with people who are neurodivergent and/or experience learning difficulty and/or socio-emotional and mental health difficulties in any setting, being able to evidence transferrable skills, • Sound knowledge and clinical understanding of OT theory and its practical application to support independence, • Experience of multi-professional work with teams or services within the designated speciality preferred, • Ability to work independently, flexible and confident, • Clear and concise report writing skills Alongside working with a network of over 350 clinical colleagues with regular forums for peer reflection and practice development, Outcomes First Group offer an array of flexible benefit options Benefits Your health and wellbeing are important to us, so you’ll get an exceptional reward and flexible benefits package including: • Life Assurance, • Pension scheme with options to increase your contributions, • Your Wellbeing Matters” – access to a wide range of first-class mental health support services and physical health checks, • Family Growth Support - inclusive benefits package covering enhanced maternity and paternity leave, along with paid fertility treatment support., • A wide range of health, wellbeing, and insurance benefits, • 100’s of discount options valid in the UK and abroad, • Cycle to Work Schemes, • Electric Car Purchase Scheme, • Critical illness cover We reserve the right to close vacancies early, please submit your application at the earliest opportunity. Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales. Job Ref: 310604 #occupationaltherapy#CareersinEducation#SpecialEducation#CareersinCare #CareersinSpecialEducation #Therapists

Are you looking for an employer who can offer you opportunities for growth and development in your speech and language therapy career- All whilst working within a friendly multidisciplinary team in a rewarding education setting? Do you want to have opportunities to participate in research projects, special interest groups and form part of a wider speech and language therapy network that meets regularly for training & development? Do you want to have flexibility and be able to work creatively to deliver specialist SaLT assessment and intervention fostering independence within an education setting? How about working for an employer who has been awarded a ‘Great Place to Work’ for the 5th year running? At OFG we believe in creating a better work life balance Job Title: Senior Speech and Language Therapist Location: Hillingdon Granges - comprising of Yiewsley Grange, Colne Grange, Upton Grange, This role will be predominantly based at Upton Grange, there may be requirements for the role to support other sites within the Hillingdon Granges sites from time to time. Salary: Up to £53,200 FTE DOE plus £5000 Welcome Bonus (Welcome Bonus is payable as one payment of £2,500 after completion of one month and one further payment of £2,500 upon completion of your final probation period. T&C's Apply Hours: 37.5 hours per week, Monday to Friday 8.30-16.30pm Contract: Permanent (Term time only, or flexibility around full-time contract can be discussed based on your personal circumstances) In a world where the demand for clinical support is increasing daily, we understand the importance and value of the work you carry out. Your unique skills and expertise are critical to building better outcomes for our pupils. This is why we aim to have a multidisciplinary clinical team for each of our sites to provide this vital provision in collaboration with our education teams. Creating an environment where our pupils can truly flourish and grow in independence is key. We understand the value of helping our employees develop in their careers. For clinicians to achieve their Continued Professional Development (CPD) goals we offer a £2000 training allowance, so that you can complete role specific training tailored to your individual requirements once your probation has been completed. About Outcomes First Group At Outcomes First Group, we believe every child has the ability to thrive when given access to a learning environment designed for their success. We exist to provide, champion and develop an exceptional education that is research-led and tailored around the abilities and aspirations of the individual - a commitment that shapes tomorrow’s leaders, cultivates a lifelong love of learning and equips young minds to craft their own bright futures. At the heart of our philosophy lies a unique blend of tradition and innovation. We champion smaller class sizes, personalised learning plans and a curriculum that prepares students for success both in and beyond the classroom, evidenced in a 97% success rate in guiding our leavers into education, employment or training. As the largest and most accomplished organisation in our sector, we have the capability to invest in forward-thinking initiatives and resources based on the needs of the individual pupil, rather than the collective. This investment creates consistent and measurable results for our pupils and teams. Outcomes First Group operates a number of specialist education and care brands across the UK, including Blenheim Schools, each delivering tailored provision to meet the diverse needs of children and young people. To find out more about our segments and expert services, visit: ___ The role: We are looking for a Senior Speech and Language Therapist to join our in-house clinical team. Working collaboratively with the education team, you will deliver bespoke Speech and Language Therapy assessment and intervention to pupils who may have experienced developmental trauma, be neurodivergent or have SEMH needs. You will work within the standards provided in the OFG Speech and Language Therapy Ways of Working. This will guide your practice within an education setting and clarify your roles and responsibilities, while taking into account the requirements of your governing and professional bodies. You will be given responsibility for holding a Speech and Language therapy caseload, with the full support of your designated clinical supervisor and site lead, also contributing to staff training and consultation as required This post would suit a resilient, creative and enthusiastic individual. Our Clinical Teams help maintain a person-centred, empowering approach always putting the pupils we support at the forefront of everything they do. All our settings maintain a strong safeguarding culture, and the pupils we support are heard, respected, and involved in decisions that affect them. We strive for excellence, which is why we are one of the leading service providers in the UK. With this in mind, we are looking for a Speech and Language Therapist who shares our vision to use innovative approaches to enhance the quality of life and outcomes of the pupils we support. Location: Hillingdon Grange forms part of our Options Autism brand and is an independent specialist day school, supporting children and young people aged 3 – 14 For further information regarding this vacancy please refer to the Job Description and Person Specification attached. Essential Criteria: • Undergraduate or Postgraduate degree in Speech and Language Therapy, • HCPC registered, • 1-2 yrs experience as a fully registered member of the RCSLT working in a similar setting., • Some relevant experience in a previously held job of engaging and working with individuals presenting with complex and diverse communication profiles, • Some knowledge of neurodiversity and trauma informed practice, • Some experience of multi-disciplinary working in a range of settings, • Some experience of communicating with/working with families/relatives and carers, • An interest in developing knowledge and skills in different areas of SaLT practice, • Good relationship building, analytical and judgmental skills, • Good communication skills (oral and written), • Good time management and organisational skills, • Competent in core areas of SaLT practice and clear understanding of RCSLT Communication Standards, • Knowledge of different SaLT assessment tools, types of intervention and knowledge of how to formulate support plans based on needs profile, • Knowledge of legislation and its implications for both clinical practice and professional management in relation to the client group, • Ability to work collaboratively as part of the multi-disciplinary team, • Willingness to attend training and working towards further qualifications relevant to the client group supporting, • Some understanding of the other differences, e.g. sensory and motor, which may impact on an individual’s communication strengths, differences, traits, difficulties and needs profile, • Some evidence of understanding the relationship between arousal levels and communication Alongside working with a network of over 350 clinical colleagues with regular forums for peer reflection and practice development, Outcomes First Group offer an array of flexible benefit options: Benefits Your health and wellbeing are important to us, so you’ll get an exceptional reward and flexible benefits package including: • Life Assurance, • Pension scheme with options to increase your contributions, • “Your Wellbeing Matters” – access to a wide range of first-class mental health support services and physical heath checks, • Family Growth Support - inclusive benefits package covering enhanced maternity and paternity leave, along with paid fertility treatment support., • A wide range of health, wellbeing, and insurance benefits, • 100’s of discount options valid in the UK and abroad, • Cycle to Work Schemes, • Electric Car Purchase Scheme, • Critical illness cover, • £5000 Welcome Bonus We reserve the right to close vacancies early, please submit your application at the earliest opportunity. Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales. Job Ref: 310347 #speechltherapy#speechandlanguagetherapy#CareersinEducation#SpecialEducation#CareersinCare #CareersinSpecialEducation #Therapists

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 #LifeAtSky: 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 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 #LifeAtSky: 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 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 #LifeAtSky: 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 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 #LifeAtSky: 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 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 #LifeAtSky: 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 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 #LifeAtSky: 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 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 #LifeAtSky: 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 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 #LifeAtSky: 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 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 #LifeAtSky: 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 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 #LifeAtSky: 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 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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.

