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Principal Data Engineer Location: Remote Salary: Up to £95,000 Sponsorship: Not available VIQU have partnered with a nationally recognised organisation that has recently completed a full migration from on-premise infrastructure to Google Cloud Platform (GCP) and is now building a modern, domain-oriented Data Mesh. This is a critical leadership hire as they continue to scale their cloud data platform and embed engineering excellence across multiple product domains. This is not a step-up role. They will only consider candidates with proven Principal or Lead-level experience , including clear ownership of engineers, standards, and cross-domain architectural direction. The Role As Principal Data Engineer, you will be the senior technical authority across data product squads, driving strategy, architecture, and engineering best practice. Key responsibilities include: Providing visible, hands-on technical leadership across multiple domain teams Defining how projects are approached and ensuring delivery standards are upheld Designing and governing scalable pipelines using BigQuery, Dataflow, Datastream, Data Fusion, Dataproc and Cloud Composer (Airflow) Leading best practice across dbt, Terraform, Docker and CI/CD Driving Data Mesh adoption, domain ownership, and interoperable data products Setting modelling standards across raw, curated and semantic layers Embedding governance covering lineage, MDM, data quality, PII and compliance Mentoring and challenging senior engineers to maintain high standards You will work closely with Architects and Platform Engineering to ensure performance, cost control, security and scalability across the GCP estate. What They Need 10+ years in Data Engineering Clear, demonstrable experience leading engineers at Lead/Principal level Deep, hands-on GCP experience (this is essential) Strong SQL and Python expertise Experience building cloud-native data platforms end-to-end Strong background in Data Lake/Warehouse architecture Proven experience implementing CI/CD and infrastructure as code Confidence to challenge stakeholders and influence technical direction Candidates without strong, proven leadership experience in enterprise-scale environments will not be considered. Why Join? You'll be joining at a pivotal stage in the evolution of a 100% cloud-native platform. The foundations are in place, but the Data Mesh journey is still being shaped. This is a genuine opportunity to influence architecture, standards, and the long-term engineering strategy - fully remote, with executive backing and real scope for impact. Apply now to speak with VIQU IT in confidence. Or contact Aaron Chiverton on the VIQU website. Know someone great? Refer them and receive up to £1,000 if successful (terms apply).

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.

Job Title: Principal Developer Team Lead Salary: £51,400 - £68,800 Location: Cambridge/Hybrid Contract: Permanent This Principal Developer Team Lead position offers a pivotal opportunity to shape the technical future of a world-renowned academic organisation. You'll spearhead the migration of enterprise systems to cutting-edge cloud-native AWS architectures, while balancing hands-on technical leadership with people management responsibilities. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. About the role We're seeking a hands-on Principal Developer Team Lead to drive the technical transformation of our Exam Technology Organisation as we migrate legacy enterprise applications to modern, cloud-native architectures on AWS. You'll balance technical leadership with people management, leading a team of 4-8 developers while establishing the foundations for our future technology stack. Your initial focus will be on two strategic priorities: Evolving our SRE function - Building the DevOps infrastructure, automation, and tooling that enables Site Reliability Engineering practices across development and operations teams Advancing our AI development practice - Establishing standards, frameworks, and best practices for responsibly integrating AI capabilities into our education platforms. What You'll Do Technical Leadership Lead migration of legacy applications to cloud-native AWS architectures Build DevOps automation to support SRE practices Establish AI/ML development standards and frameworks Set observability, monitoring, and incident response standards Promote best practices in web, event-driven, and cloud-native technologies Provide technical expertise and oversee code reviews People Leadership Manage and mentor a team of 4-8 developers, providing coaching, development plan Identifying training needs in AI/ML and SRE. Support recruitment and foster a culture of continual improvement and wellbeing. Delivery & Collaboration Deliver software in agile squads Collaborate with architects, SREs, product owners, and infrastructure teams Liaise with stakeholders to identify education sector needs Plan and estimate migrations and feature delivery Coordinate with service management, security, and AWS experts About you Essentialexperience Degree or equivalent Proven technical team leadership Skilled in two or more modern programming languages Experience with AWS cloud and infrastructure DevOps skills: automation, CI/CD, infrastructure-as-code Understanding of SRE and observability Experience in web-apps and modern frameworks Strong communicator with technical and non-technical audiences Technical Expertise CI/CD pipelines, automation frameworks, and developer tooling Observability tools, monitoring, logging, and alerting systems Responsible AI practices and governance Event-driven architecture and microservices patterns Software