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

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

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

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

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

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

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

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

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

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

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

Customer Advisor - Private Medical Insurance - Starting salary between £25,400 to £28,500 (depending on hours, skills, and experience) plus additional benefits Do you love helping people and making a real difference? Are you someone who thrives in a fast-paced environment and builds great relationships with ease? If you’re passionate about delivering brilliant service and supporting people when they need it most – we’d love to hear from you. Our standard full-time contracts are for 35 hours per week (with options for part time working, after the initial 18-week full time training period). However we want you to have the flexibility to increase your working hours if it suits you, so we also offer the option for an enhanced 40 hour contract. Flexible shift pattern between 08:00 - 18:30, Monday – Friday and one Saturday shift every six weeks, 09:00 - 13:00. A bit about the job You’ll be the first point of contact for customers making a health insurance claim. Whether it’s booking an appointment, sorting out a bill, or arranging overnight care – you’ll guide them through every step. You’ll help customers access the private treatment they need, from outpatient tests to aftercare. You’ll also handle occasional complaints, with full support from your team. It’s a role that really matters – and one where you can make a big impact. Skills and experience we’re looking for * Great communication skills and experience in a customer-facing role. * Empathy and the ability to support people through difficult times. * A natural problem-solver who asks the right questions to get things done. * Detail-focused and confident making decisions based on facts. * Insurance or financial services experience is a bonus – but not essential. What you'll get for this role Our purpose - with you today, for a better tomorrow – is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague. * Starting salary between £25,400 and £28,500 (depending on location, skills, experience, and qualifications) * Bonus opportunity - 6% of annual salary Actual amount depends on your performance and Aviva’s. * Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in. * 25 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days * Aviva-funded Private Medical Benefit to help you get expert support when you need it * Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts * Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme * Brilliantly supportive policies including parental and carer’s leave * Flexible benefits to suit you, including sustainability options such as cycle to work * Make a difference, be part of our ___ and use your 3 paid volunteering days to help others * We take your wellbeing seriously with lots of support and tools ___ to learn more. Put a salary into this calculator to see what your total Aviva Reward could be. Aviva is for everyone We’re inclusive and ___ – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending at least 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues. To find out more about working at Aviva take a look ___ We'd love it if you could submit your application online. If you require an alternative method of applying, or if you have any queries in relation to the vacancy, please contact Peter Varga - .

Customer Advisor - Private Medical Insurance - Starting salary between £25,400 to £28,500 (depending on hours, skills, and experience) plus additional benefits Do you love helping people and making a real difference? Are you someone who thrives in a fast-paced environment and builds great relationships with ease? If you’re passionate about delivering brilliant service and supporting people when they need it most – we’d love to hear from you. Our standard full-time contracts are for 35 hours per week (with options for part time working, after the initial 18-week full time training period). However we want you to have the flexibility to increase your working hours if it suits you, so we also offer the option for an enhanced 40 hour contract. Flexible shift pattern between 08:00 - 18:30, Monday – Friday and one Saturday shift every six weeks, 09:00 - 13:00. A bit about the job You’ll be the first point of contact for customers making a health insurance claim. Whether it’s booking an appointment, sorting out a bill, or arranging overnight care – you’ll guide them through every step. You’ll help customers access the private treatment they need, from outpatient tests to aftercare. You’ll also handle occasional complaints, with full support from your team. It’s a role that really matters – and one where you can make a big impact. Skills and experience we’re looking for * Great communication skills and experience in a customer-facing role. * Empathy and the ability to support people through difficult times. * A natural problem-solver who asks the right questions to get things done. * Detail-focused and confident making decisions based on facts. * Insurance or financial services experience is a bonus – but not essential. What you'll get for this role Our purpose - with you today, for a better tomorrow – is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague. * Starting salary between £25,400 and £28,500 (depending on location, skills, experience, and qualifications) * Bonus opportunity - 6% of annual salary Actual amount depends on your performance and Aviva’s. * Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in. * 25 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days * Aviva-funded Private Medical Benefit to help you get expert support when you need it * Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts * Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme * Brilliantly supportive policies including parental and carer’s leave * Flexible benefits to suit you, including sustainability options such as cycle to work * Make a difference, be part of our ___ and use your 3 paid volunteering days to help others * We take your wellbeing seriously with lots of support and tools ___ to learn more. Put a salary into this calculator to see what your total Aviva Reward could be. Aviva is for everyone We’re inclusive and ___ – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending at least 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues. To find out more about working at Aviva take a look ___ We'd love it if you could submit your application online. If you require an alternative method of applying, or if you have any queries in relation to the vacancy, please contact Peter Varga - .

