Trabajos process engineer en BorehamwoodCrear alertas

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. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do • Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers, • Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows, • Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation, • Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks, • Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance, • Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues, • Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems, • Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring, • Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis, • Proficie ncy in programming languages such as Golang and Python, • Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing, • Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows, • Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms, • Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support, • Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation, • Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management, • Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques, • Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do • Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers, • Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows, • Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation, • Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks, • Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance, • Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues, • Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems, • Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring, • Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis, • Proficie ncy in programming languages such as Golang and Python, • Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing, • Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows, • Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms, • Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support, • Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation, • Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management, • Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques, • Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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. 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. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do • Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers, • Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows, • Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation, • Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks, • Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance, • Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues, • Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems, • Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring, • Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis, • Proficie ncy in programming languages such as Golang and Python, • Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing, • Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows, • Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms, • Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support, • Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation, • Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management, • Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques, • Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do • Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers, • Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows, • Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation, • Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks, • Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance, • Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues, • Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems, • Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring, • Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis, • Proficie ncy in programming languages such as Golang and Python, • Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing, • Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows, • Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms, • Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support, • Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation, • Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management, • Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques, • Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do • Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers, • Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows, • Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation, • Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks, • Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance, • Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues, • Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems, • Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring, • Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis, • Proficie ncy in programming languages such as Golang and Python, • Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing, • Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows, • Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms, • Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support, • Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation, • Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management, • Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques, • Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do • Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers, • Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows, • Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation, • Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks, • Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance, • Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues, • Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems, • Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring, • Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis, • Proficie ncy in programming languages such as Golang and Python, • Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing, • Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows, • Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms, • Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support, • Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation, • Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management, • Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques, • Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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.

Position: Water Hygiene Engineer Location: North London & surrounding areas Salary: £31,000 - £40,000 (DOE) We currently have an opportunity to join our client, a family-run and expanding maintenance contractor within the water hygiene and legionella assessment industry, completing servicing, maintenance, and remedial works. Water Hygiene Engineer Job Overview • Travelling to commercial sites across North London and the surrounding areas to complete servicing and maintenance on water hygiene equipment, • Completing hands on mechanical servicing on water hygiene and plumbing equipment, • Completing legionella risk assessments, writing up reports, cleaning/disinfecting water tanks, highlighting and completing remedial works on these systems, • Working on associated plumbing equipment where necessary including pumps, pipework, and booster setsWater Hygiene Engineer Job Requirements, • Experienced in commercial plumbing, ideally with a Level 2 Plumbing qualification, • Strong background in commercial water hygiene and legionella risk assessments, including servicing of water hygiene systems, water tanks, and writing up reports, • Hold a full UK driving licence, • Able to pass an Enhanced DBS assessmentWater Hygiene Engineer Salary & Benefits, • Basic salary £31,000 - £40,000, negotiable depending on experience, • Company vehicle with personal use available, • Flexible working hours with early finishes/late starts available where needed

Service Coordinator (Engineering / After Sales / Projects)£36,000 - £40,000 + Profit Related Bonus + Enhanced Pension + Death In Service + 25 days holiday + Free Parking + Training & DevelopmentBorehamwoodAre you a recent engineering graduate, or do you have hands-on experience in an industrial engineering environment and would like an exciting new opportunity where you will play an essential role with a historic global leader in its field?On offer is a role that offers mentorship and development, where you will be managing the after-sales service for projects that typically range in value between £30k - £2m and may involve equipment supply only, supply and installation, special skid-built equipment and turnkey projects.This Company has been established for over a century, has several patented world firsts to its name, and is a leading international player in energy transition as well as one of the world leaders in the thermal energy sector, producing industrial boilers and burners.The Projects Engineer sits at the centre of service delivery, working closely with engineering, field service, spares, procurement and management teams.The Role: • Manage and coordinate after-sales service projects and spares-related activity, from, • initial enquiry and quotation through to execution, completion and financial close-out, • Appraise and coordinate after-sales service project and spares enquiries, • Prepare and progress quotations and proposals, • Coordinate service projects from order through to completion and invoicing, • Support the development of new spares and after-sales offerings, • Relevant engineering qualification, apprenticeship background, or strong hands-on experience within an industrial or engineering environment, • Engineering graduates will also be considered

Are you an Electrical Engineer with a passion for precision and a knack for problem-solving? Join a dynamic engineering team at the forefront of industrial energy solutions, where innovation meets real-world impact. We’re on the hunt for a practical, hands-on Electrical Engineer to take charge of the electrical and control aspects of exciting industrial projects—from design to delivery. Based in Borehamwood, you’ll work across departments to bring complex systems to life, supporting everything from circuit design to commissioning. What You’ll Be Doing: • Designing control circuits, wiring diagrams, and panel layouts, • Collaborating with engineering, production, and service teams, • Supporting commissioning and troubleshooting with real-time solutions, • Preparing technical documentation and manuals, • HNC/HND or Degree in Electrical Engineering (or equivalent experience), • Experience with AutoCAD and ideally EPLAN or SEE Electrical, • Familiarity with high-temperature process systems or similar industrial applications, • Strong communication skills and a team-first mindset You’ll be part of a company that’s helping shape the future of industrial energy—working on meaningful projects with a supportive, expert team. If you're ready to take your engineering career to the next level, we want to hear from you.

