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

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

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

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

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

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

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

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

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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.

Are you a hands-on engineer who loves improving processes and driving real change? Ready to make a visible impact every day? Process Engineer - Exciting Opportunity in Food Manufacturing We're recruiting for an experienced Process Engineer to join a well-established, global food manufacturing business. This is a fantastic opportunity for a Process Engineer to take ownership of key projects and drive site performance and innovation. Based just outside London, this Process Engineer role offers the chance to work in a fast-paced FMCG environment, delivering CAPEX projects and continuous improvements. What You'll Be Doing As a Process Engineer, you will: • Deliver CAPEX projects on time and budget, • Conduct gap analysis and implementation planning, • Create URS and manage suppliers, • Drive continuous improvement initiatives, • Troubleshoot equipment with engineering teams, • Identify process and production improvements, • Lead energy and cost-saving projects, • Manage contractors and site safety, • Track progress and report to stakeholders, • Support training for teams To succeed as a Process Engineer, you'll have: • Engineering qualification (BTEC Level 3 or Degree), • FMCG or food manufacturing experience, • Project management and budget control skills, • Lean / Continuous Improvement knowledge, • Strong stakeholder management, • Clear communication skills, • PRINCE2 / APM / PMI qualification, • Bonus paid twice a year, • 25 days holiday (rising with service), • 4% company pension contribution, • MediCash scheme, • Service awards, • Staff product samples, • Annual BBQ & flu vaccine, • Global, well-established business, • High-impact engineering projects, • Supportive team environment If you're a motivated Process Engineer ready for your next challenge, apply now and take the next step in your career.

CNC Programmer / Setter / Operator (Fast Make – Milling or Turning) Precision Engineering | Romford This is a role for a machinist who enjoys the full lifecycle of manufacturing — not just running parts, but owning the process from concept through to production. Working within a fast-paced “fast make” environment, you’ll be responsible for developing and proving out new components, programming multi-axis machines, and ensuring parts are delivered right first time. The Role You’ll act as a key link between engineering and production, taking ownership of how new components are manufactured and brought into production efficiently and accurately. Key Responsibilities • Develop robust manufacturing methods for new and complex components, • Generate CNC programmes for 3, 4, and 5-axis machines using CAD/CAM software, • Define tooling requirements and create setup sheets and machining strategies, • Prove out programmes on the shop floor and support transition into production, • Take ownership of all supporting process elements including:, • Tooling and work holding, • Gauging and inspection methods, • CNC programme control and configuration, • Ensure projects are delivered within cost targets and timescales, • Troubleshoot machining and process issues, implementing effective solutions, • Work closely with production, quality, and engineering teams to optimise performanceWhat We’re Looking For, • Strong background in precision machining (milling or turning) within a manufacturing environment, • Proven experience in offline CNC programming using CAD/CAM systems (GibbsCAM preferred), • Ability to interpret complex engineering drawings and specifications, • Solid understanding of cutting tools, feeds/speeds, and machining strategies, • Experience with multi-axis machining (3, 4 & 5 axis), • Confident problem solver with the ability to identify root causes and implement fixesDesirable Experience, • Previous work within aerospace or highly regulated industries, • Familiarity with SOLIDWORKS or similar CAD software, • Engineering qualification (Apprenticeship, ONC/HNC/HND or equivalent) To apply for this exclusive opportunity, please submit an up-to-date CV by clicking the Apply button, or contact me directly for a confidential discussion. If you have not been contacted by A1 Personnel within two weeks of submitting your application, please assume that your CV has not been shortlisted on this occasion. A1 Personnel is acting as a specialist recruitment consultancy in relation to this vacancy.

Night Shift Quality Control Inspector Precision Manufacturing | Monday–Thursday | 17:00 – 03:15 If you’re someone who takes real pride in precision and enjoys being the final checkpoint between production and perfection, this night shift QC role offers the autonomy and responsibility to make a genuine impact. Working at the heart of the inspection function, you’ll be trusted to ensure that every component leaving the facility meets exacting standards — from first-off approval through to final verification. The Role – What You’ll Own This isn’t just ticking boxes — you’ll be a key part of safeguarding product integrity across the full manufacturing lifecycle. • Carry out detailed inspection of parts, assemblies, and sub-assemblies against engineering drawings and customer specifications, • Take responsibility for first-off inspection to keep production running efficiently and right-first-time, • Produce and compile First Article Inspection Reports (FAIRs) with full traceability, • Ensure all inspection records are accurate, complete, and audit-ready, • Support goods inward inspection and verify incoming components, • Identify, log, and escalate non-conformances in line with company procedures, • Work closely with production and quality engineering to resolve issues and prevent recurrence, • Contribute to root cause analysis and continuous improvement activity, • Strong experience in precision inspection within a manufacturing environment, • Confident using a range of inspection tools, gauges, and measuring equipment, including CMM, • Ability to read and interpret complex engineering drawings (metric & imperial), • Experience producing or supporting FAIR documentation, • Knowledge of quality standards and inspection processes, • Comfortable working independently on a night shiftDesirable (but not essential), • Aerospace or highly regulated industry experience, • Exposure to ERP/MRP systems (Javelin advantageous) To apply for this exclusive opportunity, please submit an up-to-date CV by clicking the Apply button, or contact me directly for a confidential discussion. If you have not been contacted by A1 Personnel within two weeks of submitting your application, please assume that your CV has not been shortlisted on this occasion. A1 Personnel is acting as a specialist recruitment consultancy in relation to this vacancy

CNC Turner (FANUC) - Programmer / Setter / Operator Location: Brentwood area, Essex Salary guide: £39,000-£42,000 per annum + Overtime at time and a half Working a 4-day week - Monday to Thursday We are seeking an experienced CNC Turner who can program using FANUC controls and confidently set and operate CNC lathes to produce high-quality components to drawing and tight tolerances. The role: You will take ownership of jobs from programme creation and prove-out through to production, inspection, and continuous improvement, ensuring high quality standards and efficient lead times. The work will primarily involve small batch production, including one-offs and two-offs etc. Key responsibilities: • Program CNC lathes using FANUC controls (at the machine)., • Set, operate and adjust CNC turning centres., • Read and interpret engineering drawings and tolerance requirements., • Carry out first-off, in-process and final inspection using measuring equipment., • Identify and resolve machining issues (surface finish, tool wear, accuracy, cycle times)., • Maintain production documentation and follow quality procedures., • Support continuous improvement and maintain excellent housekeeping/5S. Essential skills & experience: • Proven experience as a CNC Turner with FANUC programming (essential)., • Strong setting/operating capability on CNC lathes (essential)., • Confident working to tight tolerances; methodical approach to quality., • Comfortable working independently and taking a job through from start to finish. Hours: 07:00-17:15, Monday to Thursday (4 days / 39 hours/week) Overtime: time and a half, when available Salary guide: £39,000-£42,000 per annum (DOE) HRGO Recruitment provides both permanent and temporary job opportunities across the UK. Applicants must have the right to work in the UK. HRGO is committed to equal opportunities for all.