Customer Advisor - Private Medical Insurance - Starting salary between £25,400 to £28,500 (depending on hours, skills, and experience) plus additional benefits Do you love helping people and making a real difference? Are you someone who thrives in a fast-paced environment and builds great relationships with ease? If you’re passionate about delivering brilliant service and supporting people when they need it most – we’d love to hear from you. Our standard full-time contracts are for 35 hours per week (with options for part time working, after the initial 18-week full time training period). However we want you to have the flexibility to increase your working hours if it suits you, so we also offer the option for an enhanced 40 hour contract. Flexible shift pattern between 08:00 - 18:30, Monday – Friday and one Saturday shift every six weeks, 09:00 - 13:00. A bit about the job You’ll be the first point of contact for customers making a health insurance claim. Whether it’s booking an appointment, sorting out a bill, or arranging overnight care – you’ll guide them through every step. You’ll help customers access the private treatment they need, from outpatient tests to aftercare. You’ll also handle occasional complaints, with full support from your team. It’s a role that really matters – and one where you can make a big impact. Skills and experience we’re looking for * Great communication skills and experience in a customer-facing role. * Empathy and the ability to support people through difficult times. * A natural problem-solver who asks the right questions to get things done. * Detail-focused and confident making decisions based on facts. * Insurance or financial services experience is a bonus – but not essential. What you'll get for this role Our purpose - with you today, for a better tomorrow – is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague. * Starting salary between £25,400 and £28,500 (depending on location, skills, experience, and qualifications) * Bonus opportunity - 6% of annual salary Actual amount depends on your performance and Aviva’s. * Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in. * 25 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days * Aviva-funded Private Medical Benefit to help you get expert support when you need it * Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts * Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme * Brilliantly supportive policies including parental and carer’s leave * Flexible benefits to suit you, including sustainability options such as cycle to work * Make a difference, be part of our ___ and use your 3 paid volunteering days to help others * We take your wellbeing seriously with lots of support and tools ___ to learn more. Put a salary into this calculator to see what your total Aviva Reward could be. Aviva is for everyone We’re inclusive and ___ – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending at least 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues. To find out more about working at Aviva take a look ___ We'd love it if you could submit your application online. If you require an alternative method of applying, or if you have any queries in relation to the vacancy, please contact Peter Varga - .

Customer Advisor - Private Medical Insurance - Starting salary between £25,400 to £28,500 (depending on hours, skills, and experience) plus additional benefits Do you love helping people and making a real difference? Are you someone who thrives in a fast-paced environment and builds great relationships with ease? If you’re passionate about delivering brilliant service and supporting people when they need it most – we’d love to hear from you. Our standard full-time contracts are for 35 hours per week (with options for part time working, after the initial 18-week full time training period). However we want you to have the flexibility to increase your working hours if it suits you, so we also offer the option for an enhanced 40 hour contract. Flexible shift pattern between 08:00 - 18:30, Monday – Friday and one Saturday shift every six weeks, 09:00 - 13:00. A bit about the job You’ll be the first point of contact for customers making a health insurance claim. Whether it’s booking an appointment, sorting out a bill, or arranging overnight care – you’ll guide them through every step. You’ll help customers access the private treatment they need, from outpatient tests to aftercare. You’ll also handle occasional complaints, with full support from your team. It’s a role that really matters – and one where you can make a big impact. Skills and experience we’re looking for * Great communication skills and experience in a customer-facing role. * Empathy and the ability to support people through difficult times. * A natural problem-solver who asks the right questions to get things done. * Detail-focused and confident making decisions based on facts. * Insurance or financial services experience is a bonus – but not essential. What you'll get for this role Our purpose - with you today, for a better tomorrow – is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague. * Starting salary between £25,400 and £28,500 (depending on location, skills, experience, and qualifications) * Bonus opportunity - 6% of annual salary Actual amount depends on your performance and Aviva’s. * Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in. * 25 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days * Aviva-funded Private Medical Benefit to help you get expert support when you need it * Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts * Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme * Brilliantly supportive policies including parental and carer’s leave * Flexible benefits to suit you, including sustainability options such as cycle to work * Make a difference, be part of our ___ and use your 3 paid volunteering days to help others * We take your wellbeing seriously with lots of support and tools ___ to learn more. Put a salary into this calculator to see what your total Aviva Reward could be. Aviva is for everyone We’re inclusive and ___ – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending at least 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues. To find out more about working at Aviva take a look ___ We'd love it if you could submit your application online. If you require an alternative method of applying, or if you have any queries in relation to the vacancy, please contact Peter Varga - .