Senior Engineer Galldris Group Location: Radlett Infrastructure and Highways Project, Hertfordshire An exciting opportunity has arisen for a Senior Engineer to join our London Region on our Radlett Infrastructure and Highways Project. To be considered, you will come from a Construction or Civil Engineering background and have been in the role of a Senior Engineer with section 278 and highways experience. The Senior Engineer will be responsible for the managing the engineering ensuring works are constructed to the contract drawings, specifications, procedures, and plans, whilst managing site and trainee engineers. Key Accountabilities to include but not limited to: Health, Safety & Environment: • Writing/Checking RAMS and TBS, communicating to workforce and monitoring compliance, • Contribute to the achievement of Galldris’ Safety Targets and zero tolerance of unsafe working practices, • To establish and implement site systems and controls consistent with Galldris company standards and project requirements including health, safety and quality systems and project engineering standards, • Check Permits issued by the Principal Contractor and ensure they are received in a timely manner for works to proceed Programme & Progress: • Contribute and review the short-term lookahead programmes and reporting feedback on site, • Feedback and report issues on site which may delay programme or progress, • Assist with preventing, identifying, and rectifying issues on site which may impact the programme Design & Design Assurance • Permanent Design – Familiarising yourself with the design drawings, specifications and setting out requirements and ensure accurate construction in accordance with requirements, • Temporary Works Design – Carry out the TWC role, supporting and identify temporary works requirements, produce design briefs, and understand and communicate temporary works designs to site team and monitor installation to ensure compliance, • MARs – Raising Material Approval Records and procuring materials in line with programme, • TQs – Highlight issues and raise queries from review of drawings and specifications and from site inspections, and raise with relevant party, drawing sketches where required Quality Management • Lead Quality Assurance and Management on both projects, • ITPs – Writing/checking ITPs, communicating to workforce and checking the process is being followed, • QA Records – Ensuring and keeping organised and accurate QA records in accordance with ITPs and project requirements, • NCRs & Defects – Lead on documenting, tracking, closing out, and sharing lessons learnt to avoid reoccurrence, • Quality Handover Documentation – Collating information in accordance with ITPs and handover requirements, • Quality Readiness Reviews – lead on readiness reviews whilst capturing lessons learnt / improvements Skills: • Good communication, people, and team management skills, • Ability to speak up on HSEQ matters and lead by example, • Use of Fieldview / Dalux (or similar) web and mobile BIM software, • Proficiency in design software, such as AutoCad / Autodesk / Sketchup (desirable) Qualifications: • Degree/HNC in Civil Engineering, or equivalent, • Member of Institute of Civil Engineers or working towards (desirable), • IOSH Managing Safely or SMSTS, • Valid CSCS card, • TWC Interested applicants must be eligible to work legally in the UK. Should you feel you have what it takes to be successful in this role then we would love to hear from you. Employee referral scheme - refer a friend or family member to work for Galldris. Galldris is an Equal Opportunities employer and does not discriminate against any protected characteristic. Please note: We are not using recruitment agencies for this role. In the event of speculative CV submissions, no fees will be applicable.

