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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
People Group is recruiting Construction Assurance Specialists to support a leading rail consultancy We have multiple roles available across Derby, London (Kings Cross & Stratford), and York. Rate: 360 Inside IR35 Duration: 12 months Working Arrangements: 3 Day/Night/Weekend shifts based on-site/office and 2 days from home Responsibilities: Undertake site visits to provide governance and assurance activities. Monitor construction activities and ensure proportionate risk mitigation. Validate design risk assessments and interdisciplinary checks via audit and constructability reviews. Ensure compliance with Railway Group Standards, Network Rail procedures and legislation. Review and approve Construction Phase Plans, Work Package Plans, and site-specific risk assessments. Ensure H&S documentation and design assurance are accepted before site operations. Track and report discrepancies between planned and actual work. Support AMP/EIS process for asset data exchange and maintenance. Collate site data to share good practice and drive continuous improvement. Ensure non-conformances are addressed and closed out promptly. Build relationships with outside and third parties as well as site teams. Attend planning meetings and provide guidance on access and logistics. Produce SMART and Targeted assurance reports and maintain site diaries. Provide functional support to the Asset Protection Team. Report engineering issues and variations in construction. Leading Construction Assurance Risk Management. Skills and Experience Required Understanding of Network Rail standards and assurance principles. Proven experience in construction management. CITB Site Safety Manager Safety Training Scheme or equivalent.
Jan 21, 2026
Contractor
People Group is recruiting Construction Assurance Specialists to support a leading rail consultancy We have multiple roles available across Derby, London (Kings Cross & Stratford), and York. Rate: 360 Inside IR35 Duration: 12 months Working Arrangements: 3 Day/Night/Weekend shifts based on-site/office and 2 days from home Responsibilities: Undertake site visits to provide governance and assurance activities. Monitor construction activities and ensure proportionate risk mitigation. Validate design risk assessments and interdisciplinary checks via audit and constructability reviews. Ensure compliance with Railway Group Standards, Network Rail procedures and legislation. Review and approve Construction Phase Plans, Work Package Plans, and site-specific risk assessments. Ensure H&S documentation and design assurance are accepted before site operations. Track and report discrepancies between planned and actual work. Support AMP/EIS process for asset data exchange and maintenance. Collate site data to share good practice and drive continuous improvement. Ensure non-conformances are addressed and closed out promptly. Build relationships with outside and third parties as well as site teams. Attend planning meetings and provide guidance on access and logistics. Produce SMART and Targeted assurance reports and maintain site diaries. Provide functional support to the Asset Protection Team. Report engineering issues and variations in construction. Leading Construction Assurance Risk Management. Skills and Experience Required Understanding of Network Rail standards and assurance principles. Proven experience in construction management. CITB Site Safety Manager Safety Training Scheme or equivalent.
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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Summary We are the public body that looks after England's historic environment. We champion historic places, helping people understand, value and care for them. Historic England have a fantastic opportunity for you to join us as our HR Systems Data Analyst. This is a Full Time, 6 months Fixed-Term Contract based in Swindon with hybrid working. We offer a wide benefits package including a competitive defined benefit pension scheme to which we make 28.97% employer contributions, a generous 28 days holiday, corporate discounts, free entry into English Heritage sites across the country and development opportunities to ensure you achieve your goals. To view our full range of benefits please follow the link here . What you will be doing As our HR Systems Data Analyst, you will take a leading role to identify and implement improvements to Historic England's analysis and reporting of essential workforce management data. Your primary focus will be on analysing and evaluating employee headcount information and associated workflow processes. You will conduct a thorough assessment of current HR and Payroll practices to identify areas for improvement and recommend actionable solutions. This includes streamlining workflows, proposing more insightful reporting approaches, and enhancing the integration and alignment of employee data across multiple databases. Your proposals will drive strategic improvements and enable the implementation of robust, organisation-wide solutions. You will engage senior stakeholders, oversee cross-functional collaboration, and ensure excellence in data governance, reporting, and change management, to enable more streamlined and intuitive ways or working. Who we are looking for: Strong functional understanding of HR systems and end to end HR processes, with experience of iTrent considered advantageous. Proven Reporting and Management Information capability, with the ability to interpret, develop, and present insights. Experience with tools such as Power BI or Business Objects is beneficial but not essential. Advanced Excel proficiency and robust data analysis skills, including the ability to work confidently with complex datasets. High standard of process analysis and process re engineering, with a track record of identifying improvements and implementing streamlined, efficient workflows. Effective stakeholder management, demonstrating the ability to build relationships, influence decision making, and communicate clearly across a range of audiences. Please note your application will be scored and assessed against the above criteria. We are an equal opportunity employer which values diversity and inclusion. If you have a disability or neurodiversity, we would be happy to discuss reasonable adjustments to the job with you. Having won the Gold Award from MIND for workplace wellbeing in seven consecutive years, we also recognise the importance of a healthy work-life balance. We are an inclusive employer and believe that flexible working options are for everyone. We want to make sure our working arrangements don't prevent anyone from joining us because of their personal circumstances. We also want to provide you with the best balance in your home and work life that we can. We are open to considering options including job sharing, part-time working, compressed hours working and different working locations, including hybrid working. Please visit our jobs pages or contact us to find out more. Why work for Historic England We are committed to promoting equality of opportunity for everyone. Diversity helps us to perform better and attract more people to support our work. We welcome and encourage job applications from people of all backgrounds. We particularly encourage applications from Black, Asian and Minority Ethnic candidates and candidates with disabilities as they are underrepresented within Historic England at this level. Historic England want all of our candidates to shine in the recruitment process. Please tell us what we can do to make sure you can show us your very best self. You can contact us by email at if you have any recruitment queries. At Historic England we use a hiring system called Applied. Applied is a behavioural science-backed recruitment platform that reduces bias, improves quality of hire and increases diversity. We do not use CV application for the majority of our hiring processes. You will answer a selection of questions that allow our hiring teams to test your skills and suitability for the role. At Historic England, we value the expertise and individuality each candidate brings and want to hear about this in your own words. If you require the use or AI tools or other resources to support your application, we ask that all information is factually accurate, original, and reflects your own experience. To best represent yourself, we encourage you to write in your own words and use AI-generated content only as inspiration-not as direct input. Provisional interview dates: Thursday 05th February 2026 in person in the HE Swindon office. Please follow the link for a full copy of the Job Description -
Jan 21, 2026
Full time
