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We are Hestia. We make a difference. At Hestia, we are guided by our core values and are dedicated to fostering an equitable, diverse, and inclusive organisation. Our mission is to empower individuals to rebuild their lives and achieve independence. Right now, we are looking for a Recovery Worker to play a pivotal role in our Complex Needs Service in Ealing. Sounds great, what will I be doing? The role empowers service users to manage their wellbeing, build independence, and achieve personal goals through tailored support and co-produced plans. It involves liaising with external agencies, facilitating group and community-based activities, and promoting social inclusion. The position ensures users understand and engage with the service, while actively monitoring safety and wellbeing. Team collaboration and flexibility are essential to meeting service goals and maintaining high standards of care. What do I need to bring with me? You'll need to be able to demonstrate the core skills this role requires as well as match our values and mission. You don't have to tick all the boxes right away; the important thing is that you're willing to learn. We also value lived experience of the areas we support, so if you feel comfortable, please do mention this on your application. You will be passionate and dedicated to helping others with good empathy and a willingness to learn this role involves sleeping on site overnight between shifts and has some longer shift schedules with an element of cooking for a group you must capable and open to doing this as well Interview Steps We keep our interview process simple, so you know exactly what to expect. • Shortlisting call: We have a team of dedicated recruitment specialists who will speak to you about your experience, motivations and values. They will also tell you about all the great work we do! Our commitment to Equality, Diversity, and Inclusion Our services users come from all walks of life and so do we. We hire great people from a wide variety of backgrounds because it makes us stronger. We are committed to creating and maintaining a diverse and inclusive workforce and value the skills, abilities, talent and experiences, different people and communities bring to our organisation. We are a disability confident employer Hestia is proud to be a disability confident employer, dedicated to the employment and career development of individuals with disabilities. We offer a guaranteed interview scheme for all applicants with disabilities who meet the minimum criteria for the role they have applied for. We also provide reasonable adjustments during the selection and interview process, and throughout your employment with us. Safeguarding Statement Hestia is committed to safeguarding and promoting the welfare of adults, children and young people who are potentially at risk, and we therefore expect all staff and volunteers to do the same. We require all staff to undertake internal and external safeguarding training throughout their employment with Hestia. Important Information for Candidates If your application is successful, please be aware that you will be required to undergo pre-employment checks before a formal offer of employment can be confirmed. We reserve the right to close this job advert early should we receive a high volume of applications or if the position is filled before the closing date. We encourage interested candidates to apply as soon as possible to ensure their application is considered.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

Delightful Primary School, Hook, Hampshire area 1:1 Teaching Assistant Thursdays and Fridays only each week until July 2026 This role is for a Teaching Assistant to work on Thursdays and Fridays only, providing one-to-one support for a male primary-aged pupil in Key Stage 2. The pupil has diabetes, and the successful individual will support the student throughout the school day. Training will be provided to ensure the pupil’s medical needs are fully understood and properly supported. However, the ideal candidate must be comfortable administering diabetes-related medication and monitoring the pupil’s wellbeing as required. The position is ongoing, with the potential to continue until the end of the academic year, dependent on the needs of the pupil and school requirements. This role requires a calm, confident, and caring individual who can provide consistent support in a one-to-one setting while working closely with school staff to ensure the pupil’s safety and inclusion in learning activities. Please apply immediately as this student requires urgent support!

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

DevOps Engineer Imagine a role where your expertise sets technical direction, influences engineering culture, and shapes how modern cloud platforms are built and operated. This is an opportunity to join a forward-thinking organisation where your experience, judgement, and leadership will have a lasting impact. As a DevOps Engineer, you will play a key role in defining and advancing the DevOps strategy across the organisation. Acting as a technical authority, you will partner closely with engineering, product, and architecture teams—both onshore and offshore—to implement best-in-class DevOps practices and evolve a modern, serverless AWS platform. You will have significant influence over tooling, architecture, and ways of working, helping to mature the DevOps function and embedding reliability, security, and automation at scale. Key Responsibilities • Provide technical leadership and subject matter expertise across DevOps and cloud engineering, • Influence architectural and technology decisions, particularly within AWS serverless ecosystems, • Design, build and evolve robust CI/CD pipelines to support rapid, reliable software delivery, • Partner with development teams to ensure solutions are scalable, resilient, and production-ready, • Champion reliability engineering practices, including monitoring, alerting, and incident response, • Drive high availability and operational excellence through proactive troubleshooting and optimisation, • Define and enforce Infrastructure as Code (IaC) and Immutable Infrastructure standards, • Lead and contribute to design reviews, architectural discussions and code reviews, • Establish strong security practices, ensuring systems and data are protected by design, • Mentor and support engineers, fostering collaboration, quality, and continuous improvement, • Stay ahead of emerging DevOps and cloud technologies, introducing improvements where valuableWhat We’re Looking For, • Significant experience in DevOps or Platform Engineering roles within cloud-native environments, • Strong software engineering background, preferably with hands-on development experience, • Ability to balance strategic thinking with hands-on delivery, • A pragmatic, collaborative approach with excellent communication and stakeholder-management skills, • A platform-engineering mindset, with deep understanding of trade-offs and designing for failure, • Strong, hands-on AWS experience, including: Lambda, DynamoDB, AWS SAM, • Solid networking and security knowledge, including VPCs, security groups and VPNsTechnologies You’ll Work With, • AWS Cloud Services & AWS Developer Tools, • JavaScript / TypeScript & Node.js, • SQL, • Git, • Docker & ECS, • Serverless Framework If you’re ready to lead, influence, and build the future of DevOps, we’d love to hear from you.

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

We are pleased to invite applications for the following opportunity: Borough Service Manager - Ealing Hours: 37.5 hours per week (Saturday and Sunday mandatory) Salary: £33,845 p.a. A rare opportunity to join a unique service user charity working with individuals who have, or have had substance use issues, Build on Belief is looking for a Borough Service Manager to run the 7 days a week service in Southall and the weekend service in Acton. We are particularly interested in recruiting someone who has direct working or lived experience of substance use problems. Closing date: Wednesday, 13th May 2026 JOB DESCRIPTION: BOROUGH SERVICE MANAGER TITLE: Borough Service Manager - Ealing SALARY: £33,845 p.a. HOURS: 37.5 hours per week (Saturday and Sunday mandatory) BASED AT: Southall and Acton – Ealing Borough REPORTS TO: Operations Manager JOB PURPOSE: To manage and develop the Weekend Social Club on behalf of the organisation within the agreed business plan. KEY RESPONSIBILITIES AND ACCOUNTABILITIES: 1.Running a Service The Borough Service Manager is responsible for ensuring that the running of a service is done in line with Build on Belief mission to offer a place where clients users and volunteers can get on-going peer support from others with similar experiences through a range of activities, in line with Build on Belief Core Values and abiding by the Policies and Procedures of Build on Belief and the Build on Belief Standards of Practice and Operational Guidelines (hereafter referred to as SOPOG). 2. Staff Management The Borough Service Manager will be responsible for a small team and will be in charge of ensuring that their Service Support Workers, Team Leaders, Facilitators and Volunteers work within the Policies and Procedures applicable to them and the SOPOG. They will be responsible for the supervision of their Service Support Workers and the Team Leaders. The remaining volunteers will be supervised by Build on Belief Service Support Workers. The Borough Service Manager will be accountable for ensuring their Service Support Workers complete accurate timesheets, comply with the Annual Leave policy, report absence, and keep accurate financial records and petty cash and supervise volunteers in accordance with the SOPOG. The Borough Service Manager will support the Service Support Workers in ensuring that all required reporting and paperwork is submitted on time and to acceptable levels of competency. 3. Finance The Borough Service Manager is responsible for all financial accounting and reporting related to the day to day running of their service in accordance with the SOPOG. The Borough Service Manager will be accountable for all petty cash activities in the service centre ensuring the following: • All financial matter relating to petty cash and vouchers are undertaken in line with the guidelines set down in the SOPOG., • For the reporting of all financial matters to the Chief Operating Officer within the timelines set down in the SOPOG., • For accurate and immediate reporting of any financial irregularities to the Chief Operating Officer within 24 hours of them coming to notice. • Boundaries and Confidentiality, • Safeguarding, • Communication Skills, • Dealing with Difficult Behaviour, • Diversity & Discrimination NOTE WELL: This job specification covers the basic aspects of the post only and is subject to change upon the instruction of the Chief Executive Officer and if necessary, the Board of Trustees. This post is subject to a Disclosure & Barring Service check at an enhanced level and the right to work in the UK. PERSON SPECIFICATION CRITERIA Required Experience Experience of working with service users and/or volunteers in the substance misuse treatment and recovery field or those with complex needs. Knowledge and Skills Proven people management skills (i.e.: motivate, engage, supervise a team to improve the service delivery.) Knowledge of the range of services and activities available and necessary to improve the quality of life for people who have substance use issues, eligibility criteria and practical ways to develop recovery capital. Demonstratable skills and ability to establish and maintain effective working relationships with a range of partners within both the statutory and voluntary sectors. Excellent verbal and written communication skills, with a focus on record keeping, monitoring, case supervision, and report writing. Good computer skills in the use of Word, Excel and Power-point. Personal qualities: The ability to maintain safe professional boundaries with professionals, colleagues, and volunteers/service users at all times. Demonstrable ability to work under pressure, adapt to changing environments and to balance competing demands. Employ a flexible, empathetic, and non-judgmental attitude towards those with substance use issues. Empathy with staff and volunteers who themselves may well be in treatment/recovery (lived experience of addiction or dependency is not essential but would be valued.) Build on Belief, 2026

