1327 jobs found

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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.

Heritage Building Surveyor Job in Banbury, Oxfordshire Heritage Building Surveyor Job in Banbury, Oxfordshire. Join a forward-thinking practice delivering high-quality heritage and conservation projects. Work in a collaborative environment that values your technical expertise and career growth. A dynamic practice known for its thoughtful design approach and commitment to sustainable, high-quality projects. The team works across a diverse range of projects, combining creativity with technical excellence to deliver buildings that inspire and perform. Role & Responsibilities Undertaking condition surveys and fabric inspections of historic and listed buildings Leading projects from initial inspection through to completion, acting as contract administrator Managing conservation repair and maintenance works, ensuring compliance with heritage and statutory requirements Coordinating with architects, conservation specialists, engineers, and clients Advising on the use of traditional materials and appropriate repair techniques. Required Skills & Experience MRICS or MCIOB is desirable Strong understanding of historic construction and traditional materials Confident undertaking condition surveys and fabric inspections Proven experience delivering conservation projects from inspection to completion 5 + years' experience in heritage and conservation. What you get back Competitive salary DOE 37.5-hour working week Professional development support and conservation accreditation opportunities Opportunity to work on nationally significant heritage sites. Apply If you meet the criteria above, send us your CV and portfolio. We receive a large number of applications so if you do not hear back within 7 days consider your application unsuccessful this time. We will keep a copy of your details on file for future vacancies. In accordance with GDPR, by applying for this position you give us your consent to process your data in-line with our Privacy and Data Protection Policies which can be read on the privacy policy page on our website. Referral Did you know we run a referral scheme? We pay a 1000 referral bonus if you introduce us to anyone who we then successfully place in a new job role. Just send us their information and we'll do the rest. Terms: A candidate is deemed to have been successfully placed once they have started a new job as a result of an introduction made by Hunter Dunning and when they've successfully completed the probation period. See website for full terms & conditions. Heritage Building Surveyor - Banbury, Oxfordshire - Your Property Recruitment Specialists ( Job Ref:(phone number removed

Senior Quantity Surveyor Job in North London Senior Quantity Surveyor Job in North London, working for a reputable multidisciplinary consultancy. Our client is looking for someone who is chartered or working towards, and someone who has a vast amount of experience leading and delivering all aspects of cost management, from inception of the project through to completion. Our client has strong client relationships spanning the residential, education, commercial and healthcare sectors, focusing on excellent service delivery across a wide remit of disciplines including Building Surveying, Architecture, Quantity Surveying, Fire Engineering, Structural Engineering, Project Management and Site Inspection. Predominantly their client base sits within the M25 but they also have clients on the outskirts of London. They have seen considerable growth, creating opportunities for both new and existing team members to advance their careers and develop personally within a forward-thinking and evolving business that's focused on long-term success. Role & Responsibilities Produce cost estimates at concept, scheme and detailed design stage Lead all aspects of cost management from inception to completion Prepare tender and contract documents Work alongside clients to establish their requirements Advise on contractual claims and disputes. Required Skills & Experience Chartered Quantity Surveyor (MRICS or equivalent is required) Preference of a degree level qualification Technical knowledge and competence Dynamic and prepared to get involved with company processes, software and automation of company outputs Consultancy experience is preferred. What you get back Salary of 60,000 to 75,000 DOE Discretionary annual performance bonus 26 days Holiday (Excluding Bank Holidays) Hybrid working - 2 days from home per week Great progression opportunities. Apply If you meet the criteria above, send us your CV and portfolio. We receive a large number of applications so if you do not hear back within 7 days consider your application unsuccessful this time. We will keep a copy of your details on file for future vacancies. In accordance with GDPR, by applying for this position you give us your consent to process your data in-line with our Privacy and Data Protection Policies which can be read on the privacy policy page on our website. Referral Did you know we run a referral scheme? We pay a 1000 referral bonus if you introduce us to anyone who we then successfully place in a new job role. Just send us their information and we'll do the rest. Terms: A candidate is deemed to have been successfully placed once they have started a new job as a result of an introduction made by Hunter Dunning and when they've successfully completed the probation period. See website for full terms & conditions.

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.

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.

