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Role Overview: Join the UK’s leading nursery group Step into a rewarding leadership role with Busy Bees. As a Room Leader, you’ll guide and inspire your team, ensuring outstanding care and learning while bringing our educational approach to life across the nursery. Busy Bees is the UK’s largest nursery group, with nearly 400 nurseries across the UK and overseas. We’re passionate about giving every child the best start in life and proud to be recognised for our positive, inclusive workplace culture—where every team member feels valued and supported. Our Ofsted-rated Good Watford nursery cares for up to 46 children and is led by a small, dedicated team committed to exceptional childcare. Located on the grounds of Watford Hospital, we offer excellent transport links, flexible shifts, and free on-site parking—making your workday that little bit easier. We believe great people deserve great rewards, including: * Competitive salary and clear career progression * Up to 28 days’ holiday (including bank holidays) * Your birthday off – on us * 50% childcare discount * Ongoing professional development and training * Enhanced family leave and return-to-work bonus * Access to our Hive benefits & wellbeing hub with wide-ranging retail discounts * Financial wellbeing support (Salary Finance, pension via Cushon) * Employee Assistance Programme and Mental Health First Aiders * Cycle to Work scheme and discounted private medical insurance * Free uniform, discounted lunches, and free on-site parking * Opportunities to work internationally and learn from other Busy Bees settings Our Hive platform also gives you access to wellbeing resources, recognition schemes, and tailored development opportunities—helping you grow, thrive, and feel truly appreciated at Busy Bees. Join us and help shape bright futures—starting with your own Role Responsibilities: 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.

Role Overview: 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. 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 Join Busy Bees at our Watford nursery, proudly rated Good by Ofsted, with a capacity for 46 children. Our small, dedicated team is passionate about providing exceptional care and learning experiences. Conveniently situated on the grounds of Watford Hospital, we have excellent transport links, including a bus stop right outside serving Hemel Hempstead and Holywell, plus Watford Junction and Watford High Street train stations just a 10-minute walk away. Staff benefit from flexible shifts and ample free on-site parking. Come and be part of our nurturing team, where quality childcare and child development come first! 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), • Opportunities to travel to other countries, experience different cultures and learn new practices., • Free onsite parking (Paid for by Busy Bees), • Discounted lunch in the restaurant, • 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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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.

Registered Manager – Potters Bar, HertfordshireResidential Care | Adults with Autism, Mental Health & Learning DisabilitiesSalary: £35,000 annum | Permanent | Full-time.

Registered Nurse, Physiotherapist, Occupational Therapist, Paramedic Personal Independence Payment (PIP) Assessor Office Hours Monday to Friday Are you an RGN or Mental Health Nurse (RMN) or Registered Nurse Learning Disabilities (RNLD) who is looking to diversify your career from a traditional hands on role? Are you looking to transform your career towards the Occupational Health or Functional Health Industry? Are you seeking a role where you can transfer your specialist skills to support the general public in a different environment? Our client's teams across the UK support people to improve their skills, employment, health and wellbeing. My client is looking for registered nurses to join their team in Islington. This role is Hybrid, where you will work from home and then work in the office. Day to Day As a PIP Functional Assessor, you will assess a wide range of clients with complex health issues, you will undertake either a face-to-face or telephone assessment, you will use a wide range of information to create a report which is sent to the Department of Work and Pensions (DWP). You will assess up to 4 individuals per day. Your Requirements You will have a full and clear NMC/HCPC and have 1 years post registration experience. You will have excellent written and verbal communication skills. This role will maintain your NMC/HCPC registration and you will receive revalidation support throughout your career. Your Development You will receive industry leading training which will last for approximately six months, following this, you will continue to receive Continuous Professional Development (CPD) and have an opportunity to develop your career.

Autism Assessor (Children & Young People) Location: Hybrid – In-person with some remote working – clinic location to be agreed Hours: Full-time, flexible across weekdays - do talk to us about your availability Contract Type: Permanent Salary: £51,883 - £55,690 (pro rata), depending on experience About Held Health Held Health provides specialist neurodevelopmental assessments and emotional wellbeing support for children, young people and their families. Our experienced, multidisciplinary teams work across the UK to deliver high-quality, timely care that recognises the whole child, not just a diagnosis. We’re building something different — a team culture where clinicians are valued, heard and supported to thrive. We are now looking for experienced Autism Assessors to join our growing neurodevelopmental team, contributing to the delivery of gold-standard autism assessments for children and young people. The Role As an Autism Assessor, you will work within a multidisciplinary team to deliver autism assessments in line with NICE guidance and national best practice. Most assessments will be conducted in-person in agreed clinic spaces in the Manchester area, with flexibility for some remote work depending on the patient needs. You will: • Conduct structured developmental interviews with parents/carers (e.g. ADI-R, ACE)., • Deliver play-based and observational assessments with children and young people (e.g. ADOS-2)., • Contribute to diagnostic decision-making through multidisciplinary team (MDT) discussions., • Liaise with schools and other professionals to gather collateral information., • Write clear, child-centred clinical reports that reflect the strengths, needs, and any diagnosis., • Provide feedback to families sensitively and clearly., • Maintain accurate records in line with professional and regulatory standards., • Participate in regular supervision, team meetings, and reflective practice., • Help shape and improve our autism assessment pathway as we grow. Who We’re Looking For You are a compassionate and skilled clinician with experience in autism assessments and a commitment to family-centred care. You will be comfortable working independently but also value collaborative input from your multidisciplinary colleagues. Essential: Professional qualification and registration in one of the following: • Clinical, Counselling, Educational Psychologist (HCPC), • Occupational Therapist (HCPC), • Speech and Language Therapist (HCPC), • Mental Health or Learning Disability Nurse (NMC), • Paediatrician (GMC), • At least 2 years’ experience in autism assessments for children and young people., • Experience with one or more of the following: ADOS-2, ADI-R, 3Di, ACE., • Strong report writing and communication skills., • Commitment to safeguarding and ethical clinical practice., • Clear Enhanced DBS (or willingness to obtain one). Desirable: • Trained in ADOS-2 and/or developmental history tools (e.g. ADI-R)., • Knowledge of co-occurring conditions and differential diagnoses., • Experience in neurodevelopmental or CAMHS settings., • Familiarity with multidisciplinary working and NICE guidance., • Ability to adapt assessments for online delivery where appropriate. What We Offer • Flexible working arrangements with autonomy and support, • Opportunities to contribute to service development, • Regular clinical supervision and MDT case discussion, • Access to CPD and professional development support, • Supportive and values-led team environment, • Competitive salary and transparent progression Your Compensation and Benefits: • Salary £51,883 - £55,690 (pro rata), DOE, • Company Pension scheme where applicable, • Holidays – 34 including bank holidays Pro Rata, • Induction Programme, • Opportunities for professional learning and development with career advancement, • Supportive and collaborative work environment, including a proactive Multi-disciplinary Team, • Dedicated regular clinical supervision for our full-time roles - creating a safe, reflective space with clear boundaries, tasks, and expectations. This person-centred focus allows our staff to feel heard, supported, and equipped to grow in their roles., • Maternity / Paternity / Adoption Leave, • Regular Team events, • Cycle to work scheme How to Apply To express interest, please submit your CV and a short covering note explaining why you would like to join Held Health. If you’d like to discuss the role before applying, we’d be happy to arrange an informal conversation. We are committed to equality, diversity, and safeguarding in all areas of our work. All successful applicants will be subject to enhanced DBS and background checks and must provide references.