Customer Advisor - Private Medical Insurance - Starting salary between £25,400 to £28,500 (depending on hours, skills, and experience) plus additional benefits Do you love helping people and making a real difference? Are you someone who thrives in a fast-paced environment and builds great relationships with ease? If you’re passionate about delivering brilliant service and supporting people when they need it most – we’d love to hear from you. Our standard full-time contracts are for 35 hours per week (with options for part time working, after the initial 18-week full time training period). However we want you to have the flexibility to increase your working hours if it suits you, so we also offer the option for an enhanced 40 hour contract. Flexible shift pattern between 08:00 - 18:30, Monday – Friday and one Saturday shift every six weeks, 09:00 - 13:00. A bit about the job You’ll be the first point of contact for customers making a health insurance claim. Whether it’s booking an appointment, sorting out a bill, or arranging overnight care – you’ll guide them through every step. You’ll help customers access the private treatment they need, from outpatient tests to aftercare. You’ll also handle occasional complaints, with full support from your team. It’s a role that really matters – and one where you can make a big impact. Skills and experience we’re looking for * Great communication skills and experience in a customer-facing role. * Empathy and the ability to support people through difficult times. * A natural problem-solver who asks the right questions to get things done. * Detail-focused and confident making decisions based on facts. * Insurance or financial services experience is a bonus – but not essential. What you'll get for this role Our purpose - with you today, for a better tomorrow – is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague. * Starting salary between £25,400 and £28,500 (depending on location, skills, experience, and qualifications) * Bonus opportunity - 6% of annual salary Actual amount depends on your performance and Aviva’s. * Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in. * 25 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days * Aviva-funded Private Medical Benefit to help you get expert support when you need it * Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts * Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme * Brilliantly supportive policies including parental and carer’s leave * Flexible benefits to suit you, including sustainability options such as cycle to work * Make a difference, be part of our ___ and use your 3 paid volunteering days to help others * We take your wellbeing seriously with lots of support and tools ___ to learn more. Put a salary into this calculator to see what your total Aviva Reward could be. Aviva is for everyone We’re inclusive and ___ – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending at least 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues. To find out more about working at Aviva take a look ___ We'd love it if you could submit your application online. If you require an alternative method of applying, or if you have any queries in relation to the vacancy, please contact Peter Varga - .

