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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 #LifeAtSky! 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 #LifeAtSky 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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, Sky Stream 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 ; • Set a Product Vision & own the Product Backlog for Adobe Campaign & our owned comms stack, enabling the business to deliver on their requirements., • Maintain a delivery roadmap of features, product releases, and integrations with the wider Sky technology & tooling ecosystem ., • Be the system admin for Adobe Campaign & the owned comms stack, • Govern the usage of Campaign Management within the business, defining the operating model and establishing appropriate controls and workflows for our tools., • Enable business adoption & lead Ideation Workshops and User Story Creation, to drive product requirements and drive the effective usage of our tools in the business., • Advise on Campaign best practice to ensure tooling is usilised effectively, • Join Quarterly Planning & support experimentation & development teams in sprint planning as required ., • Lead our campaign management vendor partnerships & ensure tooling remains best-in-class, • Ensure Technology Stack for campaign execution adheres to Compliance & Policy Requirement s, • Support Head of Martech at Sky UK in implementing martech strategy and specific initiatives What you'll bring ;, • Deep experience with Adobe Campaign, ideally with Adobe Campaign Certification., • Demonstrated expertise in managing complex digital campaigns and platform migrations, • Deep Technical understanding of Adobe Campaign v7, and experience of AJO and Campaign v8 preferred., • Experience with additional marketing technology capabilities preferred, as it will be beneficial in working with wider teams across the business. This could include web analytics, customer data management, consent management, personalisation, and digital marketing., • A proven track record of product ownership in a complex & fast moving organisation., • Proven track record influencing and working with decision makers to drive strategic decisions . 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 a\cross Sky Residential & Group OTT and to drive operating efficiencies.The Rewards: There's a reason people can't stop talking about #LifeAtSky! 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. 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 #LifeAtSky 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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 skillsA 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 #LifeAtSky: 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 experiencesInclusion & 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.

Want to do the best work of your life? Make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content. Join us as a Media AI Technologist and help turn early-stage ideas into working AI prototypes that improve real media workflows. You'll work across editorial, creative, product, engineering and operations teams to test what's possible, prove value quickly, and shape where AI can make the biggest impact. This is a hands-on role for someone who enjoys building, experimenting and learning fast. You might already have experience in media AI, or you may come from a broader applied AI/ML, background and be excited by the opportunity to work with content and media workflows. This position is an excellent fit for a recent graduate looking to start a tech career in a brilliant media company. What you'll do: • Partner with teams across Editorial, Creative, Media Operations, Product and Engineering to turn early ideas into clear, testable problems grounded in real workflows., • Build and iterate AI prototypes in rapid cycles, typically over 2-6 weeks, to prove or disprove new opportunities quickly., • Create lightweight agentic workflows that can combine models, tools and human review steps to complete multi-step tasks reliably., • Analyse results, share what worked and what did not, and help stakeholders understand what should happen next., • Build practical demos and thin-slice experiences that make ideas tangible and useful, not just presentable.What you'll bring:, • Experience building AI/ML-powered products, prototypes or software systems that work with unstructured content such as video, audio, images or text., • Good understanding of modern AI tooling and approaches, for example multimodal models, speech-to-text, OCR, semantic search, summarisation, orchestration or workflow automation., • Comfort working in ambiguity and collaborating with a wide range of stakeholders to shape ideas into something practical., • Curiosity, pace and sound judgement: you know how to keep scope lean while still building something valuable.Also helpful:, • Experience working with media, broadcast, content or operational workflow tools., • Familiarity with cloud platforms such as AWS or GCP., • Exposure to evaluation, experimentation or prototype measurement in AI products., • Experience building interfaces or visual demos that help others quickly understand what a solution does.The Rewards: There's a reason people can't stop talking about #LifeAtSky. 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 exclusive Sky VIP rewards and experiencesHow you'll work: At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. The hybrid working expectations for this role are 3 days in the office per week. 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. Inclusion: We're an equal opportunity employer and value diversity at our company. We don't discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We'll 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 #LifeAtSky on social media. A job you love to talk about. 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.