Summary We are the public body that looks after England's historic environment. We champion historic places, helping people understand, value and care for them. Historic England have a fantastic opportunity for you to join us as our HR Systems Data Analyst. This is a Full Time, 6 months Fixed-Term Contract based in Swindon with hybrid working. We offer a wide benefits package including a competitive defined benefit pension scheme to which we make 28.97% employer contributions, a generous 28 days holiday, corporate discounts, free entry into English Heritage sites across the country and development opportunities to ensure you achieve your goals. To view our full range of benefits please follow the link here . What you will be doing As our HR Systems Data Analyst, you will take a leading role to identify and implement improvements to Historic England's analysis and reporting of essential workforce management data. Your primary focus will be on analysing and evaluating employee headcount information and associated workflow processes. You will conduct a thorough assessment of current HR and Payroll practices to identify areas for improvement and recommend actionable solutions. This includes streamlining workflows, proposing more insightful reporting approaches, and enhancing the integration and alignment of employee data across multiple databases. Your proposals will drive strategic improvements and enable the implementation of robust, organisation-wide solutions. You will engage senior stakeholders, oversee cross-functional collaboration, and ensure excellence in data governance, reporting, and change management, to enable more streamlined and intuitive ways or working. Who we are looking for: Strong functional understanding of HR systems and end to end HR processes, with experience of iTrent considered advantageous. Proven Reporting and Management Information capability, with the ability to interpret, develop, and present insights. Experience with tools such as Power BI or Business Objects is beneficial but not essential. Advanced Excel proficiency and robust data analysis skills, including the ability to work confidently with complex datasets. High standard of process analysis and process re engineering, with a track record of identifying improvements and implementing streamlined, efficient workflows. Effective stakeholder management, demonstrating the ability to build relationships, influence decision making, and communicate clearly across a range of audiences. Please note your application will be scored and assessed against the above criteria. We are an equal opportunity employer which values diversity and inclusion. If you have a disability or neurodiversity, we would be happy to discuss reasonable adjustments to the job with you. Having won the Gold Award from MIND for workplace wellbeing in seven consecutive years, we also recognise the importance of a healthy work-life balance. We are an inclusive employer and believe that flexible working options are for everyone. We want to make sure our working arrangements don't prevent anyone from joining us because of their personal circumstances. We also want to provide you with the best balance in your home and work life that we can. We are open to considering options including job sharing, part-time working, compressed hours working and different working locations, including hybrid working. Please visit our jobs pages or contact us to find out more. Why work for Historic England We are committed to promoting equality of opportunity for everyone. Diversity helps us to perform better and attract more people to support our work. We welcome and encourage job applications from people of all backgrounds. We particularly encourage applications from Black, Asian and Minority Ethnic candidates and candidates with disabilities as they are underrepresented within Historic England at this level. Historic England want all of our candidates to shine in the recruitment process. Please tell us what we can do to make sure you can show us your very best self. You can contact us by email at if you have any recruitment queries. At Historic England we use a hiring system called Applied. Applied is a behavioural science-backed recruitment platform that reduces bias, improves quality of hire and increases diversity. We do not use CV application for the majority of our hiring processes. You will answer a selection of questions that allow our hiring teams to test your skills and suitability for the role. At Historic England, we value the expertise and individuality each candidate brings and want to hear about this in your own words. If you require the use or AI tools or other resources to support your application, we ask that all information is factually accurate, original, and reflects your own experience. To best represent yourself, we encourage you to write in your own words and use AI-generated content only as inspiration-not as direct input. Provisional interview dates: Thursday 05th February 2026 in person in the HE Swindon office. Please follow the link for a full copy of the Job Description -
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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
An excellent opportunity for an Experienced Laser & Press Brake Programmer to join a well-established group based in Nelson, Lancashire! About The Company: They provide an all-round design, laser, fold, and fabrication service to a broad and expanding customer base. We have a vacancy for an experienced Laser & Press Brake Programmer to join their Laser & Fold department. The ideal candidate will understand both the laser and fold operations, some leadership skills will be required. About The Role Process Laser/Fold requests from Sales & CAD departments using DXF import techniques to generate work order part files for cutting. Create nests for Mitsubishi 4kw fibre laser cutter. Identify potential problem parts before they get to the machine, applying relevant tagging/lead-in/cut path solutions and/or liaising with CAD department. Communicate with laser operator to troubleshoot in the event of program errors, rejected parts, stock issues etc. Manage and maintain stock/offcut database, ensuring maximum utilisation/minimum waste. Sheet purchasing in the event of stock shortfall/replenishment (communicating with suppliers, submitting RFQs, raising purchase orders). Program work orders in a logical manner - collaborating with departments leads to ensure production schedules are maintained. Skills & Experience Experience with SigmaNEST programming software highly desirable (or equivalent industry standard programming software - Lantek, Radan). Strong knowledge of sheet metal manufacturing processes and the ability to read, interpret and work from technical engineering drawings. Basic CAD/geometry modification knowledge desired but not essential. "Solidworks" is desirable. Good numeracy and computer skills Good communication skills both verbal and visual Problem solving skills The ability to multi-task Benefits £17.00 per hour to start. Candidates with Solidworks & Excel skills can expect a higher rate. 38 Hours per week Mon - Thus 08:00 - 16:30 Fri 08:00 - 14:00, possible option of a 4-day week once "in the swing". Overtime available 30 days holiday (including bank holidays) + 1 day after 5 years' service Company Pension Overalls & Laundry Service On-site secure parking Staff Events The employer fully supports Equality in Employment. All employment is decided based on qualifications, merit and business need.
Jan 21, 2026
Full time
An excellent opportunity for an Experienced Laser & Press Brake Programmer to join a well-established group based in Nelson, Lancashire! About The Company: They provide an all-round design, laser, fold, and fabrication service to a broad and expanding customer base. We have a vacancy for an experienced Laser & Press Brake Programmer to join their Laser & Fold department. The ideal candidate will understand both the laser and fold operations, some leadership skills will be required. About The Role Process Laser/Fold requests from Sales & CAD departments using DXF import techniques to generate work order part files for cutting. Create nests for Mitsubishi 4kw fibre laser cutter. Identify potential problem parts before they get to the machine, applying relevant tagging/lead-in/cut path solutions and/or liaising with CAD department. Communicate with laser operator to troubleshoot in the event of program errors, rejected parts, stock issues etc. Manage and maintain stock/offcut database, ensuring maximum utilisation/minimum waste. Sheet purchasing in the event of stock shortfall/replenishment (communicating with suppliers, submitting RFQs, raising purchase orders). Program work orders in a logical manner - collaborating with departments leads to ensure production schedules are maintained. Skills & Experience Experience with SigmaNEST programming software highly desirable (or equivalent industry standard programming software - Lantek, Radan). Strong knowledge of sheet metal manufacturing processes and the ability to read, interpret and work from technical engineering drawings. Basic CAD/geometry modification knowledge desired but not essential. "Solidworks" is desirable. Good numeracy and computer skills Good communication skills both verbal and visual Problem solving skills The ability to multi-task Benefits £17.00 per hour to start. Candidates with Solidworks & Excel skills can expect a higher rate. 38 Hours per week Mon - Thus 08:00 - 16:30 Fri 08:00 - 14:00, possible option of a 4-day week once "in the swing". Overtime available 30 days holiday (including bank holidays) + 1 day after 5 years' service Company Pension Overalls & Laundry Service On-site secure parking Staff Events The employer fully supports Equality in Employment. All employment is decided based on qualifications, merit and business need.