This is an excellent opportunity to join an outstanding company that provides cutting edge solutions to the telecoms, automotive and logistic industries. Our client is a XXmillion turnover business with decades of successful product innovation and growing sales. They require a Principal Software Engineer / backend developer with significant .NET and Azure knowledge, who won;t be fazed by any problems when facing into the unknown. Any ticket on the backlog you are expected to be able to pick up and implement in a timely way that meets or exceeds the quality expectations, standards and business value goals. This is a permanent role with a hybrid working structure (3 days a week in the office). The role is based close to Watford. The Role: Software Engineers are responsible for engineering all of the systems, products and services. This means being responsible for the software design, code implementation, test coverage and operation of effective software and supporting toolsets within specific business and technology domains. The role holder spends their time Exploring, Investigating, Developing, Enhancing and sometimes Decommissioning our provided Tools, Product and Services all with the aim of delivering the backlog, roadmap and overall corporate strategy with their success being measured by outcome value achieved and alignment to the agreed priorities. This involves translating requirements into quality (meet required metrics) technical solutions then creating code for products and services adhering to our engineering standards that’s maintainable, supportable and with minimal risk to operate and able to be deployed safely into a production environment for use by customers and colleagues. The Principal Software Engineer is the top of the Individual Contributor within the engineering track and as such ensure software deliverables meet quality standards and are delivered effectively. They are the go-to person within their Centre of Excellence for tricky implementations; any problem should be easily resolvable by a Principal Engineer. They intimately know the design, topology, methodology and wellbeing of their centre of excellence and can help, guide and support all other engineers on achieving successful outcomes. Key to being successful is being responsible for creating a diverse, inclusive, and welcoming environment. Key Responsibilities: People  Leadership of the engineering change within their centre of excellence able to guide and support other software engineers in problem solving, code implementation issues and related challenges.  Able to work in close partnership with others – Heads of Engineering, Solution Architect, Technical Programme Manager and Leads to help to shape the engineering approaches, share knowledge and their experience.  Able to influence colleagues in a range of different approaches to solve problems to gain wider or better results and/or drive bigger benefits.  Able to review code output and make constructive suggestions for future improvements.  Represent the company externally at conferences, panels and industry events to ensure it is viewed as the leading innovator within the engineering / signalling industry.  Act as a thought leader – the principal point of contact for expertise on software issues, industry trends on developing technologies within their Centre of Excellence and seen as a role model, exemplar of demonstrating company values. Process  Accountable for resolving technical conflict when it arises able to balance a range of different viewpoints and perspectives then apply their domain knowledge to provide guidance and support to their Engineering Lead when making decisions.  Guiding and developing, senior, mid-weight and associate team members through general guidance on best practices in order to ensure the development of world-class software.  Can take any task from the backlog and can shape, then break them down into defined, implementable tasks/subtasks that align to company Technology Standards and meet the Definition of Done/Story/Epic’s Acceptance Criteria.  Routinely pairs with others along with reviewing and giving constructive feedback on others’ code.  Review and writes tests using automated test-driven techniques to ensure code quality and future reliability.  Provide frequent and accurate updates on ticket progress, expected timelines, work level outstanding, dependencies, risks, issues and duration spent to Delivery Programme Managers.  Is accountable for documentation accuracy and writes, updates and reviews all domain documentation.  Comfortable to contribute in group discussions/workshops on design and technical models, articulating contexts and boundaries and the rationale behind them, shaping the wider application landscape and identifying risks.  Lead troubleshooting and resolution of issues throughout the product life cycle, including providing out-of-hours support for incident resolution and performing root cause analysis. Technology  Skilled with full understanding of the systems delivered, technologies utilised, and approaches taken within their domain (Centre of Excellence).  Has understanding and can provide context on historical choices and can rationalise and validate future decisions along with highlighting risks or areas that now require re-engineering.  Work closely with Product to understand and translate roadmap items and needs into improvements in the domain, translating requirements into tasks and code and developing high-quality code that can lead to rapid delivery. This includes owning the scope, shape and prototyping aspects of technical implementations.  Apply in-depth knowledge of multiple programming languages, associated frameworks, and the respective tool ecosystem to create elegant solutions to problems.  Adopt new languages and new paradigms and produce proof of concepts to evaluate new tools, applying them to the problem domain where they deliver significant benefit.  Continually learning and maintaining knowledge of the industry and competitor developments. Ideal Experience and Knowledge Sought:  Demonstratable experience designing, and building distributed systems, for scalability, availability and performance and running whole system landscapes.  Experience acting as a technical authority within a domain that uses multiple technologies.  A pragmatics and viable track record of delivering large-scale, well architected complex solutions at pace.  Confidently and competently share knowledge to other users, customers, and other team members.  Strong understanding of running production systems in a secure, reliable and performant way.  Experience in building, deploying, and managing modern applications in cloud computing environments (Cloud native) is essential.

Plant & Process Engineering Coordinator (Installation Projects). Keywords: After Sales Engineer, Engineering Coordinator, Contracts Engineer, Project Engineer, Plant Engineer, Process Engineer, Pressure Vessels, Thermal Exchangers.