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

Join our growing team at Anglian Home Improvements, a leading provider of high-quality installation services for windows, doors, conservatories, and roof trims. We pride ourselves on delivering exceptional craftsmanship and excellent customer service. We are looking for skilled installers to help us continue our tradition of excellence. The Role Due to continued growth and demand, we are seeking experienced self-employed Window & Door Installers to join our hardworking team. In this role, you will be responsible for the precise installation of our fantastic products in and around the local area. You will work closely with clients to ensure that all installations meet our high standards of quality and safety. Key Responsibilities • Install and fit windows & doors with precision and care., • Install and secure products using the appropriate tools and techniques., • Accurately measure and cut materials for optimal fitting., • Complete interior and exterior finishing work, including trim and moulding., • Always providing excellent customer service and professionalism., • Proven experience as a Window & DoorInstaller or similar role., • Strong knowledge of carpentry and joinery techniques., • Familiarity with building codes and safety regulations., • Proficiency in using hand and power tools., • Excellent attention to detail and problem-solving skills., • Ability to work independently and as part of a team., • Uncapped earning potential, weekly payments, • Immediate start, • Monthly incentives & prizes, • Continuous volumes of work, • Opportunity to develop in the industry Kick start your career in the industry with the best and join our Anglian family! Our Company is committed to monitoring & aligning its Policies with up-to-date Government guidance on reducing the spread of respiratory infections in the workplace. Through the Company’s value of “Succeed Together” we are committed to Equality, Diversity and Inclusion. We recruit the ‘best person for the job’ regardless of any protected characteristics as defined by the Equality Act 2010 creating an inclusive working environment and culture for our employees.

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

IT Field Engineer Addlestone/ Epsom £30,647 + 34 Days Holiday + Local Government Pension + Excellent Benefits + Long-Term Progression + Car Millage Are you an IT Support Engineer with experience in first or second line support?Do you want a varied, field-based role where you'll work across multiple sites, develop your technical skills, and play a key role in keeping critical systems running?This is a fantastic opportunity to join a large, forward-thinking organisation that is heavily invested in technology and continuous improvement. Supporting multiple sites across the region, they are committed to creating modern, high-performing IT environments that enable both staff and users to thrive.With a strong focus on collaboration, innovation and development, this organisation offers clear progression pathways, ongoing training, and a genuinely supportive team culture. You'll be part of a well-structured IT function where your contribution has real impact and your development is prioritised.In this role, you'll be responsible for delivering first and second line support across multiple sites, ensuring systems are running smoothly and users are fully supported. You'll work on a mix of day-to-day troubleshooting, installations, system upgrades and wider IT projects, giving you a highly varied and engaging workload.You'll also play a key role in maintaining hardware, supporting network infrastructure, monitoring system performance and ensuring security and compliance standards are met. This is a hands-on role where no two days are the same, ideal for someone who enjoys problem solving and working in different environments.The ideal candidate will have experience in a 1st and 2nd line role, have a full driving licence and live in a commutable distance to Addlestone or Epsom The organisation is known for investing in its people, offering structured development, defined career pathways and a strong benefits package. This includes a generous holiday allowance of 34 days, access to a local government pension scheme, wellbeing support including 24/7 GP access, and additional perks such as retail discounts and cycle to work schemes. The Role *Provide first and second line IT support across multiple sites *Monitor and respond to service desk tickets within agreed timeframes *Install, configure and maintain hardware, software and network systems *Support system upgrades, deployments and IT projects *Maintain equipment and carry out basic repairs when required *Monitor backups, system performance and security processes Support users and troubleshoot technical issues in a professional manner The Person *Experience in first or second line IT support *Strong knowledge of end-user devices, networks and IT systems *Excellent problem-solving skills and attention to detail *Ability to communicate effectively with non-technical users *Understanding of data protection and IT compliance *Full UK driving licence and willingness to travel between sites *Candidates must live in a commutable distance to the Addlestone or Epsom area. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

At Hestia, we are guided by our core values and are dedicated to fostering an equitable, diverse, and inclusive organisation. Our mission is to empower individuals to rebuild their lives and achieve independence. Right now, we are looking for a Recovery Worker to play a pivotal role in our Complex Needs Service in Ealing. Sounds great, what will I be doing? The role empowers service users to manage their wellbeing, build independence, and achieve personal goals through tailored support and co-produced plans. It involves liaising with external agencies, facilitating group and community-based activities, and promoting social inclusion. The position ensures users understand and engage with the service, while actively monitoring safety and wellbeing. Team collaboration and flexibility are essential to meeting service goals and maintaining high standards of care. What do I need to bring with me? You'll need to be able to demonstrate the core skills this role requires as well as match our values and mission. You don't have to tick all the boxes right away; the important thing is that you're willing to learn. We also value lived experience of the areas we support, so if you feel comfortable, please do mention this on your application. You will be passionate and dedicated to helping others with good empathy and a willingness to learn this role involves sleeping on site overnight between shifts and has some longer shift schedules with an element of cooking for a group you must capable and open to doing this as well Interview Steps We keep our interview process simple, so you know exactly what to expect. • Shortlisting call: We have a team of dedicated recruitment specialists who will speak to you about your experience, motivations and values. They will also tell you about all the great work we do! Our commitment to Equality, Diversity, and Inclusion Our services users come from all walks of life and so do we. We hire great people from a wide variety of backgrounds because it makes us stronger. We are committed to creating and maintaining a diverse and inclusive workforce and value the skills, abilities, talent and experiences, different people and communities bring to our organisation. We are a disability confident employer Hestia is proud to be a disability confident employer, dedicated to the employment and career development of individuals with disabilities. We offer a guaranteed interview scheme for all applicants with disabilities who meet the minimum criteria for the role they have applied for. We also provide reasonable adjustments during the selection and interview process, and throughout your employment with us. Safeguarding Statement Hestia is committed to safeguarding and promoting the welfare of adults, children and young people who are potentially at risk, and we therefore expect all staff and volunteers to do the same. We require all staff to undertake internal and external safeguarding training throughout their employment with Hestia. Important Information for Candidates If your application is successful, please be aware that you will be required to undergo pre-employment checks before a formal offer of employment can be confirmed. We reserve the right to close this job advert early should we receive a high volume of applications or if the position is filled before the closing date. We encourage interested candidates to apply as soon as possible to ensure their application is considered.