A well-loved retail brand in the United Kingdom is looking for a Head of Software Engineering to lead software engineering teams and drive innovation in personalisation solutions. This role requires significant hands-on experience as a polyglot senior software engineer, and you will work closely with Product and Data Science teams to deliver robust technical solutions. You'll be pivotal in fostering a learning culture and promoting modern engineering practices. Join us to make a significant impact on millions of customers.
Jan 21, 2026
Full time
A well-loved retail brand in the United Kingdom is looking for a Head of Software Engineering to lead software engineering teams and drive innovation in personalisation solutions. This role requires significant hands-on experience as a polyglot senior software engineer, and you will work closely with Product and Data Science teams to deliver robust technical solutions. You'll be pivotal in fostering a learning culture and promoting modern engineering practices. Join us to make a significant impact on millions of customers.
We are looking for a Senior Software Engineer with proficiency in C# programming to lead the development of the IoT device software and cloud platform software for our connected energy storage systems. The successful candidate will be responsible for the development and maintenance of communications and cloud backend for our IoT devices. This role is based at our head office in Oxford in the UK. About Brill Power Brill Power , a subsidiary of Palmer Energy Technology, works at the cutting edge of energy storage, power electronics, and battery software. We are a team of problem solvers and innovators, keen to make energy storage as efficient, sustainable, and widely adopted as possible. Established in 2016, Brill Power is a deep tech company with roots in the Engineering Department at the University of Oxford. Acquired in 2025 by Palmer Energy Technology Limited, we continue to grow our impact and expand to new markets. We are a small and talented team based in Oxford who are looking for new members to join us for the next chapter of Brill Power. Fun Essential to success. We love what we do. We think you should too. We are a team with mutual respect and understanding We are driven by innovation and leading the way in battery intelligence We work collaboratively to solve problems The Role We are looking for a Senior Software Engineer with proficiency in C# programming to lead the development of the IoT device software and cloud platform software for our connected energy storage systems. The successful candidate will be responsible for the development and maintenance of communications and cloud backend for our IoT devices. This role is based at our head office in Oxford in the UK. Job Overview and responsibilities Brill Power develops innovative software and hardware for battery system and energy management. Our proprietary IoT devices enable connectivity, data acquisition and control of battery energy storage systems to provide our customers with an end to end hardware + software solution. The person who joins us as Senior Software Engineer will design, develop and deploy the software that runs on our IoT devices and our cloud platform as part of the software and data team. The successful candidate will work closely with our Oxford based data, firmware and aftersales engineers, as well as our parent company's international technical teams to deliver and maintain our IoT infrastructure. Responsibilities Include IoT Software Development : Developing and maintaining the C# codebase for our IoT devices Cloud Software Development : Developing and maintaining the C# codebase for our cloud platform API Development : Developing APIs to expose data to external systems, or to ingest data from those systems into our own Monitoring & Troubleshooting : Maintaining system reliability, performance, and resolving connectivity issues Collaboration and Communication : Working with internal and external software teams, battery & data experts Team Dynamics : Maintaining a positive and productive atmosphere within the team Skills and Experience Successful candidates will have experience with the following: 8 years' experience in C# (.NET Core 8 and later) Experience with cloud services (ideally Azure) Experience with Docker Undergraduate degree in Computer Science, Engineering, or equivalent experience Nice to Have Experience with CAN, Modbus QuestDB, DuckDB or KDB Working knowledge of C++, Python Track record of successfully delivering commercial IoT solutions Working Style: Fast learner, eager to pick up new technologies Pragmatic; comfortable with ambiguity and changing requirement Able to work autonomously Comfortable working in a small team with a diverse range of responsibilities Brill Power Benefits In addition to a fun and friendly team and working environment, we offer: Competitive salary, based on experience 25 days of holiday plus bank holidays Benefits package to be agreed Full time, permanent role, with flexible working hours Regular team social events Get in touch There is no perfect candidate,and no single person can do it all, but if this sounds like you and you're looking for somewhere to thrive,we want to hear from you. Brill Power is an equal opportunity employer and welcome applications from all, without regard to their race, sex, disability, religion/belief, gender reassignment, national origin, sexual orientation, or age. Please send a CV and cover letter to , clearly indicating where your skills and experience match what we are looking for in this role. Brill Power is proud to be a certified Oxford Living Wage employer.
Jan 21, 2026
Full time
We are looking for a Senior Software Engineer with proficiency in C# programming to lead the development of the IoT device software and cloud platform software for our connected energy storage systems. The successful candidate will be responsible for the development and maintenance of communications and cloud backend for our IoT devices. This role is based at our head office in Oxford in the UK. About Brill Power Brill Power , a subsidiary of Palmer Energy Technology, works at the cutting edge of energy storage, power electronics, and battery software. We are a team of problem solvers and innovators, keen to make energy storage as efficient, sustainable, and widely adopted as possible. Established in 2016, Brill Power is a deep tech company with roots in the Engineering Department at the University of Oxford. Acquired in 2025 by Palmer Energy Technology Limited, we continue to grow our impact and expand to new markets. We are a small and talented team based in Oxford who are looking for new members to join us for the next chapter of Brill Power. Fun Essential to success. We love what we do. We think you should too. We are a team with mutual respect and understanding We are driven by innovation and leading the way in battery intelligence We work collaboratively to solve problems The Role We are looking for a Senior Software Engineer with proficiency in C# programming to lead the development of the IoT device software and cloud platform software for our connected energy storage systems. The successful candidate will be responsible for the development and maintenance of communications and cloud backend for our IoT devices. This role is based at our head office in Oxford in the UK. Job Overview and responsibilities Brill Power develops innovative software and hardware for battery system and energy management. Our proprietary IoT devices enable connectivity, data acquisition and control of battery energy storage systems to provide our customers with an end to end hardware + software solution. The person who joins us as Senior Software Engineer will design, develop and deploy the software that runs on our IoT devices and our cloud platform as part of the software and data team. The successful candidate will work closely with our Oxford based data, firmware and aftersales engineers, as well as our parent company's international technical teams to deliver and maintain our IoT infrastructure. Responsibilities Include IoT Software Development : Developing and maintaining the C# codebase for our IoT devices Cloud Software Development : Developing and maintaining the C# codebase for our cloud platform API Development : Developing APIs to expose data to external systems, or to ingest data from those systems into our own Monitoring & Troubleshooting : Maintaining system reliability, performance, and resolving connectivity issues Collaboration and Communication : Working with internal and external software teams, battery & data experts Team Dynamics : Maintaining a positive and productive atmosphere within the team Skills and Experience Successful candidates will have experience with the following: 8 years' experience in C# (.NET Core 8 and later) Experience with cloud services (ideally Azure) Experience with Docker Undergraduate degree in Computer Science, Engineering, or equivalent experience Nice to Have Experience with CAN, Modbus QuestDB, DuckDB or KDB Working knowledge of C++, Python Track record of successfully delivering commercial IoT solutions Working Style: Fast learner, eager to pick up new technologies Pragmatic; comfortable with ambiguity and changing requirement Able to work autonomously Comfortable working in a small team with a diverse range of responsibilities Brill Power Benefits In addition to a fun and friendly team and working environment, we offer: Competitive salary, based on experience 25 days of holiday plus bank holidays Benefits package to be agreed Full time, permanent role, with flexible working hours Regular team social events Get in touch There is no perfect candidate,and no single person can do it all, but if this sounds like you and you're looking for somewhere to thrive,we want to hear from you. Brill Power is an equal opportunity employer and welcome applications from all, without regard to their race, sex, disability, religion/belief, gender reassignment, national origin, sexual orientation, or age. Please send a CV and cover letter to , clearly indicating where your skills and experience match what we are looking for in this role. Brill Power is proud to be a certified Oxford Living Wage employer.