Customer Advisor - Private Medical Insurance - Starting salary between £25,400 to £28,500 (depending on hours, skills, and experience) plus additional benefits Do you love helping people and making a real difference? Are you someone who thrives in a fast-paced environment and builds great relationships with ease? If you’re passionate about delivering brilliant service and supporting people when they need it most – we’d love to hear from you. Our standard full-time contracts are for 35 hours per week (with options for part time working, after the initial 18-week full time training period). However we want you to have the flexibility to increase your working hours if it suits you, so we also offer the option for an enhanced 40 hour contract. Flexible shift pattern between 08:00 - 18:30, Monday – Friday and one Saturday shift every six weeks, 09:00 - 13:00. A bit about the job You’ll be the first point of contact for customers making a health insurance claim. Whether it’s booking an appointment, sorting out a bill, or arranging overnight care – you’ll guide them through every step. You’ll help customers access the private treatment they need, from outpatient tests to aftercare. You’ll also handle occasional complaints, with full support from your team. It’s a role that really matters – and one where you can make a big impact. Skills and experience we’re looking for * Great communication skills and experience in a customer-facing role. * Empathy and the ability to support people through difficult times. * A natural problem-solver who asks the right questions to get things done. * Detail-focused and confident making decisions based on facts. * Insurance or financial services experience is a bonus – but not essential. What you'll get for this role Our purpose - with you today, for a better tomorrow – is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague. * Starting salary between £25,400 and £28,500 (depending on location, skills, experience, and qualifications) * Bonus opportunity - 6% of annual salary Actual amount depends on your performance and Aviva’s. * Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in. * 25 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days * Aviva-funded Private Medical Benefit to help you get expert support when you need it * Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts * Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme * Brilliantly supportive policies including parental and carer’s leave * Flexible benefits to suit you, including sustainability options such as cycle to work * Make a difference, be part of our ___ and use your 3 paid volunteering days to help others * We take your wellbeing seriously with lots of support and tools ___ to learn more. Put a salary into this calculator to see what your total Aviva Reward could be. Aviva is for everyone We’re inclusive and ___ – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending at least 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues. To find out more about working at Aviva take a look ___ We'd love it if you could submit your application online. If you require an alternative method of applying, or if you have any queries in relation to the vacancy, please contact Peter Varga - .

✨ Job Opportunity: Home Manager✨ Join Us and Lead a Service That Truly Changes Lives About the Role Are you an experienced Manager ready for your next career adventure? Do you thrive in a role where your leadership empowers others to live healthy, happy, and meaningful lives? If you’re looking for a fulfilling, people-focused career with real progression, this could be the perfect opportunity. We are seeking a passionate and dedicated Manager to oversee the day-to-day operations of our home, ensuring exceptional care, strong compliance, and a positive, person-centred environment. Key Responsibilities • Ensure the service meets the requirements of the Health and Social Care Act 2008 and CQC/CIW Fundamental Standards, • Maintain consistently high-quality service delivery, • Build strong communication and relationships with all stakeholders, • Deliver a service that is person-centred, accessible, flexible, and reliable, • Lead, motivate, and support the staff team, • Implement and maintain Quality Assurance processes, • Complete administrative duties efficiently, • Oversee budgeting and financial management, • Support staff training, development, and performance About You • Proven experience as a Care Manager, Service Manager, Deputy Manager, or Registered Manager, • Strong leadership and team management skills, • Excellent communication and interpersonal abilities, • Knowledge of regulatory requirements and quality standards, • Relevant health and social care qualifications, • Ability to manage multiple priorities and delegate effectively At Achieve together, this is more than a job — it’s the start of a meaningful career journey. We’ll support you to grow, develop, and reach your full potential. • Competitive salary, • Life insurance, • Stream – access to optional pay advances, • Ongoing training and professional development, • Employee wellbeing and welfare initiatives, • Access to counselling and mental health support, • Recognition schemes, team events, and social activities, • Employee discount programmes, • Staff incentives including Refer a Friend, Employee of the Month, and Heroes Awards, • A supportive, inclusive, and values-driven workplace Apply Now If you’re passionate about making a positive difference and excited to grow your career in care, we’d love to hear from you. Bring your experience, your enthusiasm, and your commitment — we’ll provide the training, support, and opportunities to help you shine. Start your journey with us today.