CST Training LTD, a leading UK-based training company renowned for its commitment to excellence and rapid expansion, We are currently seeking a B2B Business Development Lead. This role is essential for supporting CST's mission to deliver innovative, wise, and straightforward training solutions, contributing to our outstanding reputation for reliability and quality. Reporting To Sales Manager Salary Base £30,000 - (OTE £45,000) Role Purpose The B2B Business Development Team Lead is responsible for driving revenue growth across CST Training’s business-to-business portfolio. This role combines hands-on new business development with leadership of a small team of Business Development Executives. The postholder will set direction, coach performance, and ensure consistent execution against sales targets while building strong, long-term relationships with employer clients. Key Responsibilities Sales & Revenue Growth • Own and deliver B2B sales targets in line with company growth objectives., • Identify, target, and win new employer clients across relevant sectors., • Develop and execute account strategies to grow existing B2B relationships., • Manage the full sales cycle from lead generation through to close and handover., • Lead, motivate, and coach a team of Business Development Executives., • Set clear individual targets and KPIs aligned to overall business goals., • Conduct regular 1:1s, performance reviews, and pipeline reviews., • Support onboarding and ongoing training for new and existing team members., • Contribute to the wider B2B sales strategy for CST Training., • Analyse market trends, competitor activity, and customer needs., • Work with senior stakeholders to shape sector-specific propositions. Essential • Proven experience in B2B sales or business development, ideally within training, education, or a service-based environment., • Demonstrable success in meeting or exceeding sales targets., • Experience leading, coaching, or mentoring a sales or business development team., • Strong negotiation, communication, and presentation skills., • Confident using CRM systems and sales reporting tools., • Understanding of employer engagement within regulated or compliance-led sectors., • Results-driven with a strong commercial mindset., • Motivational leader who leads by example., • Resilient, proactive, and comfortable working in a fast-paced environment., • Commission Structure, • Bonus, • Car Parking, • Enhanced Holiday

G2 are currently searching for a SHEQ Advisor! The client is looking for a permanent SHEQ Advisor to join there team on a part-time basis on an operational process plant, you will be working with the plant owner who works in the clean energy space. The role would require for you to act as a key safety specialist onsite. Working as part of a global safety team, you would work on the live operational safety of the plant, be a hands on member of the team whilst working towards operational incident free safety and maintaining all standards up to company expectations. Location: Dartford, UK. Contract: £22,000 - £25,000 per year (Part-Time, 3 days a week, 20-25 hours) Experience with: • Align company standards with local guidelines and regulations., • Experience in the waste or high-risk processing environments, • Operate IMS systems, perform audits, inspections and risk assessments., • Someone with several years of HSE experience with an understanding of national and international HSE legislation., • Experience with ISO 9001, 14001 and 45001. The role requires a strong SHEQ Advisor who is confident in advising operational, maintenance and site-based staff on quality, health, safety and environmental issues. We can be reached by email on . 0031 20 808 7445

Job Description Our Social Infrastructure team are seeking a skilled and detail-oriented Estimator to join our dynamic team in Swanley, United Kingdom. As an integral part of our organisation, you will play a crucial role in accurately assessing project costs and preparing competitive bids for our clients in the Social housing sector. Previous experience in this sector is essential. • Analyse project specifications, drawings, and other relevant documents to prepare accurate cost estimates, • Collaborate with various departmental functions to ensure tender returns are accurately priced, commercially sound, and technically detailed, • Develop and maintain strong relationships with clients, suppliers, and other professionals to foster future tender success and new client opportunities, • Prepare and present detailed tender cost build-ups, ensuring strict timescales are maintained throughout the tendering process, • Support the transition between the tender phase and project handover, ensuring smooth communication with project delivery teams, • Continuously monitor market trends, material costs, and labour rates to maintain up-to-date pricing information, • Identify potential risks and opportunities within project estimates, providing recommendations to mitigate risks and maximise value, • Minimum of 5 years' experience in the construction industry, preferably with a background in Social Housing, • Knowledge of the JCT & ACA suite of contracts, • Ability to 'take off' from design drawings, interpret specifications, and prepare Bills of Quantities, • Strong mathematical and analytical skills, with a keen eye for detail, • Proficiency in estimating software or aptitude to learn, • Excellent communication and negotiation skills, with the ability to present complex information clearly and concisely, • Ability to work under pressure and meet tight deadlines in a fast-paced environment, • Strong organisational skills and ability to manage multiple projects simultaneously If you are ready to be part of our expanding team and contribute to our success, apply today for immediate consideration. Join us on this exciting journey of growth and innovation! • As a business United Living prefer to hire directly and we will be in touch with our PSL Agencies if we require support. We do not accept speculative CVs from agencies. If speculative CVs are sent, no fee will be applicable.