Maintain and update the central Learning Hub/Intranet page with fresh relevant content and craft engaging communications to promote learning opportunities. Support change-related learning through project management content creation and delivery of initiatives to ensure consistent understanding and a

Autism and associated learning needs.

🌟 Life Insurance Adviser (Consultative – High-Net-Worth Clients) This is a rare opportunity to join one of the UK’s most respected names in Financial Services - a firm with nearly three decades of success providing thoughtful, high-quality advice to high-net-worth clients. You’ll be part of a business that believes in professionalism over pressure, depth over volume, and lasting relationships over one-off sales. 💼 The Opportunity You’ll join a highly successful mortgage division that consistently generates warm, qualified introductions to a dedicated team of protection advisers. With thousands of loyal existing clients and a steady flow of new ones, you’ll have the perfect balance of opportunity and stability. This is a consultative, relationship-driven role - focused on helping clients make well-informed, confident decisions about protecting their wealth, health, and families. 🤝 What Makes This Different • Truly consultative environment – no cold calling, no high-pressure sales, • Warm, qualified leads from a trusted HNW client base, • Six-figure OTE that’s genuinely achievable, • Long-term client relationships and exceptional retention rates, • Strong culture of trust, learning, and professional development 🔍 Your Role • Deliver tailored advice on Life and Protection solutions through structured, high-quality telephone consultations, • Work exclusively with pre-qualified, high-net-worth clients, • Conduct in-depth fact-finds to understand each client’s unique needs and priorities, • Provide clear, thoughtful recommendations with full compliance and documentation, • Build enduring relationships as a trusted adviser, not a product seller, • Engage in a structured training and development pathway to support long-term career growth 🌱 What You’ll Bring • Experience in Life Insurance or Protection advice, • A strong commitment to client care and ethical practice, • Excellent communication and listening skills, • The ability to simplify complex options and build client confidence, • A mindset focused on long-term value, not short-term wins 💷 What’s on Offer • Competitive base salary with clear progression, • Excellent, achievable commission structure, • Comprehensive benefits (pension, generous holidays, perks), • Supportive, collaborative team culture - no internal competition, • A respected brand, outstanding client base, and a business that invests in its people If you’re ready to move away from transactional work and into a role where your expertise and professionalism are genuinely valued - this is your opportunity.

Performance Portfolio Manager Permanent (Hybrid) Located in Watford or Coventry Competitive salary and bonus potential + more! Corona Energy is a leading independent supplier of gas and electricity to UK businesses. We currently serve around 13,000 customers, representing 14% of the industrial and commercial gas market. At the heart of our business is our people — and we are proud to be recognised for delivering outstanding service, building inclusive teams, and creating opportunities for growth and develop. About the role: As Performance Portfolio Manager, you will play a pivotal role in ensuring Corona Energy’s portfolio is managed effectively, accurately, and in line with commercial and regulatory standards. This means: • Minimising value erosion to the business., • Consistently achieving industry performance standards., • Driving continuous improvement to support our growth strategies. You will lead a team of Operational Analysts and work collaboratively across operations, customer service, and technical functions — ensuring a seamless and impactful experience for our customers. Key responsibilities: • Manage, develop, and support a team of analysts to maintain a healthy, accurate and timely industry portfolio., • Lead all aspects of people management for the Data Team, including performance reviews, training plans, and team development., • Ensure industry performance standards, compliance, and KPIs are consistently met., • Build and embed a continuous improvement framework to enhance regulatory performance and customer experience., • Analyse and present monthly performance updates, providing insights and recommendations to senior management., • Identify and mitigate regulatory, operational, and commercial risks, while developing contingency plans., • Evaluate and negotiate with third-party vendors to ensure best value and compliance., • Lead cross-functional collaboration to streamline operations and reduce costs., • Coach, mentor, and support team members, driving knowledge-sharing and professional development. The ideal candidate will have: • 5+ years’ experience in energy industry operations roles, with 2+ years in people management., • Deep knowledge of the energy operations processes., • Proven ability to manage teams, drive change, and deliver to tight deadlines., • Strong strategic thinking, with the ability to align operational delivery to commercial goals., • Excellent communication skills, able to simplify complex issues for both technical and non-technical stakeholders., • Commercial acumen, with experience in budgeting and vendor management., • Proven track record of leading projects successfully from start to finish. Benefits package offered: • Competitive salary and performance-based profit share bonus, • Enhanced pension scheme, • Generous annual leave, • Private medical insurance, life insurance, income protection and dental, • Electric car salary sacrifice scheme, • Day off on your birthday, • Free breakfast, snacks, and fruit in the office, • Free parking and a modern, community-focused office, • Access to an online learning platform and career development support, • Legendary company parties and a vibrant workplace culture At Corona Energy, we believe that diversity and inclusion are essential to driving innovation and discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. As a Disability Confident Employer, we ensure that everyone can apply and be part of our recruitment processes and so we will make reasonable adjustments if you need them.