You're not just anyone. From every day life, to changing someone's world. Job Description Support Worker – Lifeways Group Location: TwickenhamPositions available: Bank/sessionalDriver Essential: 1 x Full time days available - Ability to drive automatic or manual cars *Female Shift Pattern: Day shifts across Monday-Sunday, between 7am – 10pm, working alternate weekendsWaking Night shifts across Monday-Sunday, between 10pm - 7am, working alternate weekends We’re looking for Caring and Courageous Support Workers who share our values and want to be part of One Team that’s Honest, Innovative, and treats everyone as Equal. If that sounds like you, we’d love to welcome you to Lifeways. Why Join Us? We’re committed to ensuring every team member feels: • Valued – through recognition, rewards, and career development, • Supported – with training, guidance, and a strong team culture, • Over £2,000 in annual rewards, • Cycle to Work Scheme – up to £1,000, • Gym discounts – save up to £192 a year, • Eye care & health cash plans, • 10% discount at B&Q for all team members, • Blue Light Card eligibility – discounts on shopping, food, and leisure, • £200 referral bonus for every successful hire, • 3% employer pension contribution, • 8 paid training days per year You’ll be supporting adults with learning disabilities in a 24/7 care setting. Every day is different, and every moment matters. We’re looking for people who: • Have experience as a Care Assistant, Support Worker, or Healthcare Assistant, • Hold a full UK Driving Licence – you’ll be driving company vehicles See the Difference You Can Make Take a moment to watch this short video about who we are and the impact of our work: Join us and be part of a team where your work truly matters.Because at Lifeways, You’re Not Just Anyone — and the difference you make is real. LWGE

Would you like to join Europe's leading premium health and wellness group? Our team members are the ambassadors of our business and the heart of what we do. We are on the look out for a passionate Tennis Coach to join our team! We are super proud of our reputation as one of the leading Tennis operators in the industry. With our state-of-the-are facilities, exceptional indoor and outdoor tennis courts and all year-round coaching, our members' have the finest experience possible, whether they're holding a racquet for the first time, or showing real promise on the court. As a Tennis Coach you will form an important part of our team with responsibility for managing activities, teams, box leagues, ladders and find partner schemes. You will promote competitions, leagues, and events internally and most of all, create a fun learning environment. We create an environment where our teams feel a sense of belonging, an environment where they can thrive, both physically and mentally whilst fulfilling their full potential. Some of our perks: • Free Club Membership for you and your family!, • 50% Discount on food and drinks., • Discounts on Swimming, Tennis Lessons, and Personal Training., • Opportunities for Career Advancement through internal training and development., • Wagestream App: Get paid on demand!, • Access to our Benefits Suite. About you : As a Tennis Coach: • You must hold a Level 2 LTA qualification to apply for this role., • Have a passion for all things health and fitness, supporting others to achieve their goals., • Great communication and collaboration skills, • A self-starter who takes pride in"delivering"great quality"experience"to our members." Join us and help us create a thriving and inclusive culture. Together, we're more than a Club!

Primary ASC Teacher \n\nSalary: MPS/UPS + SEN Allowance\n Contract: Full-time, Permanent\n Start Date: September start\n\nWe are recruiting for a large, well-established special school for pupils aged 4-16 with autism and complex learning needs. Our core purpose is to nurture, challenge and inspire every pupil to develop the skills and confidence needed to become independent and valued members of their community.\n\nAbout the School\n\nThe school provides a highly personalised curriculum tailored to meet the needs of pupils with autism and additional needs. Teaching focuses on communication, independence, life skills, and academic development, supported by a multidisciplinary team including therapists and specialist staff.\n\nClass sizes are small, allowing staff to build strong relationships and deliver meaningful, individualised learning experiences.\n\nThe Role\n\nAs a Class Teacher, you will:\n\nLead a class of pupils with autism and complex needs\nPlan and deliver engaging, differentiated lessons tailored to individual EHCP targets\nCreate a structured, supportive, and inclusive learning environment\nWork closely with teaching assistants and specialist professionals\nMonitor, assess and report on pupil progress\n\nWhat We Offer\n\nA welcoming and supportive staff team\nA well-resourced, purpose-built learning environment\nOpportunities to develop expertise in SEND and autism education\nA strong commitment to staff wellbeing\n\nAbout You\n\nWe are looking for someone who:\n\nHolds Qualified Teacher Status (QTS)\nHas a commitment to inclusive education and SEND\nIs patient, adaptable, and resilient\nHas strong communication and teamwork skills\n\nSafeguarding\n\nWe are committed to safeguarding and promoting the welfare of children and young people. All appointments are subject to enhanced DBS checks and safer recruitment procedures

English TeacherLocation: KingstonSalary: M1-M6 (Main Pay Scale)Contract: Permanent My client is well-established high school academy located in the Kingston. This school believe in creating a safe, supportive, and inclusive environment where all pupils flourish academically, socially, and personally. They are committed to delivering a high-quality education that challenges and motivates every child to reach their full potential. The Role They are seeking an experienced, passionate English teacher to join there dynamic and forward-thinking department. This is an excellent opportunity to make a real impact on students' lives and be part of a school community that values excellence in teaching and learning. • Plan and deliver engaging, challenging lessons in line with the national curriculum for Key Stages 3 and 4., • Use a variety of teaching methods to meet the diverse needs of learners and to support progress and attainment., • Monitor and assess pupil progress regularly, providing constructive feedback and interventions where necessary., • Collaborate closely with colleagues within the English department and across the school to enhance teaching practice and curriculum delivery., • Promote positive behaviour and a culture of high expectations., • Support the wider school ethos of pupil wellbeing, safeguarding, and inclusion. Person Specification The ideal candidate will: • Hold Qualified Teacher Status (QTS) with experience teaching English at secondary level., • Have strong subject knowledge and a passion for inspiring students to develop their English skills., • Demonstrate excellent classroom management skills and the ability to engage and motivate pupils., • Be committed to maintaining a safe and supportive learning environment., • Show a proactive approach to professional development and teamwork., • Have a good understanding of assessment strategies and use data effectively to support pupil progress. Why Join? • Join a highly motivated and supportive English department within a school that values innovation and excellence., • Work in a well-resourced school with modern facilities to support effective teaching and learning., • Benefit from a collaborative culture that encourages professional growth and leadership opportunities., • Contribute to a school community where pupil welfare and safeguarding are paramount., • Enjoy a competitive salary on the Main Pay Scale (M1 - M6), with pay progression based on experience and qualifications. What's Next If you are ready to inspire, challenge, and support pupils in their English journey and contribute to our outstanding school community, we would love to hear from you.

Maths TeacherLocation: RichmondSalary: M1-M6 (Main Pay Scale)Contract: Permanent Are you an enthusiastic and dedicated Maths teacher with a proven track record of inspiring secondary school pupils? My client is well-established mixed high school academy located in Richmond. This school believe in creating a safe, supportive, and inclusive environment where all pupils flourish academically, socially, and personally. They are committed to delivering a high-quality education that challenges and motivates every child to reach their full potential. The Role They are seeking an experienced, passionate Maths teacher to join there dynamic and forward-thinking department. This is an excellent opportunity to make a real impact on students' lives and be part of a school community that values excellence in teaching and learning. • Plan and deliver engaging, challenging lessons in line with the national curriculum for Key Stages 3 and 4., • Use a variety of teaching methods to meet the diverse needs of learners and to support progress and attainment., • Monitor and assess pupil progress regularly, providing constructive feedback and interventions where necessary., • Collaborate closely with colleagues within the Maths department and across the school to enhance teaching practice and curriculum delivery., • Promote positive behaviour and a culture of high expectations., • Support the wider school ethos of pupil wellbeing, safeguarding, and inclusion. Person Specification The ideal candidate will: • Hold Qualified Teacher Status (QTS) with experience teaching Maths at secondary level., • Have strong subject knowledge and a passion for inspiring students to develop their mathematical skills., • Demonstrate excellent classroom management skills and the ability to engage and motivate pupils., • Be committed to maintaining a safe and supportive learning environment., • Show a proactive approach to professional development and teamwork., • Have a good understanding of assessment strategies and use data effectively to support pupil progress. Why Join? • Join a highly motivated and supportive Maths department within a school that values innovation and excellence., • Work in a well-resourced school with modern facilities to support effective teaching and learning., • Benefit from a collaborative culture that encourages professional growth and leadership opportunities., • Contribute to a school community where pupil welfare and safeguarding are paramount., • Enjoy a competitive salary on the Main Pay Scale (M1 - M6), with pay progression based on experience and qualifications. What's Next If you are ready to inspire, challenge, and support pupils in their mathematical journey and contribute to our outstanding school community, we would love to hear from you.