Work for one of the largest test and approval companies in the world as a product Test Engineer within their fire detection products division. Proficient communicator and attention detailed process tester able to work closely with manager, internal engineers and clients. Key skills would include; el

An exciting opportunity for an Applications Engineer has arisen with my client in North London. This is an amazing new opportunity for an Applications Engineer, based in North London to work for a highly technical organisation specialising in the design and manufacture of semiconductor wafer scale imaging devices for the medical and EV sectors. The Applications Engineer, North London, will sit in the R&D team and perform a key role supporting in all areas of product design process from initial creation requirements to final product validation of image sensors and flat-panel X-ray detector panels. You will also hold the following responsibilities: Working with the design teams creating test methods, plans and reports for new image sensor products and systems. Providing technical support to customers in the field for applicational use. Resolve technical product issues, conduct failure analysis and statistical reporting on faults The ideal Applications Engineer, based in North London, will have previous experience within a similar role with experience across: Semiconductor sensors / X-Ray imaging systems Knowledge of digital and analogue circuits design Carrying out validation and verification test procedures APPLY NOW! For the Applications Engineer, based in North London, by sending a cover letter and CV to or by calling Tom Drew on 07961 158762 quoting ref. THD1353. Otherwise, we always welcome the opportunity to discuss other roles similar to Design and Test Engineering roles on 01582 878 848. TPBN1_UKTJ

Do you have experience working within a production environment? Are you looking for a long-term role with clear paths for progression? Then this pharma company looking to add a Process Engineer to the team is looking for you!. Your duties as a Process Engineer include but are not limited to the foll

Assembly Process Engineer - Commercial Fleet Conversions. If you like the mix of hands-on engineering and structured process improvement, this is a strong next step. This is a place where process ownership matters and engineering improvements are backed not blocked.

Set engineering standards, best practices, and workflows for the process engineering team. Seeking a Lead Process Engineer to own and drive the design, development, and scale-up of their core process technology. Serve as the main process engineering interface with EPC partners, vendors, and external

The Thin Film Ellipsometry Process Engineer is responsible for developing, optimising, and controlling thin-film optical measurement and characterisation processes to support high-yield, high-performance semiconductor device fabrication. Utilise statistical process control (SPC) to monitor tool perf

Degree in Chemical or Process Engineering. We're looking for a motivated Process Engineer to join the Pilot Plant Operations team. Monitor and adjust key process parameters to maintain quality and safety.

Provide day-to-day support for the Engineering design team activities, with particular focus on process design/process engineering. Solid experience working in various Process Design Engineering roles in industrial environments. Senior Process Engineer responsibilities.

Presales Engineer IT/OT Network Infrastructure – Process Industry (m/f/d). Presales Engineer IT/OT Network Infrastructure (m/f/d). Engineering, IT, Networking, or Automation.

My client are looking for a Senior Process Engineer to lead the design and development of the factory layout, system architecture, and performance modelling from concept to implementation. You will own the design of the entire facility, ensuring seamless material flow, space optimization, and proces

Supports new Develop control plans consistent with product classification, potential defect types, defect frequency, severity, patient risk, process capability, process controls, etc. Develop, interpret and implement appropriate process monitoring and control methods consistent with the level of pro

Position: Operations Process Engineer. Are you a hands-on process engineer ready to take your career to the next level? We are seeking a motivated.

What you'll be doing: Conducting structured reviews of manufacturing processes to identify risks related to efficiency, quality, safety, and operational reliability Developing and maintaining process documentation including general risk assessments and COSHH assessments Coordinating continuou

Develop, review, and improve manufacturing processes to ensure process safety, process stability, equipment reliability, and site quality compliance. Process Engineer - Manufacturing. Create and maintain Process Control Plans, Process Flow documentation, and SOPs.

What you'll be doing Produce safe, high-quality and compliant process design deliverables Develop efficient design solutions informed by scopes and site visits Lead, mentor and support junior engineers and designers Prepare design risk assessments, technical reports and specifications Carry out

What you'll be doing Lead the production of safe, high-quality, compliant process design deliverables Identify efficient and technically robust design solutions from scopes and site visits Direct, support and develop engineers, designers and graduates Approve design deliverables, design risk as

Baltic Recruitment are delighted to be partnering with an established, innovative, and rapidly expanding market leader with their search for an experienced Process Engineer. Own packaging process architecture across the full product lifecycle. Lead hands-on process optimisation and problem-solving a

Senior Extrusion Process Engineer. Our client is a leading supplier within the home furnishings sector and due to continued growth, theyre looking for an Extrusion Senior Processor to play a key role in developing, optimising, an.

GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, were inspired by the opportunities to innovate and break boundaries.Were proud to play a part in protecting the worlds democracies.An

Lead Design Engineer (Bioresource - Process).

We bring together Swedish heritage and British expertise to drive innovation in areas such as software engineering, underwater robotics, radars, AI, and armed forces training.

Silos PFCS Supporting Projects Process Instrument Design Engineer.

Lead Design Engineer (Process Wastewater).

Are you passionate about making manufacturing processes faster, more robust and right-first-time?. Do you enjoy solving shop-floor problems and reducing scrap through structured engineering methods?.

Minimum 3 years successfully delivering as a Process Instrument Design Engineer on external. Professional Qualification: Incorporated Engineer. Willingness to support early career engineers.