Manufacturing Engineer / CNC Programmer Advanced Precision Engineering | Romford This is a role for an engineer who wants more than just programming — it’s about shaping how products are manufactured from the ground up. Joining a highly capable engineering team, you’ll be instrumental in developing machining strategies, introducing new components into production, and driving improvements across manufacturing processes. The Role You’ll operate at the intersection of engineering and production, taking ownership of CNC programming, process development, and tooling design to ensure components are delivered efficiently, accurately, and right first time. Key Responsibilities • Create and optimise CNC programmes for 3, 4, and 5-axis machining, • Develop manufacturing processes and methods for new and existing products, • Design and implement work holding solutions, jigs, and fixtures, • Define and manage all supporting production elements, including:, • Tooling and cutting strategies, • Gauging and inspection methods, • Production routings and process documentation, • Ensure projects are delivered within cost, quality, and time constraints, • Support and enhance process control documentation and standardisation, • Work closely with production teams to ensure smooth introduction of new components, • Contribute to continuous improvement initiatives to increase efficiency and reduce waste, • Keep up to date with emerging manufacturing technologies and identify opportunities for adoptionWhat We’re Looking For, • Strong background in precision manufacturing / CNC machining environments, • Proven experience in offline CNC programming (multi-axis machining essential), • Ability to develop robust, repeatable manufacturing processes, • Experience designing tooling, fixtures, and work holding solutions, • Confident interpreting complex engineering drawings and specifications, • Strong understanding of machining principles, materials, and toolingDesirable Experience, • Background in aerospace or other highly regulated industries, • Experience working within a medium to large manufacturing environment, • Engineering qualification (Apprenticeship, ONC/HNC/HND or equivalent) To apply for this exclusive opportunity, please submit an up-to-date CV by clicking the Apply button, or contact me directly for a confidential discussion. If you have not been contacted by A1 Personnel within two weeks of submitting your application, please assume that your CV has not been shortlisted on this occasion. A1 Personnel is acting as a specialist recruitment consultancy in relation to this vacancy.

Electrical Estimator | Romford | £65,000 – £100,000 + Package A leading Tier 1 M&E contractor is seeking an experienced Electrical Estimator to join their established pre-construction team based in Romford. With a strong reputation in the market and a consistent pipeline of secured work, this is an opportunity to work on a range of high-value projects across sectors including commercial, residential and mixed-use developments. The Role You will be responsible for preparing detailed electrical estimates from tender documentation, carrying out take-offs, and obtaining and analysing supplier and subcontractor quotations. Working closely with both internal teams and external partners, you will support the production of competitive tender submissions, ensuring all bids are accurate, commercially viable, and aligned with project requirements. About You You will have a proven background in electrical estimating within the M&E or building services sector, along with a strong understanding of installation methods and construction processes. You should be confident managing multiple tenders, identifying risks and opportunities, and communicating effectively across both technical and commercial teams. The Opportunity In return, the company offers a competitive salary and package, long-term career progression, and the opportunity to be part of a well-respected contractor delivering major projects across the region. Applicants must have the right to work in the UK. Diamond and the Danny Sullivan Group are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from people of all backgrounds and do not discriminate on the basis of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. We are committed to ensuring our recruitment process is fair, accessible and inclusive for all.

Building Safety Team Lead Barking (Hybrid – site / office / home) Permanent, Full-Time £75,000 – £80,000 Goodman Masson are delighted to be partnering with Barking & Dagenham Reside to appoint a Building Safety Team Lead — a critical hire at a time of increasing regulatory focus and organisational growth. This is a senior leadership role sitting at the heart of building safety, offering the opportunity to shape strategy, drive compliance, and embed a proactive safety culture across a high-risk residential portfolio. The Opportunity Reporting to the Head of Resident & Building Safety, you will lead both the strategic direction and operational delivery of building safety across Reside’s higher-risk buildings. With responsibility for a growing team, you’ll oversee safety cases, risk management, regulatory compliance, and the “golden thread” of building information — ensuring data is accurate, accessible, and regulator-ready. You’ll act as the key escalation point for complex safety matters, working closely with senior stakeholders, the Building Safety Regulator, and operational teams to ensure residents remain safe and informed. Key Responsibilities • Lead and embed building safety strategy, policies, and procedures across the organisation, • Oversee the production and quality assurance of Safety Case Reports, • Ensure compliance with the Building Safety Act, Fire Safety regulations, and wider statutory requirements, • Act as the operational interface with regulators and external partners, • Drive data governance and continuous improvement of building safety systems, • Provide leadership, direction, and development to a team of Building Safety professionals, • Champion resident engagement and transparency in building safety matters We’re looking for a building safety professional with strong leadership capability and a strategic mindset. You’ll bring: • Significant experience managing building safety across high-risk residential buildings, • In-depth knowledge of the Building Safety Act, Fire Safety Order, and regulatory landscape, • Proven experience leading technical teams in a safety-critical environment, • Experience developing policies, processes, and organisational frameworks, • Strong understanding of fire safety systems, construction, and risk management, • The ability to influence at senior level and drive cultural change, • A relevant Level 6 qualification (or equivalent) in Building Safety / Fire / Construction Why Join Reside? Reside is a forward-thinking, resident-focused organisation committed to delivering safe, high-quality homes and services. This role offers genuine scope to influence, lead, and make a lasting impact. Benefits include: • 30 days annual leave + bank holidays, • Generous pension (up to 10% employer contribution), • Private healthcare + cash plan, • Flexible and hybrid working, • Annual leave buy/sell scheme, • Employee wellbeing support (EAP) If you’re ready to step into a role where you can lead from the front, shape strategy, and make a tangible difference to resident safety, we’d be keen to speak. Apply now or contact for more information.

About FRP At FRP, we are a leading national business advisory firm based in the UK. With over 950 team members, including more than 100 partners, we specialise in Corporate Finance, Debt Advisory, Forensic Services, Financial Advisory and Restructuring Advisory. Operating from 35 offices across the UK, Isle of Man and Cyprus, we are dedicated to helping clients navigate complex and difficult situations to create, preserve, and recover value. Our approach is known for being honest, clear, and considered. We provide strategic solutions that cater to a broad range of businesses, from multinational organisations to small enterprises. Our commitment is to deliver expert advice and support, ensuring our clients can make informed decisions and achieve their goals. Job Description Role overview FRP Advisory is seeking a highly skilled and enthusiastic Insolvency Administrator to join our Restructuring department within the Court Work Team. The candidate will have a background in restructuring advisory and insolvency, including bankruptcies and liquidations. This role involves the statutory reporting and administration tasks to ensure statutory deadlines are met and also smooth progression of the team’s caseload. Key Responsibilities • Under the direct supervision of more senior members of the team, to assist with the pro-active administration of insolvency cases, comprising WUCs and BKYs, in accordance with specific timescales, • Production of good quality reports and letters, • Completion of all tasks and formalities in accordance with statutory deadlines and internal protocols, • Maintaining an effective diary system in this respect, • Assist with tasks in accordance with statutory investigations, including analysing company records and presenting the same in a clear and professional format., • Monitoring, maintenance and up-dating of check lists on a weekly basis, • Taking personal responsibility to ensure that any tasks delegated by more senior staff are completed in a timely and professional manner, • Self-development: to enhance technical knowledge and to keep abreast of industry developments/new case law Qualifications • Experience in an insolvency role, • Strong organisational and multitasking skills, • GCSE English and Mathematics ‘B’ (5/6) grade or above (or equivalent) preferable, • Excellent written and verbal communication skills, • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook), • Ability to work independently and as part of a team, • High level of attention to detail and accuracy, • CPI/CII an advantage but not essential Additional Information Our Values • Straightforward: We provide clear, no-nonsense advice, • Confident: Our guidance is backed by expertise and evidence, • Pragmatic: We focus on practical solutions and tangible outcomes, • Real: We are professional yet approachable, understanding the challenges our clients face Our Commitment to You and the Environment At FRP, sustainability is integral to our strategy and operations. Our sustainability depends on building and maintaining meaningful, long-term relationships with all our stakeholders – including our employees, clients, and local communities – while also reducing our impact on the natural environment. We are always striving to improve in all areas – whether it’s our people, our clients, our planet or our governance. Our ongoing success as a business depends on our sustainability and agility in a changing and challenging global landscape. We are committed to fostering an inclusive, equitable, and diverse culture for our people. We maintain an Equal Opportunities Policy, ensuring that recruitment and employment decisions are based solely on the skills and experience required for our professional services — regardless of ethnicity, race, sexual orientation, disability, or any other protected characteristic. We believe every individual should have the opportunity to thrive. Our learning and development programmes enable us to invest in growing our employees’ careers. We aim to empower our team members to each achieve their potential. We are committed to growing long-term relationships with our clients and supporting them in achieving their objectives. We understand that our clients’ sustainability and success lead to our sustainability and success. We are emotionally invested in our clients right from the beginning.