Permanent, Part Time (0.6) Please note that this post is funded for the 2026/27 academic year onwards so the successful candidate would not be expected to commence in post prior to August 2026. The School of Creative Industries at Kingston College is seeking a dynamic, proactive, highly organised and effective course leader to drive forward the Level 3 aspect in Digital Art, Animation and Games Design. You will have a skilled understanding, and the ability to teach and create tutorials, on a range of software and hardware including some or all of these programmes: Autodesk Maya, Blender, 3D Studio Max, a range of Game Engines, the Adobe suite including: After-effects, Animate, InDesign, Premiere, Photoshop, Illustrator, plus: skills in using 3D printers, Green screens, HD video/still cameras, motion-capture VR is preferable. You will produce schemes of work, monitor their delivery, supervise assessment, provide internal verification and, if necessary, liaise with external verifiers/moderators and co-ordinate the review and evaluation of courses. As our Lecturer/Programme Leader, we would like you to hold relevant qualifications to degree level or higher, hold a teaching qualification (or willing to work towards) and participated in recent and relevant continuous professional development. With a thorough understanding of what makes for excellent evidence-based teaching, learning and assessment in your field, you will have a strong record in delivering high quality learning programmes with demonstrably good outcomes. With a keen awareness of future developments that influence this curriculum area, you will have experience of successfully monitoring and supporting “at-risk” learners to achieve or exceed their potential. You will be a hardworking and flexible individual with high personal standards and expectations with good planning, preparation, organisational and administrative skills and good attention to detail. The successful candidate will be eligible for any increase in salary as a consequence of the annual cost of living review that will be implemented in the new academic year. Closing date for the return of completed applications is 12th May 2026. The benefits package includes generous annual leave of 40 days plus up to 8 additional days over Christmas/New Year as well as an additional 5 days Wellbeing leave to enhance employees’ physical and mental health. There is an excellent pension scheme that receives a significant financial contribution from the employer (Teachers Pensions or Local Government Pension Scheme), subsidised sports facilities and professional development and training plus a salary sacrifice cycle to work scheme. The benefits package is pro-rated for part time staff. South Thames Colleges Group is an equal opportunities employer and is committed to safeguarding and promoting the welfare of children and vulnerable adults. As outlined in the Public Sector Equality Duty of the Equality Act 2010, we are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. As part of our due diligence checks on prospective employees, successful candidates will be subject to an enhanced DBS check, satisfactory references, an online search and proof of eligibility to work in the UK. The South Thames Colleges Group is made up of Carshalton College, Kingston College, Merton College and South Thames College, which merged on 1 August 2017. South Thames Colleges Group is one of London’s largest providers of post-16 education and training and is an ongoing and significant contributor to its local communities. We aim to put students’ success at the heart of everything we do. We are looking for hard-working and collaborative people who can join our team and help challenge our students to progress and achieve.

Do you have a background in theatre, music, dance or performance? Imagine using those skills to light up a child’s day, every day. Protocol Education looking for creative, proactive and compassionate people to join an Outstanding special school in Kingston Upon Thames (Surbiton), working with learners aged 4–19. What you’ll bring: • Experience in one or more creative arts (acting, music, dance, drama or similar), • Confidence supporting students with special educational needs (SLD, ASD), • Strong communication skills, patience and adaptability, • A hands-on, imaginative approach – whether that’s sensory learning, performance workshops or creative play, • Be part of a school praised by Ofsted for its family feel, joy of learning and focus on communication and independence, • Work with pupils across Early Years, Primary, Secondary and Post-16 – making an impact at every stage, • A setting where your creative flair isn’t just welcomed, it’s celebrated, • Hours: Monday to Friday, 8:30–16:00, • Start date: ASAP or after half term All applicants will require the appropriate qualifications and training for this role. Please see the FAQs on the Protocol Education website for further details.All pay rates quoted will be inclusive of 12.07% statutory holiday pay. This advert is for a temporary position. In some cases, the option to make this role permanent may become available at a later date.Protocol Education is committed to safeguarding and promoting the welfare of children. We undertake safeguarding checks on all workers in accordance with the DfE statutory guidance ‘Keeping Children Safe in Education’, this may also include an online search as part of our due diligence on shortlisted applicants.We offer FREE online safeguarding and Prevent Duty training to all our workers. All candidates must undertake or have undertaken a valid enhanced Disclosure and Barring Service (DBS) check and subscribe to the DBS Update Service.Full assistance provided. For details of our privacy policy, please see visit the Protocol Education website.

Join Our Busy Bees Family – Start Your Career in Early Years Today! Apply today to join us on our June, September or October learning cohorts. Are you passionate about working with children and ready to begin a rewarding career in the Early Years sector? At Busy Bees, the UK’s leading nursery group, we’re looking for enthusiastic, caring individuals to join us as Early Years Apprentices. Whether you’re taking your first step into childcare or looking to grow your skills, this is your chance to learn, develop, and make a real difference every day. Why Choose a Busy Bees Apprenticeship? As an Apprentice, you will: • Work alongside experienced, inspiring Early Years professionals, • Receive dedicated support and mentoring throughout your qualification, • Take part in bespoke Learning & Development courses, • Be regularly visited by your Development Coach for feedback and guidance Why Busy Bees? At Busy Bees, we’re proud to be the UK’s leading nursery group, with nearly 400 nurseries nationwide and more around the world. Our mission is simple: to give every child the very best start in life. We’ve also been recognised for our positive workplace culture, and we’re committed to making sure every team member feels valued, supported, and listened to. You’ll also experience: • Our award-winning Bee Curious curriculum - designed to spark imagination, confidence, and a love of learning in every child., • A workplace culture where every team member feels valued and supported, • Opportunities to get involved in our charity partnership with BBC Children in Need Busy Bees Benefits We offer a fantastic range of benefits, including: • Competitive salary, • Ongoing training and career progression, • Access to our Hive benefits and wellbeing platform - with discounts across a huge range of retailers, • Up to 28 days holiday per year (including bank holidays), • Your birthday off — our gift to you!, • 50% childcare discount, • Enhanced family leave and return-to-work bonus, • Menopause support through Peppy, • Financial guidance through Salary Finance, • Employee Assistance Programme & Mental Health First Aiders, • Cycle to Work scheme, • Workplace pension with Cushon As an apprentice, you will: • Help plan and deliver exciting, age-appropriate activities following the EYFS framework, • Support the team to provide high-quality childcare and positive learning experiences for all children, • Build strong, supportive relationships with children, parents, and colleagues, • Ensure children’s individual needs are understood and met, • Contribute to the safeguarding of all children, • Work proactively toward completing your apprenticeship provided by Busy Bees Education and Training within the expected timeframe To apply, you must: • Be passionate about childcare and motivated to start a career in Early Years, • To meet funding eligibility, you must have been a resident in the UK for at least the 3 consecutive years, • Be able to provide evidence of Maths and English achievements (GCSE Maths and English grade 3/D or above or Level 2 Functional Skills) Desirable Criteria (not essential) • A Level 2 Early Years Practitioner qualification Start your future in Early Years with a team that truly believes in you. Apply now and begin your Busy Bees journey! Applications will be reviewed as they are received, and interviews will take place on a rolling basis. We reserve the right to close this vacancy early if a suitable candidate is found.