QA Analyst Introduction This is a chance to join a large-scale technology transformation with real-world impact. You’ll play a key role in shaping high-quality digital systems that support a nationally recognised platform and help fund good causes across the UK. Role Overview: • Location: Watford (hybrid – 3 days per week in the office), • Package: £43,000 salary + benefits, • Industry: Technology / Gambling / Lottery What You’ll Be Doing: • Reviewing requirements, designs and technical architecture through a quality-first lens, • Planning, designing and executing testing across complex, mixed-technology systems, • Supporting the definition of test strategies alongside QA Leads and wider delivery teams, • Identifying opportunities for test automation and exploratory testing, • Executing tests, managing defects, tracking results and reporting progress clearly, • Acting as a subject matter expert for at least one core system or application, • Driving continuous improvement across QA processes, tools and ways of working, • Supporting QA Leads when required and sharing specialist knowledge across the team, • Ensuring QA standards and processes are followed consistently, • Building strong domain knowledge across retail, digital and regulated environments Main Skills Needed: • Solid background in QA and testing methodologies, including functional and structural testing, • Strong experience working with SQL, Postman, Putty and Windows/Unix environments, • Hands-on use of tools such as Jira, TestRail, Confluence or similar, • Proven ability in requirements validation, risk-based testing and estimation, • Experience managing test environments and test data end to end, • Good understanding of internet technologies and distributed systems, • Confidence communicating with technical and non-technical stakeholders, • Industry certifications such as ISTQB (or equivalent) What’s in It for You: • The chance to work on high-profile, large-scale systems with real societal impact, • Exposure to a wide range of projects – from small focused pieces to multi-year programmes, • A quality-led culture that values best practice and continuous improvement, • Hybrid working with a clear balance between collaboration and flexibility, • A supportive, inclusive environment that invests in learning and development Call to Action: If you’re nodding along, let’s take the next step. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

This is a full time position for 40 hours a week. We are open to part time/job share applications Company Description Parasol Homes is a Registered Provider, specialising in the delivery of supported housing and general needs social housing across England. We work closely with Local Authorities, support providers and communities to ensure that vulnerable individuals have access to safe, secure and well-managed homes. Our portfolio includes homes for people with learning difficulties and mental health conditions as well as high quality general needs housing for individuals and families. At Parasol Homes, we believe that housing is more than just a roof over your head; it’s the foundation for dignity, independence and strong community. Job Overview We are seeking a person centered and proactive individual who shares our values, to join our Operations team as Resident Liaison Officer to act as the point of contact between the housing association and its residents. This role involves addressing and coordinating all complaints and compliments, managing communication with residents, and overseeing warnings and evictions to ensure a positive living environment that enables Residents to thrive, feel supported and informed within their homes. Responsibilities • Foster positive relationships with residents, acting as a trusted liaison between the housing association and the community., • Support the development and implementation of communication strategies to keep residents informed about policies, services, and community events., • Act as a first point of contact for housing managers and the housing team requiring day to day support with warnings and evictions., • Carry out any evictions process in a lawful and well documented manner ensuring that residents, care/support providers and appointees are kept up to date., • Represent the business at any court hearings to include but not limited to tenancy eviction/tenancy termination hearings., • Coordinate the management and resolution of resident complaints and compliments, ensuring timely and effective responses., • Support with development and application of reporting processes and data recording information to housing functions. Requirements • Experience of working within housing, • Good understanding of tenancy law, • Experience of housing and tenancy management, • Good understanding of the housing benefit system, • Understanding the importance of housing standards in particular compliance around health & safety and fire checks within social housing, • Experience of liaising and building relationships with agencies, • Good standard of education with good literacy, numeracy and IT skills, • Full UK driving license, • Ability to work collaboratively, • Ability to work with tight deadlines in an intense environment, • Ability to work in a fast paced environment and be reactive to change, • Committed to customer satisfaction. Are you a confident individual with the drive and passion to deliver a first-class service to the business and work independently on a day-to-day basis when required? If you want to work in an environment where every day you work together as a team to make a real difference to someone’s life, we would love to hear from you. Closing date for applications: 07 February 2026 Interviews to be completed during the week commencing: 16 February 2026

Quest Search & Selection are looking for a Buyer to develop, implement, and review a category plan that leverages scale and supplier efficiency to reduce costs, optimise terms, and improve profitability. In this role you will be negotiating contracts with strong product availability & margins. This business is a leading B2B supplier & retailer here you will be part of a large international organisation with a highly influential marketing power with sustainable and progressive financial results. In this position your responsibilities as a Buyer include: • Manage category negotiations with line manager support., • Prepare presentations for sign-off., • Support Assistant Buyer for development and daily tasks., • Deliver budget and scheme forecasts., • Identify risks and engage stakeholders to manage impact., • Develop supplier strategies and secure agreements., • Create competitive promo plans and maximise promotional investment., • Assess suppliers, manage relationships, and resolve issues., • Identify seasonal product opportunities and manage exit/clearance., • Stay informed on product/market changes and implement mitigation plans. To be successful in this Buyer position you must have: • Ideally having 2–3 years’ + successful retail buying background, • Ideally you have experience within food, drink fmcg, health & beauty, however other backgrounds will be considered etc, • That you have established negotiation experience within a recognised brand, • Experience analysing and interpreting data, • Experience prioritising workloads and meeting deadlines, • Experience collaborating with multiple stakeholders, • Proficient in Excel; competent in Outlook, PowerPoint, and Word The benefits on this Buyer position include: • 10% Bonus, • Hybrid working (3 days WIO), • Private healthcare, • 25 days holiday, • Free Gym, • Strong pension contribution, • Learning &Development opportunities If you feel that this opportunity sounds like you and you Buyer experience, please send your cv quoting the reference no. JO-2511-115313

