We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
May 04, 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 Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
Compliance Administrator Based in Leatherhead Permanent Office based 26,227.50 The Customer Service Coordinator is responsible for providing administrative support and clerical services in order to ensure effective and efficient administrative operations. Providing residents with information and support at all stages of service and maintenance works. Role Specification Allocate and monitor resources and ensure PDA usage Ensure achievement of client specific targets Provide an effective interface with customers Provide residents with information and support at all stages of service, repairs or install works. Maintain a central filing system as directed by the Customer Service Manager Liaise with clients and residents Collate all necessary paperwork and issue copies as appropriate Manage contract specific KPI demands Update client specific IT systems if required Maintain administration processes and procedures Liaise daily with Field Operation Technicians and Field Operation Managers, where required, to ensure individual needs and requests are dealt with. Ensure all company procedures, policies and codes of conduct are complied with Any other duties as may reasonably be requested by the Customer Service Manager or Head of Group Administration.
May 04, 2026
Full time
Compliance Administrator Based in Leatherhead Permanent Office based 26,227.50 The Customer Service Coordinator is responsible for providing administrative support and clerical services in order to ensure effective and efficient administrative operations. Providing residents with information and support at all stages of service and maintenance works. Role Specification Allocate and monitor resources and ensure PDA usage Ensure achievement of client specific targets Provide an effective interface with customers Provide residents with information and support at all stages of service, repairs or install works. Maintain a central filing system as directed by the Customer Service Manager Liaise with clients and residents Collate all necessary paperwork and issue copies as appropriate Manage contract specific KPI demands Update client specific IT systems if required Maintain administration processes and procedures Liaise daily with Field Operation Technicians and Field Operation Managers, where required, to ensure individual needs and requests are dealt with. Ensure all company procedures, policies and codes of conduct are complied with Any other duties as may reasonably be requested by the Customer Service Manager or Head of Group Administration.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
May 04, 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 Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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 Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
May 04, 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 Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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 Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
May 04, 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 Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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 Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
May 04, 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 Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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 Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
May 04, 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 Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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 Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
May 04, 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 Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : 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.
JMB21 - Overhead Crane Service Engineer (Electrical Bias) Location: Sussex / East Hampshire / East Kent (Ideal base location) Salary: Up to £45,000 + OTE £65,000+ Hours: Monday - Friday, 08:00 - 16:30 Benefits: New company van, paid travel time, enhanced overtime rates, strong progression, long-term career path Overview: We are seeking an experienced Overhead Crane Service Engineer (Electrically Biased) to join a specialist engineering team working across industrial sites in the South East.This is a field-based role focused on maintenance, fault finding, repair, and installation of overhead and gantry cranes, with a strong emphasis on electrical systems and industrial controls. Ex-military personnel are strongly encouraged to apply.This is a genuine career opportunity with strong earning potential and clear progression into senior engineering roles. What You'll Be Doing: Service and maintain overhead and gantry cranes Electrical & mechanical fault finding on 3-phase systems Repair motors, controls, brakes, and safety systems Work on pendant and radio control systems Install and commission crane equipment and upgrades Carry out LOLER inspections and safety checks Respond to breakdowns across industrial sites Complete accurate service reports Overtime & Pay Structure Paid travel time (home to site and return) at single time Overtime before 08:00 & after 16:30: 1.5x Hourly Saturday: 1.5x Hourly Sunday: 2x Hourly What We're Looking For: Experienced crane, lifting equipment, or industrial electrical engineer Strong fault-finding ability (3-phase / control systems) Mechanical understanding of industrial equipment Confident working independently in the field Full UK driving licence Strong discipline, reliability, and attention to detail Ex-military personnel strongly encouraged to apply Desirable Qualifications & Experience NVQ / City & Guilds in Electrical or Mechanical Engineering Knowledge of LOLER / PUWER regulations Experience with PLC systems and fault diagnosis LEEA or equivalent lifting equipment certification What's on Offer 1-year-old van OTE up to £65,000+ Strong overtime structure Clear progression into senior and specialist roles Long-term stability in a specialist engineering sector If you're an experienced engineer looking for a high-responsibility role with strong pay, independence, and progression, this is a serious long-term opportunity.
May 04, 2026
Full time
JMB21 - Overhead Crane Service Engineer (Electrical Bias) Location: Sussex / East Hampshire / East Kent (Ideal base location) Salary: Up to £45,000 + OTE £65,000+ Hours: Monday - Friday, 08:00 - 16:30 Benefits: New company van, paid travel time, enhanced overtime rates, strong progression, long-term career path Overview: We are seeking an experienced Overhead Crane Service Engineer (Electrically Biased) to join a specialist engineering team working across industrial sites in the South East.This is a field-based role focused on maintenance, fault finding, repair, and installation of overhead and gantry cranes, with a strong emphasis on electrical systems and industrial controls. Ex-military personnel are strongly encouraged to apply.This is a genuine career opportunity with strong earning potential and clear progression into senior engineering roles. What You'll Be Doing: Service and maintain overhead and gantry cranes Electrical & mechanical fault finding on 3-phase systems Repair motors, controls, brakes, and safety systems Work on pendant and radio control systems Install and commission crane equipment and upgrades Carry out LOLER inspections and safety checks Respond to breakdowns across industrial sites Complete accurate service reports Overtime & Pay Structure Paid travel time (home to site and return) at single time Overtime before 08:00 & after 16:30: 1.5x Hourly Saturday: 1.5x Hourly Sunday: 2x Hourly What We're Looking For: Experienced crane, lifting equipment, or industrial electrical engineer Strong fault-finding ability (3-phase / control systems) Mechanical understanding of industrial equipment Confident working independently in the field Full UK driving licence Strong discipline, reliability, and attention to detail Ex-military personnel strongly encouraged to apply Desirable Qualifications & Experience NVQ / City & Guilds in Electrical or Mechanical Engineering Knowledge of LOLER / PUWER regulations Experience with PLC systems and fault diagnosis LEEA or equivalent lifting equipment certification What's on Offer 1-year-old van OTE up to £65,000+ Strong overtime structure Clear progression into senior and specialist roles Long-term stability in a specialist engineering sector If you're an experienced engineer looking for a high-responsibility role with strong pay, independence, and progression, this is a serious long-term opportunity.
The role of Training Administrator involves providing essential administrative support to the training team within the leisure, travel & tourism industry. Based in Birmingham, this temporary position requires strong organisational skills to ensure smooth coordination of training activities. Client Details This role is with a well-established medium-sized organisation operating in the leisure, travel & tourism industry. The company is committed to delivering exceptional experiences and values efficient operational support to achieve its goals. They are now looking for a Training Administrator to join their team in Tyseley, Birmingham on a temporary basis. Description Support the delivery of the Fleet Digital Scanning project on a temporary basis. Maintain and update the staff training skills matrix to ensure all training records are accurate and current. Digitise staff training certificates and qualifications currently held in paper format. Upload, organise, and manage training documentation within SharePoint to ensure centralised access and visibility. Monitor training expiry dates and proactively identify training due within the next 30, 60, and 90 days. Book and coordinate expiring and upcoming training courses in line with compliance requirements. Liaise with depot staff, training providers, and internal stakeholders to gather and confirm training information. Ensure training records support ongoing compliance, competency, and audit requirements. Provide regular updates to project stakeholders on progress, risks, and outstanding actions. Carry out general administrative tasks to support fleet training and project activity at Tyseley depot. Profile A successful Training Administrator should have: Previous experience in an administrative or training administration role. Strong data accuracy and attention to detail, particularly when managing records and compliance information. Experience using SharePoint or similar document management systems. Confident user of Microsoft Office applications, especially Excel for tracking and reporting. Ability to plan ahead and manage multiple deadlines, including proactive scheduling of training. Good communication skills and the confidence to liaise with staff and stakeholders at all levels. Job Offer Annual salary of 25000 - 28000 per annum. Free parking available on site. Opportunity to work within the leisure, travel & tourism industry in Birmingham. A chance to contribute to a well-established organisation with a commitment to growth and excellence. Temporary position offering flexibility and valuable experience. If you are a dedicated and detail-oriented individual with a passion for organisation, we encourage you to apply for the Training Administrator role today!