GLL is looking for Lifeguards to work at Pools on the Park, in the London Borough of Richmond, on a fixed term contract basis during the summer holidays (July-September). If you have the skills and ambition to join us as a Lifeguard, there's never been a more exciting time to join us. A Lifeguard's job can't be underestimated, and neither can the responsibility that comes with this vital lifeguarding role. If you're calm under pressure, highly responsible and natural with people from all walks of life, this is your chance to develop further within the role. As a Recreation Assistant your passion for swimming and love of great customer service will shine through when supervising our customers in the pool, as well as supporting the team in keeping our centres clean and tidy. What you need: • A can-do attitude, • A real focus on customer service., • Passion and personality, • Knowledge of health and safety, • Be a great team player, • You will experience regular pool rotations, • Supervising and cleaning the pool area, • Setting up equipment, • Deliver first-class customer service, • Deal with customer queries, • A Values driven organisation, • Learning & development to support career development, • Good Pension schemes, • Discounted gym membership for you and your partner., • A permanent, part time position, • Industry leading rates of pay, • Opportunity to join the GLL Society and have a say in how we are run plus associated social events, • Exclusive discounts on our villas in Portugal, • Exclusive discounts on our Ski chalets in Bulgaria, • Health assurance, • Career pathways, professional development are just the start. To ensure you stay at the top of your game, we provide training with practical and theory elements too., • Discounts across thousands of retailers (GLL Extras), • 25% off Red Letter Days, • 25% off Buy A Gift, • 20% off GLL spa experience treatments and associated products., • Ride to work scheme As the UK’s largest leisure operator and charitable social enterprise, we offer a range of careers for everyone in our local communities. We manage over 400 facilities across England, Wales and Northern Ireland, including public sport and leisure centres, elite sporting venues, libraries and children’s centres. Our people are from the communities we serve and help us make real changes in their local area. One of our core values is ‘More than a Job’, because working with us opens up a wide range of possibilities and opportunities for you, starting with how you work with us. To make sure we’re having a positive impact on our people, we also offer some flexible and part-time working options so you can make sure your new job works for you. Subject to vacancies, whether you are after a contractual commitment and a regular work schedule or the freedom of flexible hours, you may be able to choose an arrangement that works best for you and play your part in improving the health and wellbeing of your community. We offer two different types of work arrangements: • A permanent employment contract - part time and full time So whether your ambitions lie in sport and leisure, events & catering, health & beauty, corporate support or working with children, you’ll be able to find your ideal new job at GLL. Passionate about seeing our communities thrive, we invest back into our facilities, projects and people and are Investors in People Gold Award employer. However you choose to work with us, you can be sure that you will be a valued member of our team, working with great colleagues, and making a real difference to people’s lives. We are an inclusive employer. We seek and welcome diversity in our teams. All pay rates are subject to skills, experience, qualifications and location.

Join Our Team at Busy Bees – Leading Nursery Group in the UK As an Early Years Educator, you will play a leading role in fostering the intellectual, social, and emotional development of children at Busy Bees. Join a company that values high-quality education and provides ample growth opportunities. About Us Busy Bees is the UK's leading nursery group, with nearly 400 nurseries across the UK and more overseas. We are dedicated to giving every child the best start in life and are proud to have won awards for our workplace culture. At Busy Bees, we ensure that every member of our team feels heard, valued, and nurtured. Busy Bees Benefits • Competitive salary, • Ongoing professional development and career progression, • Our ‘Hive’ benefits and wellbeing hub, with discounts across a huge range of retailers, • Up to 28 days holiday per year (including bank holidays), • Your birthday off – it’s our gift to you!, • 50% childcare discount, • Enhanced family leave and return to work bonus, • Menopause support through Peppy, • Financial support through Salary Finance, • Employee Assistance Programme and Mental Health First Aiders, • Cycle to Work scheme, • Easy access to your workplace pension through Cushon, • Discounted Private Medical Insurance (PMI) About our Nursery Busy Bees Sudbury Hill, rated Good by Ofsted, accommodates 99 children and is situated in a peaceful area with ample space for play, discovery, and learning. Our warm and stimulating environment provides everything children need to feel supported in their growth and development, effectively preparing them for the next stage of their educational journey. Located in the Borough of Harrow in West London, our nursery is just a stone's throw from Sudbury Hill tube station. We offer complimentary lunches and free parking for our families. Within our nursery, you’ll find themed areas tailored around books and topics we’re covering, such as our ‘Dear Zoo’ corner, which is filled with various animals for children to discover and connect to their learning. What to Expect as a Nursery Practitioner: • Create a Safe, Stimulating Environment: Prepare materials and arrange rooms to encourage children's growth and learning., • Lead Educational Activities: Plan and deliver activities that support children's physical, emotional, intellectual, and social development, aligned with the Early Years Foundation Stage (EYFS)., • Level 3 (or above) qualification in Early Years Education., • Proven experience in working with children under 5 and a genuine interest in early childhood education

Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level Programming staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. * HTML Essentials (6 weeks) * CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. * Learn the Command Line (1.5 weeks) * Learn Git & GitHub (1.5 weeks) * Learn JavaScript (1.5 weeks) * Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses * AWS Certified Cloud Practitioner * Microsoft Certified: Azure Administrator Associate Step 4 - Junior Programmer placement (£25K - £40k) We work with you to secure your first role as a Junior Programmer, with a starting salary of anywhere between £25K - £40k. While working as a Junior Programmer, we will release your second batch of training which is specifically designed to qualify you to move into the programming field. Programmer Role Once you have completed all the mandatory training in step four and have gained two plus years experience in the coding industry, you will be ready to move into higher paying programming roles. Our recruitment support team specialises in the Web and programming space and roles at this level have an average starting salary of £45K. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level coding staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Passionate about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

We are pleased to invite enthusiastic and compassionate individuals to attend our Recruitment Event for the role of Learning Support Assistant, starting this September. This event is a great opportunity to learn more about the role, meet the team, and demonstrate your skills and suitability. Role Overview Position: Learning Support Assistant Pay Rate: £16.84 per hour (inclusive of holiday pay), paid weekly Hours: 08:30 – 16:30 (approx. 7 hours per day) Working Pattern: Minimum of 4 days per week Start Date: September (confirmed after onboarding) Location: Kingston Upon-Thames Mandatory Training To be eligible for this role, you must complete: Team Teach – 2 Days Dates to be confirmed This training will be fully funded by Reed. Key Responsibilities As a Learning Support Assistant, you will: • Support students on a 1:1 basis or in small groups, • Assist learners with integration into classroom and workplace settings, • Work collaboratively with Course Tutors and staff to support student development, • Complete termly reviews and maintain accurate progress records, • Administer medication (following training and procedures) Event dates: To Be Confirmed The recruitment event will include: Presentation College managers will provide an overview of the Learning Support Assistant role and daily expectations. Group Interview You will have the opportunity to introduce yourself, discuss your experience, and demonstrate your knowledge of supporting young people and safeguarding. Written Task You will complete a short written exercise on the day. The task will be provided beforehand for preparation (optional). Meet the Reed Team Ask us any questions about registration, payroll, start dates, or the onboarding process. After the Event If you are successful, a Reed consultant will contact you within a few days. All successful applicants will complete the full registration process and take part in a paid induction day prior to starting in September. If this role sounds of interest, Apply Today!

Location: Richmond Upon Thames Pay: £16.00 per hour (Inclusive of Holiday pay) Job Type: 2 Full time positions available Looking for someone who has worked with SEND or Mainstreams learners within a Further Education or Secondary school setting. Key Responsibilities: • Provide 1:1 or small group support for pupils with SEND, ensuring safety and access to learning., • Assist with the implementation of EHCPs, Individual Learning Plans, and Behaviour Management Plans., • Encourage pupil interaction, independence, and engagement in classroom activities., • Foster positive relationships with pupils, staff, and parents., • Exclusive access to roles in leading FE colleges and training providers, • 1-2-1 support from a Specialist SEN Consultant (CV tips & interview prep!), • Health Cash Plan & REED Discount Club, • Statutory Sick Pay, Maternity/Paternity/Adoption Pay, • Access to REED Learning & Development programmes Apply Today!

