Product testing jobs in United Kingdom

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

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

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

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

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

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband 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: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane 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. 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 artefactsWhat 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 #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work 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 forwardWhat 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 operatorsThe rewards: There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work 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.

About us: The Bread Factory is London’s leading Artisan Bakery, known for award-winning breads, pastries, and cakes, supplying top-quality products across e-commerce, grocery, food services, and retailers such as our GAIL’s Bakeries nationwide. As our teams grow, we seek our next Process Technologist to join our NPD team. Every day is different at The Bread Factory, but here are some of the things you will be doing: • Receive and fully understand project handovers from the Development team, ensuring risk assessments are approved and process feasibility is assessed with mitigation plans in place., • Plan and coordinate factory trials, including ordering and managing ingredient deliveries., • Create and maintain detailed process flow documentation from test bakery/kitchen through to full factory scale., • Record trial data including recipe details, line settings, adjustments, SPC data, key measurements, and photos., • Finalise process documentation following successful scale-up trials and share updates with relevant stakeholders., • Ensure shelf-life testing, nutritional analysis and lab assessments are completed and reflected in specifications., • Ensure recipes are correctly set up within production systems and planning tools., • Identify and implement improvement opportunities from trials and live production., • Obtain approvals for Process Flow documents and Quality Attribute Standards. Our team tells us you will be a great addition if you have: • Proven ability to scale recipes from test kitchen to factory production., • Strong understanding of bakery manufacturing processes, systems and parameters., • Familiarity with process documentation, recipe management and production planning systems (experience with tools such as Cybake, Smartsheet or ERP systems is advantageous)., • Good understanding of ingredients, product functionality and basic nutrition., • Strong numeracy and IT skills, including Excel and data analysis., • Highly organised with strong attention to detail., • Able to manage multiple projects and meet tight deadlines in a fast-paced environment., • Practical, hands-on approach to trials and problem solving., • Able to work independently and use sound judgement., • Strong collaborator, able to build relationships across teams. What’s in it for you: • Fresh bread daily to take home to enjoy with family and friends., • 50% discount at GAIL’s and 40% off at The Bread Factory & The Flour Station Markets., • 25 days holiday + bank holidays, • Discounts and Savings from high-street retailers and restaurants, • 24-hour GP service, • Cycle to work scheme

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Process Manager - Acquisition About the role At the intersection of Digital Product, Change and Risk Management, we aren’t just looking for someone to "manage" a process — we need someone who’ll own and champion our process evolution, working with a high degree of autonomy and in close partnership with our current Process and Product Management team. Your mission is to bridge the gap between ambitious business growth and a sound risk culture, ensuring resilience and sustainability. This role will have a significant impact on the overall effectiveness of our team and to our acquisition success so you’ll need to be passionate about technology, data, product and process excellence. You’ll work collaboratively and embed yourself within our team to proactively find insights, look for efficiencies and drive changes to improve prospects’ experiences and our risk & control frameworks. What you’ll do Our ability to grow and manage risk is tied to the efficiency of our core systems. You won't just manage processes, you’ll help architect how we embed robust risk controls and streamline complex workflows. In this role, you will move beyond tactical oversight to drive the product standard: * Strategic Review: You’ll analyse control metrics, looking for friction or control failures that drive risk or customer pain. * Product Partnership: You’ll liaise regularly with the Product and Technology teams to present your data, influence the backlog and drive change. You’ll be the voice of the customer and process excellence, ensuring key business objectives and risk controls are well-represented alongside short-term fixes. * Deep Dive & Design: You’ll be responsible for ensuring the control suite is efficient, scalable, and fully documented. You may also find yourself working closely with a cross-functional squad, mapping out end-to-end process flows for a key feature or user journey to identify opportunities. * Control Testing: You’ll partner with Second and Third Line functions to make sure our key risks are effectively monitored and documented, with follow-up actions and improvements progressed to completion. The Outcomes You’ll Drive: * Fostering a Risk-Aware Culture: You will act as an SME and consult to our Product teams, shifting the mindset from "compliance as a hurdle" to "risk as a foundation", ensuring risk is mitigated by design. * Driving Automated Governance: You will lead the transition toward a digitized control suite, replacing manual touchpoints with automated, data-driven monitoring to achieve optimum efficiency at scale. * Strategic Stakeholder Management: You will partner with 2nd and 3rd line functions (Risk and Audit) to provide transparent, high-level assurance, turning process reviews into opportunities for continuous improvement. * Data-Driven Decisioning: Leveraging a high level of numerical ability, you will transform raw data into strategic insights that influence prioritization and investment across our acquisition platforms. What we’re looking for We're looking for someone who can combine deep analytical rigor, technical understanding and process governance with the ability to influence cross functionally. Any experience of digital product management would also be an advantage. * You can find the story in the data. You possess exceptional numerical ability and an inherent analytical curiosity to quickly spot trends and opportunities and to navigate complex systems and technology architectures with precision. * You're an improvement expert. You have hands-on experience applying methodologies like LEAN or Six Sigma to drive tangible, measurable improvements in operational processes. * You speak risk. You have experience in Risk Management, understanding how to design and performance-test controls to manage and monitor key business risks effectively. * You thrive cross-functionally. You are an adept communicator who can influence cross-functionally, input into key decisions and drive tangible business results. * You are driven by detail and clarity. You have great attention to detail, not just for documentation, but for understanding the deep interdependencies of systems, technology and data that underpin our processes. Professional Integrity: You bring a balanced, "customer-first" approach to decision-making, ensuring that every efficiency gain also enhances our commitment to fair customer outcomes. Where and how you'll work This is a permanent position and can be based in our Nottingham or London offices. We have a hybrid working model which gives you flexibility to work from our offices and from home. We’re big on collaboration and connection, so you’ll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you * Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation * We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) * Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave * Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: * REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies * OutFront – to provide LGBTQ+ support for all associates * Mind Your Mind – signposting support and promoting positive mental wellbeing for all * Women in Tech – promoting an inclusive environment in tech * EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

About the Company Lynx Recruitment are supporting an award-winning integrated brand performance agency, bringing together specialists across media, creative, social, analytics, UX, data science, search marketing, and PR, who help both consumer and B2B brands navigate an increasingly complex digital landscape through a combination of strategic planning, cutting-edge technology, and data-driven insight. Role Overview We are looking for an Account Executive to drive the planning and execution of high-impact growth strategies. This role blends retail fundamentals, advertising performance, and emerging technologies such as AI-driven optimisation and advanced media measurement. You will manage client accounts, ensuring operational excellence across retail and advertising activities. Working closely with senior stakeholders, you will contribute to campaign strategy, performance optimisation, and client reporting, while also playing a key role in evolving marketplace offering. Key Responsibilities • Deliver commercially focused marketplace strategies and manage day-to-day campaign performance, • Support the development and execution of integrated strategies across retail, advertising, and content, • Plan, launch, and optimise ad campaigns (Sponsored Products, Sponsored Brands, Sponsored Display, DSP), • Conduct keyword, competitor, and category research to improve visibility and performance, • Optimise product detail pages, including content, imagery, and brand storefronts, • Use automation tools and AI-driven platforms to enhance efficiency and results, • Monitor performance and provide clear, actionable insights and reporting to clients, • Manage bids, budgets, targeting, and testing strategies to drive continuous improvement, • Stay up to date with ecosystem developments, tools, and best practices, • Degree educated (2:1 or above), ideally in business, marketing, economics, or a quantitative discipline, • 1-2 years of experience in advertising, marketplace management, or retail media, • Hands-on experience managing Sponsored Ads campaigns, • Experience working with E-commerce or marketplace brands (agency or retail environment preferred), • Strong analytical skills with the ability to turn data into actionable insights, • Confident communicator with experience presenting performance insights, • Strong organisational skills with the ability to manage multiple priorities, • Work with a collaborative team of specialists across multiple disciplines, • Opportunity to shape and grow marketplace capabilities, • Exposure to innovative tools, technologies, and leading brands, • Clear development Pathway within a fast-growing environment

