318 jobs found

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 skills A 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 skills A 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 skills A 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 skills A 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 skills A 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 skills A 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 skills A 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 skills A 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 skills A 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 : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Role: SC Cleared Network Engineer Location: Farnborough (2 to 3 days per week onsite) Length: 6 months Rate: 750 to 800 via umbrella CANDIDATES MUST HOLD ACTIVE SC CLEARANCE AND BE SOLE UK NATIONALS DUE TO THE NATURE OF THE WORK AND INDUSTRY The Role As a Senior Network Engineer, you will be responsible for delivering engineering excellence across one or more technology domains by providing deep technical insight, drive continuous improvement, and ensure solutions are robust, scalable, and aligned with strategic objectives. Day-to-day, you'll lead the design, implementation and support of complex technology solutions, ensuring high performance, reliability, and security. As the Senior Engineer, you will also act as a technical authority, mentoring junior engineers and collaborating across teams to deliver integrated solutions. Your responsibilities will include: Leading the design, implementation and support of enterprise-grade solutions across one or more technology domains Take ownership of complex technical deliverables, ensuring quality, performance, and alignment with architectural and strategic standards and provide technical leadership and mentoring to Engineers and Associate Engineers, supporting their development and integration into the team Collaborate with principal engineers, architects and capability leads to align engineering outputs with strategic goals Represent engineering in cross-functional discussions, influencing decisions and driving alignment across teams Contribute to technology roadmaps and continuous improvement initiatives Ensure compliance with security, performance and operational standards and proactively identify and mitigate risks across engineering deliverables and service operations Essential experience of the Senior Network Engineer: Experience with large-scale, multi-site enterprise networks across LAN, WAN, datacentre, and hybrid-cloudoud environments Knowledge of routing and switching protocols including BGP, OSPF, VXLAN, EVPN, WI-FI and Network Authentication Protocols (e.g. 802.1x), across Cisco Catalyst/Nexus/WLC, Cisco Meraki, Palo Alto, Dell products. Familiarity with Cisco, Palo Alto, and F5 security solutions, including firewalls, intrusion prevention/detection systems, and network access control solutions Eperience with software defined Networking including virtualization technologies such as VMWare NSX-T Experience in producing detailed network designs and documentation aligned with business and security requirements Has experience with network automation, supported by development teams Essential qualifications for the Senior Network Engineer: CCNP or equivalent industry experience Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). This role is 37 hours per week based at Farnborough. To cover shift patterns between (Apply online only) GMT you may be asked to work at specific times. As part of a commitment to maintaining high service availability and rapid incident response, this role will be required to participate in an on-call rota. This responsibility reflects the trust placed in the role to act swiftly and decisively when critical systems are impacted. At our Farnborough site exciting work takes place at our state-of-the-art facility, with high-energy laser technologies, our 5m pressurised wind tunnel which has a simulation capability that is unique in the UK and our large research and development projects is a real hub of creativity, research and innovation. Join our talented teams of Engineers, IT & Cyber Specialists, Project Managers, Group Functions Teams and many more to provide future defences in the UK.

Principal Electronics Hardware Engineer High Wycombe Hybrid £72,000pa plus benefits: Are you a Senior or Principal Electronics Hardware Engineer who has a scientific or engineering mind? Would you like to own and manage the electronics hardware development of a world-leading scientific instrumentation product? Our client has been at the forefront of technical innovation for over 50 years. Their ground-breaking products are used worldwide and as they go from strength to strength, they are looking for a Principal Electronics Hardware Engineer to join their highly talented electronics engineering team. On a day-to-day basis, your focus will be the design and development of electronics hardware for a specific product line. You will become the subject matter expert for this product, coordinating design reviews, testing to validate systems, and support the product with any customer queries. Please note that your specific product is manufactured in Santa Barbara, so there may be some international travel to California in the US. About you: Ideally an Electronics or Scientific degree Extensive practical experience in the design and development of electronics systems including analogue, digital and power supply circuitry and experience with writing embedded software both in C and assembler. Experience with low noise electronics design and the ability to model electronic systems to predict noise performance. Ability to write efficient, well-structured and annotated VHDL for targeting FPGAs. Ability to simulate designs and build appropriate test harnesses. Strong debug skills and knowledge of associated tools. Experience of designing complex SMT multilayer pcbs of 500 components or more. Design and testing for EMC, electrical safety, reliability and minimising environmental impact. Systems overview, with good appreciation of thermal and mechanical design issues. Ideally - Experienced with Mentor schematic capture and pcb layout. Xilinx Vivado / Planahead. Functional test development, Embedded Linux, application level development in Windows using C# for the construction of test harnesses Ideally Experienced with analytical instrumentation, ARM processors, Ethernet, PIC, Zynq, Xilinx FPGA, IEEE 1394, Infineon 16x, Motor drives Our client is offering a hybrid working arrangement with 3 days in their offices and 2 days from home. There is flexible start and finish times so you can plan your day around your preferred hours. If you re a Senior or Principal Electronics Hardware Engineer who has worked on analytical instrumentation or similar, please get in touch for information on the client, role, products, career development, benefits etc. Please send MARS a copy of your CV or drop Lee Cherrill a linkedin connection request or contact him through the MARS Recruitment website. MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven t heard back in this time your application has been unsuccessful at this time. MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles).

