1768 jobs found

Konker is delighted to be recruiting for a skilled Architectural Technologist to join a medium sized practice in Manchester, who work predominantly across the residential sector. They are split across two offices, another in Liverpool, with a close-knit team of around 22 people. The practice works across a diverse and stimulating portfolio of projects, ranging from bespoke one-off homes and large-scale housebuilder layouts to high-rise residential schemes. Their work also includes master planning, later-living developments and regeneration projects. Typically taking all from concept through to completion, focusing on end user needs. As an Architectural Technologist, you ll play a key role in technical delivery, working across a diverse range of residential and regeneration projects. A collaborative approach, enthusiasm for teamwork, and a genuine passion for contributing to thoughtful, people-focused spaces are essential. The studio uses both AutoCAD and Revit, depending on the project type. Revit is primarily used on high-rise schemes, while AutoCAD is favoured for housebuilder layouts. Experience in either software is welcomed, and support and training are available for AutoCAD users who wish to develop their Revit skills. This is an Investors in People accredited practice that truly values its staff. They actively encourage personal growth, ongoing learning and exploring new areas of interest. The studio culture is open, inclusive and collaborative, with a strong emphasis on wellbeing and team connection - from shared lunchtimes to quarterly social events. In return you ll benefit from: Revit training (if required) A generous holiday allowance plus a Christmas closure Hybrid working and flexible start/finish times A comprehensive professional development programme Professional fees paid Discretionary bonus scheme Regular CPD sessions Charity and community events Private medical insurance via Medicash Company pension scheme Paid exam fees and study leave Salary: £32,000 £40,000, depending on experience. This is a fantastic opportunity to join a people-first practice with a strong residential focus, an outstanding culture, and clear commitment to professional development. If you would like to learn more about this Architectural Technologist role, please contact Sara Williams at the Konker group to find out more. (url removed) / (phone number removed) Position: Architectural Technologist Location: Manchester

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

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

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

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies. Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate. Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery. Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge. Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation. Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring; You bring deep domain expertise and the confidence to lead in complex, ambiguous situations. Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities. Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines. Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting. Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts. Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale" Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities" Embedding best practice technologies and championing their adoption to further"consolidate"technology choices" Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation" Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about ! Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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's 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. OR Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. 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. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

CAD Data Quality Analyst / CAD Author £30.27/hr umbrella rate Do you have a strong technical understanding of automotive architectures, systems, or commodities and proficiency with PLM and CAD tools, including Dassault Systèmes 3DEXPERIENCE, CATIA V5, and Siemens Teamcenter? Are you ready to take your career to the next level with a role that combines innovation, precision, and the opportunity to work on cutting-edge projects? As a CAD Data Quality Analyst, you'll play a pivotal role in shaping the future of automotive engineering. This is your chance to be part of a dynamic team that bridges the gap between virtual and physical vehicle validation, ensuring exceptional quality standards are met at every stage. If you're passionate about data quality and problem-solving, this is the opportunity you've been waiting for. What You Will Do: - Inspect and analyse engineering geometry to proactively identify potential issues in CAD data. - Collaborate with cross-functional teams to present findings during CAD reviews and support issue resolution. - Document and communicate issues in a clear and concise manner to ensure engineers understand and address them effectively. - Drive compatibility of CAD data to support the virtual and physical validation of future vehicle programmes. - Maintain a high standard of output, consistently supporting quality improvement and process optimisation. - Work independently while seeking clarification and support when required to meet project timelines. What You Will Bring: - Proficiency with PLM and CAD tools, including Dassault Systèmes 3DEXPERIENCE, CATIA V5, and Siemens Teamcenter. - Strong technical understanding of automotive architectures, systems, or commodities. - Excellent communication skills, with the ability to simplify complex information and present it clearly. - Exceptional attention to detail and a methodical approach to problem-solving. - Proven ability to manage workloads, prioritise tasks, and deliver within agreed timelines. This role is a vital part of the company's mission to optimise virtual capabilities, reduce costs, and enhance the quality of their vehicles. By ensuring the integrity of geometric data, you'll contribute to the delivery of world-class products that exceed customer expectations. Your work will directly support the company's commitment to innovation and sustainability within the automotive industry. Location: This position is based in Gaydon, offering a fantastic opportunity to work within one of the UK's most renowned automotive hubs. Interested?: Don't miss your chance to join a forward-thinking team and make a real impact in the automotive world. Apply today to become a CAD Data Quality Analyst and take the next step in your career! This role is Inside IR35. Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.