Job Title: SAP Project Accountant (Oil and Gas Operator Client) UK RIGHT TO WORK REQUIRED Location: London Contract Length: 12 Months Job Description: Purpose of Role: â Provide hands-on support SAP Projects team across multiple workstreams. â The role focuses on data and ledger reconciliations, contributing to testing activities to help ensure accurate, controlled, and timely delivery of SAP related changes and outputs. Areas of Accountability, Responsibility and Competence: â Support SAP implementation activities by assisting with process understanding, documentation, and translation of reporting requirements into practical deliverables â Perform reconciliations between source data, sub-ledgers, general ledger, and reporting outputs â Support testing cycles, including test execution, evidence capture, defect logging, analysis, tracking â Assist with data validation activities (master data checks, migration reconciliation, completeness/accuracy checks) â Produce clear working papers and audit-ready documentation for reconciliations, testing, and control activities Critical Skills, Qualifications, Experience, etc.: â Experience preparing or supporting IFRS reporting and month-end close activities in a corporate or group finance environment â Experience performing complex reconciliations across different systems, ledgers and data sources. â Prior experience supporting SAP implementation projects in a finance capacity â Testing capability in a system implementation setting â Strong documentation standards and ability to produce clear working papers suitable for review With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
Jan 21, 2026
Contractor
Job Title: SAP Project Accountant (Oil and Gas Operator Client) UK RIGHT TO WORK REQUIRED Location: London Contract Length: 12 Months Job Description: Purpose of Role: â Provide hands-on support SAP Projects team across multiple workstreams. â The role focuses on data and ledger reconciliations, contributing to testing activities to help ensure accurate, controlled, and timely delivery of SAP related changes and outputs. Areas of Accountability, Responsibility and Competence: â Support SAP implementation activities by assisting with process understanding, documentation, and translation of reporting requirements into practical deliverables â Perform reconciliations between source data, sub-ledgers, general ledger, and reporting outputs â Support testing cycles, including test execution, evidence capture, defect logging, analysis, tracking â Assist with data validation activities (master data checks, migration reconciliation, completeness/accuracy checks) â Produce clear working papers and audit-ready documentation for reconciliations, testing, and control activities Critical Skills, Qualifications, Experience, etc.: â Experience preparing or supporting IFRS reporting and month-end close activities in a corporate or group finance environment â Experience performing complex reconciliations across different systems, ledgers and data sources. â Prior experience supporting SAP implementation projects in a finance capacity â Testing capability in a system implementation setting â Strong documentation standards and ability to produce clear working papers suitable for review With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
Consultant EcologistHome based, with occasional UK travelPermanent - Full TimeSalary Competitive DOE + Car/Car allowance & Flexible Benefits About the Role :Freedom is seeking a driven and dynamic Ecologist to be a key part of the strong delivery team, working closely with the Principal Ecological Consultant, providing technical oversight and delivery of land management activities across multiple work streams. Across multiple frameworks Freedom delivers advice on Environmental Land Management Strategy and Planning, Habitat Creation, Restoration and Management, Ecological Surveys and Impact Assessment, Biodiversity Net Gain and Monitoring, Ecological Compensation Strategies, Forestry and Woodland Management, Agricultural Land Management and Scheme Advice, Landscape Assessments, Land Restoration and Soils Advice, Drainage, Health, Safety and Environmental Compliance, Appointment and Management of Contractors, Stakeholder Liaison, Reporting and a wide range of other land management related activities. Freedom manages delivery from scoping, all the way through to completion, including all aspects of health and safety Key Responsibilities: Contributing to, producing, overseeing, and reviewing high quality ecological reports, including Preliminary Ecological Appraisal (PEA) and Ecological Impact Assessment (EcIA). Undertaking, overseeing, and reviewing Ecological Surveys, including Extended Phase 1, UKHab and Protected Species Surveys. Contribution to, producing and overseeing BNG assessments. Contribution to, producing and overseeing habitat management plans. Planning of field survey logistics, and preparation and implementation of survey methods. Compilation of project specific desk studies and literature reviews. Presentation, and interpretation, of data to contribute towards survey, monitoring and management reports. Overseeing, or acting as, Ecological Clerk of Works (ECoW) to deliver onsite ecological supervision/auditing/support. Data gathering and mapping using GIS, including QGIS Understanding, writing and reviewing risk assessment and method statements for safe site work. Managing projects and supporting office management and administrative tasks. Contributing towards bids, tenders and budget and project finance management. What We're Looking For: Requirements & Skills To hold an in-depth knowledge of ecology and survey techniques. At least 4 years of demonstrable consultancy experience (or equivalent within the industry) reflecting the elements listed above. Confident in Phase 1 habitats/UKHab surveys and good botanical skills. Confident in field survey covering a range of British wildlife (typically including bats, badger, birds otter, water vole, GCN, etc.). Species specialisms are welcomed, however an awareness of protected and priority species and habitat's role in wider ecosystems is also essential. Associate or Full member of the Chartered Institute of Ecology and Environmental Management (CIEEM). A good understanding of current wildlife and environmental legislation, policy trends, standards and established ecological guidance. A degree in Ecology, Biodiversity, Conservation Management, Environmental Science, or a relevant subject. Protected species class licence holder (bats as a preference) - Desirable. Having been a Named Ecologist or an Accredited Agent on EPSL's and badger mitigation licences - Desirable. Full UK driving licence. A positive, ambitious, determined and pragmatic outlook. Benefits: We're always evolving our benefits to ensure we're attracting and retaining great people.? Some of what you can expect includes:? Car Allowance / CarSalary sacrifice car scheme (Hybrid/Electric Vehicle) Pension with a?leading provider and?up to?8% employer contribution Personal Wellbeing and Volunteer Days Private Medical Insurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to suit from Dental Insurance, Gym Memberships, Give As You Earn, Travel Insurance, Tax Free Bikes. Personal development programme Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: Freedom are part of the NG Bailey Group, one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies Progression is something we value and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be
Jan 21, 2026
Full time
Consultant EcologistHome based, with occasional UK travelPermanent - Full TimeSalary Competitive DOE + Car/Car allowance & Flexible Benefits About the Role :Freedom is seeking a driven and dynamic Ecologist to be a key part of the strong delivery team, working closely with the Principal Ecological Consultant, providing technical oversight and delivery of land management activities across multiple work streams. Across multiple frameworks Freedom delivers advice on Environmental Land Management Strategy and Planning, Habitat Creation, Restoration and Management, Ecological Surveys and Impact Assessment, Biodiversity Net Gain and Monitoring, Ecological Compensation Strategies, Forestry and Woodland Management, Agricultural Land Management and Scheme Advice, Landscape Assessments, Land Restoration and Soils Advice, Drainage, Health, Safety and Environmental Compliance, Appointment and Management of Contractors, Stakeholder Liaison, Reporting and a wide range of other land management related activities. Freedom manages delivery from scoping, all the way through to completion, including all aspects of health and safety Key Responsibilities: Contributing to, producing, overseeing, and reviewing high quality ecological reports, including Preliminary Ecological Appraisal (PEA) and Ecological Impact Assessment (EcIA). Undertaking, overseeing, and reviewing Ecological Surveys, including Extended Phase 1, UKHab and Protected Species Surveys. Contribution to, producing and overseeing BNG assessments. Contribution to, producing and overseeing habitat management plans. Planning of field survey logistics, and preparation and implementation of survey methods. Compilation of project specific desk studies and literature reviews. Presentation, and interpretation, of data to contribute towards survey, monitoring and management reports. Overseeing, or acting as, Ecological Clerk of Works (ECoW) to deliver onsite ecological supervision/auditing/support. Data gathering and mapping using GIS, including QGIS Understanding, writing and reviewing risk assessment and method statements for safe site work. Managing projects and supporting office management and administrative tasks. Contributing towards bids, tenders and budget and project finance management. What We're Looking For: Requirements & Skills To hold an in-depth knowledge of ecology and survey techniques. At least 4 years of demonstrable consultancy experience (or equivalent within the industry) reflecting the elements listed above. Confident in Phase 1 habitats/UKHab surveys and good botanical skills. Confident in field survey covering a range of British wildlife (typically including bats, badger, birds otter, water vole, GCN, etc.). Species specialisms are welcomed, however an awareness of protected and priority species and habitat's role in wider ecosystems is also essential. Associate or Full member of the Chartered Institute of Ecology and Environmental Management (CIEEM). A good understanding of current wildlife and environmental legislation, policy trends, standards and established ecological guidance. A degree in Ecology, Biodiversity, Conservation Management, Environmental Science, or a relevant subject. Protected species class licence holder (bats as a preference) - Desirable. Having been a Named Ecologist or an Accredited Agent on EPSL's and badger mitigation licences - Desirable. Full UK driving licence. A positive, ambitious, determined and pragmatic outlook. Benefits: We're always evolving our benefits to ensure we're attracting and retaining great people.? Some of what you can expect includes:? Car Allowance / CarSalary sacrifice car scheme (Hybrid/Electric Vehicle) Pension with a?leading provider and?up to?8% employer contribution Personal Wellbeing and Volunteer Days Private Medical Insurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to suit from Dental Insurance, Gym Memberships, Give As You Earn, Travel Insurance, Tax Free Bikes. Personal development programme Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: Freedom are part of the NG Bailey Group, one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies Progression is something we value and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be
Health Data Research UK (HDR UK) is the UK's national institute for health data science, accelerating the trustworthy use of data to enable discoveries that improve people's lives. Working in partnership with the NHS, academia, charities, industry and the public, HDR UK is transforming how large-scale health data is accessed, linked and used to advance patient care, biomedical discovery and public health. Embedded within HDR UK, the British Heart Foundation (BHF) Data Science Centre is a nationally recognised centre of excellence for cardiovascular data science. Launched in 2020, the Centre plays a critical role in delivering user-focused data infrastructure and services that enable high-quality, data-driven research to improve the prevention and treatment of cardiovascular disease. The Centre has already demonstrated its impact at scale, including during the COVID-19 pandemic, when it enabled rapid access to linked national datasets to inform clinical and policy responses to the pandemic at pace. We are now seeking an exceptional Executive Director to lead the next phase of the BHF Data Science Centre's development. This is a highly visible, nationally and internationally significant leadership role, offering a rare opportunity to shape a world-leading centre at the forefront of data-enabled cardiovascular research. You will set the strategic direction for the Centre, guiding its evolution into a sustainable, high-impact national asset at the heart of the UK's health data ecosystem. In this role, you will be responsible for delivering an efficient, secure and user-focused data infrastructure and suite of services that enable large-scale, high-quality cardiovascular research. You will lead complex programmes that combine data services, digital infrastructure and operational excellence, while working across organisational and sectoral boundaries to accelerate innovation and deliver public benefit. You will champion collaboration across clinical, academic, technical, industry and public domains, ensuring that the Centre's work is trusted, accessible and impactful. You will bring deep expertise across data service development and delivery, data engineering, health informatics, data infrastructure and AI-driven innovation, alongside a strong understanding of data governance, privacy, security and ethical considerations. As an outstanding collaborator and system leader, you will build and sustain high-value partnerships across the UK and internationally, engaging senior leaders in the NHS, academia, government, charities and industry, as well as patients and the public. Saxton Bampfylde Ltd is acting as an employment agency advisor to the Health Data Research UK on this appointment. For further information about the role, including details about how to apply, please visit using reference ABICD . Alternatively email . Applications should be received by midday on Monday 16 February 2026 .