May 04, 2026
Seasonal
The role of Training Administrator involves providing essential administrative support to the training team within the leisure, travel & tourism industry. Based in Birmingham, this temporary position requires strong organisational skills to ensure smooth coordination of training activities. Client Details This role is with a well-established medium-sized organisation operating in the leisure, travel & tourism industry. The company is committed to delivering exceptional experiences and values efficient operational support to achieve its goals. They are now looking for a Training Administrator to join their team in Tyseley, Birmingham on a temporary basis. Description Support the delivery of the Fleet Digital Scanning project on a temporary basis. Maintain and update the staff training skills matrix to ensure all training records are accurate and current. Digitise staff training certificates and qualifications currently held in paper format. Upload, organise, and manage training documentation within SharePoint to ensure centralised access and visibility. Monitor training expiry dates and proactively identify training due within the next 30, 60, and 90 days. Book and coordinate expiring and upcoming training courses in line with compliance requirements. Liaise with depot staff, training providers, and internal stakeholders to gather and confirm training information. Ensure training records support ongoing compliance, competency, and audit requirements. Provide regular updates to project stakeholders on progress, risks, and outstanding actions. Carry out general administrative tasks to support fleet training and project activity at Tyseley depot. Profile A successful Training Administrator should have: Previous experience in an administrative or training administration role. Strong data accuracy and attention to detail, particularly when managing records and compliance information. Experience using SharePoint or similar document management systems. Confident user of Microsoft Office applications, especially Excel for tracking and reporting. Ability to plan ahead and manage multiple deadlines, including proactive scheduling of training. Good communication skills and the confidence to liaise with staff and stakeholders at all levels. Job Offer Annual salary of 25000 - 28000 per annum. Free parking available on site. Opportunity to work within the leisure, travel & tourism industry in Birmingham. A chance to contribute to a well-established organisation with a commitment to growth and excellence. Temporary position offering flexibility and valuable experience. If you are a dedicated and detail-oriented individual with a passion for organisation, we encourage you to apply for the Training Administrator role today!
Multiskilled Engineer (Nights) - Temporary (Up to 16 Months) Monday-Thursday, 10:00pm-8:00am Salary: £48,900 Ready to join a forward-thinking manufacturing business that's growing rapidly and investing heavily in its future? At Hydrokem, we're looking for a Multiskilled Engineer to join our night shift team on a temporary basis (up to 16 months). This is a great opportunity to play a key role in maintaining and improving a busy production environment-while enjoying a long weekend every week. The Role This is a hands-on mechanical maintenance position within a fast-paced manufacturing environment, supporting production through proactive and reactive maintenance. While the role includes electrical fault finding, the primary focus is on mechanical reliability, maintenance, and continuous improvement of production equipment. What You'll Be Doing Carrying out mechanical maintenance and repairs on production machinery (conveyors, pumps, bearings, chains, belts, rotary machinery) Diagnosing and resolving mechanical faults and failures Performing planned preventative maintenance (PPM) to improve equipment reliability Working on pneumatics (valves, cylinders, airlines) Conducting equipment strip-downs, rebuilds, and overhauls Supporting Electrical Responsibilities Basic electrical fault finding (motors, sensors, drives) Assisting with electrical maintenance when required Working safely with control systems and panels What We're Looking For Time-served or Level 3 qualified (Mechanical or Electrical with strong mechanical experience) Proven experience in mechanical maintenance within manufacturing Confident in fault finding, strip-downs, and rebuilds Ability to work independently on nights Electrical knowledge is beneficial, but not essential What's in It for You? 25 days holiday (pro rata) + Christmas shutdown Holiday purchase scheme Company bonus scheme Pension Sick pay (after qualifying period) Simplyhealth cash plan Accident insurance & life assurance Bike2Work scheme Free weekly fruit Free onsite parking £1,000 employee referral bonus Working Pattern Night shifts: Monday to Thursday, 10:00pm - 8:00am Enjoy a three-day weekend every week Apply Now If you're a skilled engineer looking for your next challenge in a supportive, forward-thinking environment, we'd love to hear from you. APPLY NOW for immediate consideration.
May 04, 2026
Contractor
Multiskilled Engineer (Nights) - Temporary (Up to 16 Months) Monday-Thursday, 10:00pm-8:00am Salary: £48,900 Ready to join a forward-thinking manufacturing business that's growing rapidly and investing heavily in its future? At Hydrokem, we're looking for a Multiskilled Engineer to join our night shift team on a temporary basis (up to 16 months). This is a great opportunity to play a key role in maintaining and improving a busy production environment-while enjoying a long weekend every week. The Role This is a hands-on mechanical maintenance position within a fast-paced manufacturing environment, supporting production through proactive and reactive maintenance. While the role includes electrical fault finding, the primary focus is on mechanical reliability, maintenance, and continuous improvement of production equipment. What You'll Be Doing Carrying out mechanical maintenance and repairs on production machinery (conveyors, pumps, bearings, chains, belts, rotary machinery) Diagnosing and resolving mechanical faults and failures Performing planned preventative maintenance (PPM) to improve equipment reliability Working on pneumatics (valves, cylinders, airlines) Conducting equipment strip-downs, rebuilds, and overhauls Supporting Electrical Responsibilities Basic electrical fault finding (motors, sensors, drives) Assisting with electrical maintenance when required Working safely with control systems and panels What We're Looking For Time-served or Level 3 qualified (Mechanical or Electrical with strong mechanical experience) Proven experience in mechanical maintenance within manufacturing Confident in fault finding, strip-downs, and rebuilds Ability to work independently on nights Electrical knowledge is beneficial, but not essential What's in It for You? 25 days holiday (pro rata) + Christmas shutdown Holiday purchase scheme Company bonus scheme Pension Sick pay (after qualifying period) Simplyhealth cash plan Accident insurance & life assurance Bike2Work scheme Free weekly fruit Free onsite parking £1,000 employee referral bonus Working Pattern Night shifts: Monday to Thursday, 10:00pm - 8:00am Enjoy a three-day weekend every week Apply Now If you're a skilled engineer looking for your next challenge in a supportive, forward-thinking environment, we'd love to hear from you. APPLY NOW for immediate consideration.