Company Description At UI Social Infrastructure, we revitalise homes and communities through the regeneration and maintenance of living spaces, breathing new life into neighbourhoods and ensuring homes are safe and compliant. From delivering large programmes of work for social housing providers, to fully integrated property service solutions, we provide a wide range of services for public sector clients. Our experienced teams are specialists in working within occupied properties, ensuring that there is minimal disruption to residents and communities. We collaborate with community and social value specialists to deliver long lasting benefits for all. Job Description Join the thriving and dynamic UI Social Infrastructure team in Brentwood! As a rapidly growing business, we are excited to welcome a new Senior Quantity Surveyor to contribute to our success. If you're looking for a long-term career opportunity with a Main Contractor, where you can develop your skills and be part of an industry-leading organisation, this role is for you. You are to be the commercial lead on a long term partnering framework and be responsible for the commercial success of the projects whilst adhering to commercial administration procedures. To promote and deliver a collaborative environment with both the client and throughout the management of the subcontract / supply chain account. Pre-contract The preparation of tenders as directed including checking of quantities, scope and programme. Compile tender event schedule for pricing. Analyse Subcontract tender quotations for exclusions and conditions and compile tender offering to client.(minimum 3 quotes) Adhere to internal settlement gateways prior to tender return release. Advise client on tender qualifications, allowances and ensure pricing is inline with Partnering Framework. Project delivery Co-operate and work in partnership with the project team to ensure consistent delivery of successful projects in order to support the achievement of business unit objectives and to deliver target margins. Support the Operations Manager to ensure that all significant project issues and correspondence and all necessary contractual processes have been observed, notices issued, records kept and documents stored by the team to protect the company’s position, seeking advice from the Commercial Manager where necessary Provide advice to the management team on contractual, valuation and measurement matters. Procurement Prepare and implement the project procurement strategy with Operations Manager Support the Group Procurement Department buying deals by ensuring they are communicated to subcontractors at tender stage and applied at order stage Chair subcontract interview meetings in association with Operations team Prepare subcontract enquiries including site measurement and formulating the tender list in consultation with the wider management team along with subsequent analysis and assessment of subcontract quotations. Negotiate sub-contract packages to deliver the most favourable outcome for the company. Draft and place sub-contract orders as and when authorised and ensure no subcontractors commence on site without a subcontract order fully completed. Main Contract Support the Operations Manager in providing monthly reports to the Client, ensuring that such reports contain accurate forecasts of our rolling draft final account, full information concerning variations and record contractual notices and reporting. Develop & maintain close relationships with client, consultants & subcontractors to continuously improve customer experience, improve our Company position and obtain repeat & negotiated business. Evaluate submit and agree the price of C.V.I's and contract Instructions provisional sums, demonstrate value for money etc Prepare and agree monthly valuations with the clients representative and ensure same are invoiced, paid, in full and on time Ensure that any agreement with client representatives is documented Ensure that adequate records are kept in respect of any future claims. Prepare and submit alternative proposals for material and specifications to the client for approval Site Overhead costs and advise the Operations Manager on action to be taken to remedy over-expenditure with client. Prepare and agree quarterly open book audits (cost and value reconciliation) with the clients representative and reach final account position yearly. Prepare and once approved by line manager submit all necessary contractual claims Subcontract Prepare and negotiate interim valuations and final accounts including all necessary measurement as well as making sure that any agreement of variations with supply chain is documented. Measure, value, negotiate and check as necessary all subcontract interim and final account applications and process all associated payments in accordance with the Construction Act and/or other prevailing legislation Inform the Commercial Manager of any possible claims by subcontractors and prepare and/or seek direction in preparing any necessary documentation/correspondence to protect the Company’s interests. Prepare response to any claim for loss and expense, after liaison with their line manager Financial Having full project(s) profit and loss accountability Competent use of company cost system Manage the CVR process, in conjunction with the Operations Manager, understanding and accurately forecasting project values, costs & margins against the target margin and profit plan, and agreeing changes and solutions with the Contracts / Project Manager prior to implementation Forecast cash on an accurate and timely basis, ensuring that the cash position of the project is maximised without compromising our contractual arrangements and relationships with either customers or subcontractors & suppliers Ensure profit plans are understood for each scheme/project and monitor and deliver on agreed areas and work on identifying further areas for recovery. Raise alarm signals to the Commercial Manager when the contract is straying outside the cost and profit parameters. Use best endeavours and seek to maximise margins in co-operation with the Operations Manager. Monitor preliminaries / site management costs and advise the Operations Manager on action to be taken to remedy over-expenditure. Prepare and present commercial elements at the site Monthly Contract Review Meeting Legal / Dispute Assist in the preparation of ‘claims’ or other means of dispute management to correct an imbalance of cost and value. To include drafting and sending contractual letters and supporting information. Study contract documents and advise on onerous conditions therein including the preparation of briefing notes for Operations Manager. Upon receipt of contract, ensure that comparison of contract documents with tender documents is carried out and advise on any anomalies as well as ensuring that terms are in line with House Rules. Other Manage all of the People responsibilities for your team including undertaking and monitoring the completion of Performance & Development Reviews, supporting and coaching team members to achieve both individual and business objectives. Attend site meeting and client meetings as necessary. Under supervision support in the collation of relevant documentation relating to insurance claims. Maintain and continuously improve commercial /legal/contractual awareness. Knowledge of and compliance with Group Delegated Authorities and Contracts Process. Ensure compliance with document control system Involvement in community engagement activities within and outside normal working hours Working in one or more locations as required Any other duties assigned. Qualifications • BSc in Quantity Surveying or similar commercial related course, • Professional qualification MRICS or MCIOB desirable, • Good data interrogation skills, • Line Management experience, • Commercial Awareness with good legal/contractual knowledge and experience, • Experience of Management accounts, • Proficient in Microsoft office particularly Excel, Access and keen to extend knowledge on software packages, • Commercial contracting experience, • Re-measurement skills, • Previous experience in construction or similar sector, • Valid driving licence, • CSCS card at appropriate level, • Take responsibility for own development

Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Below are current average salaries in the sector for lower-level positions

No help desk support experience required.

We're working with a leading global consulting firm who are continuing to invest heavily into their CIO & CTO advisory capability, particularly across IT performance, cost optimisation, and technology value. A big part of the role is about bringing structure to complexity - building cost models,

Launch Your Cyber Security Career – Job Guaranteed! Cyber attacks are rising, and companies need skilled professionals now more than ever. With Newto Training’s Cyber Security Career Programme, you’ll gain 4 top certifications (Azure Fundamentals, CompTIA Security+, CompTIA CySA+, Forescout FSCA) plus real-world project work that doubles as hands-on experience. 100+ hours of live training Practical skills in troubleshooting, networking (Cisco), Azure cloud, Splunk SIEM & Tenable vulnerability management Job guarantee with our hiring partners Get certified, get experience, get hired. Apply today and start your journey into cyber security. Course cost - £2995, or, £249.58 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. ...

Junior Learning and Development Trainer - Manufacturing/FMCG • Location: Kent, • Department: People and Development, • Job Type: Full-time Day-to-day of the role: • Develop, review, assist, and evaluate a fully compliant and comprehensive onboarding programme for all new employees., • Organise, coordinate, and deliver industry-specific training to all team members to ensure they can undertake their roles compliantly., • Maintain up-to-date and compliant supporting training documentation on the training system., • Ensure all mandatory training is up-to-date and refresher training is undertaken within required deadlines., • Report on training progression and conduct competency assessments., • Strong communication skills with the ability to engage effectively in a factory environment., • Confident in delivering training to groups., • Clear and concise written and verbal communication skills., • Good IT skills, including familiarity with Microsoft Office 365., • Competitive salary and benefits package., • Opportunities for professional development and growth within the company.

Are you a confident communicator who loves building genuine relationships and uncovering opportunities through research and insight? Methodical, detailed professional who believes in team work and strong work ethic. Excellent on the phone and comfortable speaking to varied clients. Were working with a respected, long-established organisation that provides innovative environmental protection solut...

Trainee AI Engineer – No Experience Needed.Future-proof your career in Artificial Intelligence – starting today.Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get yo

Are you ready to start a new career in Data Analysis?.The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable.

Senior IT Cost & Value Manager Up to £100k plus bonus and benefits Full Time / Permanent Hybrid (UK wide) with client travel The Role I am partnering with a leading global consulting firm who are continuing to invest heavily into their CIO & CTO advisory capability, particularly across I

Key experience I'm looking for: Proven leadership of IT M&A engagements, including due diligence, integrations, and separations Strong understanding of enterprise IT landscapes (ERP, cloud platforms, infrastructure, cybersecurity) Experience designing and delivering post‑merger integrati

Key Responsibilities * Design and implement robust Epicor ERP solutions aligned with business goals * Lead system architecture decisions, integrations, and customizations * Develop BPMs, BAQs, dashboards, and custom modules * Optimize system performance, scalability, and reliability *