Join Our Team at Busy Bees – Leading Nursery Group in the UK \n Are you passionate about working with children and eager to start your career in early childhood education? As an Early Years Assistant (Unqualified) at Busy Bees, you’ll gain valuable experience in a dynamic environment while helping children grow and develop. This role is perfect for anyone eager to learn and grow in their professional journey, with ongoing support and training to help you succeed in the early years sector. \n About Us Busy Bees is the UK's leading nursery group, with nearly 400 nurseries across the UK and more overseas. We are dedicated to giving every child the best start in life and are proud to have won awards for our workplace culture. At Busy Bees, we ensure that every member of our team feels heard, valued, and nurtured. \n Why Work at Busy Bees? We offer a supportive environment that empowers you to create engaging, educational spaces where children can thrive. As part of our team, you’ll be introduced to our unique Bee Curious curriculum, designed to foster curiosity and confidence in young learners. \n Our Charitable Commitment Through our partnership with BBC Children in Need, we offer fantastic opportunities for community involvement and fundraising to support children's lives. About our Nursery Busy Bees Perivale, rated Good by Ofsted, has a capacity of 76 children and has been a part of the community since 1993. Our nursery provides a secure, fun, and stimulating environment where children can develop and flourish. Our dedicated team takes pride in the quality care they offer to every child. Conveniently situated within a five-minute walk from Perivale Tube station (Central Line), we provide complimentary lunches and free parking for our families. At our nursery, learning isn’t confined to indoors; we are proud to offer a safe and secure outdoor space where children can explore freely. We encourage them to enjoy the fresh air, stay active, and have fun while learning to take safe risks under the supervision of our experienced nursery staff. Busy Bees Benefits \n\n • Competitive salary\n, • Ongoing professional development and career progression \n, • Our ‘Hive’ benefits and wellbeing hub, with discounts across a huge range of retailers \n, • Up to 28 days holiday per year (including bank holidays)\n, • Your birthday off – it’s our gift to you!\n, • Enhanced family leave and return to work bonus\n, • Menopause support through Peppy \n, • Financial support through Salary Finance \n, • Employee Assistance Programme and Mental Health First Aiders\n, • Cycle to Work scheme \n, • Easy access to your workplace pension through Cushon\n Key Responsibilities • Assist in preparing and delivering educational activities for children., • Support the team in maintaining a safe and nurturing environment., • Help children develop socially, emotionally, and physically through engaging play-based learning., • Ensure the welfare and safety of all children is maintained. Our hourly rates of pay differ for people under 21 but they are above national minimum wage levels. For employees aged 21 and above, our hourly rate of pay is £12.75. Ideal Candidate \n\n • No formal qualifications required, although prior experience in early years settings is beneficial.\n, • A passion for working with children and supporting their development.\n

Are you looking for an opportunity to make a difference in the lives of children with special needs? Reeson Education is currently recruiting for multiple Graduate Teaching Assistant positions to work with special needs schools in Kingston Upon Thames. Whether you're an entry-level graduate or an experienced TA, we have a position for you! Benefits of working with us:- Competitive pay rates - Part time, full time and long term roles available - Opportunities for career growth and development - Rewarding work that makes a difference in the lives of children Responsibilities as a Graduate Teaching Assistant:- Supporting students with special needs, including those with physical and learning disabilities - Assisting teachers with classroom management and lesson planning - Providing one-on-one support to students who require additional assistance - Helping to create a safe and inclusive learning environment for all students Requirements for the role:- A passion for working with children with special needs - Excellent communication and interpersonal skills - A positive attitude and willingness to learn - Relevant qualifications and experience (for experienced TAs) Don't miss this opportunity to work as a Graduate Teaching Assistant in Kingston Upon Thames and make a difference in the lives of children with special needs. Apply now and take the first step towards a rewarding career in education! Reeson Education: Reeson Education is England's Premier Recruitment Agency. Established in 2006 by experienced teachers, education professionals and recruitment specialists, we have built our business and reputation on the cores values of honesty, integrity and excellence. We care about education and the provision of education and have established an excellent reputation with schools and teachers alike. Reeson Education is an Equal Opportunities employer and is committed to the highest standards of safeguarding and the promotion of the welfare of children, young people and adults. At Reeson Education we work closely with a large network of Nurseries, Primary Schools, Secondary Schools and Colleges across the UK. Our client base provides us with an abundance of available daily supply, long term and permanent opportunities across all age groups in all areas of England. Please note, where a salary or daily rate range is stated, the higher rate applies to candidates who meet the enhanced experience, training or qualification requirements specified within the advert.

ABOUT THE ROLE As a Bank Registered Nurse at a Barchester care home, you'll look after the physical, psychological and social needs of our residents to help us deliver the quality care they deserve. We'll look to you to create a safe and supportive environment for residents with range of physical and mental needs, whilst also relying on your professional judgement to make critical clinical decisions. You can expect a wide range of responsibilities, from developing tailored care plans to providing medicine safely and delivering excellence across everything you do. As a Registered Nurse (RGN), you'll have the freedom and autonomy to do things the right way and be truly valued and respected for what you do. ABOUT YOU You'll need to have current NMC registration and a good knowledge of the most up-to-date clinical practices to join us as a Registered Nurse (RGN). Experience of producing well-developed care plans and detailed risk assessments is important too, as is an understanding of regulatory frameworks, including DoLs/MCA and Royal Pharmaceutical guidelines. Dedicated and compassionate, you'll pride yourself on your person-centred, thoughtful approach to nursing. REWARDS PACKAGE As well as competitive pay, you can look forward to a role that offers true flexibility and plenty of free learning and development opportunities. As one of the UK's leading healthcare providers, we take the growth of everyone who works for us seriously. As this is a Bank position to provide cover as and when we need it, such as for annual leave or sick leave, the hours and days you work will vary. If you'd like to use your clinical and people skills in an organisation that provides the quality care you'd expect for your loved ones, this is a rewarding and empowering place to be. #2003

THIS ADVERT IS FOR ALL LONDON BUSY BEES LOCATIONS - PLEASE SPECIFY YOUR POSTCODE AT APPLICATION STAGE. Join Our Team at Busy Bees – Leading Nursery Group in the UK As a Room Leader at Busy Bees, you will oversee multiple rooms and ensure that educational strategies are seamlessly integrated across the centre. This is a leadership role where you will inspire your team to achieve the highest standards of care and learning. About Us Busy Bees is the UK's leading nursery group, with nearly 400 nurseries across the UK and more overseas. We are dedicated to giving every child the best start in life and are proud to have won awards for our workplace culture. At Busy Bees, we ensure that every member of our team feels heard, valued, and nurtured. Why Work at Busy Bees? We offer a supportive environment that empowers you to create engaging, educational spaces where children can thrive. As part of our team, you’ll be introduced to our unique Bee Curious curriculum, designed to foster curiosity and confidence in young learners. Our Charitable Commitment Through our partnership with BBC Children in Need, we offer fantastic opportunities for community involvement and fundraising to support children's lives. About our Nursery Busy Bees Perivale, rated Good by Ofsted, has a capacity of 76 children and has been a part of the community since 1993. Our nursery provides a secure, fun, and stimulating environment where children can develop and flourish. Our dedicated team takes pride in the quality care they offer to every child. Conveniently situated within a five-minute walk from Perivale Tube station (Central Line), we provide complimentary lunches and free parking for our families. At our nursery, learning isn’t confined to indoors; we are proud to offer a safe and secure outdoor space where children can explore freely. We encourage them to enjoy the fresh air, stay active, and have fun while learning to take safe risks under the supervision of our experienced nursery staff. Busy Bees Benefits • Competitive salary, • Ongoing professional development and career progression, • Our ‘Hive’ benefits and wellbeing hub, with discounts across a huge range of retailers, • Up to 28 days holiday per year (including bank holidays), • Your birthday off – it’s our gift to you!, • 50% childcare discount, • Enhanced family leave and return to work bonus, • Menopause support through Peppy, • Financial support through Salary Finance, • Employee Assistance Programme and Mental Health First Aiders, • Cycle to Work scheme, • Easy access to your workplace pension through Cushon, • Discounted Private Medical Insurance (PMI) Key Responsibilities • Lead the planning and execution of age-appropriate activities and curriculum in your room., • Create a safe, stimulating, and inclusive learning environment for children., • Foster a high-performing team through supportive leadership and collaboration., • Oversee the development and wellbeing of children, ensuring their progress is tracked and communicated with parents., • Take on the role of Key Person, ensuring the holistic development and personal care needs of a group of children., • Level 3 qualification or above in early years education., • Experience in an early years setting, with supervisory experience an advantage ideally as a Nursery Room Leader, Nursery Room Manager or Nursery Practitioner., • Strong leadership, organisational, and communication skills.