Data Architect Position Description At CGI, we're helping to transform the future of healthcare through the power of data. As a Data Architect, you'll play a pivotal role in designing, building, and optimising data platforms that underpin critical national services. Working at the heart of our Healthcare team, you'll use your expertise in AWS, and Databricks to deliver high-impact solutions that improve outcomes, enhance decision-making, and drive innovation across the sector. You'll collaborate with experts who share your passion for problem-solving, ownership, and technical excellence-empowered to shape the data foundations of tomorrow. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid. Your future duties and responsibilities You'll take ownership of complex data challenges, partner with architects and data engineers to shape technical direction. Working within CGI's supportive environment, you'll be encouraged to explore new technologies, share knowledge, and contribute to a culture of excellence and innovation. Key responsibilities include: • Architectural Vision & Modelling: Define and govern the conceptual, logical and physical data models ensuring consistency and best practice. • Platform Strategy & Design: Design highly scalable and secure cloud-native data platforms on AWS, identifying the most appropriate services, within the client's constraints. • Data Governance & Compliance: Define and enforce data governance policies, security frameworks, and compliance standards across the data lifecycle. • Strategic Consultation & Alignment: Partner with business leaders and technical teams to translate high-level strategic goals and business requirements into a clear, implementable roadmap. • Data Flow: Define the standards and architecture for data ingestion, transformation and consumption, ensuring reliable high-quality data movement across systems. • Technology Roadmap & Innovation: Research, evaluate and recommend emerging technologies and patterns, such as Data Mesh and Data Lakehouse. Required qualifications to be successful in this role To excel in this role, you'll bring extensive architectural leadership, strategic vision and deep domain expertise in designing and governing enterprise-level data solutions in cloud-based data solutions, ideally within regulated or complex environments such as healthcare. You'll be confident in translating business strategy into technical data roadmaps and providing architectural guidance and oversight to engineering teams. You must have: • Architectural expertise in designing and governing large-scale data platforms with at least one of Databricks, Palantir, or a similar unified analytics platform. You should have: • Proven experience as a Data Architect or Principal Data Engineer defining the architecture for large, complex, and high-volume or highly sensitive data datasets. • Deep expertise in data modelling, database design, and advanced architectural patterns (e.g. Data Mesh, Data Lakehouse). • Strong knowledge of the AWS cloud data service ecosystem, including S3, Redshift, Glue, Lake Formation, and IAM, and how they integrate into a cohesive solution. • Extensive experience in defining and implementing enterprise data governance, security, and compliance frameworks. • Excellent communication, documentation, and consulting skills, capable of presenting complex architectural designs and trade-offs to technical teams and executive stakeholders. • Experience in the healthcare sector or knowledge of NHS data standards (advantageous). Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.