PIP Disability Disability Assessor Nurse / Occupational Therapist / Physiotherapist / Paramedic Location: Gateshead - hybrid working Salary: £39,000 £40,500 + bonus Hours: Monday to Friday, 9am to 5pm No evenings, weekends or bank holidays This is a hybrid clinical role for registered healthcare professionals looking to move away from hands-on care while still using their clinical knowledge. You will carry out PIP assessments to understand how health conditions affect day-to-day living and produce clear, evidence-based reports. What you will do Conduct face-to-face and telephone assessments Review medical evidence and clinical information Produce detailed, accurate reports Work within clear clinical guidelines and quality standards Full training is provided. No previous assessor experience is required. What s on offer £39,000 starting salary with progression and bonus potential 12-month £1500 uplift in salary Hybrid working Structured hours with no evenings or weekends 25 days annual leave plus bank holidays and your birthday off Professional registration fees reimbursed Ongoing training and clinical support Career progression and development opportunities Referral bonus available Requirements Registered Nurse, Occupational Therapist, Physiotherapist or Paramedic Active NMC or HCPC registration with no restrictions Minimum 1 year UK clinical experience Good communication and report writing skills Confident using IT systems Right to work in the UK No sponsorship available This role suits clinicians who prefer structured work, report writing, and a more predictable working pattern. Apply Send your CV to (url removed) or call Jay on (phone number removed)
May 04, 2026
Full time
PIP Disability Disability Assessor Nurse / Occupational Therapist / Physiotherapist / Paramedic Location: Gateshead - hybrid working Salary: £39,000 £40,500 + bonus Hours: Monday to Friday, 9am to 5pm No evenings, weekends or bank holidays This is a hybrid clinical role for registered healthcare professionals looking to move away from hands-on care while still using their clinical knowledge. You will carry out PIP assessments to understand how health conditions affect day-to-day living and produce clear, evidence-based reports. What you will do Conduct face-to-face and telephone assessments Review medical evidence and clinical information Produce detailed, accurate reports Work within clear clinical guidelines and quality standards Full training is provided. No previous assessor experience is required. What s on offer £39,000 starting salary with progression and bonus potential 12-month £1500 uplift in salary Hybrid working Structured hours with no evenings or weekends 25 days annual leave plus bank holidays and your birthday off Professional registration fees reimbursed Ongoing training and clinical support Career progression and development opportunities Referral bonus available Requirements Registered Nurse, Occupational Therapist, Physiotherapist or Paramedic Active NMC or HCPC registration with no restrictions Minimum 1 year UK clinical experience Good communication and report writing skills Confident using IT systems Right to work in the UK No sponsorship available This role suits clinicians who prefer structured work, report writing, and a more predictable working pattern. Apply Send your CV to (url removed) or call Jay on (phone number removed)
Rise Executive Search And Recruitment Ltd
Gateshead, Tyne And Wear
Internal Technical Sales Engineer Industrial Electrical Control & Automation Negotiable Salary Package, Pension, and other benefits. Our Client has a requirement for an Internal Sales Engineer with experience in Electrical control and automation to provide sales and technical support to the external customer base, whilst developing and maintaining customer relationships and promoting products and services to maximise sales opportunities. You are most likely to be living in North of the Tyne area, including, North Shields, Whitley Bay, Wallsend, Longbenton, Jesmond, Cramlington, Blyth in order to commute. Ideally you will have knowledge of a wide range of electrical market related products and are likely to have strengths in more than one product area. This could be industrial electrical, control & automation/factory automation/process control including control gear, switchgear, automation equipment, variable speed drives, plc, hmi, instrumentation, cable management systems, connection systems, industrial data comms enclosures, sensors, and possibly ATEX equipment. As the Internal Sales Engineer you will respond to and handle all product technical enquiries. You will be required, with training, to understand and be familiar with the full product range with the ability to offer alternatives if required and advise on the selection of products where possible. You will liaise with Field Sales Engineers and other staff to achieve the branch objectives and sales performance and as is normal in a small team environment engage in other duties. It is also expected that you have commercial ability and awareness to generate quotation for customers and are competent to judge the competitive situation needed to win the order whilst being mindful of profitability. In order to perform this role successfully you will need technical electrical knowledge, there is flexibility on the qualification if you can illustrate your knowledge, product applications knowledge and commercial awareness. The ideal candidate may already be in a similar role as an internal sales engineer, technical support engineer, an electrical engineer looking to move into a commercial environment with the ability to illustrate good customer and administrative skills, or a graduate engineer with customer experience in a sales environment looking to develop their career in technical sales. Knowledge and Experience GCSE Maths and English (or equivalent) None mandatory but relevant knowledge and experience must be demonstrated or possibly ONC/HNC in Electrical engineering (or other electrical engineering qualification) Good working knowledge of Microsoft Office and data entry systems Full clean driving licence Experience in similar sales /customer service environment. Experience with an electrical engineering role, or a background in electrical distribution would be an advantage. Post codes used are for advertising purposes only. To register your interest contact us with an up to date CV and we will be pleased to call you for a confidential discussion. To view more of our positions click on the Rise logo at the top of this page or visit our website directly. We work across a range of business to business/B2B market sectors including Renewable Energy, Electrical, Control & Automation, Electronic, Renewable Energy, Pneumatics, Hydraulics, Fluid Power, Instrumentation, Engineering services companies, Industrial Consumables, Industrial Components, Capital Equipment, Material Handling, Scientific Equipment, Petrochemical and Utilities. Rise Executive Search & Recruitment Ltd are currently working on a wide range of business to business/B2B sales positions, account management, business development and sales management roles including: Internal Sales Engineer, Technical Support, Product Specialist, Sales Manager, UK Sales Manager, National Sales Manager, Country Manager, Regional Sales Manager, Area Sales Manager, Sales Executive, Senior Sales Executive, National Account Manager, Business Development Manager, Key Account Manager, Account Executive, National Account Executive, Sales Specialist, Global Account Manager, Sales Representative, Territory Sales, Field Sales, Client Relationship Manager, Sales Engineer, Sales Consultant, Technical Sales, Senior Sales Engineer, Export Sales, International Sales, European Sales, Branch Manager, Sales Director, Trainee Sales, Graduate Sales, Telesales, Internal Sales, Office Sales.