Company Description Earnings from £25000-£30000+ OTE per annum The Atlas Collective is the UK's leading and award winning Sales and Marketing Agency specialising in providing brand awareness, customer acquisitions and customer retention through face-to-face sales and marketing solutions. We are currently representing the UK's leading brands in the telecommunications, energy, farm produced food delivery and non profit organisations. Why Join Us? ✅ Uncapped Earnings: Your income reflects your performance—no limits, just results. ✅ Career Growth & Development: Access to top-tier training and mentorship to sharpen your skills and accelerate your success. ✅ Supportive Team Culture: Join a motivated network of professionals who encourage growth and celebrate achievements. ✅ Personal & Professional Development: Ongoing coaching to help you build confidence, refine your sales approach, and develop leadership skills. The Role: 🔹 Face-to-Face Customer Acquisition: Engage directly with potential clients, building strong relationships and creating personalized solutions to meet their needs. 🔹 Immediate Feedback & Results: Benefit from real-time customer interactions, allowing you to refine your approach and close sales more effectively. 🔹 Trust & Credibility: Establish stronger connections with clients through in-person engagement, increasing conversion rates and long-term loyalty. 🔹 Work in Collaboration with a High-Performing Team: Be part of a dynamic, goal-driven sales force that supports, motivates, and drives each other toward success. 🔹 Continuous Learning & Development: Leverage industry-leading training, coaching, and mentorship to refine your skills and accelerate your career growth. We have an in-house Leadership and Management programme for the future company and industry leaders. Role Description This is a full-time on-site Trainee Sales Executive role located in Watford. The specialist will be responsible for communication, customer service, sales, training, and sales management tasks to drive business growth and customer satisfaction. Qualifications • Strong Communication and Customer Service skills, • Sales and Sales Management experience, • Leadership experience, • Excellent interpersonal skills, • Ability to work effectively in a face-to-face setting, • Ideally have a Bachelor's degree in Marketing, Business, Project Management or related field This is a self-employed, performance based position. We provide the training, resources, and support to help our team achieve high earnings that reflect their performance. A growth mindset and strong work ethic are essential for success in this role. Those who are proactive, adaptable, and willing to continuously develop their skills will thrive in this high-reward environment.

Company Description Oak Lee Montessori School was established to cater to the needs of families seeking a high-quality education setting with flexible session timings. Committed to fostering an enriching learning environment, the school emphasizes personalized attention and the Montessori philosophy. With a focus on holistic development, Oak Lee Montessori School provides a supportive and nurturing space for young learners. The school is dedicated to enabling children to thrive and reach their full potential during early years education. Role Description This is an on-site full-time role for an Early Years Educator covering maternity leave at Oak Lee Montessori School, located in Pinner. The position involves planning and facilitating engaging and developmentally appropriate lessons based, creating a positive learning environment, and supporting children's educational, social, and emotional growth. The Educator will also engage in daily communication with parents, ensure children’s safety and wellbeing, and collaborate with other staff members to maintain high standards of care and education. Qualifications • Proficiency in Lesson Planning and Teaching, with the ability to deliver engaging and age-appropriate content, • Educational background and experience in Early Childhood Education, with Montessori experience will be useful but not necessary., • Strong communication and interpersonal skills to build positive relationships with children, parents, and team members, • A relevant qualification in Early Years Education (e.g., NVQ Level 3 or equivalent), • Passion for child development and a patient, caring approach, • Understanding of safeguarding policies and procedures, • First Aid certification is an advantage

Entry Level Management Trainee Watford | Full-Time | In-Person Step Into a Career with Real Growth Potential At The Atlas Collective, we believe success is built — not handed out. That’s why we’re offering one ambitious individual the chance to begin an exciting, hands-on career journey as an Entry Level Management Trainee in Watford branch. If you’re motivated, people-focused, and ready to learn, this role offers the ideal foundation to develop valuable business, sales, leadership, and communication skills. No prior experience is needed — just a great attitude and the drive to succeed. About the Role As an Entry Level Management Trainee, you’ll be introduced to every aspect of how our business operates. This face-to-face role gives you the opportunity to work directly with customers, support daily operations, and develop a strong understanding of sales and leadership from the ground up. You’ll receive structured training, on-the-job coaching, and guidance from experienced mentors who will help you grow your confidence, skillset, and career potential. What You’ll Be Doing: • Engaging with customers directly at event sites, retail spaces, or pop-up locations, or residential areas delivering excellent service and building positive first impressions., • Presenting products and services confidently, answering questions, and helping customers find the best solutions for their needs., • Learning the full sales cycle — from lead generation and outreach through to closing sales and managing ongoing relationships., • Collaborating with team leaders to plan and execute sales strategies that boost performance and meet daily and weekly goals., • Assisting with team management tasks such as training new starters, supporting group targets, and tracking progress across campaigns., • Analysing performance data and customer feedback to identify patterns, improve processes, and share insights with senior staff., • Contributing to company projects that strengthen customer experience, brand awareness, and team results. What We’re Looking For: • Strong communication skills and a friendly, approachable personality., • Eager to learn, adaptable, and open to feedback., • A self-starter who enjoys being part of a motivated team., • Organised and dependable with a proactive attitude., • No previous experience required — full training provided., • Must be eligible to work in the UK and available to work in-person in Watford. What You’ll Gain: • A structured training and mentorship programme with ongoing support., • Clear opportunities for career progression into leadership and management roles., • Weekly pay, performance incentives, and recognition for results., • Practical experience in sales, leadership, and business operations., • A supportive and collaborative environment that values development and ambition. Why Join The Atlas Collective? We’re a team built on passion, integrity, and personal growth. Everyone here started somewhere — and with the right attitude, you can go far. Whether you’re just starting out or looking for a new challenge, we’ll help you develop the skills and confidence to build a career that lasts. Apply Now Ready to take your first step toward a future in leadership? Join The Atlas Collective as an Entry Level Management Trainee in Watford today and start shaping your success story.