Location We are offering location options for this role as below: Existing CO staff can work in their original contractual work location. Existing Civil Servants working in all other departments can work in London only. External candidates can work in London only. About the job Job summary Here's a glimpse of what you'll be doing: You will be instrumental in shaping the infrastructure, network and cloud capabilities that support vital services for the Government Digital Service (GDS), Crown Commercial Services (CCS) and the Government Property Agency (GPA), impacting civil servants and ministerial bodies across the nation. As a Senior Infrastructure Engineer (Networks), you won't just be maintaining systems, you will be a key architect of our future network landscape. Working alongside Technical Architects and Principal Engineers, you will design, maintain and upgrade our network infrastructure, tackling challenges head on and ensuring seamless service delivery. You will also be able to help others by mentoring or line management of more junior engineers. Job description Your responsibilities will include: Designing and implementing new network services to meet the evolving needs of the Cabinet Office. Be a crucial point of escalation for our Live Service, diving deep into root cause analysis and finding effective solutions. Guiding and mentoring junior engineers, creating a collaborative and growth oriented team environment. Managing and supporting our wireless LAN and WAN, including network and security devices. Maintaining and enhancing our network infrastructure services, including switching, routing and firewalls, while sharing your expertise. Working with cutting edge cloud technologies, contributing to the migration of existing systems and the implementation of innovative new solutions. Integrating and improving our existing processing systems to enhance performance. Maintaining the integrity, availability, performance and capacity of our networking infrastructure. Carrying out change control activities with precision and documenting our network infrastructure. Working within technical compliance frameworks, including PSN and Cloud computing. Curious about Government Digital and Data? Dive into the Candidate Pack to learn more: ( ) Person specification Proven experience in network design, installation, and fault finding. Experience of change management processes. Experience working in an enterprise IT environment. Exceptional customer relationship and stakeholder management skills, with the ability to build trust at all levels. Technical expertise in supporting and administering networks. Experience with network monitoring and trend analysis. In depth understanding of LAN design/architecture at data center and branch office levels. Comprehensive knowledge of network technologies (IP, Ethernet, VLANs) and network security best practices. In depth understanding of communication protocols (TCP/IP) and routing protocols (e.g., BGP, OSPF). Proven expert skills in Fortinet and Palo Alto Firewalls. Comprehensive understanding of all the additional security features a Layer 7 Firewall provides Experience with Aerohive/Fortinet (or similar) WiFi management, including troubleshooting. Experience working with AWS Multi Account, TGW, VPCs and Route53.

Location This post can be based in any location within England and Wales where a CPS office is located. Whilst it's an expectation of the role to travel to CPS locations as per business needs, CPS is disability confident employer and all reasonable adjustments will be considered in line with Equality Act of 2010. About the job Job summary The Lead Technical Architect operates at a strategic level within the Digital and Information Directorate (DID), reporting to the Principal Technical and Enterprise Architect. The role is pivotal in shaping the technical direction of digital services across multiple teams and projects. Its primary purpose is to ensure that systems are robust, scalable, secure, and aligned with organisational and government standards. Key responsibilities include guiding technical design, making critical architectural decisions, and assuring solution quality through reviews and adherence to architecture principles. The role promotes reuse, interoperability, and cross-organisation and cross-government collaboration, identifying opportunities for shared platforms and services to deliver better value. Beyond technical oversight, the Lead Technical Architect plays a leadership role in mentoring other architects and technical staff, fostering continuous learning and professional development. They will be a leader in the architecture community, embedding best practices and driving innovation and architectural alignment across delivery teams. Strategically, the position requires maintaining awareness of emerging technologies, government digital strategies, and socio-political trends to ensure architectural decisions remain forward-looking. The architect will engage senior stakeholders to influence strategic direction and inform planning and investment decisions. The Crown Prosecution Service is based in England and Wales. If you're applying for this role and live in Scotland or Northern Ireland, you must let us know when accepting this offer as you need permission to work from your home address if hybrid working is part of your role . There's no guarantee that we will grant this approval. You must be aged 16 before starting in this role. The start date is expected to be 8-12 weeks after the application deadline. As part of this role, you are expected to undertake direct line management responsibilities. Job description Your roles and responsibilities: You define and own technical architecture for complex digital services, ensuring alignment with organisational and government standards (e.g., GDS framework). You provide strategic technical leadership, influencing design decisions and guiding delivery teams across multiple projects. You assure solution quality through architecture reviews, governance, and adherence to enterprise principles such as scalability, security, and interoperability. You promote reuse and shared platforms, identifying opportunities for cross-government collaboration and cost-effective solutions. You mentor and develop technical staff, fostering a culture of continuous learning and professional growth within the architecture community. You engage senior stakeholders, translating technical concepts into business value and influencing investment decisions. You stay ahead of emerging technologies and trends, ensuring architectural decisions remain innovative and future-proof. You lead on risk management and compliance, including security standards and technical assurance processes. You champion best practices, embedding agile and DevOps principles into architecture and delivery approaches. A copy of the full job description is attached. Person specification To be eligible to apply, you need to: Have substantial experience in technical architecture, including designing and assuring complex digital services that meet organisational and relevant sector standards, preferably HMG standards. Demonstrate strategic thinking, with the ability to see the bigger picture, align technical decisions to long-term organisational goals, and anticipate emerging technologies and trends. Show leadership capability, including mentoring technical staff, fostering professional development, and leading architecture communities to embed best practices. Possess strong stakeholder engagement skills, able to influence senior leaders and communicate complex technical concepts clearly to non-technical audiences. Be adept at promoting reuse and interoperability, identifying opportunities for shared platforms and cross-organisation and cross-government collaboration to deliver value. Have a proven ability to assure solution quality, through governance, reviews, and adherence to enterprise architecture principles such as scalability, security, and sustainability. Understand agile and DevSecOps practices, working with these principles in architecture and delivery approaches. Hold or be eligible for SC clearance, as this is mandatory for the role. You also need to demonstrate the following technical skills: Cyber Security Architecture Systems & Infrastructure Engineering Cloud Engineering Software Engineering Networking Integration & Middleware