May 04, 2026
Full time
Internal Technical Sales Engineer Industrial Electrical Control & Automation Negotiable Salary Package, Pension, and other benefits. Our Client has a requirement for an Internal Sales Engineer with experience in Electrical control and automation to provide sales and technical support to the external customer base, whilst developing and maintaining customer relationships and promoting products and services to maximise sales opportunities. You are most likely to be living in North of the Tyne area, including, North Shields, Whitley Bay, Wallsend, Longbenton, Jesmond, Cramlington, Blyth in order to commute. Ideally you will have knowledge of a wide range of electrical market related products and are likely to have strengths in more than one product area. This could be industrial electrical, control & automation/factory automation/process control including control gear, switchgear, automation equipment, variable speed drives, plc, hmi, instrumentation, cable management systems, connection systems, industrial data comms enclosures, sensors, and possibly ATEX equipment. As the Internal Sales Engineer you will respond to and handle all product technical enquiries. You will be required, with training, to understand and be familiar with the full product range with the ability to offer alternatives if required and advise on the selection of products where possible. You will liaise with Field Sales Engineers and other staff to achieve the branch objectives and sales performance and as is normal in a small team environment engage in other duties. It is also expected that you have commercial ability and awareness to generate quotation for customers and are competent to judge the competitive situation needed to win the order whilst being mindful of profitability. In order to perform this role successfully you will need technical electrical knowledge, there is flexibility on the qualification if you can illustrate your knowledge, product applications knowledge and commercial awareness. The ideal candidate may already be in a similar role as an internal sales engineer, technical support engineer, an electrical engineer looking to move into a commercial environment with the ability to illustrate good customer and administrative skills, or a graduate engineer with customer experience in a sales environment looking to develop their career in technical sales. Knowledge and Experience GCSE Maths and English (or equivalent) None mandatory but relevant knowledge and experience must be demonstrated or possibly ONC/HNC in Electrical engineering (or other electrical engineering qualification) Good working knowledge of Microsoft Office and data entry systems Full clean driving licence Experience in similar sales /customer service environment. Experience with an electrical engineering role, or a background in electrical distribution would be an advantage. Post codes used are for advertising purposes only. To register your interest contact us with an up to date CV and we will be pleased to call you for a confidential discussion. To view more of our positions click on the Rise logo at the top of this page or visit our website directly. We work across a range of business to business/B2B market sectors including Renewable Energy, Electrical, Control & Automation, Electronic, Renewable Energy, Pneumatics, Hydraulics, Fluid Power, Instrumentation, Engineering services companies, Industrial Consumables, Industrial Components, Capital Equipment, Material Handling, Scientific Equipment, Petrochemical and Utilities. Rise Executive Search & Recruitment Ltd are currently working on a wide range of business to business/B2B sales positions, account management, business development and sales management roles including: Internal Sales Engineer, Technical Support, Product Specialist, Sales Manager, UK Sales Manager, National Sales Manager, Country Manager, Regional Sales Manager, Area Sales Manager, Sales Executive, Senior Sales Executive, National Account Manager, Business Development Manager, Key Account Manager, Account Executive, National Account Executive, Sales Specialist, Global Account Manager, Sales Representative, Territory Sales, Field Sales, Client Relationship Manager, Sales Engineer, Sales Consultant, Technical Sales, Senior Sales Engineer, Export Sales, International Sales, European Sales, Branch Manager, Sales Director, Trainee Sales, Graduate Sales, Telesales, Internal Sales, Office Sales.
Location: Welwyn, Hertfordshire Salary: £13.50 per hour Job Type: Temp to Perm Hours: hours a week Job Code: MJ2251 Temp to Perm - Part-Time Administrator (20-30 Hours) An exciting opportunity has arisen to work for one of our clients who need an Administrator to join their team. We are looking for an enthusiastic individual with a can-do attitude, who can easily adjust to different tasks. Key Responsibilities: To maintain and update head office monitoring systems as directed. To undertake tasks and provide administrative support for senior management. To support the company s compliance with Health & Safety requirements, monitoring systems and record keeping. To support the Operations Manager by maintaining operations and monitoring systems. To support the sales and marketing function with admin support. Be a key contributor and communicator within the business. The successful candidate will have: Excellent planning and organisational skills A can do attitude with a positive, patient, and assertive nature. Competent in Word, Outlook and Excel Ability to work under pressure and use own initiative. Attention to detail and good telephone manner required. Benefits: 28 Days Holiday Inc. Bank Holidays Company Pension No weekends Despite our best efforts it is not always possible to respond to every application individually due to the high volume of responses we receive on each vacancy. Only candidates who are short listed will be contacted for this particular role and if you have not heard from us within 7 days please assume that you have not been successful. However, we will keep your details on our database, and will contact you when other suitable positions become available.
May 04, 2026
Full time
Location: Welwyn, Hertfordshire Salary: £13.50 per hour Job Type: Temp to Perm Hours: hours a week Job Code: MJ2251 Temp to Perm - Part-Time Administrator (20-30 Hours) An exciting opportunity has arisen to work for one of our clients who need an Administrator to join their team. We are looking for an enthusiastic individual with a can-do attitude, who can easily adjust to different tasks. Key Responsibilities: To maintain and update head office monitoring systems as directed. To undertake tasks and provide administrative support for senior management. To support the company s compliance with Health & Safety requirements, monitoring systems and record keeping. To support the Operations Manager by maintaining operations and monitoring systems. To support the sales and marketing function with admin support. Be a key contributor and communicator within the business. The successful candidate will have: Excellent planning and organisational skills A can do attitude with a positive, patient, and assertive nature. Competent in Word, Outlook and Excel Ability to work under pressure and use own initiative. Attention to detail and good telephone manner required. Benefits: 28 Days Holiday Inc. Bank Holidays Company Pension No weekends Despite our best efforts it is not always possible to respond to every application individually due to the high volume of responses we receive on each vacancy. Only candidates who are short listed will be contacted for this particular role and if you have not heard from us within 7 days please assume that you have not been successful. However, we will keep your details on our database, and will contact you when other suitable positions become available.
Head of Engineering Planning & Governance Hybrid, multi-site (UK-wide) £57,000 - £73,000 + car allowance About the Role: CPI is seeking a Head of Engineering Planning & Governance to provide strong, independent oversight of engineering standards, safety, and compliance across their multi-site estate.This is a highly influential role at the intersection of projects, maintenance, and specialist engineering , ensuring that good engineering practice is consistently applied - from early concept and specification through to project delivery, handover, and long-term asset performance.Reporting to the Operations Support Director, you will act as the organisation's engineering conscience : setting standards, auditing compliance, challenging plans where needed, and supporting teams to deliver safely, compliantly, and efficiently in complex, regulated environments.Hybrid working is supported, with flexibility over base location (including home if preferred). The role requires regular travel to all CPI sites on an as-needed basis, and ad-hoc travel to non-CPI sites, both of which may include overnight stays as necessary. What You'll Be Responsible For: Engineering Governance & Assurance Own and continually develop CPI's engineering governance framework across all engineering disciplines Ensure compliance with statutory, ISO, regulatory, and internal engineering standards Provide an independent audit and assurance function across projects and operational engineering Maintain high-quality engineering documentation including Standard Operating Procedures, drawings, specifications, User Requirement Specifications, and handover packs Ensure engineering activities meet expectations for safety, quality, environmental protection, and data integrity Projects & Strategic Oversight: Provide governance oversight for major capital and engineering projects, including turnkey and self-managed delivery models Operate at SteerCo and senior stakeholder level on complex programmes Shape early-stage project strategy - including delivery approach, specification, and readiness