Global Head of Food Safety & Defence Location: Hybrid, West London – 2 days a week in office Salary: Up to £150,000 + benefits An ambitious, fast-growing food manufacturing business is seeking a Global Head of Food Safety & Defence. This organisation is a custodian of well-known international brands and is committed to maintaining the highest standards in product quality, ingredients, and talent. The successful candidate will thrive in a purpose-driven, fast-paced environment that values agility, collaboration, accountability, and continuous improvement. This is a senior leadership role offering global scope, strategic influence, and the opportunity to make a significant impact. The Global Head of Food Safety & Defence is accountable for protecting consumers and global brands by leading the design, governance, and execution of food safety and food defence programmes worldwide. This role ensures that products are developed, manufactured, and distributed safely, consistently, and in full compliance with regulatory and customer expectations. It also provides strategic leadership in preventing, detecting, and responding to intentional threats such as adulteration, tampering, and extortion. The position serves as the organisation’s leading subject matter expert in food safety science, including microbiology, toxicology, contaminants, allergens, hygiene, and food defence. Key Responsibilities Global Strategy & Governance • Define and lead the global food safety and defence strategy aligned with business objectives and regulatory requirements, • Establish policies, standards, and performance metrics across food safety, hygiene, allergen control, traceability, and defence, • Lead governance forums and represent food safety at executive level, • Embed food safety and defence considerations into innovation, supply chain, procurement, and operations Food Safety Systems & Compliance • Oversee implementation of global food safety systems (HACCP, environmental monitoring, sanitation, GMP, allergen management), • Ensure compliance with global standards (e.g., BRCGS, FSSC 22000, ISO 22000) and customer requirements, • Lead global audit programmes and oversee regional quality teams, • Develop risk frameworks for high-risk ingredients (e.g., cocoa, dairy, nuts, flavourings), • Food Defence & Product Security, • Lead vulnerability assessments (TACCP/VACCP) and mitigation strategies, • Collaborate with Security, Procurement, and Supply Chain to protect assets and processes, • Ensure product integrity across all logistics and third-party partners Incident Management & Crisis Response • Act as global technical lead for food safety and defence incidents, including contamination, allergen breaches, microbiological events, and malicious threats, • Lead root cause analysis and corrective/preventive actions, • Partner with Legal, Communications, Security, and Regulatory teams during crises Scientific Leadership & Innovation • Provide expertise in microbiology, toxicology, allergens, and emerging food safety risks, • Advise R&D and Operations on hygienic design, processing, and new technologies, • Lead horizon scanning for emerging risks (e.g., fraud, climate impacts, cyber-physical threats), • Collaborate with Regulatory Affairs on assessing and mitigating regulatory changes Talent, Training & Culture • Build and lead a high-performing global food safety and defence function, • Develop training frameworks and certification programmes (including TACCP/VACCP), • Foster a strong, proactive food safety culture across all levels of the organisation External Engagement • Represent the organisation at global forums, regulatory bodies, and industry groups, • Build partnerships with academic institutions and external experts, • Benchmark and implement industry best practices Candidate Profile Education • Degree in Food Science, Microbiology, Chemistry, Public Health, or related field, • Advanced qualifications (e.g., PhD or MBA) desirable, • Formal training in HACCP, TACCP/VACCP, and relevant regulatory frameworks Experience • Extensive experience in food safety, quality, and risk management within FMCG or large-scale food manufacturing, • Proven leadership of global or multi-regional teams, • Strong experience managing complex supply chains and high-risk ingredients, • Demonstrated success handling major food safety or product security incidents, • Experience in confectionery, chocolate, or bakery sectors advantageous Technical Expertise • Deep knowledge of HACCP/HARPC, GMP, GFSI standards, and global regulations, • Strong grounding in microbiology, toxicology, allergens, and hygienic design, • Expertise in food defence methodologies and risk assessment tools, • Familiarity with digital food safety systems, traceability, and data analytics Key Competencies • Strategic leadership and global influence, • Strong risk assessment and decision-making capability, • Effective crisis management under pressure, • Cross-functional collaboration across technical and non-technical teams, • High level of scientific credibility and innovation mindset, • Cultural agility in global environments, • Clear and impactful communication of complex topics Rewards & Benefits • Competitive benefits package including pension, life assurance, and health plans, • Generous annual leave and flexible benefits, • Wellbeing and employee assistance programmes, • Access to training and development opportunities, • Additional perks such as volunteering days and lifestyle schemes

Ruby Fullstack Engineer, Mid-Level Hayes, London Hybrid We are looking for someone with 2+ years of experience in web application development to join our growing tech team. We value autonomy and initiative, and are passionate about building scalable, high-quality web applications. This role is focused on writing reliable code, testing, and ensuring minimal downtime. Bonus points if you’ve worked on improving code quality and productivity through applied technical patterns! As a UK B Corp Certified salary sacrifice specialist, The Electric Car Scheme is on a mission to make net zero the obvious choice by making electric cars and other Net Zero Benefits easy, affordable and simple for employers to offer their people. Built on best in market pricing, complete employer protection and trusted 5 star service, we are accelerating the UK towards a net zero future while creating win win win outcomes for our customers, our team and the planet. Rated 4.9 on Glassdoor and certified by Welcome to the Jungle, there has never been a more exciting time to join a fast growing, purpose driven business transforming sustainable employee benefits. Key Responsibilities: • Develop, evolve, and maintain our core web application using Ruby, Rails, React, and TypeScript., • Collaborate closely with product managers and other stakeholders to deeply understand business needs and translate them into technical solutions., • Contribute actively to our technology roadmap and priorities, working alongside your team members, key stakeholders, and leadership., • Build a highly automated and reliable platform that serves both our external customers and internal teams., • Take on ambiguous or loosely defined problems, analysing them, and proposing effective technical approaches and solutions. About you: • 2+ years of professional experience building web applications using Ruby, Rails, React, and TypeScript., • Strong backend development skills with a willingness to contribute across the full stack (frontend, infrastructure, etc.)., • Proactive and self-driven, able to take ownership of tasks from conception to deployment., • Excellent communication skills, capable of translating complex technical concepts into clear, understandable language for non-technical colleagues., • Experience with various testing methodologies (e.g., unit, integration, end-to-end) and a commitment to writing well-tested code., • A commitment to robust and reliable software delivery, including familiarity with practices like no-downtime deployments, proactive monitoring, and identifying potential risks. Benefits: • Hybrid working with 2 days in the office (Hayes, London), • 25 days holiday plus bank holidays, • Add 1 day holiday per year service + buy / sell up to 5 days each year, • Flexible work policy with options to take into account family care, • Best in class Family Friendly Leave and Pay, • Use our own scheme to lease a vehicle through salary sacrifice and save 40-70% to drive a brand new electric car, • £500 pa. personal development budget, • £100 home office budget, • Bupa healthcare, • Equity options - own a part of the business