Job Title: Prisons Team Leader - Substance Misuse Team Location: Brixton, UK Salary: £33,082.00 per annum Employment Type: Full-time Reporting to: Service Manager Job Purpose: We are seeking a dynamic and engaging Prisons Team Leader to join our Substance Misuse Team within Heal - Nurse, based in Brixton, UK. This full-time role offers a competitive salary of £33,082.00 per annum. You will lead and manage a team of practitioners delivering health and wellbeing interventions to adult drug and alcohol users, utilising both harm reduction and abstinence-based treatment approaches. The successful candidate will inspire and develop a team dedicated to providing tailored support and interventions in a prison environment. This is an opportunity for a motivated leader to make a meaningful impact on individuals managing substance misuse, helping them build productive and positive futures. Key Responsibilities: • Team Leadership and Management:, • Lead and manage a team of practitioners delivering health and wellbeing interventions, tailored to individual client needs, with a focus on harm reduction and abstinence-based approaches., • Allocate daily caseloads, including managing a small number of complex cases, ensuring that quality standards and performance targets are met., • Provide guidance and support to team members, ensuring that interventions are delivered effectively and that clients receive appropriate support., • Act as a role model during periods of change and provide effective leadership, ensuring the team remains motivated and engaged., • Service Delivery and Stakeholder Engagement:, • Act as the senior representative on-site when required, deputising for the Service Manager to ensure the smooth running of the service., • Establish and maintain strong relationships with key stakeholders, including prison governors, healthcare providers, and other relevant agencies, to ensure effective service delivery., • Ensure data accuracy and the timely submission of required reports to contractors and partners, maintaining transparency and accountability., • Performance Management:, • Ensure that performance targets set by the organisation, commissioners, and contractors are met consistently., • Monitor and manage team performance, addressing issues as they arise in collaboration with HR and the Regional Service Manager (RSM)., • Participate in regular reviews, including quarterly line management and probation reviews, for personal development and ensuring that team members continue to progress in their roles., • Quality and Safety:, • Ensure compliance with service standards and conduct regular audits to identify areas for improvement., • Promote a culture of safety and wellbeing, both for the team and clients, ensuring adherence to all relevant health and safety regulations. Perks and Benefits: • Competitive annual salary of £33,082.00., • Full-time employment with opportunities for personal and professional development., • Access to a therapy allowance to maintain a healthy work-life balance and self-care., • Participation in quarterly line management and probation reviews, ensuring continued growth and development., • Collaborative working environment with strong partnerships with HR and the Regional Service Manager (RSM)., • Opportunities for career progression through regular reviews and ongoing support. Person Specification: • Experience in leading teams, with a proven ability to manage and motivate staff to achieve performance targets., • In-depth knowledge of substance misuse treatment approaches, including harm reduction and abstinence-based models., • Strong interpersonal and communication skills, with the ability to build relationships with internal and external stakeholders., • Ability to manage a complex caseload and make sound decisions under pressure., • Understanding of data accuracy, performance management, and reporting procedures. Living and Working in Brixton: Brixton offers a unique living experience with its rich cultural diversity and thriving arts and music scene. The area boasts excellent transport connections to central London, a wide variety of restaurants and eateries, and a strong sense of community with numerous local events. Brixton is an exciting and vibrant area, making it an excellent place to live and work. About Sanctuary Personnel: Sanctuary Personnel is an award-winning recruitment agency with a trusted reputation for delivering high-quality roles in the public and private sectors. We are committed to finding roles that match your skills and experience, and we are proud of our Excellent Trustpilot rating from over 1,000 reviews. We work hard to secure the best possible rates and support for our candidates.