Senior Building Surveyor Job in North London Senior Building Surveyor role in North London working for a reputable multidisciplinary consultancy. Our client is looking for someone who is chartered or working towards, and someone who has a vast amount of project management and contract administration experience. Our client has strong client relationships spanning the residential, education, commercial and healthcare sectors, focusing on excellent service delivery across a wide remit of disciplines including Building Surveying, Architecture, Quantity Surveying, Fire Engineering, Structural Engineering, Project Management and Site Inspection. Predominantly their client base sits within the M25 but they also have clients on the outskirts of London. They have seen considerable growth, creating opportunities for both new and existing team members to advance their careers and develop personally within a forward-thinking and evolving business that's focused on long-term success. Role & Responsibilities - Playing a pivotal role in providing expert advice on construction, renovation, and ensuring compliance with building regulations - Collaborating closely with clients, you'll gain a deep understanding of their requirements and objectives, leveraging your strong technical knowledge and competence to lead and deliver on project requirements - Act as a liaison between clients, contractors, and other stakeholders to facilitate effective communication and project coordination - Preparing detailed reports and recommendations based on findings from site inspections and assessments, managing projects from inception to completion with a focus on quality, compliance, and timely delivery. Required Skills & Experience - Bachelor's degree in building surveying and is a chartered member of the Royal Institution of Chartered Surveyors (RICS) - Proven track record of successfully managing a wide range of building surveying projects across residential, commercial, and institutional sectors - Expertise includes building inspections, defect diagnosis, project management, contract administration, and compliance with building regulations - Proficiency with AutoCAD and Revit. What you get back - Up to 70,000 - Discretionary annual performance bonus - 26 days Holiday (Excluding Bank Holidays) - Season Ticket loan - Training support and one paid professional subscription - Hybrid working - 2 days from home per week - Great progression opportunities. Apply If you meet the criteria above, send us your CV and portfolio. We receive a large number of applications so if you do not hear back within 7 days consider your application unsuccessful this time. We will keep a copy of your details on file for future vacancies. In accordance with GDPR, by applying for this position you give us your consent to process your data in-line with our Privacy and Data Protection Policies which can be read on the privacy policy page on our website. Referral Did you know we run a referral scheme? We pay a 1000 referral bonus if you introduce us to anyone who we then successfully place in a new job role. Just send us their information and we'll do the rest. Terms: A candidate is deemed to have been successfully placed once they have started a new job as a result of an introduction made by Hunter Dunning and when they've successfully completed the probation period. Senior Building Surveyor Job in London - Your Property Recruitment Specialists (Recruiter: Oliver Charlton Job Ref:15234 )

Sr. Bid Price Modeller Position Description At CGI, you'll play a critical role in securing major public sector programmes that protect communities and deliver services at national scale. As a Bid Price Modeller, you will shape commercially robust, competitive pricing strategies for complex Public Safety opportunities, directly influencing the success of high-value bids. Working alongside experienced solution, commercial and operational leaders, you'll bring clarity, insight and ownership to pricing decisions that balance value for money with sustainable delivery. In a supportive, collaborative environment, you'll be trusted to apply your expertise, innovate with confidence and grow your impact across some of the UK's most significant government procurements. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to either hold, or be eligible to undergo UK Security Clearance. This is a hybrid role with remote working and occasional travel to CGI or client sites as required. Your future duties and responsibilities In this role, you will take ownership of pricing and commercial modelling for large, complex public sector bids within the Public Safety domain. You will work as a core member of bid teams, shaping pricing strategies that are competitive, compliant and aligned to customer expectations, while supporting informed decision-making throughout the capture and proposal lifecycle. You will collaborate closely with opportunity leaders, solution architects and commercial specialists, applying structured methodologies and financial insight to deliver accurate, defensible and compelling pricing submissions under tight deadlines. Key responsibilities include: - Develop & validate pricing models for complex public sector bids to maximise price scoring - Shape & refine pricing strategies in collaboration with bid, solution and commercial teams - Analyse & model cost drivers, risks and assumptions to support robust commercial decisions - Present & justify pricing approaches to internal stakeholders for governance approval - Apply & adapt value-based pricing models (Fixed, T&M, variable) to deliver value for money - Contribute & improve Price to Win modelling from capture through to proposal submission - Maintain awareness of government procurement frameworks, regulations and market trends Required qualifications to be successful in this role To be successful, you will bring strong experience in public sector pricing and bid modelling, combined with commercial insight and a disciplined, analytical approach. You will be confident working in fast-paced bid environments, collaborating with senior stakeholders and taking accountability for the quality and integrity of pricing outputs. You should have: - Proven experience building and managing pricing models for large-scale UK public sector tenders - Practical experience applying Shipley methodology, including Price to Win modelling - Strong financial modelling, cost estimation and scenario analysis capability - Advanced Excel skills and confidence working with complex datasets - Knowledge of UK public procurement processes and government frameworks - Ability to clearly communicate pricing rationale to technical and non-technical audiences Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.

