5241 jobs found

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As the DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure and processes that enable continuous integration, delivery, and deployment of software applications. This position will also involve collaborating with development and operations teams to streamline workflows, automate repetitive tasks, and ensure the reliability, scalability, and security of the production environment. The position may involve being available for on-call duties as part of a scheduled roster. What you'll do Lead and manage a team of DevOps engineers responsible for the development , deployment, and maintenance of infrastructure and automation systems Oversee the design, implementation , and optimization of DevOps products and workflows Collaborate with cross- functional teams, including product management, operations , video engineering, and monitoring, to ensure seamless delivery of infrastructure services Monitor and troubleshoot infrastructure delivery issues , ensuring high availability , quality of service Implement and manage cost optimization strategies to ensure efficient use of resources and budget control Stay current with industry trends and emerging technologies , incorporating them into the team's projects as appropriate Provide mentorship and professional development opportunities for team members , fostering a culture of continuous learning and improvement Manage team WIP limits , roadmaps, timelines, and resources to ensure successful delivery of multiple projects What you'll bring Experience working on multiple projects as part of a cross- functional team Working with architecture teams to design scalable , fault- tolerant , and cost- efficient solutions Passion for researching and implementing new technologies Experience with mentoring/knowledge-sharing Proven experience in coding with a programming/scripting language (e.g. Java, Golang , Javascript , Python, Bash) Proven experience in IAC frameworks (e.g. Terraform , Ansible , Pulumi ) Proven experience in using LINUX/UNIX Proven experience in using the GitOps approach and related tools (e.g. ArgoCD , FluxCD ) Proven experience in working with DB (RDBMS or NoSQL ) Proven experience in a containerized environment (k8s, docker ) and tools ( kubectl , Helm, kustomize , docker -compose) Proven experience in networking and security standards, protocols and best practices Proven experience in logging systems (e.g. ELK stack ) Proven experience in monitoring systems (e.g. Prometheus ) Proven experience in tracing systems (e.g. OpenTelemetry , Jaeger) Experience in performance optimization and resource management Relevant certifications (AWS, Google) Understanding of Agile methodologies Ability to diagnose and resolve service- affecting issues in a Broadcast/ Livestream environment Pro- active attitude Team overview As a DevOps team within a prestigious broadcasting organization, we work closely with architecture, support , playout , distribution teams, and creative collaborators to bring innovative solutions to life. Our primary goal is to deliver end-to-end systems that meet the unique needs of our customers, starting from the initial concept and design phase all the way through to the deployment of a fully operational, polished product. We pride ourselves on being a small but highly efficient and well-structured team, with clearly defined roles that leverage each member's strengths to ensure seamless project execution. Our collaborative approach and strong communication channels enable us to adapt to dynamic requirements, maintain high-quality standards, and consistently deliver impactful solutions that enhance broadcasting workflows and audience engagement Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content! 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 Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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 Lead 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: Lead the 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. Advanced 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 Lead 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: Lead the 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. Advanced 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.

Location: Abbey Wood / Hybrid Rate: Up to £420/day IR35: Inside IR35 Security Clearance: SC required Contract End Date: 31/03/2026. Good potential to extend. Start Date: ASAP Application Deadline: 21/01/2026 at 13:00 Role Overview We are seeking a Catalyst Safety Engineer to join the Catalyst team within the Defence Airworthiness Team at Abbey Wood. Catalyst is a small, specialist team reporting directly to the Director Rotary Wing / Uncrewed Air Systems, supporting the rapid development of Military Permit To Fly (MPTF) and Release To Service (RTS) evidence for Test & Evaluation activity. This role will support air systems under Project HARBINGER, a UK Defence Innovation programme demonstrating a long-range One-Way Effector at BATUS, Canada. The Catalyst team is responsible for gathering safety evidence to support the Technical Airworthiness Authority and the Air System Safety Case, applying a proportionate and tailored approach to airworthiness using SORA principles. Key Tasks and Deliverables Development of Equipment Contribution Logs for Brakestop platforms Supporting and contributing to Equipment Contribution Working Groups Drafting Equipment Contribution Interface Declarations Supporting development of Brakestop Safety Assessments using SORA Providing Technical Airworthiness Authority SORA safety assessment contributions Supporting development of Safety Management Plan annexes Supporting safety meetings as required, including TAwSP, PSG/PSP and ESRs Producing safety briefings and slide packs for assurance and review meetings Essential Skills and Experience Experience of Air Safety Management within DE&S Understanding of Military Regulatory Publications and the Airworthiness Engineering Team environment Experience of DE&S Air Safety Governance, including AET Process 15 Experience contributing to Equipment Contribution to Risk to Life activities, including AET Process 17 Desirable Skills and Experience Experience conducting Safety Assessments, including AET Process 16 Understanding of SORA methodology Experience working with Uncrewed Air Systems and/or Test & Evaluation activity Additional Information Hybrid working is supported. Catalyst engineers based at Abbey Wood are encouraged to attend the office on Tuesdays, with in-person attendance required for meetings as necessary.