design patterns and scalability best practices Security principles in cloud environments Leadership Qualities Ability to set technical standards and provide thought leadership Experience balancing people management with hands-on contribution Strong mentoring and coaching skills Collaborative approach that builds trust across teams Passion for continuous learning in AI/ML and DevOps Promotes inclusion and continuous improvement You'll be instrumental in our digital transformation, establishing the foundations for reliable, innovative systems that serve millions of learners, teachers, and researchers worldwide. By evolving our SRE function and advancing our AI practice, you'll empower teams to deliver high-performance solutions while responsibly harnessing cutting-edge technologies. If you would like to know more about this opportunity and what will make you successful, please see the full job description attached to the bottom of this vacancy on our careers site. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package , featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability. Ready to pursue your potential? Apply now. We review applications on an ongoing basis, with a closing date for all applications being 16th April 2026. As part of the application process you can expect: Two questions to select one answer from multiple options. A 15-minute screening call with the Hiring Manager. First stage interview via MS Teams or in person. You will be provided with a brief to complete a role related task which will need to be returned by email in advance of your interview. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Why join us Joining us is your opportunity to pursue potential. You'll belong to a collaborative team that's exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it's safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.

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.

Principal Engineer/Architect Leeds (Hybrid - 2 days per week in office) £70,000 - £80,000 + strong pension + private healthcare My client is continuing to expand their SaaS platform and is now seeking a Principal Engineer/Architect to take ownership of the technical direction, architectural evolution and innovation strategy. This is a senior, hands-on technical leadership role focused on ensuring the platform remains scalable, maintainable and performant as the organisation grows. You will work across all engineering teams to define architectural standards, guide complex technical decisions and lead initiatives that strengthen performance, reliability, technical sustainability and innovation. What will you do in the role? Architecture Governance Define and maintain system architecture standards Guide the evolution of platform architecture Support major technical decisions across engineering teams Review and approve complex technical designs Technical Debt and Modernisation Define and maintain a technical debt roadmap Lead initiatives such as Front End modernisation and system restructuring Improve the long-term maintainability of the platform Performance Engineering Identify and resolve system performance bottlenecks Lead database performance optimisation efforts Improve platform scalability and reliability Technical Leadership Mentor developers and Team Leads Support problem-solving for complex technical challenges Promote best practices in software design and development Platform Collaboration Work closely with Platform Engineers on infrastructure improvements Enhance CI/CD architecture and deployment processes Improve system monitoring and observability Data and Innovation Support development of data platform capabilities (eg, ClickHouse, ElasticSearch) Explore AI and automation opportunities within the platform Drive innovation aligned with organisational needs Research and Development Define and lead the technical R&D strategy Identify and evaluate emerging technologies, tools and architectural approaches Run proofs-of-concept to validate new ideas Translate R&D findings into deliverable capabilities Establish structured experimentation with clear success criteria Keep the organisation informed of relevant technology trends Contribute to a culture of continuous improvement and innovation What skills and experience will you already have? Essential 6+ years' experience in software development Experience designing and evolving large-scale systems Strong background in .NET and cloud-based architectures Experience with performance tuning and optimisation Degree in Computer Science or equivalent experience Deep understanding of software architecture principles Strong coding ability (C#, SQL, etc.) Experience with system integration patterns Strong analytical and problem-solving skills Ability to balance innovation with delivery needs Strong ability to assess new technologies and communicate trade-offs Strong understanding of performance optimisation techniques Experience with modern Front End frameworks (eg React) Desirable Experience with AWS Experience with distributed systems Experience with data platforms or analytics systems Experience contributing to R&D or innovation initiatives Experience evaluating and prototyping new technologies Exposure to AI/ML and emerging technology trends Experience introducing new technologies into production environments Personal Qualities Highly analytical and detail-oriented Strong technical leadership presence Ability to influence without direct authority Passion for engineering excellence Pragmatic and outcome-focused Curious and forward-thinking mindset Comfortable operating in ambiguity Strong commercial awareness when assessing innovation If you're looking for a senior technical leadership role where you can shape architectural direction, modernise a growing platform and lead high-impact engineering initiatives, please apply to find out more. Please note: Sponsorship is not available for this role. Applicants must already have the right to work in the UK. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