Client Relationship Manager Join a forward-thinking property management business known for its meticulous standards, strong client partnerships, and smart, people-first approach. This role is central to ensuring each development in your portfolio runs smoothly, with great service, solid compliance, and genuine customer care at its core. Role Overview: • Location: Hybrid/Borehamwood. Office-based Mondays & Fridays, flexible mid-week (home or site)., • Package: £40,000- £45,000pa & benefits, • Industry: Property & Asset Management What You’ll Be Doing: • Oversee the day-to-day management of residential developments, ensuring a first-class service to clients and residents., • Lead on mobilisation for new contracts — coordinating with key stakeholders and ensuring all processes are completed accurately and on time., • Take ownership of risk management, maintaining detailed audit trails and ensuring full compliance with health, safety, and legal requirements., • Manage contractor relationships, tendering, implementing, and reviewing contracts to ensure value for money., • Support financial management across your portfolio, including budget preparation, service charge oversight, and client reporting., • Act as a brand ambassador, providing proactive, empathetic customer service and ensuring all interactions reflect the POD values., • Work collaboratively with colleagues to continuously improve processes, compliance standards, and client satisfaction. Main Skills Needed: • Experience working within Block, Facilities or Residential Management is essential., • 2+ years of experience as a Client Relationship Manager., • Strong understanding of risk management, compliance, and contract administration., • Confident communicator, able to liaise effectively with clients, residents, contractors, and internal teams., • Commercially aware with sound budgeting and financial reporting skills., • Detail-oriented, organised, and comfortable managing multiple developments simultaneously., • Tech-savvy, methodical, and committed to delivering high-quality service. What’s in It for You: • Work with a company that genuinely values its people and delivers on its promises., • A collaborative, supportive culture built around trust, learning, and shared success., • Opportunities for career progression and professional development., • Hybrid working with flexibility and autonomy., • A business that lives its values, meticulous, dedicated, smart, and supportive. Let’s talk about what your next move could look like. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

About the Company Silver Birch Care was established in 2006 to provide high-quality supported living services for looked-after young people aged 16 and over. Today, our group comprises four specialist providers — Silver Birch Care, The Beeches, Benecare, and LLUK — delivering education, accommodation, care, and tailored support to children and young people aged 6–25 years across the UK. We work in partnership with 43 local authorities and county councils and also provide direct services to HM Government Home Office. Silver Birch has become a provider of choice for many local authorities, who trust us to achieve positive outcomes for the young people placed with us. They have confidence in our ability to support children and young people to live safe, happy, and successful lives, both now and in the future. About the Role We’re looking for a proactive and confident HR Advisor to join our growing HR team, with a strong focus on Employee Relations. In this role, you’ll provide expert HR advice across a broad range of services, while acting as a trusted specialist for ER matters. You’ll work closely with managers, offering hands-on support and guidance across the full lifecycle of ER cases, from initial advice through to resolution. This is an excellent opportunity for someone who is confident managing complex cases and influencing stakeholders at all levels. The business is growing rapidly and is committed to delivering a meaningful HR transformation to support that growth. As part of this journey, we are introducing new systems including Sona (HRIS), Tribepad (ATS), and YourHippo(Learning & Development platform). These initiatives are designed to enhance the employee experience and drive greater efficiency across the organisation — and you’ll play an important role in embedding them successfully. Responsibilities- this is not an exhaustive list and a full job description is available on request • Provide pro-active support to managers on complex employee relations issues in particular attendance, disciplinary, grievance and absence meetings and advise those leading the issues on the appropriate approach, ensuring this complies with the relevant employment legislation, policies and best practice. This includes investigation and hearing packs, note taking and outcome letters., • Support our line managers to resolve individual performance/capability issues using appropriate tools, e.g. performance improvement plans and support the manager in taking swift action as appropriate., • Support the annual appraisal process, including appraisal coaching/workshops, communications to the organisation and compliance reporting., • Support the HR Administrator with the family friendly processes, including Maternity, Paternity, Adoption and Shared Parental Leave., • Conduct and manage the monthly sickness reporting process, working alongside the HR Advisor – Midlands/Southeast division., • Provide HR system support and maintenance including HR reporting., • Assist and oversee all HR payroll administration where required and work closely with payroll to ensure all HR information is recorded accurately., • Process and manage any people related subject access requests., • Support the HR KPI monthly and quarterly reporting process alongside the HR Administrator and proactively develop strategies for improving areas of concern., • Support HR policy reviews and development. Qualifications • A CIPD Level 5 or relevant HR qualification is desirable. Required Skills • Motivated to achieve excellence and improvement of personal performance with a positive can-do attitude., • Great attention to detail., • Ability to multi-task and prioritise responsibilities and work under pressure., • Excellent communication and strong interpersonal skills, and an ability to build strong relationships., • Commitment to continued personal development, maintaining an up-to-date knowledge of developments across the field, industry, legislation/regulations, and practice relevant to your role. Pay range and compensation package This role is advertised up to £45,000 based on experience and qualifications. Benefits • 31 days holiday (inclusive of bank holidays), • Pension with NEST Pensions, • Enjoy your birthday off, on us!, • Free parking on site, • Employee Referral Bonus – Know someone great? Refer them and earn £250 when they join and another £250 when they pass probation, • Access to Sage Employee Benefits, • 24/7 access to our Employee Assistance Program, • 24/7 access to Free Medical Assistance, • Personalised development plans Schedule Monday to Friday (09:00 - 17:00) on-site Equal Opportunity Statement We are committed to diversity and inclusivity. This role is subject to a satisfactory DBS check and referencing.