Crunch is a leading motorsport consultancy, working with some of the biggest brands in the sport and the world. We are different and we’re proud of it. People who know us all comment on how we’re... well, different. There’s being different for the sake of it. There’s being different to stand out from the crowd and there’s being different because you’re brave enough to trust yourself and be who you want to be. We believe that deep within the heart of sponsorship activation lies one key ingredient: brave, confident people. People are the lifeblood of sponsorship. The fans, the readers, the viewers, the players, the drivers, the mums and dads, the media, the clients and the customers. It was a conversation in London in 2008 from which the company was founded and since that fateful evening we have been on a mission to deliver braver sponsorship activation that gets the blood pumping and delivers tangible results. Crunch: Be Brave. Overall job description: The ideal candidate will have a proven track record in managing and delivering communications and PR programmes for high-profile brands or organisations ideally within the motorsport or automotive sectors. They will thrive as the central member in the comms team, adeptly multitasking across several projects in a fast-paced environment, while demonstrating exceptional written and verbal communication skills. This role will initially focus on working on one of the agency’s largest motorsport accounts, which demands world-class execution. It requires a high volume of written content and hands-on event activation, with the candidate having full quality control over output. Therefore, attention to detail and precision are paramount. The applicant should be confident in writing press releases, developing press packs and content and overseeing all aspects of media relations including direct media liaison. Established global media contacts within motorsport would be a significant advantage. A deep interest in the sports news agenda, media trends, including social media platforms, is crucial and experience in media analysis and measurement - both traditional and digital - would be beneficial. As part of a small team delivering globally, a willingness to be involved in every element of the programme both on and off-site, is essential. An energetic, enthusiastic and ‘can do’ team attitude is critical, as well as the ability to work under minimum supervision, leading a team in a high-pressured environment such as at an event during a race weekend while continuing to bring an energetic, enthusiastic and proactive team attitude. Reporting to the senior account team, the candidate will also be responsible for overseeing junior team members and managing their workload where needed. Key Responsibilities: • Manage the communications team to deliver high-quality, on-budget and timely projects, • Act as Account Manager on a flagship motorsport client, managing the day-to-day running of the account to ensure it delivers on time, to budget and meets measurable objectives as well as serving as the main contact to the client, • Work and manage all project documentation (logistics, plans, press releases, FAQs etc.), • Ensure all content is accurate and aligns with brand standards, • Work and build supplier relationships to maintain best-in-class delivery, • Lead project and execution from concept through reconciliation, with support from the Account Director, • Lead internal meetings and support the junior members of the team, • Share knowledge and support agency best practices, • Champion creativity within the company and develop innovative ideas aligned with client strategies Candidate Requirements: • Must have proven experience delivering high-profile global motorsport communications and press office programmes, including handling media announcements and securing coverage, • Familiar and confident using media monitoring and database tools, • Experience in delivering comms-led sponsorship activations, including (but not limited to):, • Key message development, • Content creation from concept to delivery, • Media management, • Crisis communications, • Press kit creation, press release writing, FAQ, etc., • Digital and social content and copy, • Influencer engagement, • Exceptional copywriting, proofing and PowerPoint skills, • Excellent client management skills, • Experience and understanding of working with production companies from developing briefs, filming to providing feedback on the content, • You should revel in hard work and be conscientious with a positive professional attitude and an enthusiasm to succeed, • Confident to communicate effectively with all levels throughout the company (with the ability to manage upwards and downwards), • Ability to work across multiple media formats, meet tight deadlines, manage various projects and adapt to changing circumstances, • Calm under pressure, solution-oriented and highly organised, • Prepared to travel globally to races on a regular basis, working some evenings and over multiple weekends – must have a valid and usable passport (it must be renewed if it is about to run out), • Happy to adapt to global time zones when required (e.g. meeting times), • Ability to speak another language is desirable What does it take to work at Crunch? • You will understand the pressure faced by clients and always have the correct attitude to deal with any situation your team has to handle to meet the deadline and maintain the highest standards, • Develop a strong understanding of clients’ external and internal business operations, • Crunch’s programmes work because we can walk in the clients’ shoes. Developing a good understanding of a client’s marketplace and the issues they face is essential Take the initiative, • As you grow so does Crunch in the eyes of the client; we want you to develop your skills and acquire new ones that will benefit both you and the company – we’ll help you to get there and reward you when you do, • You should revel in hard work and be conscientious with a positive attitude that will make the important client relationship all the more successful Why Should You Come to Work at Crunch…? • If you’re looking for a vibrant place to work, where you can get involved in fast-paced projects working on some of the largest and most well-known global clients in motorsport, then you’re in the right place, • We’re committed to investing in career development and look to promote internally, so will help you grow in your role, • We have a generous holiday allowance which increases by one day each year you work for us, • We recognise the importance of a welcoming and engaging working environment. While we offer the flexibility of remote working, our central Wimbledon office remains available to work in five days a week and is the heart of the company – you may be asked to come in to attend team meetings when required as well as for our monthly all agency catch up, • Plus, we have a great benefits scheme and pay an industry-competitive salary

Job Description Theatre Practitioner - Anaesthetics/Recovery Full time - 37.5 hours per week An exciting opportunity has arisen for an enthusiastic Anaesthetic & Recovery Practitioner - RN/ODP at North Downs Hospital, Caterham. We are looking for a passionate individual to join the Theatre Team . The successful candidate will have HCPC/NMC registration, good experience in a similar role, with proven ability to work well within a team. With excellent communication skills they will also be required to ensuring high standards of care for all patients What you need to know * To succeed in this role, you will need to have a strong clinical background in acute surgical care. We are looking for a dynamic and positive individual to ensure the Theatre department is Safe, Effective, Responsive, Caring, and Well Led. * The successful candidate will work in collaboration with the Theatre team, developing excellent working relationships with staff members, consultants and key stakeholders. * They will assist in driving sustainable excellence in the safety and quality of care and services. * They will support the Quality agenda by monitoring achievements against required standards, identifying risks to quality of care and services and planning, recommending /implementing changes for continuous improvement. Essential experience and qualifications for this role * HCPC/NMC * Comprehensive understanding of relevant clinical standards * Excellent organisational and communication skills * Sound computer skills and knowledge What you’ll bring with you * A strong clinical background. * A commitment to the delivery of customer focussed services. * Excellent communication and influencing skills. * A proven track record and evidence of successfully delivering a change agenda to enhance quality and efficiency. * Experience and confidence in effectively meeting compliance to the Governance Framework. * Comprehensive understanding of relevant legal and professional care/practice standards and evidence of supporting ongoing professional development. Why join us? At Ramsay Health Care UK, our people are at the heart of our success. Our benefits are designed to support your wellbeing, work-life balance and career development, because we’re people caring for people: Health, Wellbeing & Financial Security * Private Medical Cover, with the option to add your partner and dependants * Discounted Bupa Dental Insurance * Life Assurance (Death in Service) x3 your base salary * Private Pension, with Ramsay matching up to 5% after a qualifying period * Employee Assistance Programme Work–Life Balance * 25 days annual leave + bank holidays, with the option to buy or sell additional days * Flexible shift patterns, where possible * Family friendly policies including enhanced parental leave * Volunteer leave to support causes that matter to you Career Development & Recognition * Training and Development via the Ramsay Academy to support your career development * Colleague recognition programme to celebrate our people Lifestyle & Everyday Perks * Access to our benefits platform, offering a wide range of discounts * Cycle2Work scheme * Subsidised staff restaurant, where possible * Free parking on site, where possible About Us Ramsay Health Care UK is a well-established global hospital group with over 60 years’ experience. It is well respected within the healthcare industry and is one of the leading providers of independent hospital services in England. We love people with a positive, “can do” attitude who want to make a difference in their work. "Our employees are Ramsay." The skills and commitment of our employees forms the basis for our success. “The Ramsay Way” culture recognises that people – staff and doctors – are Ramsay Health Care’s most important asset and this has been key to our ongoing success. We care. It’s more than what we do, it’s who we are. Everything we do is about striving to deliver the best care. And it's a belief that's as true today as it was when we welcomed our first patients in 1964. “The Ramsay Way” culture recognises that our people are our most important asset and this has been key to our ongoing success. We are proud to support the UK’s Armed Forces and Reservists and have already achieved the Silver Award as part of the MOD’s Armed Forces Covenant Employer Recognition Scheme. The scheme recognises employers who actively support Defence while encouraging other organisations to adopt the same behaviours in their workplace. As a company we are committed to supporting the wider Armed Forces community and this includes our staff as well as our patients. We are committed to equality of opportunity for all. This position is subject to background and DBS checks.