World Wide Technology (WWT), a global technology integrator and IT solutions provider. World Wide Technology, established in 1990 in St. Louis, Missouri, collaborates with OEMs like Cisco and Dell EMC to offer infrastructure security and custom app development services to Fortune 500 companies in various sectors. With over 10,000 employees globally, we generate $20 billion in annual revenue and operate in regions including the US, UK, Canada, Europe, Costa Rica, APAC, and Middle East. We're proud to be consistently recognized as a top employer by Fortune and Glassdoor for 14 years in a row. World Wide Technology is looking for a Core Network Engineer. This role is part of WWT’s Strategic Resourcing services and is a contract role. The candidate will be supporting a WWT customer and will be employed by one of WWT’s preferred partners. The partner will provide full compensation and benefit information prior to employment with the partner. Please help me with the information needed to process your application, and I will contact you to discuss the role. This is a contract Role & Inside IR35 Core Network Engineer Contract Duration: 6 months contract Location: Bromley, UK (Hybrid - 2 days onsite a week) Role Overview: We are seeking an experienced Senior Network Engineer with deep expertise in designing, implementing, and troubleshooting complex network infrastructures. The ideal candidate will have hands-on experience with advanced networking technologies, automation tools, and operational best practices in large-scale enterprise environments. Key Responsibilities: • Design, implement, and maintain LAN/MAN/WAN networks, ensuring high availability and security., • Troubleshoot complex networking issues across multi-vendor environments., • Collaborate with cross-functional teams using Agile methodologies and tools like JIRA and Confluence., • Manage configuration and compliance using tools such as Forward Networks and HPNA., • Utilize monitoring and diagnostic tools (SevOne, Splunk, NetScout, Wireshark, NDC, HPNA, NNMI, OBM, IBM Watson, NSO) for proactive network management., • Drive network automation initiatives using industry-standard tools and processes., • Ensure adherence to security and resiliency standards across metro, long-haul, and subsea optical networks. Required Skills & Experience: • Expert-level knowledge of core networking technologies:, • IPv4/IPv6, L2VPN, MPLS-E, Segment Routing, ISIS Level 2, Multicast mLDP, BGP, EIGRP, QoS, UDP, OSPF, MetroE, DWDM, Dark Fiber, Carrier Circuits, Leased Line, Broadband, Direct Internet Access., • Tunneling protocols: MACSEC, IPSEC, SSL/TLS, GRE, DMVPN., • Routers, Switches, NHRP, ACL, VPN., • Strong understanding of optical networking fundamentals and resiliency principles., • Experience troubleshooting complex network problems in enterprise environments., • Familiarity with network automation tools and scripting., • Excellent communication and client-facing skills; ability to work with all levels of management., • Self-directed, organized, and detail-oriented with strong analytical skills. Nice to Have: • Experience with DMZ, Cisco NSO, and Dark Fiber deployments. All candidates will need to go through a background check. Must be eligible to live and work in the UK. Only successful candidates will be contacted. EQUAL OPPORTUNITIES World Wide Technology is committed to equal opportunities and actively seeks applications from all sectors of the community irrespective of sex, race, color, nationality, ethnic or national origin, disability, marital status, sexual orientation, having responsibility for dependents, age, religion/beliefs, or any other reason which cannot be shown to be justified. Equal Opportunity Employer Minorities/Women/Veterans/Disabled

Engineering Manager If you are interested in working on a small site that gives you a hands on, varied leadership role, this could be the perfect next opportunity for your career. With a number of exciting business wide initiatives from new product introductions and operational increases, through to expansions and new site launches, this leading pharmaceutical business is in a very exciting period of growth and transition. This specific hire is for their site in South London / North Surrey and will take full accountability for a small team and be responsible for maintenance, servicing and take a strong involvement in engineering projects. To take on this role you do not needto be an engineering veteran – it’s a two person team and therefore the key is that you can get stuck in and are willing to take on a number of the duties directly on a day to day basis. Full training will be provided in the pharmaceutical equipment and processes. The standard hours are 7am to 3pm Mon-Fri – but you need to be flexible as there will be call outs (including nights and weekends). Overtime/TOIL is available. For further information please contact Mark Bux-Ryan. Key experience: • Minimum of 2 years hands on experience in a hands on engineering / maintenance setting – must be within manufacturing., • Pharmaceutical and/or GMP experience would be a nice to have but is not essential, • Supervisory experience ideal but not essential if you have the depth of technical experience and the capability to manage, • Must live (or be willing to live) within one hour of the facility due to call out requirements, • Mechanical and electrical engineering capability would be beneficial Engineer, maintenance, service, field, site, mechanical, electrical, CQV, validation, project, team, leader, supervisor, senior, engineering, manufacturing, chemical, food, pharma, GMP