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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies. Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate. Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery. Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge. Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation. Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring; You bring deep domain expertise and the confidence to lead in complex, ambiguous situations. Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities. Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines. Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting. Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts. Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale" Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities" Embedding best practice technologies and championing their adoption to further"consolidate"technology choices" Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation" Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about ! Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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's 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. OR Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. 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. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies. Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate. Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery. Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge. Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation. Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring; You bring deep domain expertise and the confidence to lead in complex, ambiguous situations. Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities. Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines. Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting. Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts. Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale" Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities" Embedding best practice technologies and championing their adoption to further"consolidate"technology choices" Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation" Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about ! Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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's 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. OR Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. 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. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies. Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate. Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery. Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge. Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation. Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring; You bring deep domain expertise and the confidence to lead in complex, ambiguous situations. Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities. Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines. Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting. Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts. Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale" Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities" Embedding best practice technologies and championing their adoption to further"consolidate"technology choices" Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation" Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about ! Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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's 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. OR Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. 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. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies. Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate. Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery. Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge. Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation. Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring; You bring deep domain expertise and the confidence to lead in complex, ambiguous situations. Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities. Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines. Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting. Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts. Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale" Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities" Embedding best practice technologies and championing their adoption to further"consolidate"technology choices" Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation" Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about ! Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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's 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. OR Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. 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. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies. Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate. Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery. Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge. Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation. Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring; You bring deep domain expertise and the confidence to lead in complex, ambiguous situations. Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities. Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines. Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting. Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts. Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale" Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities" Embedding best practice technologies and championing their adoption to further"consolidate"technology choices" Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation" Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about ! Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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's 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. OR Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. 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. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

Job Title: Software Development Lead Location: Warton, 5 days per week on site We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: £60,326+ (DOE) Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. Job Description: You'll work with experts across Mission Systems, Autonomy , Simulation, and Test & Evaluation, alongside partners in academia and industry. As a Software Development Lead , you'll transform bold ideas into innovative software solutions, leading them from concept to demonstration and shaping the future of air systems. Core duties: Lead and define software development activities in line with departmental priorities and technology roadmaps Coordinate collaboration across multi-disciplinary teams, internal experts, and external partners to deliver high-quality engineering outcomes Champion best-practice software engineering methods and promote adoption of relevant industry standards Ensure robust engineering governance, working with Technical Authorities and domain specialists in Ground Test, Flight Test, and Flight Operations Oversee project delivery to agreed time, cost, and quality targets, managing risks and providing clear progress reporting to stakeholders Prepare business cases and investment proposals to support software research and capability development initiatives Identify and evaluate emerging technologies through Technology Watch activities to inform future capability roadmaps Provide effective line management , conducting performance reviews and supporting career development from early careers through to senior specialists Essential Skills: Good understanding of the Software Development Lifecycle (SDLC) and core software engineering principles , including SOLID design practices Proven experience developing software in multiple high-level programming languages (e.g. C, C++, Java, Python) Proficiency in Model-Based Software Engineering (MBSE) and design tools such as Enterprise Architect or Cameo Experience in leading and managing engineering teams, from small groups to larger multi-disciplinary teams Ability to develop proposals, bids, and business cases, supporting strategic investment and project planning activities The Systems Technology & Capability Delivery team: Join FalconWorks' Systems Technology & Capability Delivery Team, driving the future of aerospace innovation. We identify emerging technologies, develop early concepts, and deliver them into next-generation Air Sector products. This fast-paced, creative environment goes beyond traditional development, turning ideas quickly into real-world applications. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 30th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.

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. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies. Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate. Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery. Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge. Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation. Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring; You bring deep domain expertise and the confidence to lead in complex, ambiguous situations. Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities. Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines. Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting. Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts. Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale" Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities" Embedding best practice technologies and championing their adoption to further"consolidate"technology choices" Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation" Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about ! Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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's 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. OR Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. 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. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies. Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners. Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate. Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery. Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge. Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation. Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring; You bring deep domain expertise and the confidence to lead in complex, ambiguous situations. Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities. Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines. Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting. Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts. Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale" Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities" Embedding best practice technologies and championing their adoption to further"consolidate"technology choices" Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation" Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about ! Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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's 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. OR Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. 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. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

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