Entity: Production & Operations Job Family Group: Wells Group Job Description: About the Role The Remote Operations Centre (ROC) Well Engineering Specialist is responsible for monitoring well operations and providing drilling engineering support during execution. The role focuses on delivering step‑change improvements in safety and performance by sharing best practices and lessons learned across rigs and regions, while proactively identifying and escalating risks to prevent continuation bias. Using a data‑driven approach and digital and automation tools, the ROC Well Engineering Specialist identifies and removes drilling inefficiencies and performance barriers. The role also builds strong, collaborative working relationships across the Remote Operations Centre, regional engineering teams, and Wells technical specialists. This is an excellent opportunity for engineers looking to accelerate their operational experience while gaining exposure across multiple basins and projects. The ROC development model is designed to support fast‑track career progression alongside meaningful operational impact. Key Accountabilities Non‑productive time avoidance • Analyse and monitor real‑time operational data to prevent or minimise non‑productive time events, • Intervene when risks or improvement opportunities are identified and escalate appropriately to prevent continuation bias, • Identify recurring issues, determine root causes, and implement mitigation strategies Invisible lost time reduction • Analyse rig performance to identify inefficiencies using benchmarks and lessons learned, • Review and improve engineering procedures to enhance operational efficiency, • Support the transfer of lessons learned across assets to reduce flat time Assurance and oversight • Provide oversight and support to engineering deliverables, including those from remote support teams, • Verify engineering outputs for quality and compliance during critical operations, • Conduct pre‑execution checks for high‑risk activities, • Verify safety barriers through structured self‑verification processes and oversight systems Digital enablement and innovation • Support the development and deployment of digital and automation tools, • Improve operational decision making through enhanced data visualisation, • Contribute to continuous improvement initiatives focused on performance optimisation Standardisation and knowledge sharing • Share insights and lessons learned across teams and during operational reviews, • Promote consistent drilling practices by sharing procedures across rigs, • Contribute to central knowledge platforms with case studies and operational learnings Emergency response support • Provide engineering support during emergent well operations issues, • Prepare initial well control response materials, • Perform key engineering calculations such as kill sheets, kick tolerance, formation integrity tests, pressure tests, cementing calculations and hydraulics, • Review and develop operational work instructions Essential Education and Experience Requirements • Bachelor’s degree in engineering or a related discipline, • Experience in well engineering or drilling operations, • Strong problem solving, analytical, teamwork, and communication skills, • Demonstrated commitment to safety leadership and risk management, • Solid operational experience in drilling or well activities, • Experience with engineering software such as torque and drag modelling, stuck pipe analysis, hydraulics modelling, and directional drilling tools Work Pattern Rotation: • This is a rotational role: 3 weeks on / 3 weeks off, working 12-hour day shifts. Why Join Our Team? At bp, we support our people to grow within a diverse, collaborative, and forward‑thinking environment. We believe our success is driven by the strength of our people and the value of different perspectives. We offer a flexible and supportive benefits package designed to fit your life, including flexible working options, generous parental leave, and competitive retirement benefits. We are committed to creating an inclusive workplace and ensuring equal access for all. Reasonable adjustments are available to support candidates throughout the application and interview process. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is not available for remote working Skills: Casing and wellhead recovery, Casing and wellhead recovery, Casing Design, Cementing, Common process for wells activities, Completions and Interventions Fluids, Control of Work, Cost Management, Directional Drilling, Drilling, Drilling data acquisition and well monitoring, Drilling Operations, Drillstring component selection, Electric-line, Equipment integrity assurance, Managed Pressure Drilling, Management of change, monitoring and maintenance, OMS and bp requirements, PPFG and geohazard principles for wells, Process Safety Management, Rig and vessel intake and start-up, Rig and vessel operations, Rig workovers, Risk Management {+ 14 more} Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Entity: Technology Job Family Group: IT&S Group Job Description: Job Description Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need new talent to pursue commercial opportunities, fuelled by world-class insight and expertise. We’re always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too. About the Role: We are seeking a Staff Technical Program Manager (TPM) with exceptional technical depth to drive the delivery of complex software and AI-powered solutions. This role goes beyond traditional program management. You will operate as a technical leader, partnering closely with software engineers, architects, and data/AI teams to deliver scalable, high-impact systems. You will play a critical role in orchestrating large, multi-functional engineering initiatives, influencing system design decisions, and ensuring technical execution aligns with strategic outcomes. This is an ideal role for experienced TPMs with strong software engineering backgrounds or senior engineers who have transitioned into technical program leadership. Key Accountabilities: Technical Program Leadership * Lead end-to-end delivery of complex, multi-team engineering programs, including distributed systems, platforms, and AI/ML solutions. * Own program execution across architecture, design, development, testing, and deployment phases. * Drive alignment on technical strategy, trade-offs, and delivery turning points. * Manage dependencies across engineering teams, platforms, and external integrations. Deep Technical Engagement * Act as a technical leader, not just a coordinator and engage directly in: System design discussions Architecture reviews and design critiques API contracts and service boundaries * Understand and challenge technical decisions with engineers and architects. * Translate complex technical concepts into program-level strategies and execution plans. * Identify and mitigate risks related to scalability, performance, reliability, and security. AI & Software Delivery Excellence * Drive programs involving AI/ML systems, including model integration, data pipelines, and inference services. * Ensure alignment between software engineering practices and AI lifecycle needs (data, experimentation, deployment, monitoring) * Coordinate delivery of end-to-end solutions combining traditional software and AI components. Multi-functional Leadership * Collaborate closely with: Software engineers and engineering managers Architects and principal engineers Product managers and technical product owners Data scientists and ML engineers DevOps, SRE, and platform teams * Act as the central point of coordination for large technical initiatives across multiple domains. Execution & Operational Excellence * Define and track program goals, targets, and success metrics. * Drive planning cycles (roadmaps, quarterly planning, sprint execution alignment) * Establish scalable delivery frameworks, processes, and procedures. * Ensure visibility through clear reporting, dashboards, and partner communication. * Remove bottlenecks and proactively resolve program risks. Technical Governance & Quality * Establish standards for system quality, observability, and reliability. * Ensure strong engineering practices including testing strategies, CI/CD, and release management. * Promote technical excellence and continuous improvement across teams. Partner Influence & Communication * Communicate complex technical programs clearly to both technical and non-technical partners. * Influence senior leadership decisions through data-driven insights and technical reasoning. * Provide structured updates on progress, risks, and outcomes. Required Qualifications * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience) * Proven experience in software engineering, technical program management, or related roles * Strong software engineering background with hands-on experience in building complex systems * Deep understanding of: Distributed systems and microservices architectures APIs and platform design Cloud infrastructure (AWS, Azure, GCP) DevOps, CI/CD pipelines, and system reliability * Proven experience leading large-scale, cross-team technical programs Preferred Qualifications * Experience delivering AI/ML-based products or platforms. * Familiarity with the AI/ML lifecycle (model training, deployment, monitoring, MLOps). * Experience working in platform engineering, developer tooling, or internal infrastructure teams. * Prior experience as a senior software engineer, architect, or engineering lead * Experience in highly regulated or complex domains (e.g., FinTech, healthcare, insurance) Key Skills * Strong technical depth and architectural understanding. * System-level thinking and problem-solving. * Program and delivery management at scale. * Risk management and dependency resolution. * Exceptional partner management and communication. * Ability to influence without direct authority. * High ownership and execution attitude. What Sets This Role Apart (vs. a Typical TPM) * Deep Engineering Fluency: Ability to actively participate in design and architecture discussions * Technical Judgment: Capability to evaluate trade-offs and guide engineering decisions * AI & Advanced Systems Exposure: Involvement in modern AI-driven and distributed systems * Strategic Technical Leadership: Acts as a force multiplier for engineering teams, not just a coordinator Work You’ll Own * End-to-end program plans and execution strategies * Cross-team engineering roadmaps * Architecture alignment and dependency management * Program risk assessments and mitigation plans * Delivery dashboards and executive-level reporting Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Agility core practices, Agility core practices, API and platform design, Benefits Management, Business Analysis, Business modelling, Client Counseling, Cloud Platforms, Configuration management and release, Data Analysis, Data design, Data Management, Demand Management, Design Thinking, Dialogue enablement, Digital Innovation, Digital Product Management, Employee Experience, Empowering Others, Facilitation, Influencing, Long Term Planning, Managing change, Marketing strategy, Measurement and metrics {+ 5 more} Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Allegis Global Solutions is recruiting for a contract position, and the assignment will be at Warner Bros. Discovery Role: Application Owner Contract: 6 months Payrate: £ 400 per day via PAYE Location: Chiswick, London Mode: Hybrid Key Responsibilities: -Ownership of the Provys system includes: • Ensure the production platform is working efficiently, • Manage operational security e.g. renewing application web certificates, • Manage requests for new workflows or change on existing ones, logged and tracked in our Jira workspace/ Service Now, • Manage problems from an ITIL perspective, • Oversee production incidents, • Be the main point of contact with the vendor: Provys Technologies, • Follow-up the budget related to the Provys platform for both “Business as Usual” run costs, or evolution costs, • Maintains the Provys documentation patrimony up to date, and especially documents required by the support team or training materials., • Working closely with QA Team creation of repository for testing scenarios in place for further QA Testing campaigns, as well as drive QA Testing campaigns in close collaboration with our QA Team, • Assist with complex incident / issues troubleshooting, • Be part of the global Application platform evolution, • Identify and work on any valuable changes that imply the Provys platform, • Manage lifecycle of Provys platform., • Ensure efficient and robust monitoring tooling, coherent with what we have on the other application platforms (ELK), • Engaging with business users and stakeholders across the TNT Sports UK business to understand business processes, • Gathering requirements, assessing customizations, assist with co-ordination and perform IT testing, • Analyzing configuration requests and coordinating User Acceptance Testing for projects, • Collaborate with Production Run Ops, Architecture, Developers and engineering teams for migrations, customizations and upgrade projects, • Be part of the Global support team as Subject Matter Expert and point of contact for any major issue raised by the support team., • During Major events, you may be involved in on call duty organization (7 days a week), as Level 3 support line (Subject matter expert level) Requirements: • Clear communication and palatability to write clear documentation when required, • Good organizational skills, • Independent self-starter who can work unsupervised, proactive, and problem-solving aptitude, • Remains calm under pressure, • Flexibility in accepting new and changing responsibilities, as well as strong personal initiative and resourcefulness, • Take ownership of, and accountability for responsibilities., • Excellent people and interpersonal skills, good team player, • Flexibility and ability to adapt to different demands on short notice, • High levels of initiative, motivation and time management, • Keen to learn new systems and applications, • Experience and enthusiasm for Live Sports, TV Industry or a related industry an advantage, • Good experience with Provys would be an advantage