verview We re supporting a leading engineering organisation in the appointment of a Principal Embedded Displays Software Engineer to lead the development of advanced Human Machine Interface (HMI) applications for next-generation embedded display systems. This is a senior, hands-on technical leadership role where you ll define architecture, drive best practice, and deliver high-quality, intuitive user interfaces using Qt. You ll also play a key role in mentoring engineers and shaping the direction of embedded display software development. Key Responsibilities Lead the design and development of HMI applications using Qt (C++ / QML) Define and own software architecture, ensuring scalability, performance, and maintainability Set and enforce coding standards and engineering best practices Provide technical leadership, mentoring, and guidance to software engineers Collaborate with hardware, UX/UI, and systems teams to ensure seamless integration Conduct code reviews and support resolution of complex technical issues Optimise application performance, reliability, and user experience Drive innovation and continuous improvement across embedded display technologies Contribute to project planning, delivery, and technical decision-making Remain hands-on while influencing technical direction across the team Key Requirements Strong experience developing HMI applications using Qt (C++ and QML) Proven experience in a senior or principal-level embedded software role Demonstrated ability to lead, mentor, or guide engineering teams Strong understanding of embedded systems and real-time software development Experience designing software architecture using object-oriented principles Excellent problem-solving skills and ability to work in fast-paced environments Desirable Experience Experience with Linux-based embedded platforms Knowledge of graphics technologies such as OpenGL Exposure to Agile development methodologies Strong stakeholder communication skills across technical and non-technical teams Degree in Computer Science, Software Engineering, or a related discipline Key Competencies Technical leadership and decision-making capability Strong communication and influencing skills Collaborative approach across multidisciplinary teams Ability to balance hands-on development with strategic oversight Continuous improvement mindset Why Apply? This is an opportunity to take a leading role in shaping cutting-edge embedded HMI solutions within a highly technical environment. You ll have real influence over architecture, team development, and product delivery, working on innovative technologies at scale.

Senior C++ Software Developer, Python - Financial/Banking Candidates will have 7+ years C++ experience (ideally more) and excellent knowledge of Python - ideally coming from a Financial/Banking background with knowledge of Equities, Futures & Options and Fixed Income and Exchange Connectivity, Fix Protocol with some Low Latency experience. SKILLS DEPENDENT: There may be the opportunity to take on a Principal Engineers role depending on previous experience. Job Overview You will work with the Product, Infrastructure and QA teams, to produce high performance, low latency and highly reliable code. Your goal will be to develop software which handle large amount of TPS to drive a highly efficient technology used by several markets around the world. To be successful in this role as a Senior Software Engineer C++, you will be a proponent of agile methodology and modern software best practices. You can produce detailed technical work in OOP and work with other members of the Development team to produce code of high-quality standards. Ideally, you should have worked in critical systems development in the past. Responsibilities and Duties Codes, tests, integrates, and documents software. Provides technical leadership to more junior employees and other teams. Apply principles and techniques of computer science, engineering, and mathematical analysis to the development of complex products. Participate as a Subject Matter Expert in internal review of software components and systems. Work on the hardest technical problems facing the company, often these problems are unusually complex and require the utmost creativity and innovation. Apply and champion the appropriate standards, processes, procedures, and tools throughout the system development life cycle to support the generation of technical engineering products. Keep abreast of technology trends and champion new ideas and process improvements. Required Skills/Experience 7+ years development experience in C++ 11 and Boost creating performant, scalable applications. 2+ years of experience in networking (UDP, Multicasting, TCP, etc ), messaging, and algorithms. 2+ years of experience on Linux systems. Good understanding of modern development best practices and methodologies and good knowledge of Git/GitHub. Python, including Pytest. Knowledge of capital markets exchange connectivity on stocks (Fixed Income and derivatives is a plus), including exchange protocols such as FIX and SBE. Most importantly, a drive to solve complex technological and trading challenges with a great team of talented developers. Comfortable using Agile methodology, including continuous integration, sprints, Jira and the relevant processes and workflow. Some understanding and usage of cloud technology is a plus but not mandatory.