Senior Site Reliability Engineer - Active SC Required! Up to £75,000 + benefits Wokingham - Hybrid (UK-based) We're seeking a Senior Site Reliability Engineer to play a key role in designing and operating highly reliable, scalable systems in a fast-paced environment. You'll act as a technical leader within the team, driving best practices across reliability engineering, automation, and system performance. What you'll be doing: Designing and improving system reliability, scalability, and observability Leading incident management and driving root cause analysis Building and maintaining robust CI/CD pipelines and automation frameworks Partnering with development teams to embed SRE principles into the SDLC Mentoring junior engineers and promoting engineering best practices What we're looking for: Strong experience in SRE, DevOps, or platform engineering roles Deep understanding of cloud infrastructure (AWS, Azure, or GCP) Hands-on experience with Kubernetes and containerised environments Strong scripting/programming skills (Python, Go, or similar) Experience with monitoring, alerting, and observability tooling Proven ability to troubleshoot complex distributed systems Why apply? Opportunity to influence technical direction and best practices Work on large-scale, mission-critical systems Leadership exposure with clear progression to principal level

Job Title:Senior Project Manager Location: Newcastle Salary: Competitive Type: Permanent Sector: Public Sector Job Description North is looking for an experienced Senior Project Manager (SrPM) to join our Newcastle team delivering leading brand CCTV, Access Control, and Intercom solutions across our regional Pubic Services organisation. North solutions range from basic systems to fully integrated solutions bringing together CCTV, Access Control, Fire, Intruder Alarms, IOT and BMS into a single management console. The successful applicant will be responsible for planning, organising, managing, and executing the project achieving successful outcomes for our customers across local authorities, housing, higher education, healthcare and transportation. The ideal applicant will have proven experience as a Project Manager or similar role, successfully delivering complex safety and security, networking, integrated technology, M&E or construction projects within residential, commercial or similar high-risk environments. KEY RESPONSIBILITIES: Project Leadership & Delivery Lead and deliver projects to agreed deadlines and budgets, with a strong focus on quality, safety, and compliance. Define project scope, objectives, and deliverables with senior stakeholders. Develop and manage detailed project plans, programmes, and work breakdown structures. Manage all project phases from design and procurement through installation, commissioning, testing, and handover. Ensure accurate, compliant project documentation in line with NSI, BAFE, and British Standards. Oversee compliant fire stopping works, maintaining Passive Fire Protection (PFP) integrity. Liaise with structural and fire engineers, and building control as required. Demonstrate a sound understanding of building physics, structural loads, and fire compartmentalisation. Site Management & Health & Safety Take overall responsibility for effective site management and safe working practices. Act as, or oversee, the Principal Contractor role under CDM 2015. Develop and enforce health & safety plans, risk assessments, and method statements. Manage temporary works, site logistics, and compound operations. Carry out regular site inspections and audits, addressing non-compliance promptly. Commercial & Financial Management Manage project budgets, forecasts, and cash flow to ensure profitable delivery. Control costs and drive efficiencies without compromising safety or quality. Lead change and variation management, ensuring formal approval and cost control. Manage supplier and subcontractor performance in line with contractual requirements. Risk & Opportunity Management Identify, assess, and manage project risks and opportunities. Maintain and update risk registers, implementing mitigation strategies as required. Communicate risks and mitigations clearly to stakeholders. Stakeholder & Client Management Build strong relationships with clients, residents, local authorities, and regulators. Act as the primary client contact, providing clear and proactive communication. Deliver regular project updates and reports tailored to the audience. Manage expectations and resolve issues professionally and transparently. Qualifications SKILLS AND EXPERIENCE: Proven experience as a Project Manager or similar role, successfully delivering complex construction, M&E, or technology installation projects Strong understanding of passive and active fire protection systems. Strong technical knowledge of CCTV and Access Control Systems Expertise in CDM Regulations 2015 and a strong commitment to health and safety best practices. Experience in managing temporary works and site logistics, including compound setup and management. Robust commercial acumen with proven experience in cost control, budget management, and variation/change management. Proficient in risk and opportunity management. Exceptional communication, negotiation, and interpersonal skills, with a proven ability to build rapport, influence stakeholders, and manage client expectations effectively. Strong leadership capabilities with experience in managing multi-disciplinary project teams and subcontractors. Highly organised, detail-oriented, and able to manage multiple priorities in a fast-paced environment. Proficiency in project management software (e.g., MS Project) Relevant professional qualifications (e.g., PRINCE2, PMP, APM PMQ) are highly desirable. Recognised Health & Safety qualification (e.g., NEBOSH Construction Certificate, SMSTS) is highly desirable. Benefits We offer a competitive remuneration package reflective of the candidate s skills and experience, along with a range of benefits typical for roles within the IT sector , including: Generous holiday entitlement Contributory pension scheme Healthcare and wellbeing programmes Professional development and training opportunities Flexible working arrangements subject to business needs Employee assistance programmes How to Apply If you are a proactive and detail-oriented professional looking to make a meaningful impact within a dynamic organisation, we welcome your application. Please submit your CV and complete the application form . We can only accept candidates who have the Right To Work in the UK