Jan 21, 2026
Full time
Health Data Research UK (HDR UK) is the UK's national institute for health data science, accelerating the trustworthy use of data to enable discoveries that improve people's lives. Working in partnership with the NHS, academia, charities, industry and the public, HDR UK is transforming how large-scale health data is accessed, linked and used to advance patient care, biomedical discovery and public health. Embedded within HDR UK, the British Heart Foundation (BHF) Data Science Centre is a nationally recognised centre of excellence for cardiovascular data science. Launched in 2020, the Centre plays a critical role in delivering user-focused data infrastructure and services that enable high-quality, data-driven research to improve the prevention and treatment of cardiovascular disease. The Centre has already demonstrated its impact at scale, including during the COVID-19 pandemic, when it enabled rapid access to linked national datasets to inform clinical and policy responses to the pandemic at pace. We are now seeking an exceptional Executive Director to lead the next phase of the BHF Data Science Centre's development. This is a highly visible, nationally and internationally significant leadership role, offering a rare opportunity to shape a world-leading centre at the forefront of data-enabled cardiovascular research. You will set the strategic direction for the Centre, guiding its evolution into a sustainable, high-impact national asset at the heart of the UK's health data ecosystem. In this role, you will be responsible for delivering an efficient, secure and user-focused data infrastructure and suite of services that enable large-scale, high-quality cardiovascular research. You will lead complex programmes that combine data services, digital infrastructure and operational excellence, while working across organisational and sectoral boundaries to accelerate innovation and deliver public benefit. You will champion collaboration across clinical, academic, technical, industry and public domains, ensuring that the Centre's work is trusted, accessible and impactful. You will bring deep expertise across data service development and delivery, data engineering, health informatics, data infrastructure and AI-driven innovation, alongside a strong understanding of data governance, privacy, security and ethical considerations. As an outstanding collaborator and system leader, you will build and sustain high-value partnerships across the UK and internationally, engaging senior leaders in the NHS, academia, government, charities and industry, as well as patients and the public. Saxton Bampfylde Ltd is acting as an employment agency advisor to the Health Data Research UK on this appointment. For further information about the role, including details about how to apply, please visit using reference ABICD . Alternatively email . Applications should be received by midday on Monday 16 February 2026 .
PLEASE MENTION GREENJOBS WHEN RESPONDING TO THIS CAREER OPPORTUNITY Specialist Air Quality Advisor Role ID: 201308 Location: Flexible Grade/Salary range: 6: £42,662 - £46,662 Working pattern: Full time Contract type: Permanent Closing date: 08/02/2026 The role We re looking for a skilled and motivated individual to: Support the development of NRW s approach to regulatory air quality and noise impact modelling assessment, creating practical guidance and tools that support consistent and effective delivery. Provide expert advice and support to NRW teams, applying your technical knowledge and understanding of environmental legislation and regulation. Stay ahead of sector developments, identifying emerging trends and assessing their implications for NRW s regulation in terms of air quality. This is a fantastic opportunity to make a real impact in a role that combines technical expertise, strategic thinking, and collaboration. As an organisation we support flexible working. You will be contracted to the nearest NRW office to your home and a suitable hybrid working pattern will be agreed on appointment. Any regular face to face meetings or training will be planned in advance. Interviews will take place through Microsoft Teams Successful applicants will be subject to a satisfactory Disclosure and Barring Service Check (DBS) check. Appointments are normally made within 4 to 8 weeks of the closing date. This role meets the criteria for sponsorship under the Skilled Worker visa route. Natural Resources Wales welcomes applications from non-UK citizens who are eligible to apply under this route, subject to confirmation by the Home Office. Please note that while we may be able to support the Certificate of Sponsorship required for a visa application, the organisation does not cover the cost of the visa itself, including any associated fees for dependants. The applicant must still meet the UK Skilled Worker Visa Eligibility and Requirement. For further information, please visit: About us This exciting role is based within Natural Resources Wales Air Quality and Noise Team, part of the Integrated Evidence Group in the Knowledge and Evidence department. You ll report directly to the Team Leader, working alongside passionate specialists who are committed to delivering high-quality evidence and expert advice that shapes environmental policy and practice across Wales. What you will do Provide support on the development and provision of modelling advice and guidance on all aspects of an air quality modelling service for Wales. Using a variety of air quality and noise modelling software to model impacts on health and the environment of aerial emissions from new and existing industrial/commercial installations. As a member of the Air Quality and Noise Team act as an expert. This will require knowledge and experience in the principles and application of air dispersion modelling in the risk assessment for regulation. It also requires the ability to analyse and interpret complex data and technical information. Co-ordinate and provide technical advice and guidance to NRW staff ensuring that local decisions are consistent and are in line with agreed government approach. Have the ability to disseminate complex technical information and data to a range of audiences from technically proficient to non-technical. You will require experience of working with industry to analyse and/or improve air quality. Support with the development of tools and procedures to facilitate data analysis and processing enabling interpretation and reporting on environmental data, and turning data into locally relevant evidence. Undertake health and safety duties and responsibilities appropriate to the post. Be committed to Natural Resources Wales Equal Opportunities and Diversity Policy, together with an understanding of how it operates within the responsibilities of the post. Be committed to your own development through the effective use of your personal development plan (known as Sgwrs). Required to take part in incident response activities. Any other reasonable duties requested commensurate with the grade of this role. Your qualifications, experience, knowledge and skills In your application and interview you will be asked to demonstrate the following skills and experience using the STAR method. Have substantial previous experience in all aspects of air quality and noise modelling in regulatory impact assessment. Be an expert in regulatory air quality and noise modelling. Have good analytical skills and modelling results interpretation. Be an excellent communicator, be able to demonstrate effective interpersonal skills and be a strong team worker. Have a degree in a numerate subject or a degree with a significant amount of numerate content is essential. Welsh Language level requirements Essential: Level A1 Entry Level Please note if you do not meet the A1 requirement i.e., ability to understand basic phrases and ability to pronounce Welsh names correctly, then NRW offers a variety of learning options and staff support to help you meet these minimal requirements during the course of your employment with us TO APPLY PLEASE CLICK THE "APPLY NOW" BUTTON AND YOU WILL BE REDIRECTED TO BEGIN THE APPLICATION PROCES
Jan 21, 2026
Full time