Quality Assurance Manager Location: Wickford, Essex Salary: 40,000 - 50,000 (DOE) Hours: Monday - Thursday 9:00am - 5:00pm and Friday 8:30am - 3:30pm Overview An established precision manufacturing company based in Wickford is seeking an experienced Quality Assurance Manager to join its team. The business manufactures high-precision components for automotive, aerospace, energy, EV and advanced industrial sectors, where quality, traceability and process control are critical. This is a hands-on quality role, combining quality system management with inspection and detailed quality activities. Key Responsibilities Maintain and continuously improve the Integrated Management System (IMS). Ensure compliance with ISO 9001, ISO 14001, AS9100 and customer-specific automotive and aerospace requirements. Lead and support internal audits, external audits and certification visits. Act as the main quality point of contact for customers, suppliers and auditors. Manage customer complaints, non-conformances, concessions and quality alerts to closure. Drive corrective and preventive actions using 8D and CAPA methodologies. Maintain quality registers and monitor internal quality KPIs. Champion continuous improvement activities across the business. Perform and manage inspection, calibration, FAIR and PPAP activities. Manage RoHS, REACH and other compliance documentation. Promote and embed a strong quality culture across the organisation. Skills and Experience Required Proven experience in a Quality Assurance or Quality Manager role within manufacturing. Strong working knowledge of ISO 9001, ISO 14001 and AS9100 . Experience working with automotive and aerospace customers. Ability to manage quality systems alongside hands-on inspection work. Good working knowledge of MS Office including Word, Excel and PowerPoint. Ability to interpret engineering drawings. Excellent attention to detail with clear communication skills. CAD and CMM experience would be preferable but not essential. What's On Offer Salary of 40,000 - 50,000 depending on experience. Monday to Thursday 9:00am - 5:00pm, Friday 8:30am - 3:30pm. 25 days holiday plus bank holidays. Company pension scheme with employer contribution. Free onsite parking. Apply now or contact Julia at Prime Appointments for further information.

Our Client is looking for a skilled and motivated Service Engineer to join their growing team, working across a wide range of HVAC projects. This role is suited to an engineer of proven competence who can contribute to the efficient operation, maintenance, and repair of HVAC equipment while representing the company with professionalism and pride. Key Responsibilities Always demonstrate an excellent attitude and high standard of workmanship Work independently on: Split and multi-split systems DX and CW fan coil units (FCUs) VRV / VRF condensers CRAC units Carry out planned preventative maintenance (PPM) visits on the above equipment Diagnose faults and carry out all types of repairs across the above systems Perform advanced fault-finding and problem-solving Apply a competent understanding of the refrigeration cycle to accurately pinpoint issues Compile dilapidation reports for relevant equipment Complete accurate service and job reports on time and to a high standard Salary & Benefits Competitive salary Company vehicle for business use Company bonus scheme 33 days holiday per annum (inclusive of Bank Holidays) Company pension scheme Training and development opportunities with clear opportunities for progression Travel costs and expenses covered Desired Skills & Characteristics Diploma in Air Conditioning and Refrigeration or equivalent Category 1 F-Gas qualification (or equivalent) Full, clean UK driving license Can-do attitude with a self-motivated approach Excellent communication skills to liaise with clients and colleagues Ability to work on other HVAC equipment is desirable (e.g. Chillers, AHUs, Refrigeration) Ability to use manufacturer service software with a sound understanding of the data