Overview We are looking for a hands-on Senior Garment Technologist to support our technical team, with a focus on owning the size set and sample process end-to-end, on our ladies and men’s wear brands- Hell bunny and Chet Rock. This role is ideally suited to someone looking for reduced hours across 5 days, providing consistent support, ownership, and continuity across the technical workflow. This role is key to ensuring clear ownership of the technical process and reducing duplication across the team. Key Responsibilities · Take full ownership of the size set process from start to finish – from size XXS-6XL · Manage sample tracking and workflow progression across all stages · Maintain and update workbooks, specs, grades and technical documentation · Ensure clear and effective communication with suppliers and factories · Support the fit process by progressing samples post approves sample. · Identify and resolve process inefficiencies and recurring issues · Ensure accuracy and consistency across all size sets · Raise, track, and follow through sample and size set requests · Proactively chase and manage sample timelines · Flag issues early and keep workflow moving consistently · Support smooth coordination between design, technical, and production teams. Helping with QC and other areas where necessary. What We’re Looking For · Strong experience as a Garment Technologist · Confident working independently and owning a process end-to-end · Highly organised, with the ability to manage multiple stages simultaneously · Comfortable working across suppliers, production, and design teams · Proactive, solution-focused mindset · Able to bring structure and clarity to a fast-paced environment.

Shifts rotating every 02 weeks between days and nights Day Shift - 05:45 - 18:15 Night Shift - 17:45 - 06:15 The role: Reporting to the Asset Care Lead Follow GMP, SHE and Engineering procedures Support production prioritising safety, quality and production output Comply with legislative and stat

Joinery CAD Designer / Draughtsperson Salary: Upto £55k Overview A well-established bespoke joinery and fit-out business is looking to appoint a Joinery CAD Designer / Draughtsperson to support their design and production teams. This role will focus on producing detailed technical drawings for manufacture and installation, ensuring accuracy and alignment with project requirements. Key Responsibilities • Produce detailed 2D and 3D joinery drawings for bespoke joinery projects, • Interpret architectural drawings, specifications, and design briefs, • Prepare manufacturing and installation drawings for workshop and site teams, • Work closely with project managers, estimators, and workshop staff, • Amend and update drawings in line with client and project changes, • Ensure all drawings are accurate, buildable, and meet required standards Requirements • Proven experience in a joinery CAD Designer / Draughtsperson role, • Strong experience using SolidWorks and AutoCAD, • Good understanding of bespoke joinery and manufacturing processes, • Ability to read and interpret technical drawings, • Strong attention to detail and communication skills Desirable<...

Our client is looking for a GIOfficer to be responsible for the maintenance, development and deployment of their clients infrastructure and Systems Key responsibilities: • Manage and ensure the compliance with the PSMA, acting as the one of the Primary Contact Officer., • Provide a helpdesk facility for GI applications, including bespoke development, data capture, production of maps, statistical information and development of records, • Manage the process of maintaining the GIS metadata library and liaise with data owners to ensure its completeness, currency and accessibility, • Liaise with other related Corporate IT projects to ensure that modernising government initiatives fully incorporate the role of the GIS and the LLPG/LSG as required, • Liaise with departments when spatial data require updates or amendments as required, • Geo-code data to corporate addressing system, • Provide support and advice to GIS users as required GMS responsibilities working with LLPG Custodian Business Applications, • Update and maintain the GMS for thebusiness applications (e.g. IDOX Uniform system) in accordance with the LLPG data entry conventions run updates into the System through the GMS data import software., • Update and maintain the street gazetteer to maintain correct locality information ...

Pre-Construction Co-ordinator - Fire Door Manufacturer Based in Erith Full time, permanent £28,000 - £30,000 per annum Are you an organised and detail-focused Administrator looking for your next opportunity within the construction or fire protection sector? If you enjoy coordinating projects, managing information and working with multiple teams to keep things running smoothly, this could be the role for you. The Role: We are working with a well-established fire door manufacturer who are looking to appoint a Pre-Construction Co-ordinator to support their operations team based in Erith. This role will involve working closely with the Pre-Construction Manager as well as Surveyors, Site Managers and Production teams to ensure project information is accurately processed and prepared ahead of the manufacturing phase. This position is ideal for someone with strong administrative or project coordination experience who is comfortable managing multiple tasks in a busy environment and communicating with a range of internal and external stakeholders. Key Responsibilities: • Review and organise survey and project information ahead of the production planning stage, • Prepare and distribute documentation required during the pre-construction phase, • Support internal teams and clients by prov...

CNC Programmer (5 Axis) Romford Full time, permanent Salary: £35,000 £48,000 per annum (depending on 5-axis experience, programming capability, and aerospace background) About the Client Our client is a leading aerospace precision engineering organisation specialising in the manufacture of complex, tight-tolerance components for global aerospace and defence applications. Operating advanced multi-axis machining centres, high-specification fabrication facilities and a rigorous AS9100-accredited quality environment, the client is known for producing safety-critical components across aluminium, stainless steel, titanium and exotic materials. Their investment in cutting-edge technologyincluding fully automated 5-axis Matsuura machining cellssupports a culture of continuous improvement, engineering excellence, and innovation in manufacturing. Role Overview Our client is seeking an experienced CNC Milling Machinist Programmer / Setter / Operator with strong proficiency in 5-axis machining using Matsuura MAM72-35V or MAM72-52V platforms. This is a hands-on role involving CNC programming, machine setup, optimisation of machining strategies, and high-precision production of aerospace-grade components to strict quality standards. The successful candidate will be responsible for producing components efficiently, accurately and reliably in accordance with technical drawings, customer specifications, and the companys quality management system. Key Responsibilities Program, set and operate 5-axis Matsuura MAM72-35V / MAM72-52V machining centres. Create, adjust and optimise CNC programs to improve machining efficiency, cycle time and surface finish. Select appropriate tooling, work-holding, speeds and feeds for aerospace-grade materials. Conduct first-off inspection and support the generation of FAIR documentation where required. Work collaboratively with engineering, production and quality teams to resolve technical issues. Ensure machines are maintained to optimal performance levels, carrying out basic TPM and reporting issues promptly. Interpret engineering drawings, 3D models and manufacturing documentation accurately. Contribute to continuous improvement initiatives across machining processes. Assist in NPI machining trials and prove-out activities for new components. Requirements Experience Proven experience programming, setting and operating 5-axis CNC milling machines, preferably Matsuura MAM72 series. Experience producing high-precision components for aerospace, defence or other performance-critical sectors. Skilled in machining aluminium, stainless steel, titanium or exotic alloys. Strong understanding of cutting tools, machining strategies, work holding and optimisation. Ability to interpret engineering drawings, GD&T, 3D CAD data and manufacturing specifications. Experience performing first-off inspections using metrology tools (CMM experience beneficial). Requirements Qualifications Apprenticeship or formal qualification in CNC machining, mechanical engineering, aerospace engineering or similar. CAD/CAM programming training is desirable. Strong understanding of machining principles, GD&T and aerospace quality requirements. Requirements Personal Characteristics High level of attention to detail and pride in producing precision work. Proactive problem solver with a continuous improvement mindset. Strong communication skills across production, engineering and quality. Benefits Healthcare contribution scheme Employee Assistance Programme 23 days holiday bank holidays (increasing after 5 years) Family-friendly working hours (flexibility available early Friday finish) Life assurance (4 salary) On-site parking Discounts and employee benefits schem