Marketing Technology ExecutiveLondon, hybrid - 1x a week Up to £50,000 This is an exciting opportunity to join a growing digital marketing function at a pivotal moment in their marketplace expansion. You will play a key role in shaping technical marketing capabilities, building data pipelines, and ensuring product and stock feeds power accurate, impactful customer targeting across major digital channels. The Company They are a well-established consumer brand undergoing significant investment in digital transformation. With a strong focus on marketplace growth, they are building out modern data and marketing capabilities to support best-in-class customer experience. You will join a collaborative digital marketing and data environment where technical innovation is encouraged, and outcome-based working is the norm. The Role You will work within the Marketing Technology team and be responsible for developing and maintaining the product and stock feeds that underpin marketing performance. Your work will ensure accurate data delivery across platforms and empower marketing teams to execute effective, data-driven activity. Key responsibilities include: • Supporting the integration of product and stock feeds across multiple platforms. * Developing, maintaining, and validating data pipelines to ensure accurate, real-time data flow. * Ensuring product attributes surface correctly across digital marketing channels. * Managing integrations with marketing platforms and ensuring data consistency. * Supporting optimisation and testing frameworks, including feed-level A/B tests. * Understanding how data flows through architecture and helping shape technical solutions. * Working with engineering teams on ETL processes and pipeline health. * Using tools such as Intelligent Reach, GCP, and Snowflake to support accurate data transformation. * Collaborating closely with digital marketing teams to ensure campaigns target the right customers. Your Skills and Experience * Strong experience working with product and stock feeds in a digital or ecommerce environment. * Strong understanding of ETL processes, data pipelines, and real-time data architecture. * Experience working with GCP or similar cloud environments. * Hands-on exposure to marketing technology platforms such as TikTok, Meta, Google, and Snowflake. * Familiarity with APIs and how they are deployed and managed. * Experience using or supporting platforms such as Intelligent Reach or similar feed-management tools. * Comfortable working on technical integrations and collaborating with engineers and marketers. * Experience with analytics testing frameworks such as A/B testing. What They Offer * Hybrid work environment with flexibility and outcome-based working. * Career growth within a marketing technology and data governance function. * Opportunities to work with modern MarTech tools and support major digital transformation initiatives. How to Apply If this Marketing Technology Executive role sounds like the right next step for you, please apply today to start the conversation.

UX Designer 24 month Fixed Term Contract - 2 days a week onsite in West London Up to £53,000 per annum, good pension contributions, 25 days holiday I'm currently partnering with a leading Not-for-Profit / Charity to recruit a User Experience (UX) Designer on a 24-month FTC within a collaborative digital team. This is a fantastic opportunity to shape impactful digital experiences across projects spanning fundraising, online collections, and immersive digital initiatives. You'll play a key role across the full product lifecycle-from discovery through to delivery-ensuring user needs are at the heart of every decision. Key responsibilities: • Lead user research, testing, and insight gathering to inform design decisions, • Translate insights into user journeys, wireframes, and prototypes, • Drive data-led UX improvements, including CRO and A/B testing, • Collaborate with cross-functional teams (product, design, content, development), • Strong experience in UX design, research, and optimisation, • Confidence working with both qualitative and quantitative data, • Proven ability to manage stakeholders and influence outcomes, • Experience with wireframing, prototyping, and experimentation tools If you're passionate about designing meaningful digital experiences within a purpose-driven environment, I'd love to hear from you-please get in touch to discuss further. Diversity, equity, and inclusion are at the heart of what we value as an organisation. Boston Hale is an equal opportunities employer, and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability, or any other status protected by law.

Contract Senior Electronics / Firmware Engineer – Sensor ExpertiseRate: £400–£425 per day + VAT IR35 Status: Outside IR35 Location: Greater London (3-4 days on site per week min)Contract Length: 3–6 months, with potential extension We’re working with an innovative technology business at the forefront of advanced sensing solutions, seeking a Senior Electronics / Firmware Engineer to support the development of next-generation products. This is an opportunity to join a highly collaborative, multidisciplinary team delivering cutting-edge solutions with real-world impact. In this role, you’ll take ownership of sensor characterisation and optimisation, with a particular focus on humidity and temperature sensing technologies. You’ll play a key part in refining performance, reliability, and integration within sophisticated systems, contributing directly to product development from concept through to validation. This is a hands-on engineering role suited to someone who enjoys solving complex technical challenges and working closely with hardware, software, and mechanical engineers in a fast-paced R&D environment.Key Responsibilities • Characterise, test, and optimise sensor performance, particularly metal oxide and electrochemical sensors, • Design, develop, and iterate electronic circuits and PCB layouts, • Support firmware development for hardware interfacing and system integration, • Collaborate cross-functionally to ensure seamless integration across electronics, firmware, and mechanical components, • Contribute to prototyping, validation, and performance tuning of advanced sensing systemsCore Skills & Experience, • Strong background in electronic engineering, including PCB design and development, • Experience working with electrochemical or metal oxide sensors, • Solid embedded firmware capability (not necessarily specialist level), including:, • Hardware interfacing, • Communication protocols (e.g. LoRaWAN or similar), • Proven experience taking products from development through to testing or deploymentHighly Desirable, • Experience working with volatile organic compounds (VOCs), • Knowledge of air sampling systems or environmental sensing, • Background in healthcare, life sciences, or medical device developmentWhy Apply?, • Work on cutting-edge sensing technologies with meaningful real-world applications, • Join a highly skilled, multidisciplinary team in a collaborative environment, • Opportunity to make a tangible impact on product performance and innovation, • Flexible working arrangements and a strong likelihood of contract extension

Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. What you will be part of Saab is a leading defence and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defence capability of several nations. The Role: This position will be working on new customer implementations or new product delivery projects, with accountability for testing across the full project lifecycle. Project Test Leadership • Provide overall test oversight for assigned delivery projects, • Define and implement the project test strategy aligned to delivery timelines and milestones, • Create and maintain test plans for all phases (e.g. SIT, FAT, SAT, UAT, BCDR), • Produce and manage test schedules, • Ensure testing is integrated throughout the delivery lifecycle and not treated as a standalone phase Early Lifecycle Involvement • Engage from the requirements stage onwards, ensuring features are clearly defined, testable and aligned to user and operational needs, • Review and challenge requirements and designs to identify gaps, ambiguity and risks early, • Ensure key non-functional requirements (e.g. performance, usability, resilience) are considered before development begins, • Feed identified risks, dependencies and constraints into project planning Test Environment & Readiness • Define test environment requirements for each phase, • Plan and lead Test Readiness Reviews (TRR) and Test Wash-Up Reviews (TWR) Test Delivery Oversight • Oversee and support test script creation at both project level and sprint/feature level, • Oversee test execution across all phases, including testing during development, • Ensure regression testing is maintained and executed regularly throughout delivery Defect & Quality Management • Coordinate defect management across all test phases, • Track and report on progress, including completion, status and velocity Reporting & Closure • Produce test phase closure reports with a clear view of quality and risks, • Provide stakeholders with confidence in system readiness for release By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.