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. As the DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure and processes that enable continuous integration, delivery, and deployment of software applications. This position will also involve collaborating with development and operations teams to streamline workflows, automate repetitive tasks, and ensure the reliability, scalability, and security of the production environment. The position may involve being available for on-call duties as part of a scheduled roster. What you'll do Lead and manage a team of DevOps engineers responsible for the development , deployment, and maintenance of infrastructure and automation systems Oversee the design, implementation , and optimization of DevOps products and workflows Collaborate with cross- functional teams, including product management, operations , video engineering, and monitoring, to ensure seamless delivery of infrastructure services Monitor and troubleshoot infrastructure delivery issues , ensuring high availability , quality of service Implement and manage cost optimization strategies to ensure efficient use of resources and budget control Stay current with industry trends and emerging technologies , incorporating them into the team's projects as appropriate Provide mentorship and professional development opportunities for team members , fostering a culture of continuous learning and improvement Manage team WIP limits , roadmaps, timelines, and resources to ensure successful delivery of multiple projects What you'll bring Experience working on multiple projects as part of a cross- functional team Working with architecture teams to design scalable , fault- tolerant , and cost- efficient solutions Passion for researching and implementing new technologies Experience with mentoring/knowledge-sharing Proven experience in coding with a programming/scripting language (e.g. Java, Golang , Javascript , Python, Bash) Proven experience in IAC frameworks (e.g. Terraform , Ansible , Pulumi ) Proven experience in using LINUX/UNIX Proven experience in using the GitOps approach and related tools (e.g. ArgoCD , FluxCD ) Proven experience in working with DB (RDBMS or NoSQL ) Proven experience in a containerized environment (k8s, docker ) and tools ( kubectl , Helm, kustomize , docker -compose) Proven experience in networking and security standards, protocols and best practices Proven experience in logging systems (e.g. ELK stack ) Proven experience in monitoring systems (e.g. Prometheus ) Proven experience in tracing systems (e.g. OpenTelemetry , Jaeger) Experience in performance optimization and resource management Relevant certifications (AWS, Google) Understanding of Agile methodologies Ability to diagnose and resolve service- affecting issues in a Broadcast/ Livestream environment Pro- active attitude Team overview As a DevOps team within a prestigious broadcasting organization, we work closely with architecture, support , playout , distribution teams, and creative collaborators to bring innovative solutions to life. Our primary goal is to deliver end-to-end systems that meet the unique needs of our customers, starting from the initial concept and design phase all the way through to the deployment of a fully operational, polished product. We pride ourselves on being a small but highly efficient and well-structured team, with clearly defined roles that leverage each member's strengths to ensure seamless project execution. Our collaborative approach and strong communication channels enable us to adapt to dynamic requirements, maintain high-quality standards, and consistently deliver impactful solutions that enhance broadcasting workflows and audience engagement Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content! 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 Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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 Lead 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: Lead the 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. Advanced 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 Lead 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: Lead the 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. Advanced 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.

Drainage Engineer for a nationwide, Plumbing and Drainage company. The Drainage Engineer will work in commercial sites, such as, care homes, commercial buildings, restaurants & pub chains. Job Specification Perform unblocks with the use of HPWJ. Drain repairs. CCTV Surveys. Drain mapping and locating. Operate rotary machines. Requirements for a Drainage Engineer Must have experience as a Drainage Engineer. Confined Space. Street works. HPWJ experiance. Ability to lift manholes. Excellent communication. Excellent customer service skills. Basic Plumbing skills desirable but not essential. Good work ethic. Benefits Salary depends on experience. Company vehicle & fuel card. Uniform & equipment. Call out rota. 20 days holiday + BH. Pension Scheme. Opportunity to join a successful company and progress your career.