Manufacturing Engineer/CNC Programmer Romford Full time, permanent Salary: £38,000 £52,000 per annum 23 days hol +BH ABOUT THE CLIENT Our client is a leading precision engineering and aerospace manufacturing specialist supplying high-integrity machined components and assemblies. Operating under strict aerospace regulatory frameworks, the business delivers complex machined parts to major aerospace and defence customers, working to AS9100 standards. They combine advanced CNC machining capability with strong engineering, NPI and process-control disciplines, ensuring excellent quality, repeatability and compliance across all product lines. ROLE PURPOSE The Manufacturing Engineer & CNC Programmer will generate CNC programmes for 3-, 4- and 5-axis machining centres while developing and optimising manufacturing processes for new and existing products. The role requires strong manufacturing engineering experience and precision machining knowledge, especially within aerospace environments. You will create tooling plans, inspection requirements, routings, workholding and process documentation to support controlled, efficient and compliant production. A key responsibility is improving workflows, equipment layouts and overall manufacturing efficiency, while ensuring the lowest possible cost without compromising quality. KEY RESPONSIBILITIES & DELIVERABLES CNC Programming & Process Development Prepare CNC programmes from planned processes using CAD/CAM software (GibbsCAM preferred). Develop tool definitions, setup sheets, tooling plans and related documentation. Prove out CNC programmes into production and optimise for efficiency and repeatability. Own all supporting process elements including routings, tooling, gauges, fixtures, test equipment and CNC files. Manufacturing Engineering Determine materials, tooling and methods to meet product specifications at lowest cost. Analyse and plan workflow, space utilisation and equipment layout for efficiency gains. Improve current operations to enhance quality, output and cost performance. Support the development of transparent cost structures and identify cost-reduction opportunities. Ensure all processes comply with the Quality Management System and aerospace requirements (AS9100). Produce process documentation to strengthen process control. Research emerging manufacturing technologies to support long-term business strategy. REQUIRED EXPERIENCE Strong proficiency in CAD/CAM software for 3D model generation and CNC programming (GibbsCAM preferred). Skilled in machine tool selection, cutting tool specification and application. Ability to interpret technical drawings, specifications and engineering documentation. Experience using SOLIDWORKS. Knowledge of precision engineering processes including milling and turning. Prior experience working to AS9100 or similar aerospace standards. Ability to plan workloads and work to deadlines within a fast-paced production environment. QUALIFICATIONS Degree / HNC / HND (or equivalent) in Mechanical, Manufacturing or Aerospace Engineering. Experience in a manufacturing or production engineering role within a precision engineering organisation (aerospace preferred). Trained and qualified in relevant CAD/CAM software systems. PERSONAL CHARACTERISTICS Strong analytical and problem-solving capabilities with rapid containment decision-making. Excellent communication skills across all levels of the organisation. Ability to simplify complex problems and prioritise effectively. High levels of integrity, accountability and ownership. Highly motivated, self-managing and results-driven. Customer-focused approach with a desire to drive continuous improvement. ADDITIONAL / DESIRABLE SKILLS Previous experience using GibbsCAM (or similar CAD/CAM software). Ability to measure, analyse and present capital investment opportunities for new technology. Project management skills advantageous. TPBN1_UKTJ

A leading recruitment agency in the UK is seeking a General Maintenance Engineer to support maintenance on automotive oils production equipment in a workshop setting.The ideal candidate will have previous experience in stick welding and general maintenance skills.The position offers a hands-on role

Hunter Selection Limited is seeking a Multi‑Skilled Maintenance Engineer to support equipment performance in a high-volume production facility in Erith, England. The role is hands-on and shift-based, focusing on both planned and reactive maintenance of electrical and mechanical equipment.

SG Technologies - part of the Neo Performance Materials Group, is a global leader in the production of high-performance magnetic components and assemblies. Due to Maternity leave, we are looking for an experienced Management Accountant to join our team and provide hands-on, pragmatic support across

About the Role We are currently seeking an experienced Agency Chef de Partie to support well-established schools in Brentwood. This role is ideal for a confident chef who is passionate about producing fresh, nutritious meals within a friendly and supportive catering environment. You'll be working as part of a dedicated kitchen team, preparing high-quality dishes for students and staff. This is a fantastic opportunity for a motivated and reliable chef looking for steady daytime shifts and a great work-life balance. Key Responsibilities Prepare and cook a variety of fresh meals following set menus and dietary requirements Support the Head Chef with daily food production and service Maintain excellent kitchen hygiene, food safety, and health & safety standards Assist with stock rotation and kitchen organisation Work efficiently in a fast-paced environment while upholding high culinary standards About You Previous experience as a Chef de Partie (school or contract catering experience desirable but not essential) Reliable, punctual, and able to work independently Knowledge of food safety standards (Level 2 Food Hygiene required) A valid Enhanced DBS certificate is essential - or willingness to obtain one Positive attitude and a passion for fresh food Benefits Regular daytime hours - no late nights Weekly pay and flexible assignments Support from a dedicated consultant Opportunity for ongoing work within the education sector How to Apply If you're a passionate Chef de Partie looking for flexible agency work in Brentwood, we'd love to hear from you. Apply today and a member of our team will be in touch shortly Blue Arrow is proud to be a Disability Confident Employer and is committed to helping find great work opportunities for great people. TPBN1_UKCT

About this position: We are working with a leading Automated Solutions Provider within the Automotive Industry who are looking for a skilled Controls Engineer to join their team. This is a fantastic opportunity to work on exciting projects, supporting the design, development, and commissioning of automation systems. Job Responsibilities: • Design, develop, and implement control systems for automated equipment and production lines, • Program and configure PLCs using Schneider Unity, • Collaborate with mechanical and electrical teams to ensure seamless system integration, • Conduct testing, troubleshooting, and debugging of control systems, • Support commissioning activities on-site, including start-up and optimisation, • Prepare technical documentation, including software specifications and system reports, • Provide ongoing technical support to customers during and after project completion Experience Required: • Proven experience as a Controls Engineer within the automation or automotive industry, • Strong working knowledge of Schneider Unity programming software, • Understanding of industrial communication protocols (e.g., Modbus, Ethernet/IP), • Experience with HMI/SCADA systems is an advantage, • Strong problem-solving and fault-finding skills, • Ability to work independently and as part of a multidisciplinary team, • Willingness to travel to customer sites for commissioning and support