of maintenance and spares Oversee effective handover from projects into operations and maintenance Cross-Disciplinary Leadership: Lead and coordinate a diverse team of specialist engineers covering: Mechanical, Electrical, Control & Instrumentation Reliability Engineering Asset assurance and pressure systems Act as a trusted technical authority across engineering, projects, maintenance, and operations Confidently challenge decisions and, where required, stop or reset activities that don't meet engineering or safety standards Safety, Risk & Regulation: Ensure statutory compliance across CPI's asset base, including high-hazard and process environments Lead engineering input to incident investigations and governance panels Maintain oversight of SHE, GMP/GxP, Data Integrity, and environmental controls Support engineering governance in environments involving hazardous or exotic materials Leadership & Capability: Lead, develop, and resource a high-performing team of up to 10 direct reports Act as an internal consultant and mentor across CPI's technology centres Support long-term engineering capability and succession planning Manage budgets, resource planning, and external contractor competence About You: You are a senior engineering professional who brings breadth, structure, and independence of thought rather than a single-discipline bias. Your background could be mechanical, electrical, civil, or another engineering discipline - what matters is your ability to understand how complex engineering systems come together and to govern them effectively.You'll bring: Significant senior-level engineering leadership experience in regulated or safety-critical environments A strong understanding of ISO frameworks, quality systems, and engineering governance Confidence to influence and challenge senior stakeholders constructively Experience working across multiple engineering disciplines and translating between them A pragmatic, evidence-based approach to risk and decision-making Desirable (but not essential): Experience in chemical, pharmaceutical, nuclear, defence, polymer, or emerging technology environments Awareness of public-sector funded or CPI-style operating models , including procurement and governance complexity Exposure to pressure systems, process safety, or high-energy/hazardous plant Why Join CPI? A genuinely autonomous and influential senior engineering role Exposure to cutting-edge materials, pilot plants, and industrial-scale facilities Opportunity to shape future strategy, standards, and capability Flexible, outcomes-focused working culture Competitive salary (£57k-£73k), car allowance, and hybrid working Location & Working Pattern UK-wide remit with multiple operational sites Home-based / hybrid working supported Travel to sites as required (car allowance provided) Flexible approach to working hours - focused on impact, not presenteeism Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 04, 2026
Full time
Head of Engineering Planning & Governance Hybrid, multi-site (UK-wide) £57,000 - £73,000 + car allowance About the Role: CPI is seeking a Head of Engineering Planning & Governance to provide strong, independent oversight of engineering standards, safety, and compliance across their multi-site estate.This is a highly influential role at the intersection of projects, maintenance, and specialist engineering , ensuring that good engineering practice is consistently applied - from early concept and specification through to project delivery, handover, and long-term asset performance.Reporting to the Operations Support Director, you will act as the organisation's engineering conscience : setting standards, auditing compliance, challenging plans where needed, and supporting teams to deliver safely, compliantly, and efficiently in complex, regulated environments.Hybrid working is supported, with flexibility over base location (including home if preferred). The role requires regular travel to all CPI sites on an as-needed basis, and ad-hoc travel to non-CPI sites, both of which may include overnight stays as necessary. What You'll Be Responsible For: Engineering Governance & Assurance Own and continually develop CPI's engineering governance framework across all engineering disciplines Ensure compliance with statutory, ISO, regulatory, and internal engineering standards Provide an independent audit and assurance function across projects and operational engineering Maintain high-quality engineering documentation including Standard Operating Procedures, drawings, specifications, User Requirement Specifications, and handover packs Ensure engineering activities meet expectations for safety, quality, environmental protection, and data integrity Projects & Strategic Oversight: Provide governance oversight for major capital and engineering projects, including turnkey and self-managed delivery models Operate at SteerCo and senior stakeholder level on complex programmes Shape early-stage project strategy - including delivery approach, specification, and readiness of maintenance and spares Oversee effective handover from projects into operations and maintenance Cross-Disciplinary Leadership: Lead and coordinate a diverse team of specialist engineers covering: Mechanical, Electrical, Control & Instrumentation Reliability Engineering Asset assurance and pressure systems Act as a trusted technical authority across engineering, projects, maintenance, and operations Confidently challenge decisions and, where required, stop or reset activities that don't meet engineering or safety standards Safety, Risk & Regulation: Ensure statutory compliance across CPI's asset base, including high-hazard and process environments Lead engineering input to incident investigations and governance panels Maintain oversight of SHE, GMP/GxP, Data Integrity, and environmental controls Support engineering governance in environments involving hazardous or exotic materials Leadership & Capability: Lead, develop, and resource a high-performing team of up to 10 direct reports Act as an internal consultant and mentor across CPI's technology centres Support long-term engineering capability and succession planning Manage budgets, resource planning, and external contractor competence About You: You are a senior engineering professional who brings breadth, structure, and independence of thought rather than a single-discipline bias. Your background could be mechanical, electrical, civil, or another engineering discipline - what matters is your ability to understand how complex engineering systems come together and to govern them effectively.You'll bring: Significant senior-level engineering leadership experience in regulated or safety-critical environments A strong understanding of ISO frameworks, quality systems, and engineering governance Confidence to influence and challenge senior stakeholders constructively Experience working across multiple engineering disciplines and translating between them A pragmatic, evidence-based approach to risk and decision-making Desirable (but not essential): Experience in chemical, pharmaceutical, nuclear, defence, polymer, or emerging technology environments Awareness of public-sector funded or CPI-style operating models , including procurement and governance complexity Exposure to pressure systems, process safety, or high-energy/hazardous plant Why Join CPI? A genuinely autonomous and influential senior engineering role Exposure to cutting-edge materials, pilot plants, and industrial-scale facilities Opportunity to shape future strategy, standards, and capability Flexible, outcomes-focused working culture Competitive salary (£57k-£73k), car allowance, and hybrid working Location & Working Pattern UK-wide remit with multiple operational sites Home-based / hybrid working supported Travel to sites as required (car allowance provided) Flexible approach to working hours - focused on impact, not presenteeism Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Life on the team We are looking for a Senior Business Analyst / Functional Consultant to join our Group Information Services team at Computacenter, this is an excellent opportunity to join a thriving team, you'll report to the Head of Services Management Systems and have the autonomy to really make this role your own! You will be part of a team of functional consultants focused on implementing new f click apply for full job details
May 04, 2026
Full time
Life on the team We are looking for a Senior Business Analyst / Functional Consultant to join our Group Information Services team at Computacenter, this is an excellent opportunity to join a thriving team, you'll report to the Head of Services Management Systems and have the autonomy to really make this role your own! You will be part of a team of functional consultants focused on implementing new f click apply for full job details