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. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: - Mentorship, Lead;ership & Design Excellence Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health. Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture. Champion best practices and elevate design thinking through leadership, example, and active contribution. Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles. Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts. Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism. Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring : Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead . Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams. Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes. A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs . Excellent presentation skills, with the ability to tailor delivery appropriately to audience. Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. 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 Lead 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: Lead the 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. Advanced 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: Processing Sections Manager Location: Driffield Salary: Circa £35,000, Negotiable depending in experience Hours of Work: 6.20am to 5pm, Monday to Thursday About the Opportunity We are seeking a high-calibre Sections Manager to lead our daily operations across Lairage, Slaughter, Evisceration, and Chick Sort including managing a team of 30 staff, maintaining production standards, ensuring animal welfare and WATOK licensing compliance. This is a critical leadership role dedicated to maintaining world-class production standards, uncompromising animal welfare, and operational excellence. The successful candidate will be a proactive problem-solver, with experience of managing a large team in a busy food processing operation. Key Responsibilities Operational Leadership: Plan and allocate resources (staffing, budgets, materials) to meet daily throughput and quality targets. Compliance & Welfare: Ensure 100% compliance with WATOK regulations, food safety protocols, and Health & Safety legislation. Oversee internal and external audits. Team Management: Lead, motivate, and develop a team of Team Leaders and operatives. Responsible for performance management, appraisals, and succession planning. Continuous Improvement: Drive process enhancements using Lean methodologies (e.g., 5 Whys) to reduce costs and improve yield. Stakeholder Collaboration: Coordinate with Engineering, Technical, Sales, and Planning departments to streamline factory performance. What We Are Looking For Essential Criteria: Food Industry Experience: Proven background in the food industry with a deep understanding of primary processing. Leadership: Significant experience managing large teams within a fast-paced food processing environment. Compliance Knowledge: Certification in Food Hygiene standards. Technical Skills: Proficient in data analysis (Excel/Word) with the ability to write reports and manage budgets. Problem Solving: A strategic thinker who is "hands-on" when addressing mechanical or operational discrepancies. Desirable Criteria: Formal Management qualification. Specific experience in the poultry or meat processing industry. Personal Attributes Confident & Driven: Ability to challenge the status quo and drive high performance. Resilient: Comfortable multi-tasking in a high-pressure environment. Emotionally Intelligent: Capable of managing conflict and fostering a positive, inclusive workplace culture. How to Apply If you are a proactive leader with a passion for operational excellence and animal welfare, we want to hear from you. Closing date: 16.02.2026 (this may be brought forward depending on successful applications) Hawk 3 Talent Solutions are operating as an employment agency on behalf of its client. To Apply please follow the application process for the site this job is advertised on or email your CV to (url removed) . By applying for the above position and providing your personal data to us you understand that your data will be processed in line with our Privacy Policy. To view our full Privacy Policy please visit our website. Hawk 3 Talent Solutions are committed to the selection, recruitment, and development of the best people, basing judgements solely on suitability for the job. Whilst we endeavour to respond to all applications individually, due to high volumes, this is not always possible. Thank you for your interest in this role and we look forward to working with you in the future.

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 Lead 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: Lead the 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. Advanced 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 Lead 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: Lead the 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. Advanced 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 Lead 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: Lead the 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. Advanced 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. As the DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure and processes that enable continuous integration, delivery, and deployment of software applications. This position will also involve collaborating with development and operations teams to streamline workflows, automate repetitive tasks, and ensure the reliability, scalability, and security of the production environment. The position may involve being available for on-call duties as part of a scheduled roster. What you'll do Lead and manage a team of DevOps engineers responsible for the development , deployment, and maintenance of infrastructure and automation systems Oversee the design, implementation , and optimization of DevOps products and workflows Collaborate with cross- functional teams, including product management, operations , video engineering, and monitoring, to ensure seamless delivery of infrastructure services Monitor and troubleshoot infrastructure delivery issues , ensuring high availability , quality of service Implement and manage cost optimization strategies to ensure efficient use of resources and budget control Stay current with industry trends and emerging technologies , incorporating them into the team's projects as appropriate Provide mentorship and professional development opportunities for team members , fostering a culture of continuous learning and improvement Manage team WIP limits , roadmaps, timelines, and resources to ensure