Job Description Billing Education Recruitment Manager – Harrow Office 📍 Location: Middlesex House, 130 College Road, Harrow, HA1 1BQ (Harrow on the Hill is the nearest station which is on the Metropolitan line) 💼 Contract: Full-time, Permanent 🕐 Working Hours: • Term Time: 07:00 – 17:00 (1.5-hour lunch break), • School Holidays: 09:00 – 16:00, • 💷 Salary: £40,000 – £75,000 per annum + Uncapped Commission & Bonuses, • 📌 This is a fully office-based role. Remote or hybrid options are not available. About Enlighten Supply Pool Enlighten Supply Pool is one of the UK’s leading providers of supply teachers and education support staff, with over 15 years of trusted service. Known for quality and professionalism, we pride ourselves on making meaningful matches between educators and schools, ensuring the best outcomes for both. The Opportunity We’re looking for a Billing Education Recruitment Branch Manager to lead and grow our high-performing Harrow office. This is a fantastic opportunity for someone with a proven agency recruitment background—ideally within the education or social care sectors—who is ready to take their leadership to the next level. As a Billing Branch Manager, you’ll lead a team of Consultants and Resourcers while continuing to manage your own successful desk. You’ll drive business development, mentor staff, and shape the strategic direction of the branch with the support of senior management. Key Responsibilities • Lead from the front with your own billings and client development, • Manage, inspire, and grow a team of Recruitment Consultants and Resourcers, • Develop and execute branch sales plans and strategies, • Conduct regular 1-2-1s and team meetings to support performance and wellbeing, • Hire and develop talent in line with Enlighten’s values and growth plans, • Foster a high-performing, motivated, and collaborative team culture, • Monitor team performance, providing coaching and feedback, • Maintain strong client and candidate relationships, ensuring satisfaction and quality service, • Act on feedback from our Learning & Development and senior leadership teams What We’re Looking For • Proven billing success in agency recruitment (education sector preferred), • Experience in leading or managing a recruitment team, • Strong knowledge of the education recruitment market (or similar sectors), • Results-driven, resilient, and passionate about growth and leadership, • Exceptional interpersonal and team-building skills What You’ll Get in Return • Uncapped commission structure (no threshold on personal billings), • Bonuses & branch incentives including shares in the business, • The most effective training and coaching in the industry, • Clear career progression and promotion opportunities, • Reduced working hours during school holidays, • Fun and sociable team environment with regular company events, • Dress-down Fridays and other team perks Ready to Join Us? If you're an ambitious recruiter looking to take the next step in your career, or an established manager ready for a new challenge, we want to hear from you. 👉 Apply now or reach out for a confidential conversation.

The Company: Emelec Building Services Ltd is an equal opportunities employer specialising in building services contracting across the Commercial, Industrial, Film, Medical, Retail and Leisure sectors. Our services cover all aspects of M&E installation, maintenance and compliance for commercial buildings — including new installations, repairs, modernisation and refurbishment. The Role: Reporting directly to the Director, the Facilities Manager will take ownership of a number of key hard services Facilities Management contracts. The role will involve ensuring that all planned and reactive maintenance activities are completed efficiently, safely and to the highest standards, whilst maintaining full compliance with statutory and contractual requirements. The Facilities Manager will oversee the Works Controller and a team of multi-skilled engineers, ensuring that works are delivered to meet client expectations and that Emelec continues to provide the professional, reliable service our clients have come to expect. Key Responsibilities:Contract Management · Take full responsibility for the day-to-day management of a portfolio of hard services FM contracts. · Ensure all PPM and reactive works are completed within agreed timescales, budgets and quality standards. · Manage and monitor KPIs and SLAs, ensuring continuous contract performance improvement. · Develop strong client relationships, acting as the main point of contact for contract delivery. · Ensure compliance with statutory maintenance and certification requirements including electrical testing, HVAC, fire systems, emergency lighting and water hygiene. · Ensure all relevant documentation, including RAMS, method statements and service records, are accurately maintained and up to date. · Prepare contract performance reports and present findings to the Director as required. · Manage sub-contractors and suppliers, ensuring their performance meets Emelec’s standards and that all required PQQs, insurances and accreditations are current. Legionella and Compliance · Take lead responsibility for ensuring all Legionella control measures are implemented and recorded in line with L8 and HSG274 guidance. · Oversee temperature monitoring, TMV servicing, sampling schedules and remedial actions. · Liaise with water hygiene specialists and maintain full audit trails of all documentation. · Ensure all statutory compliance requirements are understood, planned and achieved across all managed sites. · Conduct and review risk assessments as required to maintain a safe and compliant environment. People Management · Line manage the Works Controller and a team of Engineers, ensuring that workloads are balanced and that the team operates effectively and efficiently. · Support and mentor the Works Controller to ensure smooth coordination of planned and reactive works. · Oversee engineer scheduling, workload allocation and job completion through simPRO. · Promote a proactive culture of accountability, teamwork and safety awareness. · Conduct toolbox talks and ensure policies, procedures and safe working practices are followed at all times. · Identify training and development needs within the team and arrange for appropriate learning opportunities. Financial and Operational Management · Work with the Director to manage contract budgets, costs and profitability. · Review and approve supplier quotations to ensure best value for money. · Monitor and control labour utilisation, materials spend and sub-contractor performance. · Identify opportunities for contract growth and additional works through proactive client engagement. · Ensure all invoices, purchase orders and job sheets are processed accurately and in a timely manner through simPRO. Health, Safety and Environment · Maintain and promote the highest standards of health and safety across all operations. · Carry out site inspections to ensure safe systems of work are in place and adhered to. · Investigate and report on any incidents or near misses, implementing corrective actions promptly. · Support continuous improvement in safe working practices and compliance with company policies. Key Requirements: · Have proven experience in managing hard services FM contracts within commercial or industrial environments. · Demonstrate strong understanding of mechanical and electrical systems, statutory maintenance and compliance requirements. · Have sound knowledge and practical experience of Legionella management and water hygiene controls. · Possess excellent organisational and communication skills, capable of managing multiple contracts simultaneously. · Be a strong leader, capable of motivating and developing teams to deliver high-quality outcomes. · Be confident liaising with clients, suppliers and engineers at all levels. · Have experience with CAFM systems (knowledge of simPRO desirable). · Be commercially aware, with good understanding of budgeting and financial control. · Have strong attention to detail and a methodical approach to problem solving. · Be IT literate, with proficiency in MS Office (Outlook, Excel, Word). · Hold a full UK driving licence and be able to travel to sites as required. Desirable Requirements: · Relevant qualifications in Mechanical, Electrical or Building Services disciplines. · IOSH Managing Safely or equivalent H&S qualification. · Experience in managing compliance audits or statutory testing programmes. · Knowledge of AutoCAD or the ability to interpret technical drawings. Location: Watford (office-based with regular site visits)