Science TeacherLocation: RichmondSalary: M1-M6 (Main Pay Scale)Contract: Permanent Are you an enthusiastic and dedicated Science teacher with a proven track record of inspiring secondary school pupils? My client is well-established high school academy located in Richmond. This school believe in creating a safe, supportive, and inclusive environment where all pupils flourish academically, socially, and personally. They are committed to delivering a high-quality education that challenges and motivates every child to reach their full potential. The Role They are seeking an experienced, passionate Science teacher to join there dynamic and forward-thinking department. This is an excellent opportunity to make a real impact on students' lives and be part of a school community that values excellence in teaching and learning. • Plan and deliver engaging, challenging lessons in line with the national curriculum for Key Stages 3 and 4., • Use a variety of teaching methods to meet the diverse needs of learners and to support progress and attainment., • Monitor and assess pupil progress regularly, providing constructive feedback and interventions where necessary., • Collaborate closely with colleagues within the Science department and across the school to enhance teaching practice and curriculum delivery., • Promote positive behaviour and a culture of high expectations., • Support the wider school ethos of pupil wellbeing, safeguarding, and inclusion. Person Specification The ideal candidate will: • Hold Qualified Teacher Status (QTS) with experience teaching Science at secondary level., • Have strong subject knowledge and a passion for inspiring students to develop their scientific skills., • Demonstrate excellent classroom management skills and the ability to engage and motivate pupils., • Be committed to maintaining a safe and supportive learning environment., • Show a proactive approach to professional development and teamwork., • Have a good understanding of assessment strategies and use data effectively to support pupil progress. Why Join? • Join a highly motivated and supportive Science department within a school that values innovation and excellence., • Work in a well-resourced school with modern facilities to support effective teaching and learning., • Benefit from a collaborative culture that encourages professional growth and leadership opportunities., • Contribute to a school community where pupil welfare and safeguarding are paramount., • Enjoy a competitive salary on the Main Pay Scale (M1 - M6), with pay progression based on experience and qualifications. What's Next If you are ready to inspire, challenge, and support pupils in their Science journey and contribute to our outstanding school community, we would love to hear from you.

GOLANG ENGINEER - RICHMOND, LONDON (ONSITE) KEY POINTS • Salary up to £60,000, • Fully onsite role in Richmond, London, • Strong focus on Go, Linux, and low-level networking We're working with a fast-growing and highly technical organisation building scalable, high-performance systems. Due to continued investment and product expansion, they're looking to add experienced Golang Engineers to their engineering team. This is an environment suited to engineers who enjoy solving complex problems, working close to the metal, and building robust, production-grade systems. THE BENEFITS • Work alongside highly skilled engineers in a technical environment, • Opportunity to work on complex, high-impact systems, • Clear progression within a growing team, • Ongoing learning and development support As a Golang Engineer, you'll play a key role in designing, building, and optimising backend systems with a strong focus on performance and reliability. You'll be working closely with other engineers to develop scalable services, troubleshoot system-level issues, and contribute to architectural decisions. This role suits someone who enjoys working within Linux environments and has a strong understanding of networking principles, particularly within distributed systems. GOLANG ENGINEER ESSENTIAL SKILLS • Strong commercial experience with Go (Golang), • Solid Linux experience (command line, system-level understanding), • Strong understanding of networking concepts (TCP/IP, protocols, performance), • Experience building scalable, distributed systems Please either apply through this advert or email me directly via . For further information please call me on / . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Golang, Go, Linux, Networking, TCP/IP, Distributed Systems, Backend Development, Software Engineering, Systems Programming

KS1 Class Teacher - September 2026 | Richmond Are you an experienced KS1 Primary Teacher looking for a new opportunity? Are you a qualified Primary Class Teacher with QTS seeking a permanent role for a September 2026 start? Are you searching for a full-time teaching position in a supportive and high-achieving primary school? Academics is proud to be working with a welcoming and ambitious primary school in Richmond that is seeking to appoint a dedicated and enthusiastic KS1 Class Teacher from September 2026. This is an exciting opportunity to join a forward-thinking school community where high expectations, strong leadership, and a commitment to academic excellence underpin everything they do. Role Details • KS1 Class Teacher - Full-time, • Start Date: September 2026 (Permanent), • Location: Primary School in Richmond, • OFSTED: Outstanding, • Salary: M2 to M6 (Outer London - paid to scale) The school has built an excellent reputation within the local community for providing a nurturing, inclusive, and inspiring learning environment where pupils are encouraged to develop confidence, curiosity, and a lifelong love of learning. Staff are supported by an experienced leadership team who place a strong emphasis on collaboration, professional development, and staff wellbeing. The successful candidate will be a passionate and reflective practitioner with a secure understanding of the KS1 curriculum, particularly in early reading, phonics, writing, and mathematics. You will be confident in planning and delivering engaging, well-structured lessons that inspire young learners and support pupils of all abilities to reach their full potential. Strong classroom management skills and the ability to create a positive, inclusive learning environment will be essential. You will be responsible for planning, delivering, and assessing high-quality lessons, monitoring pupil progress, and working closely with colleagues to ensure that every child receives the support and challenge they need. The role will also involve building positive relationships with parents and carers and contributing to the wider life of the school. The school warmly welcomes applications from both experienced teachers and Early Career Teachers (ECTs). ECTs will benefit from a comprehensive induction programme, dedicated mentoring, and structured professional development designed to support a successful start to their teaching career. Applications are welcomed from teachers with recent KS1 classroom experience, strong subject knowledge, and a proven ability to raise standards and inspire pupils. If you would like to find out more about this exciting KS1 Teacher opportunity for September 2026 or discuss your options, please apply today. Interviews will be held ASAP.

Reeson Education is delighted to be partnering with a vibrant and inclusive Mainstream Primary School in Kingston Upon Thames to recruit a dedicated Primary Resource Base Teacher. This is a unique opportunity to join a specialist provision within a mainstream setting. Our Resource Base is designed for pupils who benefit from a high level of specialist support while remaining an integral part of our warm school community. If you are passionate about bridging the gap between specialist and mainstream education, this is the role for you. The Role: Primary Resource Base Lead You will be responsible for leading a small, nurturing class of primary-aged pupils (EYFS-KS2) who have a diagnosis of Autism Spectrum Disorder (ASD) and/or Social Communication needs. The Resource Base serves as a "hub" of expertise. You will create a structured environment that allows pupils to access a specialist curriculum while supporting their successful inclusion into mainstream classes where appropriate. You will be supported by a dedicated team of specialist Teaching Assistants. Key Responsibilities Include: * Differentiated Primary Delivery: Plan and deliver a highly personalised curriculum that focuses on the core primary framework, adapted for learners with ASD and communication difficulties. * Inclusion Advocacy: Work closely with mainstream class teachers to facilitate successful "step-out" opportunities, ensuring pupils feel confident in the wider school environment. * EHCP Management: Lead the implementation and tracking of EHCP targets, ensuring every small step of progress is celebrated and documented. * Therapeutic Collaboration: Partner with the SENCO, Speech and Language Therapists, and Occupational Therapists to integrate specialist strategies into daily classroom life. * Nurturing Environment: Use visual schedules, sensory breaks, and positive behavior support to create a "low-arousal" space where pupils feel safe to learn. What We Are Looking For: * Qualified Teacher Status (QTS): Proven experience teaching within a UK Primary setting. * SEN Expertise: A deep understanding of Autism (ASD) and Speech, Language & Communication Needs (SLCN). Experience within a Resource Base or SEN unit is highly desirable. * Adaptability: A teacher who can pivot between sensory-based learning and formal primary academic instruction. * Collaborative Spirit: Excellent communication skills to lead a team of TAs and engage effectively with parents and external professionals. * Compliance: An enhanced DBS check registered on the Update Service (or willingness to obtain one through Reeson Education). Why This Role? This position offers the best of both worlds: the specialist resources and small class sizes of an SEN school, combined with the community feel and professional development opportunities of a thriving Primary school. A permanent contract is available for the right candidate. Reeson Education: Reeson Education is England's Premier Recruitment Agency. Established in 2006 by experienced teachers, education professionals and recruitment specialists, we have built our business and reputation on the cores values of honesty, integrity and excellence. We care about education and the provision of education and have established an excellent reputation with schools and teachers alike. At Reeson Education we work closely with a large network of Nurseries, Primary Schools, Secondary Schools and Colleges across England. Our client base provides us with an abundance of available daily supply, long term and permanent opportunities across all age groups in all areas of London. Reeson Education is an Equal Opportunities employer and is committed to the highest standards of safeguarding and the promotion of the welfare of children, young people and adults. Please note, where a salary or daily rate range is stated, the higher rate applies to candidates who meet the enhanced experience, training or qualification requirements specified within the advert. All daily/hourly rates quoted are inclusive of holiday pay at 12.07%