PRINCIPAL CYBERSECURITY ENGINEER SC Cleared - UK Only - (Sponsorship is unavailable) you must hold SC Clearance.Provide expert advice on the defences against cyber threats, data breaches, and emerging risks. This includes offering guidance on the selection, design, justification, implementation, and operational management of cybersecurity strategies, technologies, and standards. Contribute to the development and refinement of controls and processes to ensure the safety, confidentiality, integrity, availability, and overall security of data stored on systems. You will be responsible for identifying gaps in existing cybersecurity policies and procedures and, in collaboration with security, network, information governance, and technical leads, developing new measures to address these gaps. KEY RESPONSIBILITIES: You will work closely with system and service owners, as well as internal and external stakeholders, to design, implement, and enforce appropriate protective and detective security controls, policies, and procedures. The role includes the administration and operational management of security tooling and SIEM platforms, with responsibility for monitoring, detecting, and responding to cyber threats, intrusions, and unauthorised or suspicious activity. This includes Microsoft Sentinel (data and source tuning, creation and maintenance of workbooks and connectors, and threat intelligence review), Microsoft Defender for Endpoint and Defender for Cloud, and Darktrace, including system and model tuning, email module management, and configuration of autonomous response actions. You will be responsible for incident response activities, including triaging security alerts, investigating incidents, coordinating escalation and remediation, and conducting root cause analysis. You must be able to communicate effectively about security incidents and cyber risks to both technical and non-technical stakeholders. The role works closely with the Security Operations Centre (SOC) partner, supporting the assessment and investigation of alerts and contributing to the development and refinement of incident response plans and playbooks. You will support vulnerability management activities, including vulnerability assessments, annual audits, and penetration testing. This includes preparing and presenting incident, threat, and compliance reporting to stakeholders at all levels, including compiling a monthly SIRO report. Continuous improvement is a core responsibility. You will conduct post-incident reviews, recommend control and process improvements, and contribute to the creation and maintenance of cybersecurity governance documentation. You will also research emerging cyber threats and mitigation strategies and provide reports or presentations to senior stakeholders as required. The role supports cybersecurity training and awareness initiatives, promoting a strong security culture and helping to upskill colleagues in cybersecurity best practices. You will also collaborate with solution architects and project teams to ensure security is embedded into system and application designs, supporting secure architecture and delivery from the outset. Compliance & Framework Alignment: Ensure security operations align with regulatory standards and frameworks such as NIST, ISO 27001, and NCSC CAF. Person SpecificationEssential: Demonstrated experience with Microsoft Sentinel, Microsoft Defender for Endpoint/Cloud SIEM tools, threat intelligence platforms, and vulnerability management. Technical experience securing Microsoft Azure and Amazon Web Services cloud environments as well as on-premise/virtual Microsoft technologies. Strong analytical, communication, and problem-solving skills, including the ability to produce clear technical and non-technical reports. Ability to analyse and interpret security events/logs and perform remediation work to address security issues. Desirable: Recognised cybersecurity certifications (e.g., CompTIA Security+, CEH, GIAC, CISSP). Experience with DarkTrace Qualifications Bachelor's degree in Cybersecurity or Computer Science Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Lead technically complex RF programmes across aerospace, defence and space projects, combining hands on engineering with real leadership influence. About the Opportunity An advanced engineering organisation working on cutting edge aerospace, defence, and space platforms is seeking an experienced RF Engineering Lead to join its growing Engineering function. The team designs and delivers high performance RF and microwave systems used in mission critical environments where reliability, innovation, and engineering rigour are essential This role sits at the heart of complex product development programmes, taking ownership of RF system architecture, detailed design, and delivery across the full life cycle - from concept and bid support through to production and in service support. Who This Role Would Suit This position is ideal for an experienced senior or principal RF engineer who enjoys technical leadership as much as hands on problem solving. You'll suit this role if you like influencing design direction, mentoring engineers, and acting as a technical authority while still staying close to the engineering detail. If you are motivated by technically challenging