Job Title:Project Manager Location: Birmingham Salary: Competitive Type: Permanent Sector: Public Sector Job Description North is looking for an experienced Project Manager (PM) to join our Midlands team delivering leading brand CCTV, Access Control, and Intercom solutions for a large multi-year contract to a key public sector customer. North solutions range from basic systems to fully integrated solutions bringing together CCTV, Access Control, Fire, Intruder, and BMS into a single management console. The successful applicant will be responsible for planning, organizing, managing, and executing the project achieving successful outcomes for our customers. The ideal applicant will have proven experience as a Project Manager or similar role, successfully delivering complex construction, M&E, or technology installation projects within residential, commercial or similar high-risk environments. Project Leadership & Delivery Lead and deliver projects to agreed deadlines and budgets, with a strong focus on quality, safety, and compliance. Define scope, objectives, and deliverables with senior stakeholders. Manage project plans and programmes across all phases, from design and procurement to commissioning and handover. Ensure documentation complies with NSI, BAFE, and British Standards. Oversee compliant fire stopping works, maintaining Passive Fire Protection (PFP) integrity. Work with engineers and building control, applying knowledge of building physics, structural loads, and fire compartmentalisation. Site Management & Health & Safety Take overall responsibility for site management and safe working practices. Act as, or oversee, the Principal Contractor role under CDM 2015. Implement health & safety plans, risk assessments, and method statements. Manage temporary works, site logistics, inspections, and audits. Commercial & Financial Management Manage budgets, forecasts, cash flow, and cost control to ensure profitable delivery. Lead change and variation management, ensuring formal approval and cost control. Manage supplier and subcontractor performance against contractual requirements. Risk & Opportunity Management Identify and manage project risks and opportunities, maintaining mitigation plans and risk registers. Stakeholder & Client Management Build strong relationships with clients, residents, local authorities, and regulators. Act as the main client contact, providing clear updates, reports, and issue resolution. Benefits We offer a competitive remuneration package reflective of the candidate s skills and experience, along with a range of benefits typical for roles within the IT sector , including: Generous holiday entitlement Contributory pension scheme Healthcare and wellbeing programmes Professional development and training opportunities Flexible working arrangements subject to business needs Employee assistance programmes How to Apply If you are a proactive and detail-oriented professional looking to make a meaningful impact within a dynamic organisation, we welcome your application. Please submit your CV and complete the application form . We can only accept candidates who have the Right To Work in the UK