Support Worker – Complex Care (Male/Female) Location: KT6 Shifts: Tuesday/wed 12: to 8 About The AICS Group The AICS Group is a specialist provider of community-based rehabilitation and complex care, supporting individuals with conditions such as brain injury, cerebral palsy, spinal cord injury, and learning disabilities. We are committed to delivering person-centred, outcome-focused care, enabling our clients to live as independently as possible within their own homes and communities. About the Role We are currently seeking a dedicated and experienced Team Leader / Rehabilitation Support Worker to support old male client living in the KT6 area. This is a highly rewarding opportunity to work within a dynamic multidisciplinary team (MDT), supporting a young individual with complex needs through a structured rehabilitation pathway. The role focuses on neurorehabilitation and spinal injury support, bridging the transition from hospital to home. You will play a key role in delivering tailored care plans, promoting recovery, and enhancing the client’s independence and quality of life. Key Responsibilities for Support worker • Deliver high-quality, person-centred care in the client’s home, • Support rehabilitation programmes and therapy goals, • Assist with manual handling and mobility support, • Administer and monitor medication safely, • Work collaboratively with healthcare professionals and therapists, • Monitor progress and report changes in condition, • Provide emotional and psychological support to the client Support worker Essential Skills & Experience • Experience supporting individuals with spinal cord injuries and complex needs, • Support worker should have strong manual handling skills, • Experience in medication administration and monitoring (hospital/ICU background desirable), • Understanding of rehabilitation and recovery pathways, • Excellent communication and interpersonal skills, • Good IT and documentation skills, • Ability to work independently within a client’s home, • Flexible working patterns (full-time & part-time opportunities), • Competitive pay rates, • Comprehensive training including:, • Mandatory training, • Brain injury and rehabilitation training, • Medication training, • Client-specific induction, • This role is subject to an enhanced DBS check This role offers a unique opportunity to make a real difference in someone’s life, supporting their recovery journey and helping them achieve greater independence in a supportive and professional environment.

A well-established and highly respected private nursery is seeking a caring and enthusiastic Nursery Assistant to join their dedicated team. This is an excellent opportunity for someone who is passionate about working with young children and wants to develop their career within a supportive, high-quality early years environment. This role is ideally suited to individuals with a natural warmth and interest in childcare. While formal qualifications are not essential, a good understanding of the EYFS framework is highly desirable, along with a willingness to learn and grow within the role.You will support the day-to-day care and development of children aged 0–5 years, helping to create a safe, engaging, and nurturing environment. Working closely with experienced practitioners, you will assist in planning activities, encouraging learning through play, and building positive relationships with children and parents.We are looking for someone who is reliable, patient, and genuinely enjoys working with children. Previous experience in a nursery or similar setting would be beneficial, though not essential. A basic understanding of safeguarding and child development, along with knowledge of the EYFS framework, will be advantageous.The nursery offers a competitive salary, a welcoming and supportive team environment, and excellent opportunities for ongoing training and development. You will be working in a well-resourced setting with strong staff support and a clear focus on quality care. Apply today to begin or further your career in a rewarding and nurturing environment.

Childcare Practitioner (Level 2 or Level 3) Location: Surbiton, London Hours: Full-time Salary: Competitive, dependent on experience and qualification We are a warm, welcoming nursery in Surbiton, looking for a passionate and caring Level 2 or Level 3 Childcare Practitioner to join our supportive and friendly team. If you love working with children, value high-quality early years education, and want to be part of a nursery that truly puts children and staff first, we would love to hear from you. The Role As a Childcare Practitioner, you will: · Provide a safe, nurturing, and stimulating environment for children aged 0-5 · Support childrens learning and development in line with the EYFS framework · Plan and deliver engaging activities based on childrens individual needs and interests · Build positive relationships with children, parents, and colleagues · Observe, assess, and contribute to childrens learning journals · Ensure safeguarding and health & safety procedures are followed at all times What Were Looking For · A Level 2 or Level 3 qualification in Childcare / Early Years (or equivalent) · A genuine passion for working with young children · A caring, positive, and enthusiastic approach · Good communication and teamwork skills · Knowledge of EYFS and safeguarding (training can be provided) · Previous nursery experience is desirable but not essential for the right candidate What We Offer · Competitive salary with regular reviews · Supportive management and a friendly team environment · Ongoing training and professional development opportunities · Opportunities to progress within the nursery · Pension scheme · Paid holidays - 25 days plus bank holidays · A nursery that values staff wellbeing and work-life balance Safeguarding Our nursery is committed to safeguarding and promoting the welfare of children. All appointments are subject to an enhanced DBS check and satisfactory references. To apply: Please send your CV to

Join Our Team at Busy Bees – Leading Nursery Group in the UK \n As a Level 3 Qualified Early Years Assistant, you’ll be at the forefront of delivering outstanding care and education to children at Busy Bees. Your expertise will play a key role in supporting the development of our Bee Curious curriculum, while guiding and mentoring unqualified team members. This role is ideal for individuals who are passionate about early years education and are looking to take on greater responsibility in a thriving and supportive setting. \n About Us Busy Bees is the UK's leading nursery group, with nearly 400 nurseries across the UK and more overseas. We are dedicated to giving every child the best start in life and are proud to have won awards for our workplace culture. At Busy Bees, we ensure that every member of our team feels heard, valued, and nurtured. \n Why Work at Busy Bees? We offer a supportive environment that empowers you to create engaging, educational spaces where children can thrive. As part of our team, you’ll be introduced to our unique Bee Curious curriculum, designed to foster curiosity and confidence in young learners. \n Our Charitable Commitment Through our partnership with BBC Children in Need, we offer fantastic opportunities for community involvement and fundraising to support children's lives. About our Nursery Busy Bees Twickenham Teddington, rated Good by Ofsted, accommodates 77 children in a boutique nursery located in a large, converted home within a residential area of Teddington. Our nursery is thoughtfully separated into four spacious rooms catering to babies, 1-2-year-olds, toddlers, and preschoolers. Just an 8-minute stroll from Teddington High Street, many of our parents live nearby and walk to the nursery, but we are also well-positioned for those using public transport, with multiple bus routes serving Teddington High Street and Teddington Train Station only a 7-minute walk away, offering South Central services into London Waterloo.We pride ourselves on providing top-quality childcare, featuring nutritious meals with a 5-star rating from the EHO and a recently refurbished garden that includes a large outdoor space and a separate safe area for babies. Our cozy baby room is equipped with an attached sleep room, and we have a total of four childcare rooms across two floors. Our long-standing staff members bring up to 15 years of experience, ensuring quality care and support for every child. Additionally, we offer extracurricular activities such as sports and dance, and we regularly welcome visits from the police and fire department, as well as a pottery club that joins us for annual celebrations. Busy Bees Benefits \n\n • Competitive salary\n, • Ongoing professional development and career progression \n, • Our ‘Hive’ benefits and wellbeing hub, with discounts across a huge range of retailers \n, • Up to 28 days holiday per year (including bank holidays)\n, • Your birthday off – it’s our gift to you!\n, • Enhanced family leave and return to work bonus\n, • Menopause support through Peppy \n, • Financial support through Salary Finance \n, • Employee Assistance Programme and Mental Health First Aiders\n, • Cycle to Work scheme \n, • Easy access to your workplace pension through Cushon\n What to Expect as a Relief Early Years Educator: • Assist in planning and delivering educational activities that promote children's development., • Create a safe, stimulating, and inclusive learning environment., • Take on the role of Key Person, fostering strong partnerships with children and their families., • Level 3 qualification in early years education., • Experience working with children under 5., • Empathy and understanding – each child is unique. Start your rewarding career in early childhood education today—apply now!