projects, long term product development, and seeing your designs move into real world, safety critical applications, this role offers both depth and progression. Benefits of the Role Senior technical leadership position with genuine design authority Work on complex RF, microwave, radar, telemetry, and communications systems Involvement across the full product life cycle (concept to production) Leadership and line management responsibility within a specialist RF team Exposure to high reliability, regulated engineering environments Opportunity to influence engineering strategy, tools, and best practice Competitive salary package (commensurate with experience) Flexible working arrangements (subject to project requirements) Strong long term career development within advanced engineering programmes Requirements for Application Eligibility for full security clearance is essential Bachelor's or Master's degree in Electronic Engineering or a closely related discipline Extensive experience in RF and microwave engineering, including: RF circuit and subsystem design System architecture definition, cascade analysis, and link budgets Integration and verification of RF systems Proven delivery of RF projects within aerospace, defence, space, or other high reliability sectors Strong hands on experience with RF simulation and analysis tools such as ADS, AWR, HFSS, CST, MATLAB Practical laboratory experience using RF test equipment (eg VNAs, spectrum analysers) Experience leading technical teams and managing engineering activities Familiarity with structured product development life cycles and regulated standards Beneficial for Application Experience acting as technical authority at design reviews (PDR, CDR, TRR) Background in radar, satellite communications, or telemetry systems Experience supporting NPI and transition from design to manufacture Involvement in bid, proposal, or customer facing technical activities Strong mentoring, coaching, and performance management capability Passion for continuous improvement in RF design methods and tools If you are generally interested in roles in this sector, or know anyone else who is, please contact Sheridan Halls at Pure Resourcing Solutions for more information. We have a number of roles coming out all the time, not all of which are advertised publicly. Provide your feedback on BizChat

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.

Job Title: Principal Engineer - Communications Location: Barrow, Hybrid We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Competitive Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you will be doing: In this role, you will lead the design and delivery of communications and audio systems for naval vessels, defining system requirements and engineering standards to develop effective solutions for complex submarine environments. You will produce technical documentation, develop testing protocols and support installation and commissioning activities. You will analyse test results, conduct technical studies to validate system performance, and collaborate with engineering and project teams on cost estimation, risk assessments and mitigation strategies, while supporting Factory Acceptance Testing to ensure equipment quality before installation. Core duties: Lead the design and integration of communications and audio systems across submarine platforms, defining system requirements, architecture and engineering standards to deliver robust and effective technical solutions. Produce high-quality technical documentation including system specifications, engineering calculations, design reports and user documentation, demonstrating strong technical writing and documentation capability. Define and support system testing protocols, including installation, commissioning and dockside activities, ensuring systems meet required operational performance, safety and reliability standards. Analyse , interpret and present qualification and test results to internal stakeholders and customers, ensuring compliance with defined technical requirements and operational expectations. Conduct technical studies, verification and validation activities to confirm that system designs meet engineering specifications and operational needs. Contribute technical expertise to engineering and project teams, supporting cost estimation, technical risk assessments and mitigation strategies for complex communications solutions. Support Factory Acceptance Testing (FAT) of supplier equipment when required, ensuring system performance and quality prior to delivery and installation. Hold a BEng/BSc or MEng/MSc in a relevant discipline (e.g. Communications, Electrical, Telecommunications, Electronic or Audio Engineering) or equivalent experience, with proven system or equipment design experience and expertise in areas such as VoIP, PBX systems, acoustic modelling, radio or safety-critical communications systems; CEng and defence or marine standards knowledge desirable. The Submarine Communications Team: As a Principal Engineer - Communications, you will collaborate with the internal communications design team to undertake a variety of design activities related to data networks, communication systems and associated equipment for submarine platforms. This role offers excellent exposure across the organisation, providing opportunities to engage with stakeholders at multiple levels. It also provides strong professional development prospects, enabling progression toward senior technical roles such as Consultant Engineer or into engineering leadership pathways. Relocation support may be available for submarine roles, subject to eligibility criteria. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. Closing Date: 28th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