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You’ll be responsible for embedding a robust, organisation-wide approach to mandatory and statutory training, ensuring Norwood is fully compliant with CQC standards, while also championing a values-led culture of learning and professional development. Head of Learning & Development - Stanm

Science Graduate + Teacher Training Q - Are you a graduate looking to get first-class hands-on experience in a supportive Secondary School ahead of your Teacher Training next year? If so, please read on to find out more about this Science Graduate Opportunity! A creative, holistic learning focuse

Become a Driving Instructor with My Four Wheels Earn Up to 50,000+!\n Are you looking for a career change that offers fantastic earning potential, flexibility, and job satisfaction? Join My Four Wheels, one of the UKs most trusted and highest-rated driving schools, and start your journey towards a rewarding career as a driving instructor. No previous experience is neededjust a passion for teaching and the drive to succeed! \n\n Why Choose My Four Wheels?\n \n • High earnings potential Earn up to 38,688 per year working 32 hours per week, with the opportunity to earn 50,000+ for full-time hours (40-hour week).\n, • Flexible working schedule Work when it suits you! Whether you prefer weekdays, evenings, or weekends, you set your own hours.\n, • Work locally Most of our instructors operate within a 30-minute radius of their home, reducing travel time and increasing earning potential.\n, • Your own dual-control car Choose from a range of brand-new and nearly-new vehicles, including the Ford Puma, Renault Clio, MG3, and Vauxhall Corsa, all supplied by leading UK dual-control car providers.\n, • 5-star rated driving school Join a trusted and well-established driving school with a strong track record and high learner pass rates.\n, • Teach learners of all skill levels, helping them develop safe and confident driving habits.\n, • Structure lessons to suit individual learning styles.\n, • Offer guidance and support to ensure students pass their driving tests.\n, • Have held a full UK driving licence for at least three years.\n, • Have no more than five penalty points and no driving bans in the last five years.\n, • Be reliable, punctual, and patient, ensuring students feel comfortable and supported.\n

Become a Driving Instructor – Nationwide | Earn Up to £50,000+ with My Four Wheels \n Looking for a new career with flexibility, independence and great earning potential? My Four Wheels is a 5-star rated driving school with 500 instructors already on the road nationwide — and we’re expanding across the UK. \n This opportunity is ideal for anyone considering a career change. You don’t need previous instructing experience — just a professional attitude, good people skills and the willingness to learn. We’ll train you from the start and guide you all the way to becoming an Approved Driving Instructor (ADI). \n Why this opportunity stands out \n Excellent Earning Potential (£38/hour typical lesson rates) Lesson rates average around £38 per hour, supporting strong income whether you work part-time or full-time. For example, working 32 hours per week can deliver earnings up to £39k per year, and those working 40hrs have the opportunity to reach £50,000+. \n Total Flexibility You decide when you work — mornings, evenings, weekends, or a full-time diary. It’s a career that fits around your life. \n Local Work, Less Travel Most instructors teach within 30 minutes of home, typically covering 6–8 postcodes, helping you maximise teaching time and reduce travel. \n Earn While You Train After passing DVSA Part 2, you are able to apply for a trainee licence, allowing you to begin teaching and earning sooner while completing the final stage of qualification. \n New Training Academy – Full Support Built In Our new Training Academy provides a structured route through DVSA Parts 1, 2 and 3, combining: \n\n • Flexible online learning for theory and preparation\n, • In-car coaching to build driving and teaching ability\n, • Live classroom sessions for extra guidance and confidence\n, • Hold a full UK driving licence for at least 3 years\n, • Have no more than 5 penalty points\n, • Have no bans in the last 5 years\n

Become a Driving Instructor with My Four Wheels Earn Up to 50,000+!\n Are you looking for a career change that offers fantastic earning potential, flexibility, and job satisfaction? Join My Four Wheels, one of the UKs most trusted and highest-rated driving schools, and start your journey towards a rewarding career as a driving instructor. No previous experience is neededjust a passion for teaching and the drive to succeed! \n\n Why Choose My Four Wheels?\n \n • High earnings potential Earn up to 38,688 per year working 32 hours per week, with the opportunity to earn 50,000+ for full-time hours (40-hour week).\n, • Flexible working schedule Work when it suits you! Whether you prefer weekdays, evenings, or weekends, you set your own hours.\n, • Work locally Most of our instructors operate within a 30-minute radius of their home, reducing travel time and increasing earning potential.\n, • Your own dual-control car Choose from a range of brand-new and nearly-new vehicles, including the Ford Puma, Renault Clio, MG3, and Vauxhall Corsa, all supplied by leading UK dual-control car providers.\n, • 5-star rated driving school Join a trusted and well-established driving school with a strong track record and high learner pass rates.\n, • Teach learners of all skill levels, helping them develop safe and confident driving habits.\n, • Structure lessons to suit individual learning styles.\n, • Offer guidance and support to ensure students pass their driving tests.\n, • Have held a full UK driving licence for at least three years.\n, • Have no more than five penalty points and no driving bans in the last five years.\n, • Be reliable, punctual, and patient, ensuring students feel comfortable and supported.\n