Nursery Room Leader Surbiton, London Full-time / Permanent Competitive salary (depending on experience & qualifications) We are looking for a passionate and experienced Nursery Room Leader to join our friendly, supportive team at our well-established nursery in Surbiton. If you are a confident early years professional who enjoys leading a room, inspiring others, and creating exciting learning opportunities for children, we would love to hear from you. The Role As a Room Leader, you will: · Lead and inspire a team within your room · Plan and deliver engaging, age-appropriate activities in line with the EYFS · Ensure childrens learning and development is well supported and monitored · Build strong relationships with parents, carers, and colleagues · Maintain high standards of safeguarding, health, and safety · Support and mentor practitioners to achieve their best What Were Looking For · Level 3 Early Years qualification (or above) · Previous experience as a Room Leader or senior practitioner · Strong knowledge of the EYFS and child development · Excellent communication and leadership skills · A genuine passion for working with young children · Enhanced DBS (or willingness to obtain one) What We Offer · A supportive management team and welcoming environment · Ongoing training and career progression opportunities · Competitive salary and benefits · Staff discounts / wellbeing initiatives (amend as needed) · A nursery that values quality care, teamwork, and work-life balance How to Apply To apply, please send your CV to We are committed to safeguarding and promoting the welfare of children and expect all staff to share this commitment.

Higher Level Teaching Assistant (HLTA) - £120 - £140 per day - Term-Time Contract Are you an experienced teaching assistant passionate about supporting young learners in a vibrant secondary school environment? If so, this opportunity in London could be perfect for you! A well-regarded Secondary School in the Borough of Kingston is seeking Higher Level Teaching Assistants (HLTAs) to join their team ASAP. This is a term-time only role paid on a daily rate. What will this HLTA position involve? * Delivering planned learning activities and supporting children both in and out of the classroom * Taking responsibility for whole classes in the absence of teachers * Supporting children with additional learning needs and promoting inclusion * Collaborating with teaching staff to contribute to lesson planning and children's progress * Assisting with assessment, monitoring, and reporting on pupil development Please read on below to find out more about this HLTA opportunity ABOUT THE ROLE * Supporting teaching and learning across key stages * Leading classes when required and assisting teachers in delivering curriculum * £120 - £140 per day - Term-Time Contract (Daily pay based on experience) * ASAP Start - Term Time Only - Full Time availability preferred * Based in the London Borough of Kingston ABOUT YOU * HLTA qualification or equivalent experience * Proven experience working with children * Confident in managing whole classes and delivering learning activities * Strong communication and organisational skills * Committed to supporting children's educational and social development ABOUT THE SCHOOL * Well-regarded Secondary School * Inclusive and supportive community focused on pupil success * Opportunities for professional development and progression * Located in Kingston If you are interested in this HLTA opportunity, trial days / interviews can be arranged ASAP! Apply for this Higher Level Teaching Assistant role by clicking apply, your CV will then be sent to Charlie at EdEx. You will be contacted if shortlisted (within 24 hours). Higher Level Teaching Assistant (HLTA) - £120 - £140 per day - Term-Time Contract INDTA

Learning Support Assistant Richmond £108.68 - £118 per day Start Date: ASAP Contract: Full time, long-term temporaryLong Term Futures is seeking a compassionate and proactive Learning Support Assistant to provide dedicated 1:1 support to students with Autism Spectrum Disorder (ASD) and additional Special Educational Needs. This role focuses on supporting pupils with complex needs, including behavioural challenges, emotional regulation, and communication barriers within a supportive Richmond-based school.This position is ideal for someone who is passionate about SEN, has experience working with vulnerable learners, and is committed to making a meaningful impact on students' development and wellbeing.About the Role:* Supporting pupils with a range of SEN including ASD, SEMH, and communication needs * Providing consistent emotional support and promoting positive behaviour strategies * Delivering tailored 1:1 support and small group interventions * Working within specialist SEN provisions and adapted learning environments * Supporting students to overcome barriers to learning and engage in education * Using structured approaches to support focus, routine, and independenceIdeal Candidate Profile* Experience supporting pupils with SEN, particularly ASD and SEMH needs * Understanding of behaviour management and emotional regulation strategies * Strong communication skills with the ability to build trust with vulnerable pupils * Patient, resilient, and empathetic approach * Experience in education, care, or support settings is highly desirableWhy Work with Long Term Futures?* Long-term SEN-focused placements offering stability and development * Weekly pay via our streamlined digital system * Free CPD including SEN, Behaviour Management, and SEMH training * A dedicated consultant providing ongoing support and guidanceNext StepsApply today with your CV. Shortlisted candidates will be contacted by David at Long Term Futures. If you are not contacted within 5 working days, please assume your application was not shortlisted.Long Term Futures is committed to safeguarding and promoting the welfare of children and young people. All applicants will be subject to safer recruitment checks including an enhanced DBS check and satisfactory references.

Are you interested in Learning Support Assistant Roles West London Area? Morgan Hunt are pleased to announce that we are working with several Colleges and Sixth forms across the county on a preferred supplier basis. Together we are seeking to appoint Learning Support Assistant- apply today!Job Title: Learning Support AssistantJob Type: TemporaryLocation: West West LondonIndustry: EducationLength of contract: Temporary - OngoingKey responsibilities- 1. To provide effective support for individual or groups of students in a classroom setting covering a range of levels and subjects. 2. To identify opportunities for the student(s) to work independently where appropriate, ensuring their comfort and safety at all times; at such times to support other students in the classroom as appropriate. 3. To keep accurate records of the support provided and the students' progress and attendance, monitoring if adjustments are consistently made in class. 4. To encourage the student(s) to interact with others and engage in activities led by the lecturer. 5. To assist with the general pastoral care of the student(s). 6. Provide support for students' emotional and social needs by encouraging and modelling positive behavior in line with the College's Behavior Policy, and demonstrating high expectations of work and behavior. 7. Work with students to reinforce learning by practicing skills already taught. 8. Accompany lecturers and students on College visits, and participate in college functions within College hours.Skills & experience- 1. Possess or be willing to work towards a Literacy and Numeracy qualification at Level 2 or above. 2. Possess an appropriate support qualification or be willing to undertake training to gain relevant qualification required. 3. Possess appropriate IT skills relevant to the post, including a basic knowledge of Microsoft Word and Outlook and the ability to complete searches on the Internet. 4. Have the ability to work independently with minimum supervision. 5. Be able to demonstrate the motivation and skills to support students with disabilities and/or learning difficulties in an educational setting. 6. Have previous relevant experience. 7. Be willing to undertake training and development as required within the role. 8. Be able to demonstrate excellent communication and teamwork skills 9. Possess basic knowledge of First Aid, food hygiene and Health and Safety or be willing to undertake training. 10. Have an awareness and understanding of equal opportunities 11. Have an awareness of the safeguarding and prevent initiatives If you are interested in working in the Learning Support Assistant in West London, please apply to this advert with a CV today and a consultant will contact you! Morgan Hunt is a multi-award-winning recruitment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to temporary vacancies. Morgan Hunt is an equal opportunities employer, job suitability are assessed on merit in accordance with their skills, qualifications and abilities to perform the relevant duties required in a particular role.