Information Security Analyst - Staffordshire Cyber Analyst to join the Information Security Team. Someone who can take those outputs from projects / tools and drive improvements. Looking for an experienced, proactive Security Analyst to ensure the correct level of security integrity to protect systems, information, personal data and people from cyber-attacks and unauthorised access. Working with other departments to ensure security systems are secure, fit for purpose and protected to an optimal level. You will be responsible for driving the security scrutiny, culture, awareness, and adoption across the business. Security Toolsets and a Technical Mindset, you re not expected or required to be an expert in all areas but expected to have a solid understanding and grounding in security principals to adapt to the varied requirements Experienced in a wide variety of security software, systems, services and toolsets such as E-mail Security, EDR, NAC, IT/OT Segmentation, 365 etc along with an understanding of malware prevention, emerging threats, attacks and vulnerability management Understanding of Information Security best practice for elements including workstations, servers, cloud, networking, architecture, common protocols, and application security Can confidently perform security audits, both internal and external (e.g., third party and supplier assurance) and ensure recommendations are followed for continuous improvement Strong Incident Response Management skills including threat and vulnerability analysis Understanding of security frameworks such as NIST, and Cyber Essentials As the analyst you will work with the security manager and engineer the day-to-day running and monitoring of Information Security systems. Analyse and interpret outputs to identify security weaknesses and recommend continuous improvements and be involved in - Respond to Security Incidents, reports and alerts ensuring prompt containment and recovery. Plan and oversee regular security penetration testing against new and existing services to identify weaknesses and formulate plans and processes to minimise current and future risk Conduct regular security risk reviews and manage security remediation activity, internally on new IT/Business projects and with third parties This is working for an excellent client who offer progression and development. This is an office-based role in Staffordshire and you will join a small, dedicated security team.

Principal Software Engineer AI & Innovation Recruiting a Principal Software Engineer with a proven track record of delivering innovative, AI driven solutions and the curiosity to explore beyond traditional technology boundaries. Within the newly createdAI & Innovation team, you will shape the future of the organisation s products through cutting-edge technology, experimentation and creative thinking. A truly exciting opportunity to influence and create something new. Key Responsibilities Build innovative MVPs to validate ideas and accelerate learning Lead the design and implementation of scalable, high-performance software systems Collaborate closely with Product, Design, QA, and Engineering teams Evaluate, experiment and recommend new technologies, frameworks and tools Mentor and coach engineers to create a culture of innovation and continuous improvement Oversee code reviews and ensure delivery of high-quality maintainable software Troubleshoot and resolve complex technical challenges Contribute to strategic planning and align technology decisions with business goals Essential Skills Significant experience in a senior software engineering position Proven experience delivering innovative AI solutions Practical knowledge of AI and recommend tools to best suit the needs Strong understanding of microservices and modern web architectures Deep expertise in programming languages and frameworks Extensive experience designing large-scale systems Strong knowledge of AWS cloud architecture and services Excellent problem-solving skills and a results-driven mindset Experience mentoring and guiding technical teams to deliver Desirable Experience DevOps practices and CI/CD pipelines Secure-by-design development and security best practices Contributions to open-source projects

Principal Systems Engineer Location: Dorchester, Dorset, England Competetive Market Salary Package Includes: Career Development and Training Employee pension contribution is matched 1.5 times by TKMS Atlas to a maximum of 10.5% ER contribution 25 days holiday (increasing to 28 days after 5 years and 30 days after 10 years) Dental Cover and Employee Assistance Programme Flexible working patterns Relocation Package Purpose of role To provide senior technical leadership for systems engineering process, guidance and tool usage. To support the systems engineering team and wider business using Model Based Systems Engineering (MBSE) practices. Key Responsibilities Model Based Systems Engineering SQEP, providing guidance to systems engineering team and wider business MBSE users. Extensive experience using Enterprise Architect or similar software. Leading MBSE outsource activities using industry specialists. Support to delivering key system engineering processes across the product lifecycle. Working closely with the project teams including the System Design Authority, Engineering Manager and Systems Engineers. Using expertise and knowledge to make a strong contribution to bids and projects Representing TKMS Atlas UK internally and externally on systems engineering aspects Promoting the use of efficient and consistent systems engineering practices. Developing and implementing relevant tools and processes Supporting delivery of the engineering divisional strategy Key Skillset Systems Engineering Model Based Systems Engineering Practises In depth understanding of TKMS Atlas UKs engineering delivery project/bid requirements and challenges Experience in developing solutions to complex problems Experience in change and project / engineering management Additional information Due to the sensitive nature of the product all applicants must have worked within the Defence / Military industry within the last 12 months or be capable of obtaining Security Clearance (SC level minimum). SC clearance must be in place before the successful candidate can start.