PLEASE MENTION GREENJOBS WHEN RESPONDING TO THIS CAREER OPPORTUNITY Specialist Air Quality Advisor Role ID: 201308 Location: Flexible Grade/Salary range: 6: £42,662 - £46,662 Working pattern: Full time Contract type: Permanent Closing date: 08/02/2026 The role We re looking for a skilled and motivated individual to: Support the development of NRW s approach to regulatory air quality and noise impact modelling assessment, creating practical guidance and tools that support consistent and effective delivery. Provide expert advice and support to NRW teams, applying your technical knowledge and understanding of environmental legislation and regulation. Stay ahead of sector developments, identifying emerging trends and assessing their implications for NRW s regulation in terms of air quality. This is a fantastic opportunity to make a real impact in a role that combines technical expertise, strategic thinking, and collaboration. As an organisation we support flexible working. You will be contracted to the nearest NRW office to your home and a suitable hybrid working pattern will be agreed on appointment. Any regular face to face meetings or training will be planned in advance. Interviews will take place through Microsoft Teams Successful applicants will be subject to a satisfactory Disclosure and Barring Service Check (DBS) check. Appointments are normally made within 4 to 8 weeks of the closing date. This role meets the criteria for sponsorship under the Skilled Worker visa route. Natural Resources Wales welcomes applications from non-UK citizens who are eligible to apply under this route, subject to confirmation by the Home Office. Please note that while we may be able to support the Certificate of Sponsorship required for a visa application, the organisation does not cover the cost of the visa itself, including any associated fees for dependants. The applicant must still meet the UK Skilled Worker Visa Eligibility and Requirement. For further information, please visit: About us This exciting role is based within Natural Resources Wales Air Quality and Noise Team, part of the Integrated Evidence Group in the Knowledge and Evidence department. You ll report directly to the Team Leader, working alongside passionate specialists who are committed to delivering high-quality evidence and expert advice that shapes environmental policy and practice across Wales. What you will do Provide support on the development and provision of modelling advice and guidance on all aspects of an air quality modelling service for Wales. Using a variety of air quality and noise modelling software to model impacts on health and the environment of aerial emissions from new and existing industrial/commercial installations. As a member of the Air Quality and Noise Team act as an expert. This will require knowledge and experience in the principles and application of air dispersion modelling in the risk assessment for regulation. It also requires the ability to analyse and interpret complex data and technical information. Co-ordinate and provide technical advice and guidance to NRW staff ensuring that local decisions are consistent and are in line with agreed government approach. Have the ability to disseminate complex technical information and data to a range of audiences from technically proficient to non-technical. You will require experience of working with industry to analyse and/or improve air quality. Support with the development of tools and procedures to facilitate data analysis and processing enabling interpretation and reporting on environmental data, and turning data into locally relevant evidence. Undertake health and safety duties and responsibilities appropriate to the post. Be committed to Natural Resources Wales Equal Opportunities and Diversity Policy, together with an understanding of how it operates within the responsibilities of the post. Be committed to your own development through the effective use of your personal development plan (known as Sgwrs). Required to take part in incident response activities. Any other reasonable duties requested commensurate with the grade of this role. Your qualifications, experience, knowledge and skills In your application and interview you will be asked to demonstrate the following skills and experience using the STAR method. Have substantial previous experience in all aspects of air quality and noise modelling in regulatory impact assessment. Be an expert in regulatory air quality and noise modelling. Have good analytical skills and modelling results interpretation. Be an excellent communicator, be able to demonstrate effective interpersonal skills and be a strong team worker. Have a degree in a numerate subject or a degree with a significant amount of numerate content is essential. Welsh Language level requirements Essential: Level A1 Entry Level Please note if you do not meet the A1 requirement i.e., ability to understand basic phrases and ability to pronounce Welsh names correctly, then NRW offers a variety of learning options and staff support to help you meet these minimal requirements during the course of your employment with us TO APPLY PLEASE CLICK THE "APPLY NOW" BUTTON AND YOU WILL BE REDIRECTED TO BEGIN THE APPLICATION PROCES
Principal Electrical Design Engineer - Protection & Control Scotland Region Permanent - Full Time, hybrid Salary Competitive + Car Allowance + Flexible Benefits Summary: This role involves designing and overseeing the implementation of protection schemes, control systems, and related equipment to ensure the safe and reliable operation of power networks, substations, and Transmissions and Distribution electrical infrastructure. Position requires technical expertise and vast experience working in Transmission and Distribution sector for protection & control and Substation Automation system/SCADA design (from 11kV up to 400kV). Candidate should lead the design and specification of protection and control systems for electrical substations, powerplants, and transmission/distribution networks. Roles & Responsibilities: Candidate is responsible to develop protection settings, relay PSL files, coordination studies, including fault detection and isolation strategies. Candidates should have complete knowledge of all TSO/DNO standards & specifications with respect to P&C Design & Calculations, as well as overall Substation Design Works. He/She should ensure compliance with relevant national and international standards (e.g., IEC, BS, IEEE) in protection system design. Candidate should have good knowledge of substation primary design and substation equipment/switchgear specifications. He/She should ensure that the design meets safety standards and regulatory requirements, incorporating protection against electrical hazards, arc flash, and other safety concerns. Design, implement and maintain SCADA/communication systems for a variety of clients in sectors including utilities, oil and gas, manufacturing, industrial automation and various other communication networks. Configure and optimize network infrastructure & communication protocols such as IEC 61850; Distributed Network Protocol (DNP 3); Parallel Redundancy Protocol (PRP); Precision Time Protocol (PTP); Network Time Protocol (NTP); Simplified Network Time Protocol (NTP), Modbus, OPC, Profibus, etc for seamless integration with field devices, including RTUs, PLCs, IEDs, etc, also ensure stable connectivity between SCADA centres & remote sites, and configure secure VPNs & remote access protocols to allow for safe, off-site monitoring and control. Understand client requirements & produce network architecture philosophy diagram, IED telecommunication diagram, SCADA & Telecommunications Panel design, Network IP allocation, I/O Schedules, Cable & Core schedules, etc. Assist with the setup and commissioning of SCADA systems at client sites, troubleshoot field devices and network communication issues, perform preventive and corrective maintenance on SCADA infrastructure and associated hardware. Efficiently design/develop the SCADA/communication systems (e.g., Ignition, Siemens WinCC, GE iFIX, etc) to ensure real-time data acquisition and control for critical infrastructure. Provide remote support for troubleshooting SCADA system and network issues, ensuring minimal downtime and swift resolution of critical incidents. Conduct system upgrades, testing, and validation for new features, components, and patches. Implement cybersecurity measures to safeguard SCADA systems against emerging threats. Collaborate with cross-functional teams to ensure smooth integration and deployment of SCADA systems. Candidate should have experience in tendering, pricing jobs, proposal creation. Candidate should be actively participating in work winning process. Candidate should be capable of technically assessing engineering problems and critically evaluating a range of technical solutions. Unwavering confidence in technically assessing engineering problems and critically evaluating a range of technical solutions will be instrumental in pursuit of engineering excellence. Exemplary communication skills to demonstrate diligence, prioritize tasks effectively, and ensure a thorough understanding of relevant legislation, including CDM and ESQCR. This knowledge will be pivotal in managing Transmission and Distribution network. Collaborate closely with other designers, construction professionals, and engineering teams. Liaise effectively with the Power Systems, Primary and Civil design departments to ensure that all objectives are met and that the best possible design is submitted. Review and provide constructive feedback on the reports and drawings done by Junior & Senior Engineers. Provide technical leadership and mentoring to junior engineers in the design, analysis, and commissioning of protection systems. What we're looking for : Experience: Extensive experience in electrical protection and control system design, Substation Automation and SCADA system