CNC Programmer (5 Axis) Romford Full time, permanent Salary: £35,000 – £48,000 per annum (depending on 5-axis experience, programming capability, and aerospace background) About the Client Our client is a leading aerospace precision engineering organisation specialising in the manufacture of complex, tight-tolerance components for global aerospace and defence applications. Operating advanced multi-axis machining centres, high-specification fabrication facilities and a rigorous AS9100-accredited quality environment, the client is known for producing safety-critical components across aluminium, stainless steel, titanium and exotic materials. Their investment in cutting-edge technology—including fully automated 5-axis Matsuura machining cells—supports a culture of continuous improvement, engineering excellence, and innovation in manufacturing. Role Overview Our client is seeking an experienced CNC Milling Machinist – Programmer / Setter / Operator with strong proficiency in 5-axis machining using Matsuura MAM72-35V or MAM72-52V platforms. This is a hands-on role involving CNC programming, machine setup, optimisation of machining strategies, and high-precision production of aerospace-grade components to strict quality standards. The successful candidate will be responsible for producing components efficiently, accurately and reliably in accordance with technical drawings, customer specifications, and the company’s quality management system. Key Responsibilities • Program, set and operate 5-axis Matsuura MAM72-35V / MAM72-52V machining centres., • Create, adjust and optimise CNC programs to improve machining efficiency, cycle time and surface finish., • Select appropriate tooling, work-holding, speeds and feeds for aerospace-grade materials., • Conduct first-off inspection and support the generation of FAIR documentation where required., • Work collaboratively with engineering, production and quality teams to resolve technical issues., • Ensure machines are maintained to optimal performance levels, carrying out basic TPM and reporting issues promptly., • Interpret engineering drawings, 3D models and manufacturing documentation accurately., • Contribute to continuous improvement initiatives across machining processes., • Assist in NPI machining trials and prove-out activities for new components. Requirements – Experience • Proven experience programming, setting and operating 5-axis CNC milling machines, preferably Matsuura MAM72 series., • Experience producing high-precision components for aerospace, defence or other performance-critical sectors., • Skilled in machining aluminium, stainless steel, titanium or exotic alloys., • Strong understanding of cutting tools, machining strategies, work holding and optimisation., • Ability to interpret engineering drawings, GD&T, 3D CAD data and manufacturing specifications., • Experience performing first-off inspections using metrology tools (CMM experience beneficial). Requirements – Qualifications • Apprenticeship or formal qualification in CNC machining, mechanical engineering, aerospace engineering or similar., • CAD/CAM programming training is desirable., • Strong understanding of machining principles, GD&T and aerospace quality requirements. Requirements – Personal Characteristics • High level of attention to detail and pride in producing precision work., • Proactive problem solver with a continuous improvement mindset., • Strong communication skills across production, engineering and quality. Benefits • Healthcare contribution scheme, • Employee Assistance Programme, • 23 days holiday + bank holidays (increasing after 5 years), • Family-friendly working hours (flexibility available + early Friday finish), • Life assurance (4× salary), • On-site parking, • Discounts and employee benefits scheme

Internal Sales Executive required! Our client is a well-established mechanical engineering company supplying technical products and solutions to a diverse customer base. On behalf of our client, we are looking to recruit an experienced Internal Technical Sales Executive. The successful candidate will have experience in a technical engineering and/or mechanical environment and will be comfortable working with technical information to support customers in finding the right solution. Package: Working hours are 9am-5pm Monday to Friday Salary of £30,000 - £35,000 (DOE) 20 days holiday + bank holiday Company pension scheme On-site parkingInternal Sales Executive - Responsibilities: Handle incoming sales enquiries in a timely and professional manner Manage and develop relationships with existing accounts Understand customer requirements through effective questioning and communication Recommend suitable technical/mechanical solutions based on client needs Prepare and issue accurate quotations Follow up quotations to progress opportunities through the sales pipeline Maintain accurate records of enquiries, quotations, and orders Liaise with internal engineering/production teams where required Support overall sales growth through proactive account managementInternal Sales Executive - Requirements: Experience in a technical, mechanical, or engineering-based environment Knowledge of industrial equipment, pumps, or mechanical systems is highly advantageous Previous experience in sales, account management, or customer-facing technical support Experience producing quotations or working with CRM/sales systems Strong communication skills with the ability to understand customer needs Confident in handling enquiries and following up sales opportunities Strong organisational skills with excellent attention to detail Streamline Search is 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

Quality Control Inspector Late Shift Romford Full time, permanent Mon Thu 5pm 3.15am Salary: £34,000 - £42,000 23 days plus bank holidays (increasing after 5 years service) Healthcare employee contribution scheme Life Assurance (four times salary) Family Friendly working hours (some flexibility possible on start / finish times and shorter working day on Friday) Pension Scheme (Company Contribution 3%) Whirlpool Discount Scheme On-site parking The Late Shift Quality Control Inspector will be responsible for the control and compliance of product within the Quality Control inspection department in accordance with current manufacturing and Quality assurance procedures, engineering drawing and customer requirements. The Quality Control Inspector is responsible for the application of the content of the company Quality Management System which is applicable to product verification. Key responsibilities Verify the conformity of parts, assemblies and sub-assemblies in line with engineering drawings, the quality management system and any special customer requirements. Responsible for comprehensive completion and auditable traceability of inspection records. Support Production with the timely verification of batch first off. Create and compile First Article Inspection Reports (FAIRs). Carry out inspection duties across all areas of the manufacturing and supply chain process as required. Identify and report non conformance as per the Company procedure. Ensure compliance with Quality Assurance and HSE policies and procedures at all times. Highlight and escalate quality concerns to production management and quality engineering. Support problem solving to drive root cause analysis and preventive action. What the client is looking for? Proficient with inspection gauges, measuring equipment, and CMM operation Interpret technical data, drawings, specifications, and FAIR documentation Goods inward inspection experience with finished products/components Aerospace experience preferred but not essential Precision component inspection ensuring drawing compliance Knowledge of Imperial/metric geometrical definitions Read and interpret engineering drawings accurately Apply industry and quality standards ERP/MRP systems experience (Javelin preferred) desirable MSA, NDT, SPC, and ISO/ASME awareness desirable TPBN1_UKTJ