GVR Solutions are working with a well-established specialist carpentry and joinery contractor based in Kent, delivering high-quality packages across the residential sector. Known for their craftsmanship, reliability, and long-standing client relationships, they are now seeking an experienced Operations Manager to support the next stage of their growth. As Operations Manager, you will take overall responsibility for the day-to-day operational performance of the business, ensuring projects are delivered safely, on time, within budget, and to the highest standards of quality. This is a senior, hands-on role, working closely with directors, commercial teams, site managers, and subcontractors. Key Responsibilities: • Oversee and manage multiple carpentry and joinery projects from pre-start through to completion, • Coordinate site teams, supervisors, and subcontract labour, • Ensure programmes, labour plans, and material schedules are effectively managed, • Drive health & safety compliance across all sites, • Monitor project performance, identifying risks and implementing solutions, • Liaise with clients, main contractors, and suppliers to maintain strong working relationships, • Support commercial performance alongside QS / commercial teams, • Contribute to continuous improvement of operational systems and procedures Requirements: • Proven experience in an Operations Manager / Senior Contracts Manager role, • Strong background within carpentry and joinery or interior fit-out, • Experience managing multiple live projects simultaneously, • Excellent leadership, communication, and organisational skills, • Strong understanding of construction health & safety regulations, • Commercially aware with a problem-solving mindset, • Full UK driving licence What’s on Offer: • Competitive salary (DOE), • Company vehicle or car allowance, • Long-term, stable role within a respected specialist contractor, • Opportunity to play providing role in business growth and strategy, • Supportive, professional working environment

Trainee Cyber Security Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first Cyber Security role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as 142 per month. The Programme Complete this 8-10 week online training with just 2 hours per day of study time. You will learn industry-recognised methodologies, network security, threat detection, vulnerability management, and incident response, while building practical experience with Live Labs. The programme includes earning CompTIA certifications (A+, Network+, Security+) recognised by UK employers, expert tutor support throughout your studies, dedicated job placement support with CV rewrite, interview preparation, and access to exclusive job opportunities. The Outcome 93% of graduates secure cyber security roles within 3 months. Starting salaries: 28,000 38,000+ Who This Is For The programme is completely beginner-friendly, so no experience is needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in Cyber Security? Limited spaces available. Apply now for the next available cohort.

A Delivery Consultant with a at least 6m experience to delivery into Private sector clients. You will work amongst some of the highest billers in this industry and have access to lots of live roles and a great progression scheme via delivery or 360 routes. Commission is between 15% to 20% with half

Job Title: Cladding Sales Specialist – B2B Area Sales Location: Must live in SW, SM, SE, CR, DA, or BR postcodes Salary: £30,000 – £50,000 basic + uncapped commission About the Role: Are you an ambitious sales professional with a passion for building materials? We’re

We are seeking caring, reliable and responsive Relief Support Workers to join our team providing person-centred care and support to older people and adults with support needs within an Extra Care Scheme in Bromley.Extra care housing enables older people to live as independently as possible in a frie

Job title: Business Development Manager Department: Sales Reports to: Commercial Director Contract: Full time, permanent Hours: 40 per week Salary: £45k p.a. Role Overview: The Business Development Manager will be responsible for driving growth by identifying new business opportunities, building strong client relationships, and promoting the company’s creative and technical production services. This role requires a proactive approach to market research and strategic planning to expand the company’s presence in the events and production sectors. Key Responsibilities: • Identify and develop new business opportunities within target markets (e.g., live events, exhibitions, corporate productions)., • This role focuses on identifying opportunities, qualifying leads, building relationships, and closing deals using phone, email & CRM systems, • CRM system – Manage all inbound enquiries to the business from different streams (e.g. via phone, email or form enquires), • Monitor market trends and competitor activity to inform business strategy., • Achieve sales targets and contribute to revenue growth through effective pipeline management. Skills & Qualifications: • Proven experience in business development or sales, ideally within technical production or events industry., • Strong phone-based and written communication skills, • Ability to build rapport and influence decision-makers remotely, • Experience using CRM systems, • Self-motivated with strong time-management skills Key Attributes: • Results-driven and proactive., • Strong relationship-building skills., • Ability to manage multiple projects and deadlines. What We Offer: • Competitive salary - £45k, • Opportunity to work on exciting projects in the live events and production industry., • Supportive team environment with room for growth.

A very high billing successful agency are looking for a Delivery Recruitment Consultant or a Recruitment Consultant level to work on existing live roles in a very lucrative renewable energy market. The Position * Delivery Consultant role initially progressing to 360 Recruitment in the future with

Are you passionate about hospitality and looking for a new adventure? The New Inn, a friendly and vibrant local pub in the heart of Hayes, Bromley, is looking for enthusiastic, reliable, and customer-focused individuals to join our team as Full-Time Live-In or Live-Out Food & Beverage Manager.