Job Title: Principal Engineer - Communications Location: Barrow, Hybrid We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Competitive Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you will be doing: In this role, you will lead the design and delivery of communications and audio systems for naval vessels, defining system requirements and engineering standards to develop effective solutions for complex submarine environments. You will produce technical documentation, develop testing protocols and support installation and commissioning activities. You will analyse test results, conduct technical studies to validate system performance, and collaborate with engineering and project teams on cost estimation, risk assessments and mitigation strategies, while supporting Factory Acceptance Testing to ensure equipment quality before installation. Core duties: Lead the design and integration of communications and audio systems across submarine platforms, defining system requirements, architecture and engineering standards to deliver robust and effective technical solutions. Produce high-quality technical documentation including system specifications, engineering calculations, design reports and user documentation, demonstrating strong technical writing and documentation capability. Define and support system testing protocols, including installation, commissioning and dockside activities, ensuring systems meet required operational performance, safety and reliability standards. Analyse , interpret and present qualification and test results to internal stakeholders and customers, ensuring compliance with defined technical requirements and operational expectations. Conduct technical studies, verification and validation activities to confirm that system designs meet engineering specifications and operational needs. Contribute technical expertise to engineering and project teams, supporting cost estimation, technical risk assessments and mitigation strategies for complex communications solutions. Support Factory Acceptance Testing (FAT) of supplier equipment when required, ensuring system performance and quality prior to delivery and installation. Hold a BEng/BSc or MEng/MSc in a relevant discipline (e.g. Communications, Electrical, Telecommunications, Electronic or Audio Engineering) or equivalent experience, with proven system or equipment design experience and expertise in areas such as VoIP, PBX systems, acoustic modelling, radio or safety-critical communications systems; CEng and defence or marine standards knowledge desirable. The Submarine Communications Team: As a Principal Engineer - Communications, you will collaborate with the internal communications design team to undertake a variety of design activities related to data networks, communication systems and associated equipment for submarine platforms. This role offers excellent exposure across the organisation, providing opportunities to engage with stakeholders at multiple levels. It also provides strong professional development prospects, enabling progression toward senior technical roles such as Consultant Engineer or into engineering leadership pathways. Relocation support may be available for submarine roles, subject to eligibility criteria. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. Closing Date: 28th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

Job Title: Principal Engineer - Communications Location: Barrow, Hybrid We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Competitive Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you will be doing: In this role, you will lead the design and delivery of communications and audio systems for naval vessels, defining system requirements and engineering standards to develop effective solutions for complex submarine environments. You will produce technical documentation, develop testing protocols and support installation and commissioning activities. You will analyse test results, conduct technical studies to validate system performance, and collaborate with engineering and project teams on cost estimation, risk assessments and mitigation strategies, while supporting Factory Acceptance Testing to ensure equipment quality before installation. Core duties: Lead the design and integration of communications and audio systems across submarine platforms, defining system requirements, architecture and engineering standards to deliver robust and effective technical solutions. Produce high-quality technical documentation including system specifications, engineering calculations, design reports and user documentation, demonstrating strong technical writing and documentation capability. Define and support system testing protocols, including installation, commissioning and dockside activities, ensuring systems meet required operational