typically 12-15 years, with a proven track record of delivering complex projects within the power sector. Technical and Professional knowledge and experience associated with the role. Candidate should have vast experience in crafting Single Line Diagrams, AC & DC Schematic Drawings, Panel General Arrangements, Panel Wiring Diagrams, Switchgear Termination/interconnection drawings, Block Cable Diagrams/Schedules, and performing cable specification/sizing calculations, battery sizing calculations, CT/VT sizing, multicore sizing, Relays CORTEC/specifications. Candidate should have experience in testing & commissioning of P&C, SCADA/Communication/SAS panels. Should be able to Identify potential risks and failures within protection and SCADA systems and propose mitigation strategies. Candidate should have good knowledge & experience working with AutoCAD. Qualifications: Education: Bachelor's degree in electrical engineering (typically 2:1 or above) in Electrical Engineering, Power Systems, or a related field. A master's degree may be preferred for senior roles.Chartered Status (Preferred): Chartered Engineer (CEng) status with a professional body such as the Institution of Engineering and Technology (IET) or the Institution of Electrical Engineers (IEE) is highly desirable.Certifications (Optional): Professional certifications such as NEBOSH for health and safety, or specific training in protection and control system design, may be beneficial.Candidate should have experience working in Substation Automation Syste
Jan 21, 2026
Full time
Principal Electrical Design Engineer - Protection & Control Scotland Region Permanent - Full Time, hybrid Salary Competitive + Car Allowance + Flexible Benefits Summary: This role involves designing and overseeing the implementation of protection schemes, control systems, and related equipment to ensure the safe and reliable operation of power networks, substations, and Transmissions and Distribution electrical infrastructure. Position requires technical expertise and vast experience working in Transmission and Distribution sector for protection & control and Substation Automation system/SCADA design (from 11kV up to 400kV). Candidate should lead the design and specification of protection and control systems for electrical substations, powerplants, and transmission/distribution networks. Roles & Responsibilities: Candidate is responsible to develop protection settings, relay PSL files, coordination studies, including fault detection and isolation strategies. Candidates should have complete knowledge of all TSO/DNO standards & specifications with respect to P&C Design & Calculations, as well as overall Substation Design Works. He/She should ensure compliance with relevant national and international standards (e.g., IEC, BS, IEEE) in protection system design. Candidate should have good knowledge of substation primary design and substation equipment/switchgear specifications. He/She should ensure that the design meets safety standards and regulatory requirements, incorporating protection against electrical hazards, arc flash, and other safety concerns. Design, implement and maintain SCADA/communication systems for a variety of clients in sectors including utilities, oil and gas, manufacturing, industrial automation and various other communication networks. Configure and optimize network infrastructure & communication protocols such as IEC 61850; Distributed Network Protocol (DNP 3); Parallel Redundancy Protocol (PRP); Precision Time Protocol (PTP); Network Time Protocol (NTP); Simplified Network Time Protocol (NTP), Modbus, OPC, Profibus, etc for seamless integration with field devices, including RTUs, PLCs, IEDs, etc, also ensure stable connectivity between SCADA centres & remote sites, and configure secure VPNs & remote access protocols to allow for safe, off-site monitoring and control. Understand client requirements & produce network architecture philosophy diagram, IED telecommunication diagram, SCADA & Telecommunications Panel design, Network IP allocation, I/O Schedules, Cable & Core schedules, etc. Assist with the setup and commissioning of SCADA systems at client sites, troubleshoot field devices and network communication issues, perform preventive and corrective maintenance on SCADA infrastructure and associated hardware. Efficiently design/develop the SCADA/communication systems (e.g., Ignition, Siemens WinCC, GE iFIX, etc) to ensure real-time data acquisition and control for critical infrastructure. Provide remote support for troubleshooting SCADA system and network issues, ensuring minimal downtime and swift resolution of critical incidents. Conduct system upgrades, testing, and validation for new features, components, and patches. Implement cybersecurity measures to safeguard SCADA systems against emerging threats. Collaborate with cross-functional teams to ensure smooth integration and deployment of SCADA systems. Candidate should have experience in tendering, pricing jobs, proposal creation. Candidate should be actively participating in work winning process. Candidate should be capable of technically assessing engineering problems and critically evaluating a range of technical solutions. Unwavering confidence in technically assessing engineering problems and critically evaluating a range of technical solutions will be instrumental in pursuit of engineering excellence. Exemplary communication skills to demonstrate diligence, prioritize tasks effectively, and ensure a thorough understanding of relevant legislation, including CDM and ESQCR. This knowledge will be pivotal in managing Transmission and Distribution network. Collaborate closely with other designers, construction professionals, and engineering teams. Liaise effectively with the Power Systems, Primary and Civil design departments to ensure that all objectives are met and that the best possible design is submitted. Review and provide constructive feedback on the reports and drawings done by Junior & Senior Engineers. Provide technical leadership and mentoring to junior engineers in the design, analysis, and commissioning of protection systems. What we're looking for : Experience: Extensive experience in electrical protection and control system design, Substation Automation and SCADA system typically 12-15 years, with a proven track record of delivering complex projects within the power sector. Technical and Professional knowledge and experience associated with the role. Candidate should have vast experience in crafting Single Line Diagrams, AC & DC Schematic Drawings, Panel General Arrangements, Panel Wiring Diagrams, Switchgear Termination/interconnection drawings, Block Cable Diagrams/Schedules, and performing cable specification/sizing calculations, battery sizing calculations, CT/VT sizing, multicore sizing, Relays CORTEC/specifications. Candidate should have experience in testing & commissioning of P&C, SCADA/Communication/SAS panels. Should be able to Identify potential risks and failures within protection and SCADA systems and propose mitigation strategies. Candidate should have good knowledge & experience working with AutoCAD. Qualifications: Education: Bachelor's degree in electrical engineering (typically 2:1 or above) in Electrical Engineering, Power Systems, or a related field. A master's degree may be preferred for senior roles.Chartered Status (Preferred): Chartered Engineer (CEng) status with a professional body such as the Institution of Engineering and Technology (IET) or the Institution of Electrical Engineers (IEE) is highly desirable.Certifications (Optional): Professional certifications such as NEBOSH for health and safety, or specific training in protection and control system design, may be beneficial.Candidate should have experience working in Substation Automation Syste
A leading retail organization in the UK seeks a Head of Software Engineering to oversee the Personalisation team. This role involves shaping technology strategy, driving engineering excellence, and collaborating with product, data science, and delivery teams. The ideal candidate has extensive experience as a senior software engineer and proven leadership in building high-performing teams. The position offers a chance to work with cutting-edge technologies and impact millions of customers. Competitive benefits include discounts, a strong pension, and wellbeing support.
Jan 21, 2026
Full time
A leading retail organization in the UK seeks a Head of Software Engineering to oversee the Personalisation team. This role involves shaping technology strategy, driving engineering excellence, and collaborating with product, data science, and delivery teams. The ideal candidate has extensive experience as a senior software engineer and proven leadership in building high-performing teams. The position offers a chance to work with cutting-edge technologies and impact millions of customers. Competitive benefits include discounts, a strong pension, and wellbeing support.
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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