Become a Driving Instructor with My Four Wheels Earn Up to 50,000+!\n Are you looking for a career change that offers fantastic earning potential, flexibility, and job satisfaction? Join My Four Wheels, one of the UKs most trusted and highest-rated driving schools, and start your journey towards a rewarding career as a driving instructor. No previous experience is neededjust a passion for teaching and the drive to succeed! \n\n Why Choose My Four Wheels?\n \n • High earnings potential Earn up to 38,688 per year working 32 hours per week, with the opportunity to earn 50,000+ for full-time hours (40-hour week).\n, • Flexible working schedule Work when it suits you! Whether you prefer weekdays, evenings, or weekends, you set your own hours.\n, • Work locally Most of our instructors operate within a 30-minute radius of their home, reducing travel time and increasing earning potential.\n, • Your own dual-control car Choose from a range of brand-new and nearly-new vehicles, including the Ford Puma, Renault Clio, MG3, and Vauxhall Corsa, all supplied by leading UK dual-control car providers.\n, • 5-star rated driving school Join a trusted and well-established driving school with a strong track record and high learner pass rates.\n, • Teach learners of all skill levels, helping them develop safe and confident driving habits.\n, • Structure lessons to suit individual learning styles.\n, • Offer guidance and support to ensure students pass their driving tests.\n, • Have held a full UK driving licence for at least three years.\n, • Have no more than five penalty points and no driving bans in the last five years.\n, • Be reliable, punctual, and patient, ensuring students feel comfortable and supported.\n

Become a Driving Instructor with My Four Wheels Earn Up to 50,000+!\n Are you looking for a career change that offers fantastic earning potential, flexibility, and job satisfaction? Join My Four Wheels, one of the UKs most trusted and highest-rated driving schools, and start your journey towards a rewarding career as a driving instructor. No previous experience is neededjust a passion for teaching and the drive to succeed! \n\n Why Choose My Four Wheels?\n \n • High earnings potential Earn up to 38,688 per year working 32 hours per week, with the opportunity to earn 50,000+ for full-time hours (40-hour week).\n, • Flexible working schedule Work when it suits you! Whether you prefer weekdays, evenings, or weekends, you set your own hours.\n, • Work locally Most of our instructors operate within a 30-minute radius of their home, reducing travel time and increasing earning potential.\n, • Your own dual-control car Choose from a range of brand-new and nearly-new vehicles, including the Ford Puma, Renault Clio, MG3, and Vauxhall Corsa, all supplied by leading UK dual-control car providers.\n, • 5-star rated driving school Join a trusted and well-established driving school with a strong track record and high learner pass rates.\n, • Teach learners of all skill levels, helping them develop safe and confident driving habits.\n, • Structure lessons to suit individual learning styles.\n, • Offer guidance and support to ensure students pass their driving tests.\n, • Have held a full UK driving licence for at least three years.\n, • Have no more than five penalty points and no driving bans in the last five years.\n, • Be reliable, punctual, and patient, ensuring students feel comfortable and supported.\n

Become a Driving Instructor with My Four Wheels Earn Up to 50,000+!\n Are you looking for a career change that offers fantastic earning potential, flexibility, and job satisfaction? Join My Four Wheels, one of the UKs most trusted and highest-rated driving schools, and start your journey towards a rewarding career as a driving instructor. No previous experience is neededjust a passion for teaching and the drive to succeed! \n\n Why Choose My Four Wheels?\n \n • High earnings potential Earn up to 38,688 per year working 32 hours per week, with the opportunity to earn 50,000+ for full-time hours (40-hour week).\n, • Flexible working schedule Work when it suits you! Whether you prefer weekdays, evenings, or weekends, you set your own hours.\n, • Work locally Most of our instructors operate within a 30-minute radius of their home, reducing travel time and increasing earning potential.\n, • Your own dual-control car Choose from a range of brand-new and nearly-new vehicles, including the Ford Puma, Renault Clio, MG3, and Vauxhall Corsa, all supplied by leading UK dual-control car providers.\n, • 5-star rated driving school Join a trusted and well-established driving school with a strong track record and high learner pass rates.\n, • Teach learners of all skill levels, helping them develop safe and confident driving habits.\n, • Structure lessons to suit individual learning styles.\n, • Offer guidance and support to ensure students pass their driving tests.\n, • Have held a full UK driving licence for at least three years.\n, • Have no more than five penalty points and no driving bans in the last five years.\n, • Be reliable, punctual, and patient, ensuring students feel comfortable and supported.\n

Become a Driving Instructor with My Four Wheels Earn Up to 50,000+!\n Are you looking for a career change that offers fantastic earning potential, flexibility, and job satisfaction? Join My Four Wheels, one of the UKs most trusted and highest-rated driving schools, and start your journey towards a rewarding career as a driving instructor. No previous experience is neededjust a passion for teaching and the drive to succeed! \n\n Why Choose My Four Wheels?\n \n • High earnings potential Earn up to 38,688 per year working 32 hours per week, with the opportunity to earn 50,000+ for full-time hours (40-hour week).\n, • Flexible working schedule Work when it suits you! Whether you prefer weekdays, evenings, or weekends, you set your own hours.\n, • Work locally Most of our instructors operate within a 30-minute radius of their home, reducing travel time and increasing earning potential.\n, • Your own dual-control car Choose from a range of brand-new and nearly-new vehicles, including the Ford Puma, Renault Clio, MG3, and Vauxhall Corsa, all supplied by leading UK dual-control car providers.\n, • 5-star rated driving school Join a trusted and well-established driving school with a strong track record and high learner pass rates.\n, • Teach learners of all skill levels, helping them develop safe and confident driving habits.\n, • Structure lessons to suit individual learning styles.\n, • Offer guidance and support to ensure students pass their driving tests.\n, • Have held a full UK driving licence for at least three years.\n, • Have no more than five penalty points and no driving bans in the last five years.\n, • Be reliable, punctual, and patient, ensuring students feel comfortable and supported.\n

You will receive high standard quality training delivered by experienced and qualified trainers and technicians. After 10 weeks of training including classroom based learning and real experience with other qualified Technicians you will be able to work independently. Then you should join the UKs lar

This is a fantastic opportunity for an IT Technician to support digital learning within a respected Barnet secondary school. This is an excellent opportunity to work within a forward-thinking well-resourced school community. This permanent position provides strong development opportunities and the c

Learning & Development Partner Hybrid | Regional role | Strategic L&D leadership Are you an experienced Learning & Development professional who thrives on influence, challenge, and real-world impact? We’re looking for a Learning & Development Partner to act as the strategic L&

Learning Support Assistant - Key Stage 1. Are you passionate about supporting children's learning and helping them grow in confidence and independence?.