Quality Control Inspector – Late Shift Romford Full time, permanent Mon – Thu 5pm – 3.15am Salary: £34,000 - £42,000 23 days plus bank holidays (increasing after 5 years’ service) Healthcare – employee contribution scheme Life Assurance (four times salary) Family Friendly working hours (some flexibility possible on start / finish times and shorter working day on Friday) Pension Scheme (Company Contribution 3%) Whirlpool Discount Scheme On-site parking The Late Shift Quality Control Inspector will be responsible for the control and compliance of product within the Quality Control inspection department in accordance with current manufacturing and Quality assurance procedures, engineering drawing and customer requirements. The Quality Control Inspector is responsible for the application of the content of the company Quality Management System which is applicable to product verification. Key responsibilities • Verify the conformity of parts, assemblies and sub-assemblies in line with engineering drawings, the quality management system and any special customer requirements., • Responsible for comprehensive completion and auditable traceability of inspection records., • Support Production with the timely verification of batch first off., • Create and compile First Article Inspection Reports (FAIRs)., • Carry out inspection duties across all areas of the manufacturing and supply chain process as required., • Identify and report non conformance as per the Company procedure., • Ensure compliance with Quality Assurance and HSE policies and procedures at all times., • Highlight and escalate quality concerns to production management and quality engineering., • Support problem solving to drive root cause analysis and preventive action. What the client is looking for? • Proficient with inspection gauges, measuring equipment, and CMM operation, • Interpret technical data, drawings, specifications, and FAIR documentation, • Goods inward inspection experience with finished products/components, • Aerospace experience preferred but not essential, • Precision component inspection ensuring drawing compliance, • Knowledge of Imperial/metric geometrical definitions, • Read and interpret engineering drawings accurately, • Apply industry and quality standards, • ERP/MRP systems experience (Javelin preferred) desirable, • MSA, NDT, SPC, and ISO/ASME awareness desirable

Engineering Project Planner West Thurrock, Essex £50,000 – £55,000 per annum Pin Point Recruitment is seeking an experienced Engineering Project Planner to join a leading chemical manufacturing organisation operating across Upper Tier COMAH sites in the UK. This is a key role supporting the successful delivery of a diverse portfolio of engineering and capital projects, ranging from smaller site upgrades to multi-million-pound investments. You will play a central role in developing and maintaining project schedules, ensuring projects are delivered safely, efficiently, and on time. Key Responsibilities * Develop and manage project schedules across multiple engineering projects using Microsoft Project * Produce plans across all project phases including concept, FEED, detailed design, procurement, construction, and commissioning * Work closely with Project Managers, Engineers, Construction Managers, and external contractors to ensure accurate and achievable schedules * Identify and communicate critical paths and high-risk activities within project timelines * Support resource planning to ensure project delivery aligns with available capacity * Assist production teams in planning outages, shutdowns, and commissioning activities * Provide regular progress updates and reporting to senior stakeholders * Lead planning review meetings to ensure schedules remain up to date and aligned * Offer guidance on typical durations for engineering and construction activities Skills & Experience Required * Proven experience in project planning within chemical, oil & gas, or energy industries * Strong understanding of full project lifecycle (Concept through to Commissioning) * Advanced user of Microsoft Project (Primavera P6 experience advantageous) * Solid knowledge of engineering and construction activities * Experience with schedule performance tools such as Earned Value and schedule variance * Proficient in Microsoft Office applications If you’re an experienced planner looking to take the next step in your career within a dynamic engineering environment, we’d love to hear from you

Paint Technician – Dagenham Details Contract- Inside IR35, running until the end of the year. – Potential extensions beyond. Rates: £29.49 - £36.04 p/h (UMB) PAYE rates also available. Shift: Early and late rotating weekly (Mon – Fri, 6:00 – 14:00 & Mon – Thurs 14:00 – 12:00) Overtime available Role Overview On behalf of our client, an Automotive manufacturer we are currently recruiting a number of contract Paint Technicians to work in their state-of-the-art production facility in Dagenham, until the end of the year. The Paint Technician role sits within the Operations & Logistics team and has primary responsibility for the painting and refinishing of commercial automotive parts using HVLP equipment. Key Activities Applying “wet on wet” and producing parts to the highest standard meeting all conformity requirements. Mix and match paint according to specifications, ensuring no surfacing issues. Apply paint to surfaces utilising your expertise on the spray guns. Be proficient in using low-bake ovens and responsible for their upkeep and cleanliness. Take responsibility for assessing the quality of products produced within your area through management of and compliance with quality systems. Identify issues with under or over-prepped parts. Identifying and fixing defects in a timely and proficient manner. This may include the application and use of polishing tools. Ensure high standards of housekeeping and hygiene are always maintained. Ensure the effective supply and movement of parts/products to and from the section, monitoring stock levels and COSHH adherence. To complete any process documentation as required in line with the build instructions. Proactively identify potential roadblocks, working to present solutions to overcome them and working with your team to prevent recurrence and implement permanent preventative actions. Complying with health and safety regulations in your area at all times. Support the escalation of any serious issues to the appropriate level of management as required. Skills & Experience Qualified in City & Guilds Level 3 or IMI refinishing automotive industry or be time served with demonstrable exposure to an environment with a similar product finish. Good knowledge of paint application techniques. Ability to mix and match different paint colours accurately. Ability to work with a variety of tools and equipment. Experience with safe work practices including the use of proper PPE. Experience of ovens use and other drying techniques, including curing temperatures and procedures. Ability to read and interpret technical instructions, as required. A good understanding of health, safety processes and fire awareness is essential. A good understanding of quality conformance requirements and continuous improvement. Be able to work under pressure and prioritise own workload as required

Ready to find the right role for you? Salary: Competitive plus Veolia benefits Grade: 5.1 Hours: 42.5 hours (average) per week 4 on x 4 off Days only Location: 16 Choats Road Dagenham Essex RM9 6LF When you see the world as we do, you see the chance to help the world take better care of its resources and help it become a better place for everyone. As a Lead Maintenance Engineer you'll be pushing for innovative solutions to create a more sustainable future for all. We know that everyone here at Veolia can help us work alongside our communities, look after the environment, and contribute to our inclusive culture. What we can offer you; 25 days of annual leave plus bank holidays Access to our company/people's pension scheme Discounts on everything from groceries to well known retailers Access to a range of resources to support your physical, mental and financial health; so you can lean on us whenever you need to 24 hour access to a virtual GP, 365 days a year, for you and family members in your household One paid days leave every year to volunteer and support your community Ongoing training and development opportunities, allowing you to reach your full potential What you'll be doing; Lead day-to-day and shutdown maintenance activities to maximise plant throughput and minimise downtime. Coordinate workflow between two shifts, plan weekly maintenance, and allocate weekend shutdown tasks. Supervise on-shift technicians, assigning labour across PPM, process issues, and breakdowns. Plan, schedule, and organise all maintenance activities using SAP CMMS to optimise plant uptime and availability. Carry out both planned and reactive maintenance on a wide range of mechanical, electrical, and process equipment. Manage service contractors, including inductions, work permits, RAMS reviews, and compliance with safe working practices. Oversee parts identification, ordering, and repairs to support continuous operations and reduce disruption. Inspect equipment and work areas for hazards or defects, completing required documentation and reporting issues to the Maintenance Manager. What we're looking for; The successful candidate will possess a City & Guilds or NVQ level 3 in mechanical and/or electrical maintenance or a recognised formal apprenticeship with an ONC/HNC or Btech in the relevant discipline. You will have experience in process manufacturing, production industry or food manufacturing facility. The ideal candidate will have proven experience of working at a high level and fully conversant with material handling equipment, be experienced with conveyors, baling equipment, Low Voltage equipment, pumps, motors, plant auxiliaries, hydraulics, pneumatics, mechanical and optical separation, magnetic and Eddy current separation technology. Comprehensive practical experience in maintenance within a process industry preferably gained in a recycling environment, but not essential. You will be enthusiastic and a competent problem solver with a practical approach to engineering problems, be able to demonstrate an analytical approach to investigation, allied with a practical ability to resolving engineering problems. Experience in low voltage power systems, control systems and Software (DCS/SCADA/HMI/PLC), CMMS / AMMS systems would be advantageous. What's next? Apply today, so we can make a difference for generations to come. We're proud to have been named as one of The Sunday Times Best Places to Work for three consecutive years in 2023, 2024 and 2025. This consistent recognition reflects our commitment to our people, demonstrating that Veolia is not just transforming the environment, we're also transforming what it means to have a rewarding, purposeful career. We're dedicated to supporting you throughout your application journey, offering adjustments where reasonable and appropriate. As a proud Disability Confident Employer, we will offer an interview to applicants with a disability or long-term condition who opt-in to the Disability Confident scheme, and meet the minimum criteria for our roles. We're also committed to ensuring that all applicants and colleagues receive fair treatment without discrimination on any grounds, aiming to create a diverse and inclusive workplace where everyone can thrive. If you are successful in securing a new role or promotion within the company, any offer to you may be subject to the acceptance of standardised terms and conditions. These new terms and conditions may differ from your current contract, if you have any questions about how this might affect you, please don't hesitate to contact your line manager or the HR team. Job Posting End Date: What's next? Apply today, so we can make a difference for generations to come. We're proud to have been named as one of The Sunday Times Best Places to Work for three consecutive years in 2023, 2024 and 2025. This consistent recognition reflects our commitment to our people, demonstrating that Veolia is not just transforming the environment, we're also transforming what it means to have a rewarding, purposeful career. We're dedicated to supporting you throughout your application journey, offering adjustments where reasonable and appropriate. As a proud Disability Confident Employer, we will offer an interview to applicants with a disability or long-term condition who opt-in to the Disability Confident scheme, and meet the minimum criteria for our roles. We're also committed to ensuring that all applicants and colleagues receive fair treatment without discrimination on any grounds, aiming to create a diverse and inclusive workplace where everyone can thrive