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. The Workforce Planning Manager provides a single, trusted view of demand, capacity, skills and readiness sign-off for Playout and converts it into fair, predictable rosters that keep colleagues healthy and services ready. The role makes the workforce picture simple and reliable for leaders and operators, turning data into clear plans and timely action. The role is responsible for delivering efficient utilisation of our workforc e while also ensuring coverage is consistent, breaks are protected and staff roster retain maximal certainty. The role also supports workforce optimisation across Content Experience & Distribution (CXD), contributing to potential shared resourc ing initiatives. The role partners with e ditorial and o perations leadership to understand demand, and with Team Managers to align competency /sign-off coverage and training plans. To increase elasticity, the role builds and leads a resilient freelancer network - expanding the community, streamlining onboarding and compliance, and ensuring transparent utilisation and cost reporting - so supply can flex for peaks without compromising policy or fairness. Finally, the role assesses and improves the booking landscape by specifying, selecting and adopting booking systems and automation that simplify demand capture, roster build and confirmations while reduc ing manual effort and errors across end-to-end resource management. What you'll do Key Responsibilities Own the demand-supply picture for Playout; forecast demand; map capacity, skills and readiness sign-off; surface risks, constraints and options Design and govern roster rules and patterns for fairness, predictability and coverage; protect breaks and rostering certainty Build and publish rotas to agreed timelines; manage day-of-change and backfill according to rules Partner with Team Managers to plan training and assessments; maintain competency coverage Model scenarios for peaks, events and change; agree contingency plans and cost/coverage trade-offs with stakeholders and the Head of Workforce Management Run a concise KPI set and a simple dashboard (e.g., utilisation efficiency, roster stability, time-to-backfill, competency coverage, overtime & freelance usage) Grow and curate a freelancer community for Playout; maintain accurate profiles (skills, sign-off, rates, availability) and satisfaction signals Own freelancer onboarding and compliance with HR/Legal/Procurement Establish clear timesheeting and approvals; ensure accurate cost allocation and budget tracking Own the requirements for booking systems across demand, supply and confirmations; lead vendor assessment with other departments; run small pilots and plan adoption (training, quick references, policy updates) Keep patterns, rules and references current; capture lessons with Playout Capability Management, Operational Analysis and Operational Insight so skills plans and rosters improve continuously Ways of Working Communicate workforce truth in plain English; explain drivers, options and impacts clearly and consistently Work collaboratively with Team Managers, the Head of Workforce Management and the Head of Playout Operations; recognise great practice and coach improvements Balance people wellbeing, service quality and cost; use evidence to drive fair decisions; maintain planning independence while being collaborative Model tidy documentation and disciplined change control for roster rules, booking processes and compliance artefacts What you'll bring Essential Hands-on roster ownership in broadcast or comparable high-reliability environment Proven management of a large freelance community (sourcing, relationships, communications and issue resolution) Experience onboarding freelancers at pace with robust compliance Ownership of timesheeting and approval processes with accurate cost allocation budget tracking Experience specifying, selecting and adopting booking systems and streamlining resource-management workflows (requirements, testing and adoption) Strong scheduling tool proficiency ; able to produce and present utilisation and financial reporting to stakeholders Familiarity with rate-card governance, vendor frameworks and contract hygiene Calm, fair communicator who can collaborate effectively across operational, content and support departments Desirable Working knowledge of skills/ competency frameworks and training scheduling and their impact on go-live readiness 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. For this role we offer the hybrid working approach with 3 days a week onsite in Osterley campus. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 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. The Workforce Planning Manager provides a single, trusted view of demand, capacity, skills and readiness sign-off for Playout and converts it into fair, predictable rosters that keep colleagues healthy and services ready. The role makes the workforce picture simple and reliable for leaders and operators, turning data into clear plans and timely action. The role is responsible for delivering efficient utilisation of our workforc e while also ensuring coverage is consistent, breaks are protected and staff roster retain maximal certainty. The role also supports workforce optimisation across Content Experience & Distribution (CXD), contributing to potential shared resourc ing initiatives. The role partners with e ditorial and o perations leadership to understand demand, and with Team Managers to align competency /sign-off coverage and training plans. To increase elasticity, the role builds and leads a resilient freelancer network - expanding the community, streamlining onboarding and compliance, and ensuring transparent utilisation and cost reporting - so supply can flex for peaks without compromising policy or fairness. Finally, the role assesses and improves the booking landscape by specifying, selecting and adopting booking systems and automation that simplify demand capture, roster build and confirmations while reduc ing manual effort and errors across end-to-end resource management. What you'll do Key Responsibilities Own the demand-supply picture for Playout; forecast demand; map capacity, skills and readiness sign-off; surface risks, constraints and options Design and govern roster rules and patterns for fairness, predictability and coverage; protect breaks and rostering certainty Build and publish rotas to agreed timelines; manage day-of-change and backfill according to rules Partner with Team Managers to plan training and assessments; maintain competency coverage Model scenarios for peaks, events and change; agree contingency plans and cost/coverage trade-offs with stakeholders and the Head of Workforce Management Run a concise KPI set and a simple dashboard (e.g., utilisation efficiency, roster stability, time-to-backfill, competency coverage, overtime & freelance usage) Grow and curate a freelancer community for Playout; maintain accurate profiles (skills, sign-off, rates, availability) and satisfaction signals Own freelancer onboarding and compliance with HR/Legal/Procurement Establish clear timesheeting and approvals; ensure accurate cost allocation and budget tracking Own the requirements for booking systems across demand, supply and confirmations; lead vendor assessment with other departments; run small pilots and plan adoption (training, quick references, policy updates) Keep patterns, rules and references current; capture lessons with Playout Capability Management, Operational Analysis and Operational Insight so skills plans and rosters improve continuously Ways of Working Communicate workforce truth in plain English; explain drivers, options and impacts clearly and consistently Work collaboratively with Team Managers, the Head of Workforce Management and the Head of Playout Operations; recognise great practice and coach improvements Balance people wellbeing, service quality and cost; use evidence to drive fair decisions; maintain planning independence while being collaborative Model tidy documentation and disciplined change control for roster rules, booking processes and compliance artefacts What you'll bring Essential Hands-on roster ownership in broadcast or comparable high-reliability environment Proven management of a large freelance community (sourcing, relationships, communications and issue resolution) Experience onboarding freelancers at pace with robust compliance Ownership of timesheeting and approval processes with accurate cost allocation budget tracking Experience specifying, selecting and adopting booking systems and streamlining resource-management workflows (requirements, testing and adoption) Strong scheduling tool proficiency ; able to produce and present utilisation and financial reporting to stakeholders Familiarity with rate-card governance, vendor frameworks and contract hygiene Calm, fair communicator who can collaborate effectively across operational, content and support departments Desirable Working knowledge of skills/ competency frameworks and training scheduling and their impact on go-live readiness 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. For this role we offer the hybrid working approach with 3 days a week onsite in Osterley campus. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Capability Owners are strategic owners for a defined segment of the playout supply chain. They own that segment end to end: identifying opportunities to evolve it, writing clear functional specifications and user stories, making the business case that quantifies financial impact, embedding with Content & Broadcast Platforms (CBP) squads during solution development, coordinating operational testing with Operations Analysts, governing handover of tech deliverables at the operational acceptance check and then owning in-life performance once live. In their domain - for example Input and Readiness, On-air Management or Monitoring and Resilience - Capability Owners make operations simpler, safer and more reliable by keeping standards clear, fallbacks easy to use and performance signals visible and acted on. They are accountable for surfacing and shaping automation and AI opportunities in their segment and for proposing small, safe trials that prove value and operational integrity before scale. They partner closely with Playout Operations to plan the rollout of new features and functionality, also coordinating with Origination Experience & Insight and Workforce Management so learning drives improvement and training and sign-off land on time. They keep documentation and reference material current and usable so designs hold up at real-time operational speed and outcomes are sustained once live. What you'll do: Key Responsibilities Own the strategy and roadmap for your domain with quantified benefits, risks and cost to deliver Identify opportunities to simplify, automate or apply AI in your segment; prepare business cases with financial impact, risk and success measures Write functional