PRODUCT ANALYST £400-£500 PER DAY OUTSIDE IR35 REMOTE (MUST BE UK BASED) 3 MONTH CONTRACT THE COMPANY: This business is undergoing a major shift in how it uses data - moving from strong reporting foundations to a more insight-led, strategic analytics function. With significant investment in growth and product, they are focused on better understanding member behaviour, engagement, and retention. THE ROLE: As a Product Analyst, your focus will be on focused on answering the "so what?"- you'll be expected to influence decisions and help shape product direction. Your responsibilities will include: • Owning end-to-end experimentation for product features-from hypothesis creation through to analysis and recommendations, • Defining and implementing product metrics to measure success and user behaviour, • Analysing member engagement and transaction behaviour to inform product strategy, • Translating complex data into clear insights and actionable recommendations for stakeholders, • Supporting the development of a robust measurement framework for new and existing features YOUR SKILLS AND EXPERIENCE: • Strong experience in product analytics and experimentation (A/B testing, hypothesis design, statistical analysis), • Advanced SQL skills and experience working end-to-end with data, • Experience with dbt and visualisation tools (e.g. Looker, Lightdash, or similar), • Strong understanding of product metrics, user behaviour, and engagement analysis, • Ability to communicate insights clearly to non-technical stakeholders and influence decision-making, • Experience in digital, marketplace, or consumer-facing environments is highly desirable

Solutions AI EngineerLondon hybrid (3 to 4 days per week in London) | £65,000 to £90,000 plus benefits This is a chance to join a growing AI product business where solutions are built for real-world use, not experimentation. You will sit at the intersection of engineering and client delivery, shaping how generative AI is deployed in complex, regulated environments. The role offers meaningful ownership, exposure to senior stakeholders, and the opportunity to see your work used as critical production infrastructure. The Company They are an AI software company that has evolved from bespoke consultancy into a product-led organisation. Their generative AI platform is used by professional services firms to automate structured, document-heavy workflows in highly regulated sectors. The Role • Work directly with end users to understand requirements and design AI-driven workflow solutions, • Build, configure, and maintain production-grade generative AI features alongside software engineers, • Deliver bespoke proofs of concept that often progress into live product functionality, • Support commercial activity through tailored demos and client-facing solution walkthroughs, • Strong commercial experience using Python in applied AI or machine learning contexts, • Proven delivery of end-to-end AI solutions such as RAG systems, LLM-powered applications, or agent-based workflows, • Experience working closely with clients or end users, translating real requirements into technical solutions, • Solid software engineering fundamentals, including maintainable code, testing, and collaboration with engineering teams, • Practical knowledge of prompt engineering, RAG pipelines, agent workflows, and model evaluation, • Familiarity with modern GenAI tooling such as LangChain, LangGraph, or similar frameworks, • Salary between £65,000 and £90,000 depending on level, plus benefits, • Hybrid working with a strong in-office culture based in central London, • The opportunity to work on production AI systems used in regulated industries Apply now to explore how this Solutions AI Engineer role could be the next step in your career.

Senior Systems Engineer Location: North LondonEmployment Type: Full-time About the Role We are seeking a Senior Systems Engineer to join a dynamic team working on innovative technology projects. This role covers the full systems engineering lifecycle—from concept through to delivery and acceptance. You’ll collaborate across multiple disciplines and contribute to the design, integration, and testing of complex systems. Key Responsibilities • Participate in all phases of the systems engineering lifecycle., • Design, integrate, and test systems across software, mechanical, and electrical domains., • Produce accurate technical documentation, specifications, and reports., • Provide mentoring support to junior colleagues., • Engage with customers and stakeholders in a professional, customer-facing capacity., • Degree in Engineering, Mathematics, or Physics (or equivalent experience)., • Proven experience in systems design, integration, and test., • Strong understanding of product lifecycles from concept to delivery., • Excellent communication and interpersonal skills., • Knowledge of radar or radio systems., • Familiarity with communications protocols (RS485, RS232, TCP-IP, CANBus)., • Experience with external verification standards (MIL STD, Def Stan, IEC)., • Hands-on experience with test equipment and fault-finding., • Adaptable, resourceful, and proactive., • Strong problem-solving skills and attention to detail., • Effective time management and presentation skills.

Lead Product AnalystLondon - hybrid 3x a week Up to £100,000 + equity This is a high impact Lead Product Analyst role where you will shape how data drives product and customer experiences within a fast-paced, product-led technology business. With a strong focus on personalisation and experimentation, this role offers the chance to influence core commercial outcomes while working on a rapidly scaling international portfolio. The Company They are a well-established, data driven fintech operating a multi-product consumer app across lending and financial services. Known for their strong analytical culture, they have been profitable for several years and continue to grow at pace, including significant expansion into the US market. Data sits at the centre of decision making, with analytics embedded closely alongside product, engineering and growth teams. The Role You will operate as a senior individual contributor within the product analytics function, owning insight across key customer journeys and driving measurable impact. • Lead product analytics for a consumer app, focusing on personalisation and customer relevance, • Use data to determine the right product, message or experience to show each user at the right time, • Partner closely with product managers, engineers and data scientists in a cross functional, pod based environment, • Drive experimentation through robust AB testing and funnel analysis to improve conversion and engagement, • Support recommendation systems and propensity models to predict customer behaviour and purchase likelihood, • Analyse customer journeys, drop offs and lifecycle behaviour to optimise in app and push notification experiences, • Strong experience in product or growth analytics within consumer facing digital products, • Advanced SQL and strong Python skills, with Python central to day to day analysis, • Proven experience with experimentation, AB testing and causal analysis, • Exposure to propensity modelling or recommendation based use cases, • A commercial mindset with the ability to link analysis to business outcomes, • Experience working closely with product and engineering teams in agile environments, • Salary up to £100,000, • Equity participation, • Hybrid working with three days per week in the London office, • A highly visible role with real ownership and influence over product direction

NetSuite Administrator | Hyper-Growth Retail Business | Temp-to-Perm Harmonic is delighted to be working exclusively with one of the UK's fastest-growing Retail/Ecommerce businesses in their search for a NetSuite Administrator to join the team during an exciting period of scale. This role can be offered on an initial contract basis with strong potential to transition into a permanent position. The Client Our client has successfully scaled at approximately 60% year-on-year for the past 7 years and now operates with a headcount of circa 100 and turnover of £60m. They've established themselves as a true outlier within their niche product category, combining strong commercial performance with an ambitious growth strategy. Reporting into a high-calibre CFO with a proven track record of developing high-performing teams, the business offers a sociable, collaborative, and fast-paced working environment. The culture is dynamic and values-driven, with a clear focus on building scalable infrastructure to support continued expansion. As part of this journey, they are now looking for a NetSuite Administrator to take ownership of the system, ensuring it is optimised, scalable, and aligned with the needs of Finance, Operations, and the wider business. The Role This is a hands-on, business-critical position where you will act as the internal NetSuite expert, owning the day-to-day administration, configuration, and continuous improvement of the system. You will work closely with Finance, Operations, and Data teams to ensure NetSuite delivers accurate, reliable data and supports efficient processes as the company scales. Duties • Act as the key internal owner and expert for NetSuite across the business, • Manage day-to-day administration including workflows, saved searches, reports, dashboards, roles, permissions, and system controls, • Provide ongoing support to Finance and Operations teams, troubleshooting issues and improving system usability, • Support ongoing system enhancements, implementations, and integrations, • Lead testing cycles (UAT, regression testing) and coordinate system changes to ensure smooth deployment, • Drive continuous improvement of NetSuite configuration and processes to reduce inefficiencies, • Own data integrity within NetSuite, proactively identifying and resolving data quality issues, • Act as a key liaison between Finance, Operations, and Data teams to ensure consistency and accuracy of information, • Support downstream data and reporting requirements, ensuring NetSuite data is structured for effective analytics, • Contribute to broader transformation and systems-related projects alongside the CFO What We Need to See (Essential Experience) • 2-5 years' hands-on NetSuite administration or power user experience, • Strong experience with saved searches, workflows, and roles/permissions, • Background in Retail, Ecommerce, or stock-heavy environments, • Strong understanding of finance processes and operational workflows, • Excellent communication skills, with the ability to work cross-functionally, • A detail-oriented mindset with a strong focus on data accuracy and system integrity, • Ability to take ownership and implement changes independently Bonus Experience (Not Essential) • Exposure to integrations, APIs, or data pipelines, • Experience working with data/analytics teams or platforms, • Familiarity with NetSuite implementations or transformation projects Day Rate: £350-400 per day Start Date: ASAP Location: Central London (Hybrid) If this opportunity is of interest, please apply online or get in touch at At Harmonic, we are dedicated to fostering an inclusive and equitable workplace. We actively welcome applications from individuals of all backgrounds and assure you that every candidate will be thoughtfully considered for the roles we represent, without regard to race, religion, gender expression, disability, or sexual orientation.

Senior Analogue IC Design Engineer London, Hybrid Working (2 Days Per Week on Site Near Fenchurch Street Station) £70,000 - £90,000 + BenefitsExcellent opportunity for a Senior Analogue IC Design Engineer to join an advanced semiconductor company developing next-generation memory devices and highly innovative chip technology.This company are an ambitious engineering-led business operating in a niche, high-growth area of the semiconductor market. They offer the chance to work on technically challenging products in a collaborative team where experienced engineers can make real impact.In this role you will lead analogue IC design activities across new product development programmes. You will work on core mixed-signal circuitry, support silicon validation, and collaborate closely with layout, digital and device engineering teams.The ideal candidate will have 7+ years of analogue IC design experience, strong mixed-signal expertise, and proven experience designing DAC and ADC circuits. Candidates from semiconductor, ASIC or IC environments are highly desirable.This is a fantastic opportunity for a senior engineer seeking technically interesting work, ownership, and the chance to help shape future semiconductor products.The Role: • Lead analogue IC design for advanced semiconductor products, • Design and develop DAC and ADC circuitry, • Simulation, modelling and circuit optimisation, • Work closely with digital, layout and device teams, • 7+ years' experience in analogue / mixed-signal IC design, • Strong DAC and ADC design experience, • Semiconductor / ASIC / IC product development background, • Experience with industry EDA tools such as Cadence Design Systems or Synopsys The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

Tradesperson - London (Job Ref: 26/TPLD) Randox Health continues to be at the forefront of clinical diagnostics, dedicated to improving health worldwide with our disruptive technology and innovative diagnostic solutions. Our staff are at the heart of everything we do and achieve. With our ever increasing number of new clinics opening on the high street across the UK and Ireland, we require several new staff members to join our Facilities team. We have an exciting new career opportunity for a Tradesperson to join our Facilities team. Location: Home based in the Greater London area, with regular travel required to Randox sites, mainly across London and the South of England. Some travel to other parts of the UK and Ireland will be required on some occasions. Contract Offered: Full-time, Permanent Working Hours: 40 hours per week, Monday to Friday from 08.40 to 17.20. Some flexibility may be required. What does this role involve? This role will be responsible for providing efficient, high-quality maintenance and minor repair services across buildings and facilities, ensuring a safe, functional, and well-maintained environment for occupants and visitors. Key duties of the role will include: • Carry out day-to-day maintenance and minor repair works across multiple trades., • Undertake basic plumbing, joinery, painting, decorating, and general building repairs., • Repair or replace fixtures and fittings (doors, locks, hinges, shelving, signage, etc.)., • Carry out minor electrical tasks where permitted (e.g. changing light fittings)., • Respond to reactive maintenance requests in a timely manner., • Assist with planned preventative maintenance tasks., • Identify and report defects requiring specialist contractor intervention., • Ensure compliance with all health & safety regulations and safe systems of work., • Maintain accurate records of work completed., • Keep tools, stores, and work areas tidy and safe., • Provide courteous and professional customer service to staff, tenants, or clients., • Travel regularly to different existing and new Randox sites throughout the UK and Ireland. Who can apply? Essential Criteria: • Proven experience in a trade, caretaker, maintenance, or similar role., • Good practical knowledge across multiple trades (e.g. basic plumbing, joinery, decorating)., • Ability to safely use hand tools and power tools., • Understanding of health & safety practices in a maintenance environment., • Ability to carry out work independently with minimal supervision., • Good problem-solving and organisational skills., • Strong communication and customer service skills., • Physical ability to carry out manual tasks., • CSCS card., • Full UK driving licence., • Flexibility to travel regularly throughout the UK and Ireland. Desirable Criteria: • Relevant trade qualification(s) or vocational training (e.g. NVQ Level 2)., • Experience working in facilities management, housing, schools, or healthcare settings., • Basic electrical or plumbing certification., • Knowledge of legionella awareness or asbestos awareness., • Experience using maintenance request or CAFM systems., • Experience supervising contractors or apprentices., • Additional trade skills (e.g. tiling, patch plastering, basic flooring). How do I apply? Click "Apply" on the site you are viewing this advert on to submit your CV to Randox for review. This advert may remain open for up to 30 days but may close earlier if sufficient applications are received to fill the role. We look forward to hearing from you! About Randox: An international company operating in over 145 countries that continues to have unparalleled growth, Randox Laboratories was at the centre of the UK’s National COVID Testing Programme throughout the pandemic. In early 2020 Randox recognised the threat from COVID-19 and, based on over 40 years of diagnostic experience, quickly developed a test to accurately identify the virus. Testing at scale commenced within weeks to support the UK’s National Testing Programme and private clients alike. Additionally, as a world leader in diagnostics for clinical healthcare, toxicology and food security, our expertise and product portfolio have assisted laboratories across the world in improving health and saving lives. Our global success is a result of our pioneering products and the commitment & skill of our workforce, which continue to grow exponentially. Central to the Randox ethos is our drive and determination to improve healthcare worldwide and every one of our talented staff play a role in this. In order to serve our growing international markets, we require high calibre applicants with scientific, engineering, software, and broader business skills – including sales, marketing, logistics, finance and many more. Join the Randox team and play your part in improving the health of millions. Randox Laboratories Limited is an Equal Opportunities Employer.

.NET Performance Engineer- Global tech. company - UK - remote - £65 - 72k Excellent opportunity to join a new team, owning the runtime health and throughput characteristics of the platform. This is a specialist contributor role — you won't be building feature logic, you'll be ensuring the systems that run it do so efficiently, reliably, and at scale. Skills/experience • AI development experience - usage of AI tools (Claude, CoPilot, ChatGPT), • 4-5+ years of .NET / C# development with a demonstrable specialism in performance engineering, • Deep, hands-on experience with .NET profiling tools — dotMemory, dotTrace, PerfView, Visual Studio Diagnostic Tools, or equivalent, • Strong understanding of .NET memory management internals — GC generations, LOH, pinned objects, finalisation, and how allocation patterns affect runtime behaviour, • Experience optimising high-throughput data processing pipelines — including async/await patterns, Channel, pipelines, and avoiding synchronisation bottlenecks, • Proven ability to diagnose large dataset query performance issues across both relational (SQL) and document databases, including index analysis and query plan interpretation, • Familiarity with ETW, EventPipe, and diagnostics tooling (dotnet-trace, dotnet-counters, dotnet-dump) Duties: • Profile, diagnose, and resolve performance bottlenecks across .NET services — from GC pressure and memory leaks to thread contention and I/O saturation, • Own memory management strategy across long-running services — heap allocation patterns, LOH fragmentation, finaliser queues, and GC tuning (gen0/1/2, server vs. workstation, DATAS), • Investigate and optimise high-throughput data pipelines — batch processing, streaming patterns, buffer management, and backpressure handling, • Identify and resolve large dataset query performance issues — index utilisation, query plan analysis, pagination strategies, and aggregation efficiency across both relational and document databases, • Establish and maintain performance benchmarking infrastructure using BenchmarkDotNet and load testing tooling — define baselines, track regressions, and gate releases on performance criteria, • Conduct performance-focused code reviews — identify allocations, boxing, closure captures, LINQ misuse, and other common .NET performance anti-patterns, • Collaborate with product engineers to surface performance constraints early in design, without blocking feature delivery, • Produce clear diagnostics and findings documentation that non-specialists can act on Excellent company, team and opportunities, apply now!!

Junior Automation QA Engineer London (Tuesday to Thursday in office) | 12 month initial contract | £130-150pd PAYE Our Global client is looking for a Junior Automation QA Engineer to join their QA automation team. You'll work alongside an established group of engineers focused on expanding and improving the existing automation framework and increasing overall test coverage across key products. This is a hands-on automation role where you'll be working within an existing custom Python-based framework, helping to build, maintain and enhance automated test suites that directly support product quality at scale. You'll need to be comfortable communicating clearly, thinking logically under pressure and writing code that others can understand and build upon. What You'll Be Doing: • Expanding and improving an existing Python-based automation framework, • Developing and maintaining automated test cases and scripts, • Analysing and debugging data flows using tools such as proxy tools, • Writing clear bug reports and communicating issues effectively, • Collaborating closely with engineers and QA peers to improve coverage and quality, • Some prior QA automation experience (professional or strong academic/personal projects), • Python coding ability (essential) - comfortable reading, understanding and writing basic to intermediate scripts, • Strong interest in automation, testing and software quality, • Ability to troubleshoot, think logically and explain your reasoning clearly, • Strong communication skills, especially when reporting bugs or explaining technical issues

Junior BIM Operator Location: Whitechapel, Central London. Hours: 9am - 5.30pm, Monday - Friday Salary: Up to £32,000 dependent on experience. Holiday: 31 Days annual leave, including bank holidays. Sector: Infrastructure, Construction, Communications and Networks, IT Our client is a specialist provider of structured cabling, fibre optic installations, and network infrastructure solutions for commercial and industrial clients. The company supports projects ranging from new builds to refurbishments, delivering end-to-end services including design, installation, testing, and maintenance. It is focused on providing reliable, high-quality connectivity solutions that support modern IT and communications networks. They are now looking to recruit a junior BIM operator, providing design support to the team. Working within the Project Support Office, you will be assisting with the production and management of CAD/BIM drawings and technical documentation for structured cabling projects, ensuring all information is accurate, up to date, and fully approved. This also includes supporting project managers and design teams with tender returns, as-built records, and coordination across contractors and stakeholders throughout the project lifecycle. Position Duties • Working within the Project Support Office (PSO), your main responsibility will be to assist with the production and management of drawings for structured cabling and technical projects in an efficient and professional manner., • You will support Project Managers and the Design & Estimating team with daily tender submissions and operational tasks., • You will work closely with the Operations team to help manage all drawing outputs, including bid returns and as-built records, ensuring all project documentation is fully checked, validated, and approved., • You will also support both Operations and Design & Estimating teams by managing CAD and BIM drawing production, while assisting Project Managers throughout the full project lifecycle., • You will be expected to attend and work from our project sites and to assist with onsite drawing requirements., • You will be required to access and download drawings and project files from client and main contractor document control systems, ensuring the most up-to-date information is always used across projects., • You will assist with the management of main contractor online document control platforms., • You will support the preparation and maintenance of project documentation, including as-built records., • You will work alongside the PSO team, Project Managers, and others to assist with pre-start drawing submissions and post-completion operation manual collation., • Relevant industry experience and/or Qualifications in the built environment, CAD or BIM design, • Knowledge of network infrastructure and cabling is essential, either in a commercial or industrial field., • Strong ability to add value by developing and maintaining strong working relationships with main contractors, consultants, and direct end-user clients., • Commercial awareness/knowledge to understand and review tender documentation, mechanical drawing packages, extracting and interpreting key project information., • Ability to produce detailed CAD, BIM, and Excel drawings covering structured cabling systems, including horizontal and vertical backbone infrastructure, equipment rooms, containment, and associated product data, with additional training provided as needed while working collaboratively as part of a team., • You will also be expected to attend manufacturer-led and other specialist training courses from time to time to support your ongoing development., • Salary up to £32,000 depending on experience, • Regular working hours, 9am - 5.30pm, Monday to Friday, • Great annual leave allowance of 23 days, increasing 1 day per year of service up to 25 days, plus 8 bank holidays., • Performance based company bonus scheme, • Company pension scheme Streamline Search is a technical recruitment agency based in Chichester, West Sussex operating across the United Kingdom. We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying to this post you are granting us consent to process your data and contact you in relation to this application.

Dynamics 365 CE Product Manager Sector Experience Required: Financial Services, Insurance, Real Estate, or LegalSalary: £65,000Experience: 5+ YearsLocation: Remote (UK)Bonus Skills: ACRE / OMS experience We are seeking an experienced Dynamics 365 CE Product Manager to lead the continuous enhancement, optimisation, and strategic development of our CRM capabilities. This role is ideal for someone who combines strong product ownership skills with hands-on experience delivering improvements within regulated or process-driven environments such as Financial Services, Insurance, Real Estate, or Legal. You will work closely with cross-functional teams to gather requirements, prioritise product features, and deliver high-impact solutions that align with business goals. The ideal candidate brings a balance of strategic thinking and practical execution, with a strong understanding of Dynamics 365 CE and its role in supporting business operations. Key Responsibilities * Own the product roadmap for Dynamics 365 CE, ensuring continuous improvement and alignment with business objectives * Collaborate with stakeholders across the organisation to gather, analyse, and translate requirements into actionable product features * Lead enhancements, upgrades, and optimisation initiatives across the D365 CE platform * Work closely with technical teams to ensure successful delivery, testing, and deployment of new features * Support user adoption through training, documentation, and ongoing engagement * Apply agile methodologies to manage backlog, prioritisation, and iterative delivery Required Experience * 5+ years' experience in Product Management, Business Analysis, or similar roles within the Financial, Insurance, Real Estate, or Legal sectors * Proven track record managing Dynamics 365 CE implementations, enhancements, or upgrades * Strong analytical skills with the ability to interpret complex business requirements * Excellent communication and stakeholder-management skills * Familiarity with agile delivery frameworks and the full product development lifecycle Highly Desirable * ACRE or OMS experience (significant advantage) What We Offer * £65,000 salary * Fully remote working environment with flexibility * Opportunity to shape and influence a key business platform * Supportive team culture with room for professional growth If you're a proactive Product Manager with deep Dynamics 365 CE experience and a background in regulated or process-driven industries, we'd love to hear from you

Job Title: Product Analyst - CPaaS / Platform Migration Contract: 6 months (Extension Possible) Rate: £300-£350 per day (Outside IR35) Location: Fully Remote (UK based) We're looking for an experienced Product Analyst to support a high-impact platform migration programme, focused on increasing customer upgrade volumes from a legacy CPaaS platform to a new Connect platform. This role plays a key part in unlocking blocked customer cohorts by identifying feature gaps, shaping requirements, and ensuring new releases directly enable safe and scalable customer migrations. Key Responsibilities • Gap Analysis: Perform detailed comparisons between existing CPaaS functionality and the new Connect platform to identify feature gaps preventing customer migration., • Cohort Prioritisation: Analyse customer and usage data to determine which missing features are blocking the largest customer cohorts, enabling prioritisation of high-impact development., • Requirements Definition: Translate the needs of the Upgrades team into clear, actionable technical user stories for engineering teams., • Stakeholder Collaboration: Work closely with Product, Engineering, and Upgrades teams to align delivery with migration targets., • Acceptance Testing: Validate that newly released features work as required for legacy data types and meet the criteria needed to migrate existing customers safely. Experience Required • Proven experience as a Product Analyst (or similar) in a SaaS, CPaaS, or platform-based environment, • Strong background in gap analysis, requirements definition, and user story creation, • Experience working closely with engineering teams in agile environments, • Data-driven mindset with the ability to prioritise work based on customer and commercial impact, • Comfortable validating and acceptance testing complex platform features This is an excellent opportunity to join a fully remote team and contribute to a critical migration initiative with real, measurable impact.

Engineering Manager (Web) We're recruiting an Engineering Manager (Web) to join a well-known, consumer-focused organisation operating at scale across multiple markets. This role sits at the heart of a digital product environment, leading web engineering teams responsible for customer-facing platforms used by millions. You'll combine strong people leadership with technical credibility, working closely with Product, Design, and Commercial stakeholders to deliver high-quality, user-focused web experiences.What You'll Be Doing • Lead and grow one or more web-focused engineering teams, • Own delivery of key customer-facing web platforms (frontend-heavy, some full-stack), • Partner with Product Managers to shape roadmaps and priorities, • Balance delivery, technical quality, and long-term maintainability, • Create an environment where engineers can do their best work, • Support architectural decisions and platform evolution, • Oversee modern engineering practices (CI/CD, testing, performance, security), • Proven experience as an Engineering Manager or similar role, • Background in web engineering (React, JavaScript/TypeScript, modern frameworks), • Experience with CMS (content management systems platform), • Experience of building teams from ground up, • Experience leading product-led, cross-functional teams, • Strong understanding of web architecture, APIs, and cloud-based systems, • Comfortable operating in customer-facing, high-traffic environments, • Hands on approach to coding., • Experience with cloud platforms (e.g. Azure / AWS), • Exposure to CMS platforms, • Experience in subscription based, membership based, consumer digital products Please note you will receive an automated response advising you that we have received your CV. Morgan Philips Group is a global talent solutions business that disrupts conventional thinking in executive search, recruitment and talent consulting. We operate in over 18 markets in Europe, North & South America, Asia, and the Middle East & Africa. We understand that the future is digital and social, so we embrace the latest technology, including video ads and CVs, as well as social recruiting. Our innovative services are tailored to the new world of work yet we do not lose sight of the fact that employees be they existing and potential are ultimately human beings. We are committed to ensuring that all job applicants are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

Ready to work at the intersection of embedded systems, audio processing, and AI in a true 01 product environment? We’re an early-stage, well-funded technology company building a next-generation intelligent hardware product, combining edge devices with cloud-based AI. Backed by experienced founders with a strong track record of building and scaling successful companies, this is a rare opportunity to shape a product from the ground up. Audio is a critical part of the product roadmap — with significant potential to unlock deeper data intelligence than traditional video-based systems — and we’re looking for an engineer to take ownership of this space end-to-end. Why Join • Work on a greenfield product at an early stage, • Own a core product pillar (audio + AI) from day one, • Collaborate across embedded, cloud, and ML teams, • High autonomy in a low-ego, high-performance environment, • Competitive salary + equity, • Strong long-term growth and learning opportunities The Role You’ll take full ownership of the audio subsystem, spanning real-time embedded processing through to cloud-based audio pipelines and ML integration. This role sits between embedded engineering and backend/AI — ideal for someone who enjoys both low-level systems and higher-level software. Key Responsibilities • Design and build end-to-end audio pipelines (edge cloud), • Implement and optimise DSP components (e.g. filtering, noise suppression, VAD), • Develop audio processing systems under real-time and resource constraints, • Build tools for analysis, testing, and performance evaluation, • Collaborate with ML engineers to enable audio-driven intelligence, • Debug and improve system performance across the full stack About You • 0-3 years’ experience in software engineering, embedded systems, or audio/ML, • Coding skills (C/C++ and/or Python), • Understanding of audio processing / DSP fundamentals, • Interest or experience in Audio ML, signal processing, or real-time systems, • Comfortable working across hardware and software boundaries, • Strong problem-solving ability and curiosity Nice to Have • Experience with audio codecs, streaming, or real-time systems, • Exposure to PyTorch / TensorFlow or ML pipelines, • Familiarity with cloud platforms (AWS or similar), • Competitive salary (flexible based on experience) + equity, • Visa sponsorship available (international candidates welcome), • In-person, highly collaborative working environment, • Opportunity to shape a core product capability in a scaling startup Apply Now If you’re excited by building real-world systems at the intersection of audio, embedded engineering, and AI, we’d love to hear from you. Keywords: Audio Engineer, DSP Engineer, Embedded Software Engineer, Audio ML Engineer, Signal Processing Engineer, Edge AI Engineer

Plumber - London (Job Ref: 26/PMLD) Randox Health continues to be at the forefront of clinical diagnostics, dedicated to improving health worldwide with our disruptive technology and innovative diagnostic solutions. Our staff are at the heart of everything we do and achieve. With our ever increasing number of new clinics opening on the high street across the UK and Ireland, we require several new staff members to join our Facilities team. We have exciting new career opportunities for Plumbers to join our Facilities team. Location: Home based in the Greater London area, with regular travel required to Randox sites, mainly across London and the South of England. Some travel to other parts of the UK and Ireland will be required on some occasions. Contract Offered: Full-time, Permanent Working Hours: 40 hours per week, Monday to Friday from 08.40 to 17.20. Some flexibility may be required. What does this role involve? This role will be responsible for the installation, maintenance, repair, and testing of plumbing systems and associated equipment. The role will ensure plumbing works are carried out safely, efficiently, and in compliance with relevant regulations and standards. Key duties of the role will include: • Install, maintain, and repair hot and cold-water systems, heating systems, and drainage., • Diagnose faults and carry out effective repairs to plumbing systems., • Install sanitary ware, pipework, valves, traps, and appliances., • Carry out planned and reactive maintenance tasks., • Ensure all work complies with current health & safety legislation and building regulations., • Conduct inspections, pressure testing, and commissioning of systems., • Complete job reports, maintenance logs, and documentation accurately., • Liaise professionally with colleagues, contractors, and customers., • Maintain tools, equipment, and work areas in a safe and tidy condition., • Participate in on-call or emergency call-out rotas where required., • Travel regularly to different existing and new Randox sites throughout the UK and Ireland. Who can apply? Essential Criteria: • NVQ Level 2 or 3 (or equivalent) in Plumbing or Plumbing & Heating., • Proven experience working as a plumber in domestic, commercial, or industrial environments., • Sound knowledge of plumbing systems, materials, and installation techniques., • Understanding of UK water regulations and health & safety requirements., • Ability to read and interpret drawings and technical specifications., • Strong problem-solving and fault-finding skills., • Good communication and customer service skills., • Ability to work independently and as part of a team., • Relevant CSCS card., • Full UK driving licence., • Flexibility to travel regularly throughout the UK and Ireland. Desirable Criteria: • Gas Safe registration (ACS qualifications)., • Experience working in facilities management or public-sector buildings., • Knowledge of heating systems (e.g. boilers, heat pumps, underfloor heating)., • Legionella awareness or water hygiene training., • Experience using CAFM or maintenance management systems., • Experience supervising apprentices or junior staff., • Additional trade skills (e.g. basic electrical, tiling, or joinery). How do I apply? Click "Apply" on the site you are viewing this advert on to submit your CV to Randox for review. This advert may remain open for up to 30 days but may close earlier if sufficient applications are received to fill the role. We look forward to hearing from you! About Randox: An international company operating in over 145 countries that continues to have unparalleled growth, Randox Laboratories was at the centre of the UK’s National COVID Testing Programme throughout the pandemic. In early 2020 Randox recognised the threat from COVID-19 and, based on over 40 years of diagnostic experience, quickly developed a test to accurately identify the virus. Testing at scale commenced within weeks to support the UK’s National Testing Programme and private clients alike. Additionally, as a world leader in diagnostics for clinical healthcare, toxicology and food security, our expertise and product portfolio have assisted laboratories across the world in improving health and saving lives. Our global success is a result of our pioneering products and the commitment & skill of our workforce, which continue to grow exponentially. Central to the Randox ethos is our drive and determination to improve healthcare worldwide and every one of our talented staff play a role in this. In order to serve our growing international markets, we require high calibre applicants with scientific, engineering, software, and broader business skills – including sales, marketing, logistics, finance and many more. Join the Randox team and play your part in improving the health of millions. Randox Laboratories Limited is an Equal Opportunities Employer.

Job Title: Senior RF EngineerLocation: North LondonSalary: Competitive Salary + BenefitsSchedule: Monday to FridayThe CompanyOur client, a highly respected engineering and technology business operating within advanced surveillance and radar systems, is seeking an experienced Senior RF Engineer to join their growing team in North London.This is an excellent opportunity for an RF / Microwave specialist to play a key role in the development of cutting-edge products within a technically advanced and highly regulated environment. You will take ownership of meaningful engineering work packages, supporting the full product lifecycle from concept and design through to testing, manufacture, and continuous improvement.The OpportunityAs Senior RF Engineer, you will be responsible for the design, development, and support of RF / Microwave modules and antenna systems, whilst acting as a technical specialist across the wider engineering function.You will work closely with internal engineering teams, manufacturing, supply chain, quality, and external suppliers to ensure products are delivered to the highest technical and commercial standards.Key Responsibilities· Lead RF and antenna development projects, both internally and through external partners· Design, develop, and improve RF / Microwave modules and antenna systems· Support product enhancements, redesigns, and obsolescence management activity· Produce and manage technical requirements, specifications, verification, and validation plans· Provide technical support to manufacturing, quality, supply chain, suppliers, and customers· Support production test systems and resolve technical issues during manufacture· Conduct root cause analysis, fault finding, and performance trend analysis· Ensure engineering procedures, quality standards, and documentation are maintained· Generate cost estimates, schedules, and manage small technical work packages· Contribute technical expertise across wider engineering and systems projects.What We’re Looking ForEssential Experience· Strong background in RF / Microwave engineering.· PCB design at microwave frequencies.· RF component knowledge including amplifiers, filters, mixers, PLLs, LNAs, circulators, limiters etc· RF system design and cascade analysis· Hands-on experience using RF test equipment such as:· Spectrum Analysers· Vector Network Analysers· Strong understanding of antenna theory, design, and testing, including array antennas.· Experience with design for manufacture and design for test principles.· Exposure to manufacturing environments such as SMT production.· Strong communication skills and collaborative working style.Desirable Experience· Altium PCB design software· RF modelling / simulation tools· Radar, defence, communications, or related sectors· Digital electronics or power supply knowledge· Systems engineering / requirements management· Test automation using MATLAB or Python· EMC knowledge· Regulatory standards such as FCC / ETSI / ITUWhy Apply?This is an excellent opportunity to be involved in the development of genuinely advanced, market-leading technology products within a highly respected engineering environment. You will be joining a well-established and growing business with a strong reputation for innovation and technical excellence.The role offers the chance to make a real impact on product development, continuous improvement, and future innovation, whilst gaining broad exposure across research and development, manufacturing, testing, and customer-facing engineering activity.For the right individual, there are strong long-term career prospects within a stable organisation that values technical expertise and professional growth.If this opportunity is of interest, please click apply today and a member of our team will be in touch soon your discuss your application further.All applications will be managed in the strictest confidence.

Python Developer - Insurance Analytics Location - London with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week). LCP is an award-winning actuarial and analytics consultancy providing market-leading capabilities and advice across pensions and financial services, energy, health, and analytics. We use powerful analytics fused with human expertise to shape a more positive future. We have an exciting opportunity to join our Insurance Analytics team as a Python Developer. You will play a leading role in the continued development of InsurSight, our award-winning SaaS platform. InsurSight was launched in April 2020 and is currently used to assess over £200bn of non-life insurance business. We are expanding the team to help us support our expanding client base whilst delivering our exciting plans to develop the platform further. You’ll work within our backend team to help shape the direction of how we use Python within InsurSight, focussing on feature development, performance, maintainability, and tighter integration of our C# and Python backend codebases. You will also support and mentor less experienced developers, conduct code reviews, and take ownership of key technical challenges - particularly where large datasets and performance bottlenecks are involved. Our team consists of: • 1 Product manager, • 4 C# developers, • 2 Python developers, • 1 Actuarial data scientist, • 2 Front end developers, • 1 DevOps and site reliability engineer Key Responsibilities: • Provide Python development expertise on new InsurSight features, ensuring performance, scalability and maintainability, • Help with further integration between our C# and Python codebases, rewriting or restructuring code where needed to reduce inefficiencies and improve cohesion, • Optimise performance of complex data and analytics workflows, including calculations on larger datasets (e.g. on 4GB+ datasets), • Review and provide feedback on code written by other developers, support mentoring and skill development across the team, • Champion best practices in software engineering including testing, version control, CI/CD, and OOP, • Collaborate with actuaries, analysts and data scientists to deliver technically robust, industry-relevant features, • Research and prototype new technologies to support innovation and continuous improvement, • Strong Python development experience, with a track record of writing production-grade, maintainable code, • Experience working with large datasets and performance-critical workloads, • Familiarity with Azure PaaS/SaaS tools (e.g. Azure Functions, Batch, Blob/Table/Queue Storage), and CosmosDB, • Comfort with software-engineering best practices: automated testing, version control, CI/CD, OOP, • Proactive, problem-solving mindset with a focus on performance and user experience, • Exposure to actuarial or non-life insurance analytics, or an interest in domain-rich environment What’s in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here! As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes: For you: • Hybrid working (see top of the advert for details), • Professional study support (where applicable), • Life assurance, • Income protection, • 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly!) with options to buy & sell holiday, • Private medical insurance, • Discounted gym memberships, critical illness and dental insurance through our flexible benefits, • Eye care vouchers, • Cycle to work scheme, • Competitive pension scheme, • Discretionary bonus scheme, • High street discounts We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application. This may be extra time for assessments, pre-interview site visits, interview structure or questions, or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - [email protected] to discuss how we can support you with your application. Recruitment agencies LCP operates a Preferred Supplier List (PSL) for recruitment agencies which is reviewed annually. We do not accept unsolicited CVs or candidate profiles from agencies who are not part of our current PSL. LCP only pay agency fees where we have a signed agreement in place, and the agency has been instructed by a member of our recruitment team to supply CVs via the Applicant Tracking System (ATS) for a legitimate, open vacancy. If this process is not adhered to, LCP reserve the ri

About the job Senior Software Engineer (Backend / Systems Design) We’re working with a well-established, private equity-backed technology business operating across multiple international markets. The company builds and delivers critical, high-availability systems within sectors that demand reliability, scalability and long-term performance. Following continued growth and system evolution, they are looking to strengthen their engineering team with a senior hire. This is a senior-level Software Engineer role focused on designing, building and evolving large-scale, high-capacity systems within a complex, distributed environment. The Role • Design and build scalable, event-driven and distributed systems, • Translate product requirements into robust technical solutions and architecture, • Contribute across the full development lifecycle: planning, design, implementation and optimisation, • Maintain a balance of ~70% hands-on coding and ~30% architecture, planning and collaboration, • Work closely with Product and Engineering teams to define and refine system requirements, • Ensure high standards across code quality, testing and maintainability, • Support and mentor other engineers, contributing to coding standards and best practices, • Participate in code reviews, technical discussions and continuous improvement initiatives, • Troubleshoot complex issues across the system lifecycle Tech Environment • Predominantly PHP, including legacy systems (KPHP) transitioning to Laravel, • Some C# exposure – not essential but beneficial, • Backend-focused, with rare occasional frontend interaction (non-UI heavy systems), • Event-driven architecture and distributed systems at scale What They’re Looking For • Strong fundamentals in software engineering and system design, • Experience building and scaling backend systems in complex environments, • Ability to design for performance, reliability and future scalability, • Comfortable working across legacy and modernising tech stacks, • Experience working with Product teams on requirements and planning, • Solid understanding of coding standards, testing (TDD beneficial), and software quality, • Mentoring or guiding other engineers, • Exposure to distributed systems or high-throughput environments, • Frontend experience is a bonus, not a requirement Salary & Benefits • £75,000 base salary, • 5% annual bonus, • Benefits package included Working Setup • Hybrid environment with flexibility (typically up to 3 days in office, though this varies in practice and can be less) Additional Notes • Strong emphasis on core engineering fundamentals over reliance on tooling such as AI, • Candidates should be pragmatic, collaborative and technically grounded

Electronic Design Layout Engineer London, Hybrid Working (2 Days Per Week on Site Near Fenchurch Street Station) £40,000 - £55,000 + BenefitsExcellent opportunity for a Layout Engineer to join an innovative semiconductor company working on next-generation memory technology, offering the chance to build your career in a highly specialist and growing sector.This company are a forward-thinking engineering business developing advanced low-power semiconductor solutions. With a strong technical team and exciting future plans, they offer a collaborative environment where engineers can gain hands-on experience on genuinely cutting-edge projects.In this role you will support layout and physical design activities across a range of semiconductor products. You will work closely with experienced engineers across analogue, digital and device teams, using industry-leading EDA tools to develop and optimise designs.The ideal candidate will have 1 to 2 years of industry experience within layout engineering, physical design, PCB layout or IC layout. Experience with EDA tools is essential, with exposure to semiconductor environments highly beneficial.This is a fantastic opportunity for a junior engineer looking to progress quickly, gain exposure to advanced semiconductor design, and join a business where your development will be actively supported.The Role: • Layout and physical design for semiconductor products, • Use EDA tools to create, modify and optimise designs, • Work with analogue and digital teams on new product development, • Support design reviews, testing and documentation, • 1 to 2 years' experience in layout / physical design / PCB / IC design, • Experience with EDA tools, • Familiarity with Synopsys, Cadence Design Systems or Siemens EDA advantageous, • Interest in semiconductor memory technology beneficial The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

Senior Full-Stack JavaScript Engineer / Senior Developer / Staff Engineer (JavaScript) – Thought Leader Node.js / React / Next.js / AWS Serverless London (Hybrid - office based Tues/Weds/Thurs) £90k + Bonus + Excellent Benefits Discretionary bonus (10%), Private Healthcare, 25 Days Holiday, 5% Pension, Life Insurance, 2 Volunteering Days, Season Ticket Loan Build systems that power world-class storytelling This is an opportunity for a senior, product-minded engineer to take a leading role in shaping both technology and engineering culture within a company trusted by some of the world’s most recognisable media brands. With 25 years of industry presence and a team of 140, this organisation values craftsmanship, stability, and long-term thinking over short-term delivery. Their product is central to storytelling in media so reliability, performance, and usability truly matter. The opportunity: This is not just another senior engineering role. You’ll operate as a technical leader and thought partner, contributing to architecture, guiding engineering standards and influencing how systems evolve over time. While you’ll remain hands-on, your impact will extend beyond your own code, shaping decisions, mentoring others and elevating the team. You’ll work across the full stack, owning everything from elegant frontend experiences to robust backend services and infrastructure, with the autonomy to make meaningful technical decisions. What you’ll be doing: • Leading the design and evolution of full-stack architecture across frontend, backend, and serverless systems, • Building high-quality, performant applications using React and Next.js, • Designing and scaling Node.js APIs and distributed backend services, • Driving best practices in code quality, testing, observability and maintainability, • Partnering closely with product, design, and research to shape solutions end-to-end, • Acting as a technical sounding board and mentor within a collaborative team, • Contributing to decisions around tooling, infrastructure, and emerging technologies (including AI-assisted workflows) What success looks like: Within your first 6–12 months, you will have: • Shaped key architecture decisions across the platform, • Delivered scalable, production-grade Node.js services supporting critical workflows, • Shipped polished, high-impact frontend experiences used daily by customers, • Improved system performance, reliability, and scalability in measurable ways, • Elevated engineering standards through thought leadership, mentorship, and best practices Tech environment: • TypeScript / JavaScript, • Node.js (API & backend services), • React, Next.js, • AWS Serverless (Lambda, API Gateway), • Vercel, • SQL Server, • Algolia, • CI/CD (TeamCity) You’ll thrive here if you: • Are a senior or staff-level engineer who enjoys owning problems end-to-end, • Think beyond implementation — you care deeply about architecture, trade-offs, and long-term impact, • Have strong experience building Node.js backends and modern React applications, • Enjoy working as a true full-stack generalist, comfortable across frontend, backend, and infrastructure, • Naturally contribute ideas, challenge thinking constructively, and raise the bar for those around you, • Value collaboration, clarity, and thoughtful engineering over quick fixes What you’ll find: • A mature, craft-led engineering culture, • Real influence over technical direction and product decisions, • A highly collaborative, cross-functional environment, • The space and trust to solve problems properly, • A stable, successful business with meaningful impact in music and media This isn’t about chasing trends or shipping fast at any cost. It’s about building the right things, the right way and having the experience and perspective to lead others in doing the same. If you’re a Senior Full-Stack Engineer ready to step into a broader role, apply now or contact Simon Morris at Ithika Recruitment for a confidential chat. Ithika Recruitment, partnering world-class talent with world-class companies

About the role A market leading public safety client of ours who provides bespoke solutions to a variety of emergency services customers across the UK is currently in the market for a Customer Service Engineer. As a Customer Service Engineer, your role is all about providing exceptional second line technical support to a number of their UK based customers. You are responsible for the technical implementation and maintenance of their Control Room Solutions and will use a broad range of systems and technologies across multiple domains and technologies to do this. You will report to the Lead Customer Service Engineer and work with both the Service Engineering team in the UK and the wider Service Engineering teams across Europe. Your Main Responsibilities • Communicating with & responding to customers about technical service incidents, events and requests., • Analysing and diagnosing errors and faults, • Proactively drive incidents through to resolution, • Collaborate with the engineering teams, in the UK and wider global organisation to manage new services into live, decommission service and defect management, • Technically delivery of change requests into live services, • Collaborating with Product Management team on continuous product improvement based on customer feedback, • Ideally have knowledge of public safety technologies, • First and/or second line support in an enterprise / Cloud-based environment, • Incident management and problem resolution experience, • Microsoft operating platforms, including Microsoft cloud-based services (Azure), • Microsoft SQL Server deployment and management ideally, • WAN/LAN hardware, configuration and management, • Microsoft MTA or MCSA, Juniper, Cisco & Dell qualified ideally, • Azure fundamentals (AZ900) Security and compliance (SC900) qualified ideally, • Virtualisation (ESXI/HyperV/Virtualisation), • Technologies: MS Server 2019/22/25, Redhat Linux, AD and Group Policy Management, MS Certificate and KPI, MS SQL, Gigaspace, Java, Network config and Management, WSUS, /UXMS, • Hardware: Cisco LAN/WAN switches, Dell /Fujitsu/HP Server and user devices, Dell/Fujitsu/HP Server and SAN, • Knowledge of ITIL processes in a support environment This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.

Pontoon is an employment consultancy. We 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, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Job Title: Senior Full Stack Engineer Location: London 4-5 days in office Contract: 12 months contract Rate: £100 per hours inside umbrella As a senior full stack engineer you will be instrumental in designing and developing web font-ends and back-end services for a new platform built to automate the management of the full lifecycle of complex private assets. Your expertise is expected to be pivotal in ensuring usability, scalability, performance and resilience of this high-profile platform.Job Responsibilities: * Collaborate closely with cross-functional team, including product owner, business analysts, scrum masters and engineering. Extensive experience in: * Java Spring Boot and Angular web development. * Micro-services and micro front-ends. • Reactive UX front end design patterns., • High availability and high scalability design patterns. * GitLab and CI/CD. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.