With Newto Training’s Cyber Security Career Programme, you’ll gain 4 top certifications (Azure Fundamentals, CompTIA Security+, CompTIA CySA+, Forescout FSCA) plus real-world project work that doubles as hands-on experience. Launch Your Cyber Security Career – Job Guaranteed!. Practical skills

Inside IR35) Mostly remote - 1-2 days per month on site, Barrow or Sheffield 12 months Senior Systems Engineer reporting to the Systems Engineering Function Lead within the Weapon Systems Engineering function. The role requires a good understanding of Model Based Systems Engineering (MBSE), Requi

Launch Your Cyber Security Career – Job Guaranteed! Cyber attacks are rising, and companies need skilled professionals now more than ever. With Newto Training’s Cyber Security Career Programme, you’ll gain 4 top certifications (Azure Fundamentals, CompTIA Security+, CompTIA CySA+, Forescout FSCA) plus real-world project work that doubles as hands-on experience. 100+ hours of live training Practical skills in troubleshooting, networking (Cisco), Azure cloud, Splunk SIEM & Tenable vulnerability management Job guarantee with our hiring partners Get certified, get experience, get hired. Apply today and start your journey into cyber security. Course cost - £2995, or, £249.58 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. ...

SC Cleared Salesforce Developer Location: Remote Duration: 12 months with possible extension Rate: Up to £550 per day via an approved umbrella company Must be willing and eligible to go through the SC Clearance process Our client, a reputable organisation in the IT sector, is hiring for a

Launch Your Cyber Security Career – Job Guaranteed! Cyber attacks are rising, and companies need skilled professionals now more than ever. With Newto Training’s Cyber Security Career Programme, you’ll gain 4 top certifications (Azure Fundamentals, CompTIA Security+, CompTIA CySA+, Forescout FSCA) plus real-world project work that doubles as hands-on experience. 100+ hours of live training Practical skills in troubleshooting, networking (Cisco), Azure cloud, Splunk SIEM & Tenable vulnerability management Job guarantee with our hiring partners Get certified, get experience, get hired. Apply today and start your journey into cyber security. Course cost - £2995, or, £249.58 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. ...

Role: Product Development Technician Location: Dartford Salary: £35,000 - £40,000 - Depending on Experience Purpose of Role Proactive Global are currently in search of a skilled Product Development Technician for a market leading manufacturing company based in Dartford. The purpose

Role Title: Applications Developer Duration: contract to run until 30/10/2026 Location: Remote Rate: up to £552 p/d Umbrella inside IR35 Clearance required: Active SC Clearance is required and you must be a Sole UK National Skills: Python SQL JSON API development (WebMethods, Kong) Containerised deployments (Docker) Microsoft Azure All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply...

Based in Dartford We are seeking a skilled CNC Miller to join our precision engineering team in Dartford.This role involves machining high-quality components to tight tolerances, working from detailed technical drawings within a busy manufacturing environment.Key Responsibilities ⦁ Programmin

Job Title: Network Engineer Role Type: Contract (3 months initial) Location: Remote with UK site travel We're seeking an experienced Network Engineer to join our client's Secure Networks team, with a strong focus on HPE Aruba switching and enterprise LAN delivery. Perform network changes

ERP Manufacturing Consultant (Progression into Sage X3) Location: Birmingham (Hybrid) Salary: £30,000 – £45,000 + Benefits We are currently working with a well-established ERP consultancy that specialises in delivering solutions across manufacturing and distribution environments. Due to continued growth, they are looking to appoint an ERP Manufacturing Consultant with a clear development pathway into Sage X3. The Opportunity This is an excellent opportunity for someone with 1–4 years’ experience within ERP or manufacturing systems who is looking to build a long-term career within consulting. You will gain hands-on exposure to ERP implementations, support, and continuous improvement projects, with structured training and progression into becoming a Sage X3 Consultant over time. Key Responsibilities * Support ERP implementation projects within manufacturing environments * Work closely with clients to understand business processes and requirements * Assist with system configuration, testing, and user training * Provide ongoing support and troubleshooting for ERP systems * Contribute to process improvements and system optimisation * Collaborate with senior consultants on Sage X3 projects as part of your development Requirements * 1–4 years’ experience working with ERP systems (manufacturing-focused preferred) * Exposure to manufacturing, supply chai...

Are you ready to start a new career in AI Engineering? AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away. Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready. Step One: Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologies. We also provide two digital badges: CompTIA AI Essentials and CompTIA AI Prompting Essentials. Step Two: Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals, CompTIA Data+ and CompTIA Data AI Step Three: Now that you’re qualified for an entry-level AI or data position paying up to £35,000 ...