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 are seeking an experienced and innovative Senior Designer to lead thier design office in delivering high-quality engineering and architectural projects. The successful candidate will oversee all aspects of design development, coordinate with multidisciplinary teams, and ensure projects meet client specifications, deadlines, and regulatory standards click apply for full job details

Location Bristol Regional Centre - 3 Glass Wharf East Kilbride - Queensway House Edinburgh Regional Centre - Queen Elizabeth House Manchester Regional Centre - Three New Bailey Leeds Regional Centre - Wellington Place Liverpool Regional Centre - Water Street If you currently work for CDIO and are based at either a transitional site or a site subject to workforce planning constraints, you may be eligible to remain at that site when you apply. About the job Job summary Discover a career in your hands at HMRC. Whether you're seeking purpose, growth, or a workplace that gives you a true sense of belonging, hear from some of our employees as they share their story about what it's really like to work at HMRC. Visit our YouTube channel to watch the full series and come and discover your potential. Are you a technical architect looking for a new opportunity? Now is a fantastic time to continue to build your career in our exciting, creative and world-class software development team. If you want to learn, lead and help others to deliver technological solutions and be part of delivering public service that makes a real difference, HMRC is a great place to do that. HMRC is replacing legacy applications with SaaS and PaaS cloud services. We need a Senior Technical Architect who will act as the architectural authority for Business Developed Applications (BDApps), defining how we use our technology stack across the estate, including application structure, hosting models, security patterns, integration approaches and lifecycle management. You will guide teams on when Blazor is the right choice and when alternative approaches are more appropriate, making technology decisions based on fitness for purpose rather than novelty. Job description As a senior member of the multidisciplinary Technical Innovation team, you will work with Product Managers, Software Developers and technology specialists to provide architectural leadership for HMRC's Business Developed Applications estate. You will oversee around 140 desktop and web applications, ensuring they are efficient, effective and aligned to HMRC's wider technology strategy. Your focus is shaping and governing the technical direction of BDApps as they move from legacy solutions to modern SaaS and PaaS services on AWS. You will define and maintain the BDApp Platform, setting clear standards, patterns and guardrails that enable teams to deliver safely and consistently. This includes providing strong direction on web architecture, Blazor based solutions and cloud native use of AWS, with decisions driven by user need, operational reality and value. You will work closely with delivery teams, business partners and IT colleagues to review designs, challenge proposals and set clear architectural direction. You will support teams running live legacy applications while defining realistic, phased migration paths to AWS hosted web services and SaaS solutions. You will ensure BDApps integrate cleanly with the wider HMRC technology stack and support end to end digital services. The role focuses on architectural leadership rather than hands on development. You will address issues across the BDApp estate, identify opportunities to simplify and standardise and assess emerging technologies where they add value. You will contribute architectural input to business cases and strategic decisions. You will not be expected to code, but you must be technically credible, comfortable working in ambiguity and able to explain complex technical concepts to non technical audiences. Person specification We are looking for a Senior Technical Architect who provides clear, pragmatic technical leadership across HMRC's BDApp estate. You will shape and govern the architecture for around 140 desktop and web applications, balancing the need to run and improve legacy services with a steady transition to modern SaaS, PaaS and AWS hosted web solutions. You are comfortable working at pace in complex environments, able to make sound architectural decisions and explain them clearly to both technical and nontechnical audiences. You focus on service quality, sustainability and user need, selecting technology because it is appropriate to the problem and not because it is new. You work confidently with delivery teams, senior stakeholders and partners to ensure BDApps are efficient, secure and aligned to HMRC strategy. This includes - Technical authority for the BDApp estate of around 140 desktop and web applications - Architectural leadership for BDApp SaaS, PaaS and AWS hosted web services - Ownership of architectural standards, patterns and roadmaps including Blazor usage - Strong focus on service quality, operability and whole life cycle design - Close collaboration with delivery teams without hands on coding responsibility - Clear decision making and effective challenge in fastmoving environments - Influence over strategy, investment and long term technical direction Illustrative Technical Skills - Architecture design for large application estates spanning legacy and modern platforms - SaaS and PaaS solution design within enterprise environments - AWS architecture including hosting, security and integration patterns - Web application architecture including Blazor and related frameworks - Service lifecycle design from discovery through live operation - Technical governance, assurance and design review - Integration architecture across enterprise technology stacks - Security, accessibility and resilience by design - Platform design and continuous improvement - Producing clear architectural documentation and guidance Essential Criteria: Proven experience governing high and low level designs across the full service lifecycle Ability to manage a quality service by designing for stability, security and supportability Strong decision-making skills with clear rationale and ownership of outcomes Experience translating business problems into effective technical designs at pace Ability to communicate complex technical concepts clearly to non technical audiences Experience setting and refining architectural standards, patterns and roadmaps Credibility when leading technical discussions with delivery teams and stakeholders Ability to balance immediate delivery pressures with long term architectural health Awareness of emerging technology trends and their practical application Demonstrated ability to deliver architectural outcomes in fast paced, ambiguous environments Desirable Criteria: - Experience defining, owning or evolving technical standards, architectural policies or reference patterns across multiple teams or services - Experience contributing to the design or refinement of a shared application platform, including simplification or rationalisation of large BDApp estates - Experience supporting or influencing cloud adoption on AWS beyond individual services, including cost efficiency, resilience or security guardrails - Previous line management experience

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

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.