The Role Offgrid Energy Labs has developed ZincGel®, a proprietary sealed zinc-bromide battery designed for 6-16 hour storage with no thermal runaway, no critical minerals, and manufactured in the UK. We are at the point where technology leaves the factory and enters the real world. You spearhead it. You own the full customer journey, from first-site survey to live operation, performance reporting, and repeat deployments. You commission our first pilots in the UK and build the deployment playbook that scales commercially. This is a leadership role with direct access to co-founders. What You Own Six clear ownership domains. No ambiguity about accountability. 1. End-to-End Deployment Delivery: You are accountable for every deployment from site survey to live handover. Not a contributor to someone else’s project, you are the owner. • Define system architecture per site: battery, BMS, EMS, inverter, solar, monitoring stack, • Manage procurement, logistics, delivery scheduling including battery transport, • Lead Factory Acceptance Test (FAT) at Hook and Site Acceptance Test (SAT) at each customer site, • Supervise first energization and initial cycling under controlled, safe conditions 2. Compliance & Site Safety: You own the compliance process for every deployment. Nothing is energised until you have signed off. • Commission and manage COSHH and DSEAR assessments; brief specialist consultants, review outputs, implement controls, • Produce site-specific RAMS; submit to site host H&S and manage approval, • Ensure gas detection, ATEX-rated ventilation, secondary containment installed and verified before first charge, • Obtain BS 7671 Electrical Installation Certificate from independent inspector, • Maintain live compliance documentation register across all active sites 3. Customer & Partner Management: You are Offgrid’s face to every site host and external partner. Pilots become long-term customers because of the relationship that we build. • Own site host relationship end-to-end; manage expectations, resolve issues, • Manage all site contractors (electrical, civil, solar): appoint, brief, supervise, hold to program and quality, • Manage technology vendors and R&D (BMS, EMS, inverter suppliers) against support obligations, • Coordinate with H&S consultants, insurers, certification labs, ADR carriers 4. Monitoring, Data & Reporting: You define and operate the data program that proves ZincGel® operations at customer sites. • Define monitoring architecture per site: channels, resolution, remote access, alerting, • Collect and track cycle data, round-trip efficiency, capacity fade, temperature profiles, • Produce monthly customer performance summaries and quarterly technical reports for regulatory/investor evidence base, • Maintain remote visibility of all live systems; first-line response to alarms and performance anomalies 5. O&M & Field Service • Schedule and execute monthly preventive maintenance across all live sites, • Diagnose and resolve field issues remotely where possible, on-site where required, • Maintain all safety systems (gas detection, ventilation, alarms) always verified operational 6. Product Feedback & Playbook • Translate field observations into structured product insight for R&D team, minimum monthly field report to CTO, • Document deployment process into repeatable playbook: site survey, architecture, compliance, procurement., FAT/SAT, commissioning, handover, O&M, • Iterate/review playbook after each deployment Who You Are Defined by what you have done, not where you have done it. Non-Negotiable • You have deployed at least one BESS at a real site. Not designed. Not modelled. Installed, commissioned, and handed over., • You are hands-on. You pick up a multimeter. You stay on site until the problem is solved. You do not delegate the hard parts., • You have managed contractors and site stakeholders simultaneously and held them to standard without a senior manager doing it for you., • You understand deploying a system that is not yet fully certified. You know the difference between what the law requires and what the standard requires, and you have navigated that gap in practice. Strongly Preferred • Experience with non-standard battery chemistries (flow, zinc-bromine, sodium-ion, iron-air), this is a strong differentiator, • Background in data center or critical infrastructure energy systems, • Product mindset: field observations change how you think the system should work; you feed insight upstream, not just into reports, • Startup or early-stage experience: no playbook, few resources, high ambiguity; you create processes as needed. Technical Baseline • Electrical competence to BS 7671 18th Edition or equivalent (qualified or strong field-gained working knowledge), • Hands-on experience with DC/AC power systems, hybrid inverters, BMS/EMS integration, • Degree, HND, or apprenticeship in electrical engineering, energy systems, mechatronics or equivalent demonstrated experience, • Working familiarity with UK battery safety frameworks: RAMS, COSHH, DSEAR, IEC, UL (not specialist-level, but not starting from zero), • Track record managing technical projects end-to-end: scope, procurement, program, handover in field/industrial environment Why Join • Real technology, real stakes. ZincGel® is being deployed for the first time. Your deployments generate critical data on how this technology reaches commercial scale., • Founding-team ownership. You work directly with the founders. Your decisions shape the company., • The right moment. First cells manufactured Summer 2026. Followed by first deployments. You are here before the playbook exists, and you write it., • A problem worth solving. Long-duration storage is one of the hardest unsolved problems in the energy transition and a massive commercial opportunity. This role puts you at the center of it.

Chinese Speaking Data Analyst Responsibilities The job holder is responsible for collecting and analysing relevant operational data on various business and requirements; monitoring business performance through analysing and providing support for business growth needs. • Gather the open order, stock data and sale data on a monthly basis and combine them together, • Responsible for monthly analysis of open order, inventory data and sales data on: 1. Hikvision Baseline Products, 2. Marketing Promotion Materials • Create various sales reports in Qlik and maintain the database, • Analyse the answering rate, the number of answers, and the opening and closing status of the case for call centre for understanding the service efficiency of the corresponding department., • Collect customer data of exhibitions, road shows, trainings, etc., summarize and refine valuable data to the CRM system and divert it to the business department, • Combine and promote HQ product promotion strategies to analyze and manage distributors' purchasing data and inventory data., • Manage customers by different levels in POS data (VASP/Sub distributor /unauthorized accounts) and output analysis reports on a monthly basis;, • Carry out other duties assigned by the line manager Ideal Candidate • Have relevant work experience., • Advanced Excel skills, • VBA and Python Programming ability Benefits • Regular Company Events, • Company pension, • Life Insurance, • Sick pay, • On-site parking, • 25 days of annual leave plus bank holidays

Manpower are currently seeking an interim Media Procurement Transformation Lead, to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, to become an integral part of their fast-paced FMCG environment. The position is based at Kingston Upon Thames. This is a full-time temporary role till end of Oct 2027, requiring 36.25 hours per week, Monday to Friday. Compensation for this role is competitive, paying up to £215,000 per annum, pro rata, depending upon experience. The role currently offers a mix of remote and onsite working, subject to adjustment based on business requirements. Background & Purpose of the Job This is an exciting opportunity as part of Unilever media journey. We operate at the forefront of competitive buying, sustainable sourcing and purpose-led partnerships. We seek to combine our own technology expertise and insights with our partners, to support the creation of disruptive sourcing strategies and supplier-led innovation that respond to ever-changing consumer needs quickly, flexibly and effectively. ABOUT UNILEVER PROCUREMENT Part of the Supply Chain family, Unilever Procurement is responsible for the spend of material and services spend globally with more than 50,000 suppliers, over half of them in MBS – Marketing and Business Services. Getting the right services and materials, ensuring responsible procurement is critical to ensuring desire at scale. Our teams work closely with the business to understand stakeholders needs, bring innovation to meet changing consumer, employees and customers needs, and drive financial value for Unilever through competitive buying. We are at the forefront of digital procurement, bringing new tools and analytics to drive data-based decisions. ABOUT MBS MBS, Unilever’s Marketing and Business Services Procurement team, is responsible for Unilever’s sourcing and supplier strategy and execution for all third party spend across Marketing, Business Services, and IT, supporting the business requirements of Brands, Business Units, Business Groups, and functions to drive growth through strategic supplier management, cost and value management, and innovation. The team manages an annual spend with a supplier base of about 40,000. Within MBS, The Media Procurement Transformation Lead role is responsible for driving a major organisational change initiative within media procurement, introducing roll-out of new technology and contemporary digital tools for the first time. The position will oversee efficiency delivery, adoption planning, and execution, while managing cross-functional teams and stakeholders to ensure successful implementation and value creation. Key Accountabilities: • Lead Organisational Change: Drive the transformation agenda, ensuring smooth adoption of new processes, tools, and ways of working across the organisation., • Roll-out new Technology and contemporary digital tools: Oversee planning, deployment, and integration of new tech and contemporary digital tools and associated routes, ensuring alignment with strategic objectives., • Efficiency Delivery: Accountable for delivering measurable efficiency improvements through process optimisation and technology adoption., • Digital Enablement: Establish and embed contemporary digital tools to enhance transparency, automation, and performance tracking in media buying., • Project & Stakeholder Management: Manage complex, cross-functional projects involving multiple teams, ensuring timely delivery and effective communication with senior stakeholders., • Capability Building: Develop and implement training and change management programmes to enable successful adoption of new tools and processes. Qualification/experience • Proven experience in procurement transformation, digital tools implementation, or media buying technology., • Strong project management and stakeholder engagement skills, with the ability to lead cross-functional teams., • Expertise in change management and driving organisational adoption of new processes and technologies., • Unsettled with status quo and not afraid to be provocative, • Analytical mindset with ability to quantify efficiency gains and value delivery., • Excellent communication and influencing skills at senior levels., • Experience on large-scale project management, • Experience in shaping and leading transformational business process reengineering, with experience driving Change Management initiatives. General Skills & Competencies • Passion for new technology and disruptive ideas, • Ability to work under pressure and in a complex global environment balancing a broad spectrum of stakeholder requirements, • Able to create and drive adoption and execution of a shared vision and strategy for change., • Ability to interact with senior stakeholders cross effectively and efficiently functionally to understand their needs and deliver effective balanced solutions, • Strong verbal and written communication skills, including creation and delivery of effective presentations, • High financial and business acumen, • Strong in selling ideas and concepts, • Strong in project and time management for complex global projects, • Stakeholder management and people skills, • Tenacious and resilient in the pursuit of challenging goals, • Travel:, • International travel required. Not projected to require more than 20% on average Kingston working environment: • Contractors who are based at Kingston will be eligible to get free parking at a local carpark, • There is a Unilever Staff Shop located on the Ground Floor next to the main entrance, where Contingent Workers can buy discounted Unilever products., • A canteen, • A Gym is available for use on the Ground Floor (with subscription)., • Facilities in the gym include cardiovascular equipment, resistance machines, spin bikes, free weights area, boxing equipment and a stretch/matted area. Classes are also available and can be booked directly with the Gym. Shower facilities are available in the changing rooms, along with hairdryers.

⚙️ Mechanical Project Manager – Data Centres | London / M25 We are currently looking for an experienced Mechanical Project Managers to oversee mechanical/sprinkler installation works on data centre projects across London and the M25. This is an excellent opportunity to join a contractor delivering large-scale mission-critical developments within a fast-growing sector. Role Overview The successful candidate will be responsible for managing mechanical packages on data centre projects, ensuring work is delivered safely, on programme, and to the highest standard. Key Responsibilities • Managing mechanical installation works on data centre projects, • Coordinating subcontractors, engineers, and site teams, • Ensuring all works comply with health & safety regulations, • Liaising with clients, consultants, and main contractors, • Monitoring project progress and maintaining programme deadlines, • Leading site meetings and reporting project updates, • Ensuring installations meet required quality standards and specifications Requirements ✅ Proven experience as a Mechanical Project Manager ✅ Background in M&E or mechanical installations ✅ Experience working on data centres or mission-critical projects (desirable) ✅ SMSTS / CSCS preferred ✅ Strong leadership, organisation, and communication skills Package 💷 Salary up to £70,000 (depending on experience) 📍 Projects across London & the M25 📆 Permanent opportunity 🚀 Immediate starts available 📞 Interested? Call Ashleigh on 01753 687876 to find out more.

Buyer - General Merchandise I am currently recruiting for an experienced Buyer to join a well-known Lifestyle Retailer based at their South West London Head Office. This is an office based position. As a Buyer, you will be responsible for ensuring the right products are purchased at the correct prices and within the relevant time frames. Some of your duties will include. • Maximising retail sales via through exceptional market, competitor, retailer, and shopper/consumer insight & analysis, • Building & maintaining strong relationships with suppliers, • Sourcing suppliers & negotiating best cost prices to improve margins, • Responsible for buying both Own Brand and Branded ranges, • Ensuring selected product lines achieve availability timeframes, • Presenting product range & trend information to the Senior Management team, • Monitoring & reviewing competitor information to ensure your product area stays relevant in a changing market, • Working alongside other departments i.e. Marketing, eCommerce & Retail outlets to plan successful future lines, • Managing your category budget, • Analysing sales figures to plan successful future lines Key requirements for the role. • Proven previous experience as a Buyer within a retail environment is essential., • Good level of Education, • Ability to influence and negotiate effectively at all levels, • Excellent communication skills and the ability to liaise effectively at all levels, • Able to adapt swiftly in a fast paced, ever changing retail market., • Experience of using and interpreting shopper insight such as Mintel, Kantar, Nielsen to assist in the creation of range plans, • Excellent numerical ability, with an analytical mindset, • Strong IT skills including MS Office If you think you have the right experience as a Buyer and are looking for a new opportunity, then get in touch and apply today.

Senior Buyer – Home Categories South London (office based) circa £65,000 I am currently recruiting for an experienced Senior Buyer to join an established UK retailer based within their Head Office function. As the Senior Buyer, you will be responsible for developing and implementing the range strategy to maximise the budgeted financial business targets ensuring the right products are purchased at the correct prices and within the relevant time frames. Reporting into the Buying Director some of your duties will include. • Responsible for maximising the delivery of the Sales / Margin & Stock turn of your category range to deliver a market beating product and seasonal proposition., • Building & maintaining strong relationships with suppliers, • Sourcing suppliers & negotiating best cost prices to improve margins., • Responsible for buying both Own Brand and Branded ranges., • Ensuring selected product lines achieve availability timeframes., • Deliver an inviting & practical product range that is in line with current trends on design and lifestyle., • Presenting product range & trend information to the Senior Management team, • Monitoring & reviewing competitor information to ensure your product area stays relevant in a changing market., • Working alongside other departments i.e. Marketing, eCommerce & Retail outlets to plan successful future lines., • Managing your category budget, • Analysing sales figures to plan successful future lines. Key requirements for the role. • Proven previous experience as a Senior Buyer, General Merchandise is essential ideally within home, garden or DIY categories., • willingness to be office based, • Good level of education, • Ability to influence and negotiate effectively at all levels., • Excellent communication skills and the ability to lead a team., • Able to adapt swiftly in a fast paced, ever changing seasonal retail market., • Excellent numerical ability, with an analytical mindset., • Strong IT skills including MS Office. If you think you have the right experience as a Senior Buyer and are looking for a new opportunity, then get in touch and apply today.

Crunch is a leading motorsport consultancy, working with some of the biggest brands in global sport. We are different and we’re proud of it. People who know us all comment on how we’re…well, different. There’s being different for the sake of it. There’s being different to stand out from the crowd and there’s being different because you’re brave enough to trust yourself and be who you want to be. We believe that deep within the heart of sponsorship activation lies one key ingredient: brave, confident people. People are the lifeblood of sponsorship. The fans, the readers, the viewers, the players, the drivers, the mums and dads, the media, the clients and the customers. It was a conversation in London in 2008 from which the company was founded and since that fateful evening we have been on a mission to deliver braver sponsorship activation that gets the blood pumping and delivers tangible results. Crunch: Be Brave. Overall Job Description The successful candidate will have proven experience working on large-scale event and hospitality programmes for high-profile brands or organisations within F1, with four-plus years’ experience in client servicing and onsite event management. In this role you will be the central day-to-day contact for a high-profile F1 client and have responsibility of the overall events/hospitality programme delivery and management, reporting directly to a senior member of staff. You will develop and maintain strong relationships with clients and their partners to understand their needs and expectations and ensure seamless and exceptional service throughout the hospitality programme. The candidate will thrive on multi-tasking in a fast-paced environment, enjoy working in sponsorship activation, display exceptional attention to detail and excellent communication skills both spoken and written. As part of a small team delivering globally, a willingness to be involved in every element of the programme both on and offsite, is essential. An energetic, enthusiastic and ‘can do’ team attitude is critical, as well as the ability to work under minimum supervision, leading a team in a high-pressured environment such as at an event during a race weekend. Key responsibilities include: • Central management of the account and event-programme, from start to finish overseeing all deliverables, • Plan onsite activation logistics and operations including hotels, transport, venues etc. where required, • Pre-event project management including RoS, hotel and logistics’ management, guest transport matrix etc., • Onsite event lead; accountable for onsite programme deliverables at select F1 races, • Host guests onsite in the Paddock Club if required, delivering client-facing service excellence. Keeping guests well informed throughout the day, facilitating all scheduled guest activities and managing the itinerary, troubleshooting where required, • Management of dinner requirements (venue booking, set-up, F&B and event production) and any other related off-track activity and operations, • Full quality control over the account’s project management documentation and client-facing documents (planners, logistics, budgets etc.). Project management documentation is essential, • Monitor and manage the client’s accreditation portal and facilitate the processes where required, • Management and monitoring of guest/staff accreditation supplied for F1 races (ensure 100% accuracy), • Source, utilise and manage supplier relationships to deliver projects on brief and within budget, • Private suite management incl: guest activity management, gift distribution, staffing, catering, • Pre-event comms: guest invitation development, distribution, RSVP and tracking, • Ensuring any content is brand compliant, • Source merchandise/gifting goods, assess pricing/production times, procure and manage the inventory throughout the season including storage and onsite distribution, • Coordination of other sponsorship activation tasks within the project scope, • Act as the main day-to-day contact for clients and partners, ensuring the programme is delivered on time and within budget, • Manage and lead the weekly internal team meetings and client calls, ensuring all team members are clear on tasks and priorities are aligned with the overall plan, • Ability to plan and prioritise own workload, • Act as reliable support for senior team members as well as providing line management and direction to more junior team members, • Take ownership of and manage account budgets and expenses including creation of estimates, purchase orders and project reconciliations, • Monitor hours/time on the account for internal resource management, • Produce measurable results as per the targets set by the client, • Account reporting incl. end-of-year review, • Timely, professional responses to high amount of client email traffic and queries, • Creative thinking around event planning and VIP guest programmes, • Continuously seeking opportunities to enhance guest experience and exceed expectations, personalising the hospitality offering, • Knowledge sharing within the team and wider business at company meetings, • Championing best practice across every single aspect of the project, following Crunch’s processes, • Support with writing client responses, PPT presentations and reports for the client/Crunch Candidate Requirements: • A proven track record of planning and managing live F1 guest experiences and Paddock Club hospitality programmes and activity in the F1 Paddock is essential, • Familiar with F1 accreditation management (guests, vehicles and staff), • Happy to travel globally to races, working some evenings and over multiple weekends – must have a valid and usable passport (it must be renewed if it is about to run out), • Happy to adapt to global time zones when required (e.g. meeting times), • You should revel in hard work and be conscientious with a positive professional attitude and an enthusiasm to succeed, • Experience of event management processes and support beyond delivery of objectives alone, • Organised with good time management, both independently and when working as part of a team, • Experience of logistics and operations management including hotels, transport and venues, • Experience assessing and managing supplier contracts (e.g. hotels and venues), • Experience of working with production companies to set up venues and bespoke guest spaces, • Calm and collected under pressure and someone who thrives in a fast-paced environment, able to multi-task and prioritise to meet deadlines, • Understanding of brand compliance processes (e.g.design VI stipulations), • Excellent client servicing, management and communication skills, • Proficient with Microsoft Office to manage budgets and to prepare presentations/PPT decks, • Keen attention to detail and highly solutions-orientated, • Confident with event budgets, managing finance processes and account time management, • Champion of best practice, leading by example and making sure that project systems and procedures are set up and adhered to correctly by all team members, • Desire to constantly learn new things and improve on current methods, • Confident to communicate effectively with all levels throughout the company (with the ability to manage upwards and downwards), • An agency background preferrable, but not essential, • Ability to speak another language is desirable Why Should You Come to Work at Crunch…? • If you’re looking for a vibrant place to work, where you can get involved in fast-paced projects working on some of the largest and most well-known global clients in motorsport, then you’re in the right place, • We’re committed to investing in career development and look to promote internally and help you grow in your role, • We have a generous holiday allowance which increases by one day each year you work for us, • We recognise the importance of a welcoming and engaging working environment. While we offer the flexibility of remote working, our central Wimbledon office remains available to work in five days a week and is the heart of the company - you may be asked to come in to attend team meetings when required as well as for our monthly all-agency catch up, • Plus, we have a great benefits scheme and pay an industry-competitive salary