Joinery Project Manager Hybrid working: (subject to business needs) Salary: Up to £70,000 + package Overview A well established joinery business is looking to appoint an experienced Project Manager with a strong joinery/carpentry background. This role will take full ownership of projects from award through to final installation and handover, ensuring delivery is on programme, within budget, and to the highest quality and safety standards. You’ll act as the central point of coordination between clients, design teams, workshop, subcontractors, and site teams. Key Responsibilities Project Delivery • Oversee joinery projects from initial brief through manufacture and final installation, • Create and manage detailed project programmes and timelines, • Track progress against key milestones and budgets, • Identify risks, manage issues, and control variations throughout the project lifecycle Client Management • Act as the main client contact from start to finish, • Attend client and site meetings, providing regular updates, • Work closely with architects, designers, and main contractors, • Ensure client expectations are clearly understood and delivered Commercial Management • Take responsibility for project budgets, forecasting, and cost control, • Review and approve invoices, spend, and subcontractor payments, • Manage variations, valuations, and final accounts, • Support procurement of materials and specialist subcontractors Production & Installation • Coordinate with the Joinery workshop to ensure drawings and specifications are correctly interpreted, • Align manufacturing schedules with site programmes, • Oversee installation on site, ensuring quality and compliance, • Resolve any technical or production-related challenges Quality & Health & Safety • Ensure all works meet required specifications and quality standards, • Maintain compliance with health & safety regulations and internal procedures, • Support preparation and review of RAMS (Risk Assessments & Method Statements) Requirements Proven experience delivering joinery or fit-out projects Strong knowledge of bespoke residential and / or commercial joinery Ability to read and interpret technical drawings Excellent organisation, communication, and leadership skills Strong commercial awareness and problem-solving ability Competent with Microsoft Office and project management tools Desirable Experience within high-end residential or commercial projects CSCS (Manager level / Black card preferred) NVQ Level 6 or 7 in Construction Management SMSTS qualification Package Hybrid working (home working subject to business needs) Travel card / travel support Monthly mobile allowance Private healthcare (post 12 months’ service) Access to company pool car for site visits Company pension

Electrical Estimator | Romford | £65,000 - £100,000 + Package A leading Tier 1 M&E contractor is seeking an experienced Electrical Estimator to join their established pre-construction team based in Romford. With a strong reputation in the market and a consistent pipeline of secured work, this is an opportunity to work on a range of high-value projects across sectors including commercial, residential and mixed-use developments. The Role You will be responsible for preparing detailed electrical estimates from tender documentation, carrying out take-offs, and obtaining and analysing supplier and subcontractor quotations. Working closely with both internal teams and external partners, you will support the production of competitive tender submissions, ensuring all bids are accurate, commercially viable, and aligned with project requirements. About You You will have a proven background in electrical estimating within the M&E or building services sector, along with a strong understanding of installation methods and construction processes. You should be confident managing multiple tenders, identifying risks and opportunities, and communicating effectively across both technical and commercial teams. The Opportunity In return, the company offers a competitive salary and package, long-term career progression, and the opportunity to be part of a well-respected contractor delivering major projects across the region. Applicants must have the right to work in the UK. Diamond and the Danny Sullivan Group are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from people of all backgrounds and do not discriminate on the basis of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. We are committed to ensuring our recruitment process is fair, accessible and inclusive for all. INDCER

Quality Inspector - Dagenham Role Overview: On behalf of our client, an Automotive manufacturer, we are recruiting a Quality Inspector to join their Production team in Dagenham. This role is responsible for responding swiftly to quality concerns, minimising their impact on vehicle quality and Right First Time (RFT) production. The successful candidate will work closely with Line Leaders and Assembly Operators to resolve end-of-line quality issues. Key Activities: • Inspect vehicles and carry out road testing where required., • Identify and document any quality concerns accurately and promptly., • Work collaboratively with Line Leaders and Assembly Operators to resolve quality issues efficiently., • Ensure vehicles are not placed out of sequence (OOS) due to quality concerns., • Maintain high housekeeping and hygiene standards in line with 5S principles., • Act in accordance with all company guidelines and policies, including Environmental, Health & Safety, ethics, values, and codes of conduct., • Support continuous improvement initiatives to enhance productivity and quality performance., • Undertake any other reasonable duties as directed by management. Skills & Experience: • Full UK Driving Licence (essential)., • Proven experience within a quality inspection role., • Experience working within a quality department in a manufacturing or automotive environment., • Good understanding of industry health and safety standards., • Strong technical capability with the ability to follow SOPs without deviation., • Proactive and solutions-focused with developing problem-solving and troubleshooting skills Package: Salary: £29,887 + 15% shift allowance Hours: Rotating early (Mon - Fri, 6am - 2pm) & late (Mon - Thurs, 2pm - 12pm) shifts 25 days holiday + Bank Holidays Life assurance On site parking