specifications and user stories with clear acceptance criteria; align stories with business case benefits Embed within CBP squads during discovery, design and build; act as the operational voice so solutions are operable in real-time operations Plan and coordinate non-live validation and operational smoke tests with Operations Analysts; capture outcomes and raise defects with reproducible steps Provide evidence into the operational acceptance check before go-live: people signed-off, SOPs/fallbacks updated and rehearsed, monitoring/alerts meaningful, ownership for support/escalation/rollback clear Govern handover of tech deliverables and confirm service-introduction checklists are complete before adoption Own in-life performance for your domain; define a small KPI set and dashboard; monitor signals, diagnose issues and drive fixes and simplifications Keep standards, procedures and fallbacks current and easy to follow; remove steps and tools that no longer add value Partner with Playout Operations to plan adoption windows and gather operator feedback; improve designs quickly Partner with Origination Experience & Insight to act on RCA findings and scorecard trends; turn learning into prevention and standards Partner with Workforce Management so training, sign-off and cover are in place ahead of adoption windows Report progress, risks and decisions in plain English; keep stakeholders aligned and choices traceable Ways of Working Lead through expertise and influence; make decisions with evidence and explain them clearly Use plain English; write standards and change notes people can use on shift Listen to operators and CBP partners; close the loop on feedback and show what changed Prefer small, safe steps over big-bang changes; learn, adjust and move forward What you'll bring: Essential experience Deep practitioner experience of linear broadcasting and playout operations or closely related media engineering, with excellent understanding of playout systems, workflows and failure modes A track record of owning a workflow segment end to end: opportunity identification and business casing - functional specification/user stories - embedded with engineering squads (e.g. CBP) during build - non-live validation/smoke tests - operational acceptance check governance - in-life performance ownership Evidence of quantifying financial impact (cost-to-serve, efficiency, error reduction or revenue protection) and maintaining a simple benefits register with clear progress reporting against targets Backlog and acceptance discipline: defining business rules, functional requirements and testable acceptance criteria aligned to operational goals and SLAs/OLAs Change and adoption governance in live environments: service-introduction checklists, readiness evidence and coordinated adoption windows Data and insight literacy: sets a small KPI set and a simple dashboard for the domain; uses signals to prioritise fixes and improvements Senior stakeholder influence: experience shaping priorities and trade-offs with Director-level stakeholders; building consensus across Operations, engineering and adjacent functions while safeguarding operations Cross-functional coordination: demonstrable experience of successfully sequencing and coordinating the workload of multi-skilled teams and vendors (without line authority), keeping dependencies and risks visible from discovery through adoption Desirable Experience contributing to managed-service propositions or multi-territory workflow design Agile literacy and experience using showcases/demos to validate solutions with operators 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. For this role we offer the hybrid working approach with 3 days a week onsite in Osterley campus. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 04, 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. Capability Owners are strategic owners for a defined segment of the playout supply chain. They own that segment end to end: identifying opportunities to evolve it, writing clear functional specifications and user stories, making the business case that quantifies financial impact, embedding with Content & Broadcast Platforms (CBP) squads during solution development, coordinating operational testing with Operations Analysts, governing handover of tech deliverables at the operational acceptance check and then owning in-life performance once live. In their domain - for example Input and Readiness, On-air Management or Monitoring and Resilience - Capability Owners make operations simpler, safer and more reliable by keeping standards clear, fallbacks easy to use and performance signals visible and acted on. They are accountable for surfacing and shaping automation and AI opportunities in their segment and for proposing small, safe trials that prove value and operational integrity before scale. They partner closely with Playout Operations to plan the rollout of new features and functionality, also coordinating with Origination Experience & Insight and Workforce Management so learning drives improvement and training and sign-off land on time. They keep documentation and reference material current and usable so designs hold up at real-time operational speed and outcomes are sustained once live. What you'll do: Key Responsibilities Own the strategy and roadmap for your domain with quantified benefits, risks and cost to deliver Identify opportunities to simplify, automate or apply AI in your segment; prepare business cases with financial impact, risk and success measures Write functional specifications and user stories with clear acceptance criteria; align stories with business case benefits Embed within CBP squads during discovery, design and build; act as the operational voice so solutions are operable in real-time operations Plan and coordinate non-live validation and operational smoke tests with Operations Analysts; capture outcomes and raise defects with reproducible steps Provide evidence into the operational acceptance check before go-live: people signed-off, SOPs/fallbacks updated and rehearsed, monitoring/alerts meaningful, ownership for support/escalation/rollback clear Govern handover of tech deliverables and confirm service-introduction checklists are complete before adoption Own in-life performance for your domain; define a small KPI set and dashboard; monitor signals, diagnose issues and drive fixes and simplifications Keep standards, procedures and fallbacks current and easy to follow; remove steps and tools that no longer add value Partner with Playout Operations to plan adoption windows and gather operator feedback; improve designs quickly Partner with Origination Experience & Insight to act on RCA findings and scorecard trends; turn learning into prevention and standards Partner with Workforce Management so training, sign-off and cover are in place ahead of adoption windows Report progress, risks and decisions in plain English; keep stakeholders aligned and choices traceable Ways of Working Lead through expertise and influence; make decisions with evidence and explain them clearly Use plain English; write standards and change notes people can use on shift Listen to operators and CBP partners; close the loop on feedback and show what changed Prefer small, safe steps over big-bang changes; learn, adjust and move forward What you'll bring: Essential experience Deep practitioner experience of linear broadcasting and playout operations or closely related media engineering, with excellent understanding of playout systems, workflows and failure modes A track record of owning a workflow segment end to end: opportunity identification and business casing - functional specification/user stories - embedded with engineering squads (e.g. CBP) during build - non-live validation/smoke tests - operational acceptance check governance - in-life performance ownership Evidence of quantifying financial impact (cost-to-serve, efficiency, error reduction or revenue protection) and maintaining a simple benefits register with clear progress reporting against targets Backlog and acceptance discipline: defining business rules, functional requirements and testable acceptance criteria aligned to operational goals and SLAs/OLAs Change and adoption governance in live environments: service-introduction checklists, readiness evidence and coordinated adoption windows Data and insight literacy: sets a small KPI set and a simple dashboard for the domain; uses signals to prioritise fixes and improvements Senior stakeholder influence: experience shaping priorities and trade-offs with Director-level stakeholders; building consensus across Operations, engineering and adjacent functions while safeguarding operations Cross-functional coordination: demonstrable experience of successfully sequencing and coordinating the workload of multi-skilled teams and vendors (without line authority), keeping dependencies and risks visible from discovery through adoption Desirable Experience contributing to managed-service propositions or multi-territory workflow design Agile literacy and experience using showcases/demos to validate solutions with operators 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. For this role we offer the hybrid working approach with 3 days a week onsite in Osterley campus. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Field Service Engineer - Heavy Plant Equipment Location: Darlington Salary: Approx. £50,700 per year + overtime opportunities Hours: 7:00am to 5:30pm Mon to Friday (overtime available) About the company: One of the UK's leading crushing and screening specialists. Operating nationwide from their Darlington headquarters, they are proud to be the authorised dealer for leading brands including SANY, Tesab, SBM Mineral Processing, Barford, and NC Engineering. Due to continued growth, we're looking for skilled and motivated Field Service Engineers to join their expanding team. The Role: As a Field Service Engineer, you'll play a key role in supporting our customers by ensuring their equipment operates at peak performance. Working across a variety of client sites, no two days will be the same. Key Responsibilities: Install, service, and repair heavy plant equipment on customer sites Diagnose faults and carry out effective on-site repairs Perform routine inspections and preventative maintenance Ensure all work is completed in line with health & safety standards Provide technical support and training to customers Work closely with the wider engineering team to improve equipment performance What We're Looking For: Proven experience in a Field Service Engineer or similar role Strong knowledge of engines, hydraulics, and electrical systems Experience working with heavy plant or construction machinery Ability to work independently and solve problems efficiently Excellent communication and customer-facing skills Full UK driving licence (essential) Steel fabrication skills Familiarity with diagnostic software and tools What's On Offer: Competitive salary (approx. £50,700 per year) Overtime opportunities (including Saturdays and overnight stays) Stable, full-time position with a growing company Opportunity to work with leading global equipment brands Varied and hands-on role with nationwide travel Company vehicle and fuel card Pension plus more