performance, safety and reliability standards. Analyse , interpret and present qualification and test results to internal stakeholders and customers, ensuring compliance with defined technical requirements and operational expectations. Conduct technical studies, verification and validation activities to confirm that system designs meet engineering specifications and operational needs. Contribute technical expertise to engineering and project teams, supporting cost estimation, technical risk assessments and mitigation strategies for complex communications solutions. Support Factory Acceptance Testing (FAT) of supplier equipment when required, ensuring system performance and quality prior to delivery and installation. Hold a BEng/BSc or MEng/MSc in a relevant discipline (e.g. Communications, Electrical, Telecommunications, Electronic or Audio Engineering) or equivalent experience, with proven system or equipment design experience and expertise in areas such as VoIP, PBX systems, acoustic modelling, radio or safety-critical communications systems; CEng and defence or marine standards knowledge desirable. The Submarine Communications Team: As a Principal Engineer - Communications, you will collaborate with the internal communications design team to undertake a variety of design activities related to data networks, communication systems and associated equipment for submarine platforms. This role offers excellent exposure across the organisation, providing opportunities to engage with stakeholders at multiple levels. It also provides strong professional development prospects, enabling progression toward senior technical roles such as Consultant Engineer or into engineering leadership pathways. Relocation support may be available for submarine roles, subject to eligibility criteria. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. Closing Date: 28th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

Job Title: Principal Engineer - Communications Location: Barrow, Hybrid We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Competitive Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. What you will be doing: In this role, you will lead the design and delivery of communications and audio systems for naval vessels, defining system requirements and engineering standards to develop effective solutions for complex submarine environments. You will produce technical documentation, develop testing protocols and support installation and commissioning activities. You will analyse test results, conduct technical studies to validate system performance, and collaborate with engineering and project teams on cost estimation, risk assessments and mitigation strategies, while supporting Factory Acceptance Testing to ensure equipment quality before installation. Core duties: Lead the design and integration of communications and audio systems across submarine platforms, defining system requirements, architecture and engineering standards to deliver robust and effective technical solutions. Produce high-quality technical documentation including system specifications, engineering calculations, design reports and user documentation, demonstrating strong technical writing and documentation capability. Define and support system testing protocols, including installation, commissioning and dockside activities, ensuring systems meet required operational performance, safety and reliability standards. Analyse , interpret and present qualification and test results to internal stakeholders and customers, ensuring compliance with defined technical requirements and operational expectations. Conduct technical studies, verification and validation activities to confirm that system designs meet engineering specifications and operational needs. Contribute technical expertise to engineering and project teams, supporting cost estimation, technical risk assessments and mitigation strategies for complex communications solutions. Support Factory Acceptance Testing (FAT) of supplier equipment when required, ensuring system performance and quality prior to delivery and installation. Hold a BEng/BSc or MEng/MSc in a relevant discipline (e.g. Communications, Electrical, Telecommunications, Electronic or Audio Engineering) or equivalent experience, with proven system or equipment design experience and expertise in areas such as VoIP, PBX systems, acoustic modelling, radio or safety-critical communications systems; CEng and defence or marine standards knowledge desirable. The Submarine Communications Team: As a Principal Engineer - Communications, you will collaborate with the internal communications design team to undertake a variety of design activities related to data networks, communication systems and associated equipment for submarine platforms. This role offers excellent exposure across the organisation, providing opportunities to engage with stakeholders at multiple levels. It also provides strong professional development prospects, enabling progression toward senior technical roles such as Consultant Engineer or into engineering leadership pathways. Relocation support may be available for submarine roles, subject to eligibility criteria. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. Closing Date: 28th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.