I am currently in need of a Senior Site Manager to manage a £5 million cut & carve refurbishment of an existing block of shops within a live Shopping Centre in South East London for a Main Contractor.The works involved will include extensive structural alterations, new lift shafts, new managem

As an organisation, this highly respected financial services organisation is renowned for assisting their clients invest for the future and to live the lives they want to lead.They feel it is their responsibility to take seriously, and it inspires them to do the right thing.With this in mind they ar

WHY ATTEND? Explore live teaching vacancies across Croydons schools and education settings Meet senior leaders, recruitment teams and training providers face-to-face Get tailored advice on routes into teaching, career progression and local support Learn about life and work in Londons largest borough

We are one of the very few Living Wage Foundation employers in Croydon and Sutton and our unique Industry leading Caring for carers pledge sets out all of the things that you can expect to receive from us, as a care professional with Radfield Home Care: ?? A culture which is welcoming, friendly, su

Relocate to the Channel Islands!.Location: Relocation to Jersey, Channel Islands, United Kingdom.Salary: £50,000 to £60,000 + Vehicle + Healthcare.Amazing opportunity to live and work on the island paradise of Jersey in the Channel Islands enjoying the benefits of island life along with a very fav

A creative event company in Croydon is looking for a Freelance Producer to curate and promote live events.

We have a great opportunity for a talented Structural Revit Technician to work on high profile and iconic schemes in a fast-paced environment where the team works closely to successfully deliver schemes. Strong skills with both AutoCAD & Revit. A minimum of 4 years' experience using Revit on live bu

Our Acoustics team in Croydon are seeking a graduate to join them from. When a graduate starts at AECOM, we pair them with a senior member of the team who will guide and mentor them through their initial period working on live projects and business development tasks, to support with any technical qu

As Assistant Advertising Manager, you will support the sales team managing a leading B2B portfolio that includes print, digital, mobile, and live event platforms. Assistant Advertising Manager - Leading B2B Portfolio. Do you want to work for a leading publishing company in Croydon? Do you have exten

St George, a division of Berkeley Group, is committed to creating exciting, enduring places where people love to live, work and relax. Actively engaged in the local community and committed to representing the Berkeley brand. Berkeley Foundation volunteer day.

An event organization based in Croydon, United Kingdom is seeking a Live Event Production Manager to oversee the production for an upcoming festival. Candidates should have proven experience in live event production, excellent organizational skills, and a good understanding of health and safety requ

Software Engineer or Software Developer or in a relevant role. As a software developer, you’ll be the brain behind crafting, developing, testing, going live and maintaining the system. Familiar with the software development life cycle (SDLC) from analysis to deployment.

A leading residential contractor/developer in the UK is seeking a Design Manager to oversee live projects across SE London and Kent. This position offers a hands-on environment where Design Managers can make real contributions beyond just having a title.

A global live music community organization is seeking a Freelance Producer in Croydon to curate and promote concerts.

Maintain the highest standards of uniform, personal presentation and hygiene protocols in accordance with Hostelling Scotland’s relevant Standing Operating Procedures. Deliver high level of quality service and standard with the guest facility provision being welcoming, clean, comfortable, secure,

Were recruiting a female live-in carer for a stable, ongoing private placement. This role suits someone calm, professional, and confident working one-to-one in a private household. The placement is long term, with clear routines and continuity.

Some catering experience would be beneficial, as we cater for in-house guests and takeaways, always striving to deliver high-quality food and meet budgetary targets while maintaining the highest standards of cleanliness and hygiene. Delivering excellent customer service by maintaining a welcoming, c

We have an amazing opportunity for you to become a Personal Assistant to a young, university student based in Bath, studying. Join her team of PAs to provide her personal care and independent living. Live in Lifestyle Assistant for a Biomedical Sciences Uni Student.

As a Hostel Assistant, you will be undertaking a range of hostel duties including full reception service, check-in/out, handling customer enquiries, cleaning & housekeeping and basic catering duties. Are you naturally a great communicator who loves to work as part of a team and help contribute to pr