May 04, 2026
Full time
Field Service Engineer - Heavy Plant Equipment Location: Darlington Salary: Approx. £50,700 per year + overtime opportunities Hours: 7:00am to 5:30pm Mon to Friday (overtime available) About the company: One of the UK's leading crushing and screening specialists. Operating nationwide from their Darlington headquarters, they are proud to be the authorised dealer for leading brands including SANY, Tesab, SBM Mineral Processing, Barford, and NC Engineering. Due to continued growth, we're looking for skilled and motivated Field Service Engineers to join their expanding team. The Role: As a Field Service Engineer, you'll play a key role in supporting our customers by ensuring their equipment operates at peak performance. Working across a variety of client sites, no two days will be the same. Key Responsibilities: Install, service, and repair heavy plant equipment on customer sites Diagnose faults and carry out effective on-site repairs Perform routine inspections and preventative maintenance Ensure all work is completed in line with health & safety standards Provide technical support and training to customers Work closely with the wider engineering team to improve equipment performance What We're Looking For: Proven experience in a Field Service Engineer or similar role Strong knowledge of engines, hydraulics, and electrical systems Experience working with heavy plant or construction machinery Ability to work independently and solve problems efficiently Excellent communication and customer-facing skills Full UK driving licence (essential) Steel fabrication skills Familiarity with diagnostic software and tools What's On Offer: Competitive salary (approx. £50,700 per year) Overtime opportunities (including Saturdays and overnight stays) Stable, full-time position with a growing company Opportunity to work with leading global equipment brands Varied and hands-on role with nationwide travel Company vehicle and fuel card Pension plus more
Job Advertisement: Office Administrator Are you a proactive and organised individual looking to make a difference in a dynamic work environment? Our client is seeking an enthusiastic Office Administrator to join their team! If you thrive in a fast-paced setting and enjoy supporting diverse departments, this role is perfect for you! Position: Office Administrator Location: Office-based in Victoria Hours: Monday to Friday, 09:00 - 17:00 Reporting to: Head of Service Delivery Main Purpose of the Job: As the Office Administrator, you will play a key role in supporting the Property and Accounts Departments. Your responsibilities will include a variety of administrative tasks that ensure smooth operations and excellent service delivery. Key Responsibilities: Provide lunch time cover for the reception desk area. Keep the compliance schedule updated to flag upcoming inspections and testing. Maintain all online systems (PRISM, Asbestos Management, etc.) to ensure accuracy. Take and distribute minutes for Monthly Property Meetings, HRB Meetings, Debtor Meetings, and any other meetings as required. Scan and file client correspondence within designated e-folders. Answer incoming telephone calls, addressing inquiries and forwarding calls as needed. Monitor the general info email account and action emails promptly. Manage utilities and council tax transfers to and from tenants, including obtaining meter readings and coordinating with the Accounts Department for payments. Organise and maintain office supplies and stationery stock. Issue and monitor security passes for tenants and contractors. Handle incoming and outgoing post, including couriers. Liaise with tenants regarding day-to-day issues. Arrange contractor visits and follow up on outstanding reports, quotes, and invoices. Keep the procedures manual updated and accessible. Set up and maintain the Meeting Room to ensure it meets the required standards. Support the Head of Service Delivery with weekly building safety checks. Raise purchase orders in SAGE and provide administrative support to the Accounts Department. Process invoices for payment on the Paperless system in collaboration with the Accounts Department. Draft APT agreements for new tenancies or renewals, ensuring all specific details are accurately included. Handle deposit protection certificates with TDS and process deposit protection payments. Maintain an up-to-date contact list and right to rent documents. Obtain and keep a register of contractor insurance documents. Perform general administrative duties, such as typing letters/reports and shredding old documents. Why Join Us? This is an exciting opportunity to be part of a vibrant team and contribute to the success of our organisation. The ideal candidate will be adaptable, detail-oriented, and ready to take on various tasks as they arise. If you are ready to embark on a fulfilling career as an Office Administrator and contribute to an outstanding team, we want to hear from you! Join us in creating a positive and productive workplace. Apply today! Office Angels is an employment agency. We are an equal opportunities employer who put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. We do this by showcasing their talents, skills and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
May 04, 2026
Full time
Job Advertisement: Office Administrator Are you a proactive and organised individual looking to make a difference in a dynamic work environment? Our client is seeking an enthusiastic Office Administrator to join their team! If you thrive in a fast-paced setting and enjoy supporting diverse departments, this role is perfect for you! Position: Office Administrator Location: Office-based in Victoria Hours: Monday to Friday, 09:00 - 17:00 Reporting to: Head of Service Delivery Main Purpose of the Job: As the Office Administrator, you will play a key role in supporting the Property and Accounts Departments. Your responsibilities will include a variety of administrative tasks that ensure smooth operations and excellent service delivery. Key Responsibilities: Provide lunch time cover for the reception desk area. Keep the compliance schedule updated to flag upcoming inspections and testing. Maintain all online systems (PRISM, Asbestos Management, etc.) to ensure accuracy. Take and distribute minutes for Monthly Property Meetings, HRB Meetings, Debtor Meetings, and any other meetings as required. Scan and file client correspondence within designated e-folders. Answer incoming telephone calls, addressing inquiries and forwarding calls as needed. Monitor the general info email account and action emails promptly. Manage utilities and council tax transfers to and from tenants, including obtaining meter readings and coordinating with the Accounts Department for payments. Organise and maintain office supplies and stationery stock. Issue and monitor security passes for tenants and contractors. Handle incoming and outgoing post, including couriers. Liaise with tenants regarding day-to-day issues. Arrange contractor visits and follow up on outstanding reports, quotes, and invoices. Keep the procedures manual updated and accessible. Set up and maintain the Meeting Room to ensure it meets the required standards. Support the Head of Service Delivery with weekly building safety checks. Raise purchase orders in SAGE and provide administrative support to the Accounts Department. Process invoices for payment on the Paperless system in collaboration with the Accounts Department. Draft APT agreements for new tenancies or renewals, ensuring all specific details are accurately included. Handle deposit protection certificates with TDS and process deposit protection payments. Maintain an up-to-date contact list and right to rent documents. Obtain and keep a register of contractor insurance documents. Perform general administrative duties, such as typing letters/reports and shredding old documents. Why Join Us? This is an exciting opportunity to be part of a vibrant team and contribute to the success of our organisation. The ideal candidate will be adaptable, detail-oriented, and ready to take on various tasks as they arise. If you are ready to embark on a fulfilling career as an Office Administrator and contribute to an outstanding team, we want to hear from you! Join us in creating a positive and productive workplace. Apply today! Office Angels is an employment agency. We are an equal opportunities employer who put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. We do this by showcasing their talents, skills and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