Manufacturing Engineer/CNC Programmer Romford Full time, permanent Salary: £38,000 – £52,000 per annum ABOUT THE CLIENT Our client is a leading precision engineering and aerospace manufacturing specialist supplying high-integrity machined components and assemblies. Operating under strict aerospace regulatory frameworks, the business delivers complex machined parts to major aerospace and defence customers, working to AS9100 standards. They combine advanced CNC machining capability with strong engineering, NPI and process-control disciplines, ensuring excellent quality, repeatability and compliance across all product lines. ROLE PURPOSE The Manufacturing Engineer & CNC Programmer will generate CNC programmes for 3-, 4- and 5-axis machining centres while developing and optimising manufacturing processes for new and existing products. The role requires strong manufacturing engineering experience and precision machining knowledge, especially within aerospace environments. You will create tooling plans, inspection requirements, routings, workholding and process documentation to support controlled, efficient and compliant production. A key responsibility is improving workflows, equipment layouts and overall manufacturing efficiency, while ensuring the lowest possible cost without compromising quality. KEY RESPONSIBILITIES & DELIVERABLES CNC Programming & Process Development * Prepare CNC programmes from planned processes using CAD/CAM software (GibbsCAM preferred). * Develop tool definitions, setup sheets, tooling plans and related documentation. * Prove out CNC programmes into production and optimise for efficiency and repeatability. * Own all supporting process elements including routings, tooling, gauges, fixtures, test equipment and CNC files. Manufacturing Engineering * Determine materials, tooling and methods to meet product specifications at lowest cost. * Analyse and plan workflow, space utilisation and equipment layout for efficiency gains. * Improve current operations to enhance quality, output and cost performance. * Support the development of transparent cost structures and identify cost-reduction opportunities. * Ensure all processes comply with the Quality Management System and aerospace requirements (AS9100). * Produce process documentation to strengthen process control. * Research emerging manufacturing technologies to support long-term business strategy. REQUIRED EXPERIENCE * Strong proficiency in CAD/CAM software for 3D model generation and CNC programming (GibbsCAM preferred). * Skilled in machine tool selection, cutting tool specification and application. * Ability to interpret technical drawings, specifications and engineering documentation. * Experience using SOLIDWORKS. * Knowledge of precision engineering processes including milling and turning. * Prior experience working to AS9100 or similar aerospace standards. * Ability to plan workloads and work to deadlines within a fast-paced production environment. QUALIFICATIONS * Degree / HNC / HND (or equivalent) in Mechanical, Manufacturing or Aerospace Engineering. * Experience in a manufacturing or production engineering role within a precision engineering organisation (aerospace preferred). * Trained and qualified in relevant CAD/CAM software systems. PERSONAL CHARACTERISTICS * Strong analytical and problem-solving capabilities with rapid containment decision-making. * Excellent communication skills across all levels of the organisation. * Ability to simplify complex problems and prioritise effectively. * High levels of integrity, accountability and ownership. * Highly motivated, self-managing and results-driven. * Customer-focused approach with a desire to drive continuous improvement. ADDITIONAL / DESIRABLE SKILLS * Previous experience using GibbsCAM (or similar CAD/CAM software). * Ability to measure, analyse and present capital investment opportunities for new technology. * Project management skills advantageous

DSV – Global transport and logistics Working at DSV means playing in a different league. As a global leader in transport and logistics, we have been on an extraordinary journey of growth. Let’s grow together as we continue to innovate, digitalise and build on our achievements. With close to 160,000 colleagues in over 90 countries, we work every day to offer solid services and meet our customers’ needs and help them achieve their goals. We know that the best way to achieve this is by bringing in new talent, fresh perspectives and ambitious individuals like you. At DSV, performance is in our DNA. We don’t just work – we aim to shape the future of logistics. This ambition fuels a dynamic environment built on collaboration with world-class team players, accountability and action. We value inclusion, embrace different cultures and respect the dignity and rights of every individual. If you want to make an impact, be trusted by customers and grow your career in a forward-thinking company – this is the place to be. Start here. Go anywhere. Visit (url removed) and follow us on LinkedIn and Facebook. At DSV we're building the world’s leading logistics and transport network. With this exciting growth comes opportunity — and we’re looking for new talent to join us. Role: Financial Compliance Manager Location: Purfleet or Goole preferred. Other UK DSV locations considered, will involve travel We are seeking a candidate with extensive experience in finance or tax, who possesses strong leadership skills and a deep understanding of UK and Ireland tax regulations and compliance requirements. The candidate will be reporting into the country CFO and have close cooperation with country management and group tax and compliance functions. If you are an experienced finance manager with interest in tax and compliance or if you are a tax consultant looking to increase your experience in the business, please reach out to us. What will you be doing? Overseeing tax reporting and managing statutory obligations. • Driving compliance with local and international regulations • Optimising our tax strategies and ensuring accurate financial reporting • Coordinating tax and financial compliance team • Point of contact for Group and Regional tax experts • Direct support to business leads for regulatory changes and adaptation processes. • Oversee the production and completion of all tax returns and declarative statements • Manage the production and completion of all local GAAP and statutory reporting for the company • Serve as the first point of contact for Statutory Auditors, facilitating audits and providing necessary documentation and support. • Tax reporting towards Group Finance, including deferred tax calculations and finalisation of DSV tax tools. • Act as the contact person for Group Tax regarding tax optimisation projects in the UK and IE,working under the supervision and leadership of Group Tax. • Manage communications with external tax authorities and other public administrations, ensuring timely responses and compliance with inquiries. • Lead and develop a team of professionals, providing guidance and support to enhance their skills and performance. • Supervise VAT reporting and account reconciliation processes, ensuring accuracy and compliance with VAT regulations. • Oversee Environmental, Social, and Governance (ESG) reporting initiatives • Work with Company Secretary for compliance with rules and regulations • Work on business cases related to creation of new entities, liquidation of entities as well as property development. About You Extensive experience in finance or tax, with a proven track record of success in managing tax and compliance functions • First -hand experience in managing statutory accounts, either in business or as an auditor • Bachelor's degree in finance, accounting, or a related field preferred. • Proficient use of Microsoft Office tools, including PowerPoint and Excel, for data analysis and reporting. • Experience with SAP or similar ERP systems, with the ability to navigate financial modules and extract relevant data for reporting purposes • Strong analytical skills and attention to detail, with the ability to interpret complex tax regulations and financial data accurately. • Deep understanding of compliance requirements from HMRC with regards to Risk Model and SOA. • Excellent communication and interpersonal skills, with the ability to collaborate effectively with internal and external stakeholders. • Leadership abilities, with a track record of effectively managing teams and driving performance towards organisational goals. • Proactive mindset and ability to work independently, with a focus on problem-solving and continuous improvement. • Knowledge of current tax laws and regulations, with a commitment to staying updated on changes and implications for the business. What can we offer you? Competitive Salary Package and an opportunity to be a part of and grow within a driven and successful company, with a team of 160,000, operating in over 90 countries. In addition, we can offer access to a selection of employee benefits, such as: Enhanced Annual Leave Entitlement from your start, which increases with length of service. Salary Sacrifice Car Scheme for Ultra-Low Emissions Cars Salary Sacrifice Cycle Scheme WeCare App, for support with physical and mental wellbeing, including access to GPs for you and your dependents. LifeWorks app for access to cashback and discounts on high street and online brands. Life Insurance and which includes access to expert probate support. Next Steps If this sounds like the next step for you, please follow the links and apply with your CV without delay! Please be aware that all successful candidates will undergo necessary right-to-work checks and certain sites require 5-years’ worth of referencing and criminal record checks. We do not accept CV details from Recruitment Agencies unless DSV have engaged directly regarding the role requirements beforehand