successful delivery of multiple projects What you'll bring Experience working on multiple projects as part of a cross- functional team Working with architecture teams to design scalable , fault- tolerant , and cost- efficient solutions Passion for researching and implementing new technologies Experience with mentoring/knowledge-sharing Proven experience in coding with a programming/scripting language (e.g. Java, Golang , Javascript , Python, Bash) Proven experience in IAC frameworks (e.g. Terraform , Ansible , Pulumi ) Proven experience in using LINUX/UNIX Proven experience in using the GitOps approach and related tools (e.g. ArgoCD , FluxCD ) Proven experience in working with DB (RDBMS or NoSQL ) Proven experience in a containerized environment (k8s, docker ) and tools ( kubectl , Helm, kustomize , docker -compose) Proven experience in networking and security standards, protocols and best practices Proven experience in logging systems (e.g. ELK stack ) Proven experience in monitoring systems (e.g. Prometheus ) Proven experience in tracing systems (e.g. OpenTelemetry , Jaeger) Experience in performance optimization and resource management Relevant certifications (AWS, Google) Understanding of Agile methodologies Ability to diagnose and resolve service- affecting issues in a Broadcast/ Livestream environment Pro- active attitude Team overview As a DevOps team within a prestigious broadcasting organization, we work closely with architecture, support , playout , distribution teams, and creative collaborators to bring innovative solutions to life. Our primary goal is to deliver end-to-end systems that meet the unique needs of our customers, starting from the initial concept and design phase all the way through to the deployment of a fully operational, polished product. We pride ourselves on being a small but highly efficient and well-structured team, with clearly defined roles that leverage each member's strengths to ensure seamless project execution. Our collaborative approach and strong communication channels enable us to adapt to dynamic requirements, maintain high-quality standards, and consistently deliver impactful solutions that enhance broadcasting workflows and audience engagement Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content! 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 Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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 Lead 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: Lead the 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. Advanced 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. As the DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure and processes that enable continuous integration, delivery, and deployment of software applications. This position will also involve collaborating with development and operations teams to streamline workflows, automate repetitive tasks, and ensure the reliability, scalability, and security of the production environment. The position may involve being available for on-call duties as part of a scheduled roster. What you'll do Lead and manage a team of DevOps engineers responsible for the development , deployment, and maintenance of infrastructure and automation systems Oversee the design, implementation , and optimization of DevOps products and workflows Collaborate with cross- functional teams, including product management, operations , video engineering, and monitoring, to ensure seamless delivery of infrastructure services Monitor and troubleshoot infrastructure delivery issues , ensuring high availability , quality of service Implement and manage cost optimization strategies to ensure efficient use of resources and budget control Stay current with industry trends and emerging technologies , incorporating them into the team's projects as appropriate Provide mentorship and professional development opportunities for team members , fostering a culture of continuous learning and improvement Manage team WIP limits , roadmaps, timelines, and resources to ensure successful delivery of multiple projects What you'll bring Experience working on multiple projects as part of a cross- functional team Working with architecture teams to design scalable , fault- tolerant , and cost- efficient solutions Passion for researching and implementing new technologies Experience with mentoring/knowledge-sharing Proven experience in coding with a programming/scripting language (e.g. Java, Golang , Javascript , Python, Bash) Proven experience in IAC frameworks (e.g. Terraform , Ansible , Pulumi ) Proven experience in using LINUX/UNIX Proven experience in using the GitOps approach and related tools (e.g. ArgoCD , FluxCD ) Proven experience in working with DB (RDBMS or NoSQL ) Proven experience in a containerized environment (k8s, docker ) and tools ( kubectl , Helm, kustomize , docker -compose) Proven experience in networking and security standards, protocols and best practices Proven experience in logging systems (e.g. ELK stack ) Proven experience in monitoring systems (e.g. Prometheus ) Proven experience in tracing systems (e.g. OpenTelemetry , Jaeger) Experience in performance optimization and resource management Relevant certifications (AWS, Google) Understanding of Agile methodologies Ability to diagnose and resolve service- affecting issues in a Broadcast/ Livestream environment Pro- active attitude Team overview As a DevOps team within a prestigious broadcasting organization, we work closely with architecture, support , playout , distribution teams, and creative collaborators to bring innovative solutions to life. Our primary goal is to deliver end-to-end systems that meet the unique needs of our customers, starting from the initial concept and design phase all the way through to the deployment of a fully operational, polished product. We pride ourselves on being a small but highly efficient and well-structured team, with clearly defined roles that leverage each member's strengths to ensure seamless project execution. Our collaborative approach and strong communication channels enable us to adapt to dynamic requirements, maintain high-quality standards, and consistently deliver impactful solutions that enhance broadcasting workflows and audience engagement Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content! 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 Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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 Lead 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: Lead the 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. Advanced 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.