Rubicon Consulting is currently recruiting for a Senior Software Developer on a 6 month contract, based remote. Role Overview This is a contractor assignment for an experienced Senior Software Developer with a strong focus on business analysis and pre-development solution shaping within a finance e

Scala Developer with solid functional programming understanding is sought on a remote basis by an international software house based in the UK. This Scala Developer would be joining the innovation arm of the business tasked with building complex, highly scalable greenfield solutions utilised worldwide to deliver critical infrastructure. As such experience working on enterprise level applications would be a plus. This Scala Developer will be joining a collaborative, continuous improvement focussed environment working within a mature estate but with scope to upskill in modern automation & containerisation technology. With a real commitment to employee wellbeing and personal development this Scala Developer can expect long term commitment to remote, flexible working and a clearing defined progression path with 2 self promotion opportunities a year alongside companywide commitment to wellbeing by providing a best in class physical and mental wellbeing program. This Scala Developer should have most of the following key skills: - At least three years commercial scala programming - Strong framework experience (Akka, Play etc) - Relational database experience - PostgreSQL - MongoDB, NoSQL - RESTful API design and integration experience - Solid unit test understanding - Spec2, scalaTest etc - Experience working in a TDD/ BDD driven environment - Containerization experience - Docker, Kubernetes etc - Awareness of cloud t...

We are seeking an experienced Control Systems Engineer to join a well-established and growing team, supporting a strong pipeline of projects across the Food & Beverage and Manufacturing sectors. This role will involve interpreting customer requirements, producing project specifications, and developing and implementing software for control systems solutions. You will be responsible for designing bespoke PLC code and intuitive HMI interfaces, primarily using Siemens and Allen-Bradley/Rockwell platforms. Experience with SQL and SCADA is highly desirable. Key Responsibilities for Control Sytems Engineer * Develop custom PLC code from scratch, tailored to project requirements * Design user-friendly HMIs for seamless operator interaction * Interpret client documentation, such as User Requirement Specifications (URS) and Functional Design Specifications (FDS) * Support onsite commissioning and testing at project completion (max 20%) * Work collaboratively with the wider project team to deliver high-quality automation solutions Requirements for Control Systems Engineer * Minimum of 2 years’ experience in control systems engineering or automation * Strong understanding of machine processes and line control * Be proficient programming PLC applications from scratch and with various platforms Siemens TIA Portal and/or Rockwell Studio 5000 * Knowledge of electrical systems and installations * Desir...

Trainee Cyber Security Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first Cyber Security role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 8-10 week online training with just 2 hours per day of study time. You will learn industry-recognised methodologies, network security, threat detection, vulnerability management, and incident response, while building practical experience with Live Labs. The programme includes earning CompTIA certifications (A+, Network+, Security+) recognised by UK employers, expert tutor support throughout your studies, dedicated job placement support with CV rewrite, interview preparation, and access to exclusive job opportunities. The Outcome 93% of graduates secure cyber security roles within 3 months. Starting salaries: £28,000 – £38,000+ Who This Is For The programme is completely beginner-friendly, so no experience is needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in Cyber Security? Limited spaces available. Apply now for the next available cohort.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

I'm currently supporting the hire of an IT M&A Senior Manager to join a high‑performing, forward‑thinking consulting environment. Leading multi‑workstream teams, managing senior stakeholders and influencing deal value.

With Newto Training’s Cyber Security Career Programme, you’ll gain 4 top certifications (Azure Fundamentals, CompTIA Security+, CompTIA CySA+, Forescout FSCA) plus real-world project work that doubles as hands-on experience. Job guarantee with our hiring partners. Apply today and start your jour

ERP Tax Senior Consultant / Manager (D365 Finance & Operations / Workday) Senior-Lead level The Role We are supporting a client who is expanding their ERP and tax technology transformation capability and is seeking consultants with experience in Dynamics 365 Finance & Operations or Workday.This

Launch Your Cyber Security Career – Job Guaranteed!. Cyber attacks are rising, and companies need skilled professionals now more than ever. With Newto Training’s Cyber Security Career Programme, you’ll gain 4 top certifications (Azure Fundamentals, CompTIA Security+, CompTIA CySA+, Forescout F

As the IT Support Desk Apprentice, you will provide remote support to Integrity’s clients nationwide. Integrity is an organisation that likes to cut through the jargon associated with IT. We are from the generation that had to load Windows on floppy discs, and over the past 30 years there have bee

We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely