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Forvis Mazars is a leading global professional services network providing audit & assurance, tax, and advisory services. Forvis Mazars in the UK spans 14 offices across the nation and has over 3,400 professionals, with 190 partners. We have a clear purpose and a shared commitment to shape a better future. You'll join a collaborative and inclusive team where you're supported to grow your skills, explore new opportunities, and contribute from day one. You'll work with a diverse client base, develop meaningful connections, and gain experience that extends beyond your local team. Together, we grow, belong and impact. We are seeking an experienced Senior Consultant, Manager OR Associate Director (AVP to VP Level) to join our Market Risk advisory practice, focused on delivering innovative quantitative solutions to clients. In this role, you will leverage your deep quantitative expertise to advise clients on risk measurement, modelling, and regulatory compliance, contributing directly to their strategic decision-making progress. • Lead small and large multidisciplinary engagements and manage client relationships, provide advanced quantitative analysis and modelling to address complex market risk challenges, • Develop, validate, and implement quantitative risk models (including cVaR, CCR and xVA), • Provide thought leadership in quantitative methodologies, regulatory requirements (e.g. Basel III/IV, FRTB), derivatives pricing techniques, and industry best practices, • Lead project teams, mentor and supervise junior team members, and ensure high-quality delivery, • Support business development initiatives, including identifying new opportunities and developing proposals, • Minimum of 3-8 years of relevant experience in quantitative modelling, market risk management, derivatives pricing, or risk advisory within financial services, • Demonstrated experience in one or more of the following areas: derivatives pricing, stochastic modelling techniques, statistical methods including AI/ML, and programming (e.g. Python, R, C++), • Excellent analytical and problem-solving skills with the ability to translate complex quantitative concepts clearly to non-technical stakeholders, • A dynamic, collaborative, inclusive work environment, • Opportunities to work with leading global financial institutions on challenging and impactful projects We seek to attract, develop, and retain the best talent, inclusive of sex, ethnicity, disability, socio-economic background, sexual orientation, gender identity, nationality, and faith. We select candidates based on skills, knowledge, qualifications, and experience and aim to support all our team members to reach their potential. At Forvis Mazars, we promote an environment in which you can grow your skills, belong to a team that values your ideas, and make an impact that matters.

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, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do • Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components, • Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows, • Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation, • Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments, • Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks, • Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems, • Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform, • Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring, • Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling, • Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems, • Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations, • Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling, • Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools), • Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management, • A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do • Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components, • Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows, • Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation, • Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments, • Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks, • Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems, • Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform, • Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring, • Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling, • Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems, • Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations, • Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling, • Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools), • Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management, • A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do • Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components, • Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows, • Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation, • Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments, • Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks, • Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems, • Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform, • Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring, • Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling, • Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems, • Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations, • Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling, • Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools), • Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management, • A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do • Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components, • Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows, • Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation, • Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments, • Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks, • Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems, • Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform, • Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring, • Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling, • Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems, • Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations, • Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling, • Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools), • Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management, • A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do • Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components, • Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows, • Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation, • Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments, • Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks, • Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems, • Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform, • Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring, • Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling, • Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems, • Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations, • Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling, • Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools), • Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management, • A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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. About the role Join us as an Engineering Lead in Sky's Content Platform, building and operating the systems that power content delivery at scale. From video ingest and encoding to metadata and distribution, you'll work on high-impact services used by millions of customers while setting technical direction, raising engineering standards, and delivering reliable, scalable services in a fast-moving, cloud-native environment. Please note - this is a hybrid role with an on-call rotation twice a month. What you'll do • Build and operate cloud-native services on AWS using microservices and event-driven architecture, • Deliver independently deployable features with a strong focus on quality, reliability, and performance, • Contribute to code, reviews, and team discussions to maintain high engineering standards, • Own services end to end, including deployment, monitoring, and production support, with out-of-hours participation where required, • Develop and improve CI/CD pipelines, automated testing, and infrastructure as code, • Work on systems supporting video ingest, encoding, metadata, and content distribution workflows, • Use observability and metrics to identify issues and improve system performance, • Collaborate with engineers, analysts, and QA to deliver high-quality solutionsWhat you'll bring, • Strong backend engineering experience with Python preferred, and the ability to work across or pick up other languages such as Java or C#, • Strong understanding of distributed systems and event-driven architectures, with experience in video, encoding, or broadcast workflows, • Hands-on experience building and operating services on AWS, • Strong experience designing and delivering APIs and microservices, • Experience with CI/CD pipelines, automated testing, and production support, • Ability to debug and resolve issues in production environments, • A pragmatic mindset with the ability to deliver value while maintaining quality, • Strong communication skills and the ability to work effectively in a teamTeam overview Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses, and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content. The rewards There's 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: 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. 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: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. 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 experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There'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."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do • Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components, • Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows, • Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation, • Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments, • Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks, • Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems, • Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform, • Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring, • Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling, • Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems, • Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations, • Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling, • Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools), • Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management, • A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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 experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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.

White Collar Factory (95009), United Kingdom, London, London Engineering Manager – Software & ML We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments. You’ll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models are integrated into seamless, consumer-facing experiences. * Lead & Scale: Support a cross-functional group of engineers to design, develop, and integrate software features that are vital to the lives of credit card consumers. * Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. * Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into our production software. * Build Robust Systems: Oversee the development of platforms that are performant, secure, and capable of handling the unique deployment needs of AI-powered features. * Optimize Delivery: Enhance engineering and agile processes, ensuring that model updates and software releases move in sync. * Leadership Excellence: Proven experience leading and supporting software engineering teams to achieve business goals. * Technical Breadth: Excellent knowledge of RESTful API development in modern languages (Java, Python, or .Net) and experience with Cloud environments (AWS or Azure). * AI Awareness: You aren't necessarily a researcher, but you have expectations of how AI fits into the stack. You understand the basics of model inference, data requirements, and how to manage the non-deterministic nature of AI. * Strategic Thinking: Comfortable making technical trade-offs between the need for rapid experimentation and long-term architectural stability. * Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. * ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. * Regulated AI: Navigating the complexities of fairness and transparency in a regulated financial landscape. * Cloud Evolution: Deepening your expertise in AWS/Cloud native tools that support modern intelligent applications. This is a permanent position based in either our London or Nottingham offices. We have a hybrid working model. You'll be based in the office 3 days a week (Tuesdays, Wednesdays, and Thursdays) to foster team connection and collaboration. * Innovation Time: We give you 10% of your time to work on cutting-edge projects—whether that’s exploring new AI frameworks or building internal tools. * Growth: Access to Capital One University and external training to help you grow as both a leader and a technical strategist. * Total Reward: Competitive salary, performance bonus, and immediate access to core benefits (pension, private medical, and generous holiday). * World-Class Facilities: From our Nottingham gym and music rooms to our London rooftop running track and premium coffee bars. We pride ourselves on hiring the best people, not the same people. We partner with organisations like Women in Tech and Stonewall to ensure we build teams that reflect the customers we serve. We offer a host of internal networks including REACH (Race Equality and Culture Heritage), OutFront (LGBTQ+ support), and Mind Your Mind. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Trainee AI Engineer - No Experience Needed!\n\nReady to launch a future-proof career in AI - even if you have zero experience?\n\nWe’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location.\n\nWhether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months.\n\nHow it works - your journey to AI success\n\nStep 1: Discover AI\n\nStart your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform.\n\nStep 2: Full-Stack AI Mastery\n\nDive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn.\n\nStep 3: Get Certified\n\nPrepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers.\n\nStep 4: Real-World Projects\n\nShowcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one.\n\nYour guaranteed future\n\nAfter completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home.\n\nWe guarantee a job offer upon completion or 100% of your course fees refunded.\n\nWe’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like.\n\nAt a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.\n\nReady to future-proof your career?\n\nIf you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps.\n\n‘Please note that this is a training course and fees apply

Data Scientist Placement Programme - No Experience Required\n\nOur training will help you kick-start a new career as a Data Scientist.\n\nWe are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion.\n\nWhether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.\n\nThe traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months:\n\nStep 1 - Full Data Science Career Training\n\nYou will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study.\n\nThis step will fully prepare you for the professional projects that you will undertake in step 4 of this process.\n\nAt the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2.\n\nStep 2 - CompTIA Data+\n\nCompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd.\n\nStep 3 - Official Exam\n\nThe CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online.\n\nStep 4 - Practical Projects\n\nNow that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned.\n\nWhilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage.\n\nYour Data Science Role\n\nOnce you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates.\n\nAt a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.\n\nRead through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.\n\n‘Please note that this is a training course and fees apply

Trainee AI Programmer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking 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 you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Please note this is a training programme with career placement and fees apply*\n\nIf you are looking to progress a career in computer programming or web development, then this training and placement programme is made for you?\n\nSkills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers.\n\nAll you need is a desire to work hard and invest some time and money in yourself to build the foundations for a new career.\n\nWe help you start your career journey in programming by firstly ensuring you have the necessary industry recognised certifications and skills required to build a career.\n\nWe ensure you market yourself properly through a structured career driven cv and LinkedIn profile highlighting your skills, any experience, and relevant transferable skills from other roles.\n\nFinally, our tutors will help you create a credible portfolio to demonstrate your skills and abilities to potential new employers.\n\nWe have many years of experience in helping graduates find their first roles in top UK companies and organisations who need to employ entry-level qualified programming staff that can hit the ground running with up-to-date skills gained from this programme.\n\nThe programme is specifically designed for individuals with none or limited experience but a real desire to start a career. Therefore, please do not apply if you are already an experienced programmer.\n\nWhether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in as little as a few weeks or a few months (see steps 1 to 4 below). Study timings are approximate and assume you can study for a minimum 5 hours per week. *Training times will be reduced if you are able to invest more time each week.\n\nStage 1 – Learn HTML and CSS (*up to 12 weeks)\n\nThe first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey.\n\n * HTML Essentials (*up to 6 weeks)\n\n * CSS Essentials (*up to weeks)\n\nTraining is delivered through multimedia rich video tutorials, presentations and quizzes using an online portal enabling you to study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor who will work with you 1-2-1 or in group sessions to provide additional training and support.\n\nOnce the HTML & CSS courses are complete, your trainer will move you forward to the next stage.\n\nStage 2 – Additional Online Training (*up to 12 weeks)\n\nThe second step includes a selection of more advanced courses to get you up to speed for what is required and relevant for many entry level programming roles and help you get a step ahead.\n\n * Learn the Command Line (*1.5 weeks)\n\n * Learn Git & GitHub (*1.5 weeks)\n\n * Learn JavaScript (*1.5 weeks)\n\n * Learn Python 3 (*1.5 weeks)\n\nJavaScript forms the foundation of almost everything you see on the Internet. Therefore, this is an essential addition language in building your programming and development foundation.\n\nPython is a highly versatile programming language and due to its relatively “easy to understand” commands now one of the most common programming languages used. You can use it for both small and complex tasks, and it is used across many different industries broadening your scope of opportunity.\n\nStep 3 - Building a Portfolio Website Project (1 week)\n\nYour tutor will provide you with some exercises and guidelines to help you build your own personalised portfolio. Having a strong portfolio to which demonstrates and showcases your range of skills and ability is essential within a programming career.\n\nIn addition, we will now provide additional Study Courses for your continued development and broadening of your skills. Completion of these course is voluntary but recommended.\n\n * AWS Certified Cloud Practitioner\n\n * Microsoft Certified: Azure Administrator Associate\n\nStep 4 – Entry Level Coding placement (£25K - £40k)\n\nWe will now work with you to help you secure your first role in a role utilising your new skills in a coding, programming, or web development role. Entry level roles typically start between £25K - £40k dependant on any prior knowledge or experience you may have.\n\nThere are many entry level roles where your newly learned skills can be applied meaning a vast array of opportunities are now available to you. Examples of some of these are listed below: -\n\n * Junior Developer\n\n * Website Support Developer\n\n * Junior Web Developer\n\n * Content Editor\n\n * Wordpress Developer\n\n * Junior Software Developer\n\n * Junior Front or Back End Development\n\n * Development Support\n\nWe have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. We also have a 4.9 Trustpilot rating and numerous testimonials available on our website.\n\nOur money back Job Guarantee\n\nDue to our success and confidence in the results we deliver, and the skills shortage for entry-level coding staff we guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business.\n\nQualification for this programme?\n\nTo ensure we maintain a high level of support for our candidates, we limit spaces to this programme.\n\nApply before the deadline and one of our consultants will speak with you to check your eligibility for the programme

Please note this is a training programme with career placement and fees apply*\n\nIf you are looking to progress a career in computer programming or web development, then this training and placement programme is made for you?\n\nSkills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers.\n\nAll you need is a desire to work hard and invest some time and money in yourself to build the foundations for a new career.\n\nWe help you start your career journey in programming by firstly ensuring you have the necessary industry recognised certifications and skills required to build a career.\n\nWe ensure you market yourself properly through a structured career driven cv and LinkedIn profile highlighting your skills, any experience, and relevant transferable skills from other roles.\n\nFinally, our tutors will help you create a credible portfolio to demonstrate your skills and abilities to potential new employers.\n\nWe have many years of experience in helping graduates find their first roles in top UK companies and organisations who need to employ entry-level qualified programming staff that can hit the ground running with up-to-date skills gained from this programme.\n\nThe programme is specifically designed for individuals with none or limited experience but a real desire to start a career. Therefore, please do not apply if you are already an experienced programmer.\n\nWhether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in as little as a few weeks or a few months (see steps 1 to 4 below). Study timings are approximate and assume you can study for a minimum 5 hours per week. *Training times will be reduced if you are able to invest more time each week.\n\nStage 1 – Learn HTML and CSS (*up to 12 weeks)\n\nThe first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey.\n\n * HTML Essentials (*up to 6 weeks)\n\n * CSS Essentials (*up to weeks)\n\nTraining is delivered through multimedia rich video tutorials, presentations and quizzes using an online portal enabling you to study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor who will work with you 1-2-1 or in group sessions to provide additional training and support.\n\nOnce the HTML & CSS courses are complete, your trainer will move you forward to the next stage.\n\nStage 2 – Additional Online Training (*up to 12 weeks)\n\nThe second step includes a selection of more advanced courses to get you up to speed for what is required and relevant for many entry level programming roles and help you get a step ahead.\n\n * Learn the Command Line (*1.5 weeks)\n\n * Learn Git & GitHub (*1.5 weeks)\n\n * Learn JavaScript (*1.5 weeks)\n\n * Learn Python 3 (*1.5 weeks)\n\nJavaScript forms the foundation of almost everything you see on the Internet. Therefore, this is an essential addition language in building your programming and development foundation.\n\nPython is a highly versatile programming language and due to its relatively “easy to understand” commands now one of the most common programming languages used. You can use it for both small and complex tasks, and it is used across many different industries broadening your scope of opportunity.\n\nStep 3 - Building a Portfolio Website Project (1 week)\n\nYour tutor will provide you with some exercises and guidelines to help you build your own personalised portfolio. Having a strong portfolio to which demonstrates and showcases your range of skills and ability is essential within a programming career.\n\nIn addition, we will now provide additional Study Courses for your continued development and broadening of your skills. Completion of these course is voluntary but recommended.\n\n * AWS Certified Cloud Practitioner\n\n * Microsoft Certified: Azure Administrator Associate\n\nStep 4 – Entry Level Coding placement\n\nWe will now work with you to help you secure your first role in a role utilising your new skills in a coding, programming, or web development role. Entry level roles typically start between £25K - £40k dependant on any prior knowledge or experience you may have.\n\nThere are many entry level roles where your newly learned skills can be applied meaning a vast array of opportunities are now available to you. Examples of some of these are listed below: -\n\n * Junior Developer\n\n * Website Support Developer\n\n * Junior Web Developer\n\n * Content Editor\n\n * Wordpress Developer\n\n * Junior Software Developer\n\n * Junior Front or Back End Development\n\n * Development Support\n\nWe have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. We also have a 4.9 Trustpilot rating and numerous testimonials available on our website.\n\nOur money back Job Guarantee\n\nDue to our success and confidence in the results we deliver, and the skills shortage for entry-level coding staff we guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business.\n\nQualification for this programme?\n\nTo ensure we maintain a high level of support for our candidates, we limit spaces to this programme.\n\nApply before the deadline and one of our consultants will speak with you to check your eligibility for the programme

Please note this is a training programme with career placement and fees apply*\nIf you are looking to progress a career in computer programming or web development, then this training and placement programme is made for you?\nSkills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers.\nAll you need is a desire to work hard and invest some time and money in yourself to build the foundations for a new career.\nWe help you start your career journey in programming by firstly ensuring you have the necessary industry recognised certifications and skills required to build a career.\nWe ensure you market yourself properly through a structured career driven cv and LinkedIn profile highlighting your skills, any experience, and relevant transferable skills from other roles.\nFinally, our tutors will help you create a credible portfolio to demonstrate your skills and abilities to potential new employers.\nWe have many years of experience in helping graduates find their first roles in top UK companies and organisations who need to employ entry-level qualified programming staff that can hit the ground running with up-to-date skills gained from this programme.\nThe programme is specifically designed for individuals with none or limited experience but a real desire to start a career. Therefore, please do not apply if you are already an experienced programmer.\nWhether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in as little as a few weeks or a few months (see steps 1 to 4 below). Study timings are approximate and assume you can study for a minimum 5 hours per week. *Training times will be reduced if you are able to invest more time each week.\nStage 1 – Learn HTML and CSS (*up to 12 weeks)\nThe first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey.\n * HTML Essentials (*up to 6 weeks)\n * CSS Essentials (*up to weeks)\nTraining is delivered through multimedia rich video tutorials, presentations and quizzes using an online portal enabling you to study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor who will work with you 1-2-1 or in group sessions to provide additional training and support.\nOnce the HTML & CSS courses are complete, your trainer will move you forward to the next stage.\nStage 2 – Additional Online Training (*up to 12 weeks)\nThe second step includes a selection of more advanced courses to get you up to speed for what is required and relevant for many entry level programming roles and help you get a step ahead.\n * Learn the Command Line (*1.5 weeks)\n * Learn Git & GitHub (*1.5 weeks)\n * Learn JavaScript (*1.5 weeks)\n * Learn Python 3 (*1.5 weeks)\nJavaScript forms the foundation of almost everything you see on the Internet. Therefore, this is an essential addition language in building your programming and development foundation.\nPython is a highly versatile programming language and due to its relatively “easy to understand” commands now one of the most common programming languages used. You can use it for both small and complex tasks, and it is used across many different industries broadening your scope of opportunity.\nStep 3 - Building a Portfolio Website Project (1 week)\nYour tutor will provide you with some exercises and guidelines to help you build your own personalised portfolio. Having a strong portfolio to which demonstrates and showcases your range of skills and ability is essential within a programming career.\nIn addition, we will now provide additional Study Courses for your continued development and broadening of your skills. Completion of these course is voluntary but recommended.\n * AWS Certified Cloud Practitioner\n * Microsoft Certified: Azure Administrator Associate\nStep 4 – Entry Level Coding placement (£25K - £40k)\nWe will now work with you to help you secure your first role in a role utilising your new skills in a coding, programming, or web development role. Entry level roles typically start between £25K - £40k dependant on any prior knowledge or experience you may have.\nThere are many entry level roles where your newly learned skills can be applied meaning a vast array of opportunities are now available to you. Examples of some of these are listed below: -\n * Junior Developer\n * Website Support Developer\n * Junior Web Developer\n * Content Editor\n * Wordpress Developer\n * Junior Software Developer\n * Junior Front or Back End Development\n * Development Support\nWe have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. We also have a 4.9 Trustpilot rating and numerous testimonials available on our website.\nOur money back Job Guarantee\nDue to our success and confidence in the results we deliver, and the skills shortage for entry-level coding staff we guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business.\nQualification for this programme?\nTo ensure we maintain a high level of support for our candidates, we limit spaces to this programme.\nApply before the deadline and one of our consultants will speak with you to check your eligibility for the programme

Please note this is a training programme and fees apply*\nAre you looking to benefit from a new career in Programming?\nSkills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers.\nWe help place graduates from this programme in top UK companies and organisations needing to employ entry-level Programming staff that can hit the ground running with up-to-date skills gained from this programme.\nThe best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion.\nWhether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps.\nStep 1 -HTML and CSS Online Training (*12 weeks)\nThe first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey.\n * \n HTML Essentials (6 weeks)\n * \n CSS Essentials (6 weeks)\nThe training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training.\nOnce the HTML & CSS courses are complete, you will be ready to move forward.\nStep 2 -Online Training (*12 weeks)\nThe second step includes a selection of more advanced courses to get you up to speed.\n * \n Learn the Command Line (1.5 weeks)\n * \n Learn Git & GitHub (1.5 weeks)\n * \n Learn JavaScript (1.5 weeks)\n * \n Learn Python 3 (1.5 weeks)\nJavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries.\nStep 3 - Build a Portfolio Website Project (1 week)\nAdditional Courses\n * \n AWS Certified Cloud Practitioner\n * \n Microsoft Certified: Azure Administrator Associate\nStep 4 - Junior Programmer placement (£25K - £40k)\nWe work with you to secure your first role as a Junior Programmer, with a starting salary of anywhere between £25K - £40k. While working as a Junior Programmer, we will release your second batch of training which is specifically designed to qualify you to move into the programming field.\nProgrammer Role\nOnce you have completed all the mandatory training in step four and have gained two plus years experience in the coding industry, you will be ready to move into higher paying programming roles. Our recruitment support team specialises in the Web and programming space and roles at this level have an average starting salary of £45K.\nWe have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training.\nIn addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity.\nJob Guarantee\nDue to the success of this programme and the skills shortage of entry-level coding staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business.\nPassionate about starting a career in coding? Apply now and one of our friendly advisors will be in touch.\nKeywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer

Please note this is a training programme with career placement and fees apply*\n\nIf you are looking to progress a career in website administrator, then this training and placement programme is made for you?\n\nSkills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers.\n\nAll you need is a desire to work hard and invest some time and money in yourself to build the foundations for a new career.\n\nWe help you start your career journey in programming by firstly ensuring you have the necessary industry recognised certifications and skills required to build a career.\n\nWe ensure you market yourself properly through a structured career driven cv and LinkedIn profile highlighting your skills, any experience, and relevant transferable skills from other roles.\n\nFinally, our tutors will help you create a credible portfolio to demonstrate your skills and abilities to potential new employers.\n\nWe have many years of experience in helping graduates find their first roles in top UK companies and organisations who need to employ entry-level qualified programming staff that can hit the ground running with up-to-date skills gained from this programme.\n\nThe programme is specifically designed for individuals with none or limited experience but a real desire to start a career. Therefore, please do not apply if you are already an experienced programmer.\n\nWhether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in as little as a few weeks or a few months (see steps 1 to 4 below). Study timings are approximate and assume you can study for a minimum 5 hours per week. *Training times will be reduced if you are able to invest more time each week.\n\nStage 1 – Learn HTML and CSS (*up to 12 weeks)\n\nThe first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey.\n\n * HTML Essentials (*up to 6 weeks)\n\n * CSS Essentials (*up to weeks)\n\nTraining is delivered through multimedia rich video tutorials, presentations and quizzes using an online portal enabling you to study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor who will work with you 1-2-1 or in group sessions to provide additional training and support.\n\nOnce the HTML & CSS courses are complete, your trainer will move you forward to the next stage.\n\nStage 2 – Additional Online Training (*up to 12 weeks)\n\nThe second step includes a selection of more advanced courses to get you up to speed for what is required and relevant for many entry level programming roles and help you get a step ahead.\n\n * Learn the Command Line (*1.5 weeks)\n\n * Learn Git & GitHub (*1.5 weeks)\n\n * Learn JavaScript (*1.5 weeks)\n\n * Learn Python 3 (*1.5 weeks)\n\nJavaScript forms the foundation of almost everything you see on the Internet. Therefore, this is an essential addition language in building your programming and development foundation.\n\nPython is a highly versatile programming language and due to its relatively “easy to understand” commands now one of the most common programming languages used. You can use it for both small and complex tasks, and it is used across many different industries broadening your scope of opportunity.\n\nStep 3 - Building a Portfolio Website Project (1 week)\n\nYour tutor will provide you with some exercises and guidelines to help you build your own personalised portfolio. Having a strong portfolio to which demonstrates and showcases your range of skills and ability is essential within a programming career.\n\nIn addition, we will now provide additional Study Courses for your continued development and broadening of your skills. Completion of these course is voluntary but recommended.\n\n * AWS Certified Cloud Practitioner\n\n * Microsoft Certified: Azure Administrator Associate\n\nStep 4 – Entry Level Web Administrator placement\n\nWe will now work with you to help you secure your first role in a role utilising your new skills in a coding, programming, or a web development role. Entry level roles typically start between £25K - £40k dependant on any prior knowledge or experience you may have.\n\nThere are many entry level roles where your newly learned skills can be applied meaning a vast array of opportunities are now available to you. Examples of some of these are listed below: -\n\n * Junior Developer\n\n * Website Administrator\n\n * Website Support Developer\n\n * Junior Web Developer\n\n * Content Editor\n\n * Wordpress Developer\n\n * Junior Software Developer\n\n * Junior Front or Back End Development\n\n * Development Support\n\nWe have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Platinum Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. We also have a 4.9 Trustpilot rating and numerous testimonials available on our website.\n\nOur money back Job Guarantee\n\nDue to our success and confidence in the results we deliver, and the skills shortage for entry-level coding staff we guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business.\n\nQualification for this programme?\n\nTo ensure we maintain a high level of support for our candidates, we limit spaces to this programme.\n\nApply before the deadline and one of our consultants will speak with you to check your eligibility for the programme

Trainee AI Technician – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking 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 you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £28,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\n\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\n\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\n\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\n\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\n\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\n\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\n\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\n\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\n\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\n\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\n\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\n\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\n\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\n\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\n\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £28,000–£45,000\n\nWe Get You Hired\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Please note this is a training course and fees apply*\n\nAre you looking to benefit from a new career in Data Analysis?\n\nIf you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst\n\nWe do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.\n\nPlease 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.\n\nDemand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.\n\nBelow are current average salaries in the sector for lower-level positions and fully trained Data Analysts:\n\n * Junior Data Analyst - £30,000\n\n * Data Analyst - £50,000\n\n * Business Data Analyst - £67,500\n\n * Data Analytics Analyst - £80,000\n\n * Business Analysts - £60,000\n\nUsing our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.\n\nThe courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.\n\nSkills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.\n\nWhether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.\n\nStep 1 - CompTIA Data+ Qualification\n\nThe first step is completing the CompTIA Data+ Qualification accredited by CompTIA.\n\nThis professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.\n\nStudy time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.\n\nThe course is provided online and comes complete with exam simulators and revision tools.\n\nYou will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.\n\nThis qualification will set you on a route to becoming a data analyst.\n\nStep 2 - Data Administration Training\n\nData is extracted using various method which are normally IT driven.\n\nTherefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.\n\n * Microsoft excel - to expert level.\n\n * Learn SQL - the programming language used for extracting data from more complex databases.\n\n * Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.\n\n * Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.\n\nStudy time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.\n\nStep 3 - Business Analysis Foundation\n\nBusiness Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.\n\nAdding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).\n\nStudy time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.\n\nStep 4 - Recruitment Support\n\nNow you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.\n\nWe have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.\n\nOur Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.\n\nThey will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.\n\nOur money back guarantee\n\nIf after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.\n\nHowever, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.\n\nCheck our testimonials from the hundreds of candidates we have already helped.\n\nWhat Now?\n\nTo accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.\n\nEnquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations

Please note this is a training programme with career placement and fees apply*\nIf you are looking to progress a career in computer programming or web development, then this training and placement programme is made for you?\nSkills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers.\nAll you need is a desire to work hard and invest some time and money in yourself to build the foundations for a new career.\nWe help you start your career journey in programming by firstly ensuring you have the necessary industry recognised certifications and skills required to build a career.\nWe ensure you market yourself properly through a structured career driven cv and LinkedIn profile highlighting your skills, any experience, and relevant transferable skills from other roles.\nFinally, our tutors will help you create a credible portfolio to demonstrate your skills and abilities to potential new employers.\nWe have many years of experience in helping graduates find their first roles in top UK companies and organisations who need to employ entry-level qualified programming staff that can hit the ground running with up-to-date skills gained from this programme.\nThe programme is specifically designed for individuals with none or limited experience but a real desire to start a career. Therefore, please do not apply if you are already an experienced programmer.\nWhether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in as little as a few weeks or a few months (see steps 1 to 4 below). Study timings are approximate and assume you can study for a minimum 5 hours per week. *Training times will be reduced if you are able to invest more time each week.\nStage 1 – Learn HTML and CSS (*up to 12 weeks)\nThe first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey.\n * HTML Essentials (*up to 6 weeks)\n * CSS Essentials (*up to weeks)\nTraining is delivered through multimedia rich video tutorials, presentations and quizzes using an online portal enabling you to study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor who will work with you 1-2-1 or in group sessions to provide additional training and support.\nOnce the HTML & CSS courses are complete, your trainer will move you forward to the next stage.\nStage 2 – Additional Online Training (*up to 12 weeks)\nThe second step includes a selection of more advanced courses to get you up to speed for what is required and relevant for many entry level programming roles and help you get a step ahead.\n * Learn the Command Line (*1.5 weeks)\n * Learn Git & GitHub (*1.5 weeks)\n * Learn JavaScript (*1.5 weeks)\n * Learn Python 3 (*1.5 weeks)\nJavaScript forms the foundation of almost everything you see on the Internet. Therefore, this is an essential addition language in building your programming and development foundation.\nPython is a highly versatile programming language and due to its relatively “easy to understand” commands now one of the most common programming languages used. You can use it for both small and complex tasks, and it is used across many different industries broadening your scope of opportunity.\nStep 3 - Building a Portfolio Website Project (1 week)\nYour tutor will provide you with some exercises and guidelines to help you build your own personalised portfolio. Having a strong portfolio to which demonstrates and showcases your range of skills and ability is essential within a programming career.\nIn addition, we will now provide additional Study Courses for your continued development and broadening of your skills. Completion of these course is voluntary but recommended.\n * AWS Certified Cloud Practitioner\n * Microsoft Certified: Azure Administrator Associate\nStep 4 – Entry Level Coding placement\nWe will now work with you to help you secure your first role in a role utilising your new skills in a coding, programming, or web development role. Entry level roles typically start between £25K - £40k dependant on any prior knowledge or experience you may have.\nThere are many entry level roles where your newly learned skills can be applied meaning a vast array of opportunities are now available to you. Examples of some of these are listed below: -\n * Junior Developer\n * Website Support Developer\n * Junior Web Developer\n * Content Editor\n * Wordpress Developer\n * Junior Software Developer\n * Junior Front or Back End Development\n * Development Support\nWe have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. We also have a 4.9 Trustpilot rating and numerous testimonials available on our website.\nOur money back Job Guarantee\nDue to our success and confidence in the results we deliver, and the skills shortage for entry-level coding staff we guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business.\nQualification for this programme?\nTo ensure we maintain a high level of support for our candidates, we limit spaces to this programme.\nApply before the deadline and one of our consultants will speak with you to check your eligibility for the programme

Junior AI Developer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking 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 you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Developer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Trainee AI Engineer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking 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 you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

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 you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. Please note this is a training course and fees apply

Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst 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. 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. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Data Analyst - £67,500, • Data Analytics Analyst - £80,000 The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations. Please note this is a training course and fees apply

A successful multinational technology business is looking for a Data Reliability Engineer to join its growing data team in Central London. This role is hybrid – you’ll be able to work from home 2 days per week.This is a high-impact role focused on improving data quality, reducing incidents, and building scalable observability across a modern enterprise data platform. You’ll help ensure data across the organisation is accurate, reliable, and trusted for critical business decision-making. You’ll take ownership of data reliability end-to-end, designing and implementing frameworks that monitor data health, detect anomalies, and enforce standards across complex data pipelines and platforms.You’ll have experience in Data Engineering, Data Platform, or SRE-style roles, with strong SQL and Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage.Working across Data Engineering and Data Governance teams, you’ll help shift the organisation from reactive issue resolution to a proactive, reliability-led approach. You’ll define and manage data SLAs and SLOs, implement automated validation and observability tooling, and lead root cause analysis when issues occur.You’ll also have experience building automated data validation frameworks, defining SLAs/SLOs, and working with distributed data architectures. Familiarity with CI/CD and Infrastructure-as-Code is beneficial. Most importantly, you’re a proactive problem-solver who enjoys working collaboratively and improving systems at their root cause. If you’re looking to take ownership of data reliability in a complex enterprise environment and make a real impact on how data is trusted and used, apply today for immediate consideration.

Senior Platform Engineer (Azure) Manchester or London (Hybrid) £90,000 + 10% Bonus + Excellent Benefits Build the Platform That Powers Data We’re hiring a Senior Platform Engineer to help design and operate a secure, scalable enterprise data platform supporting advanced analytics and business intelligence. Important: This is fundamentally a Platform Engineering role. You’ll focus on infrastructure, automation, and platform reliability, rather than building data pipelines. We do welcome candidates from data engineering backgrounds—provided you bring strong platform engineering experience, particularly with Infrastructure as Code (e.g. Terraform), CI/CD, and cloud platform design. What You’ll Be Doing • Designing and delivering robust, automated Azure & Snowflake platform components, • Building and maintaining Infrastructure as Code (Terraform) across environments, • Creating and optimising CI/CD pipelines (Azure DevOps, GitHub Actions), • Implementing observability practices (logging, monitoring, alerting), • Ensuring platform security, scalability, and performance, • Collaborating with architects and senior engineers on platform standards, • Mentoring engineers and promoting engineering best practicesWhat We’re Looking For, • Strong experience in Platform Engineering (not just data pipeline development), • Expertise in Azure-based environments and/or Snowflake, • Hands-on experience with Terraform or similar IaC tooling, • Proven ability to build and manage CI/CD pipelines, • Solid understanding of cloud security and observability, • Scripting skills (PowerShell, Bash, Python), • Strong communicator with experience working across teamsIdeal Backgrounds, • Platform Engineers working in data environments, • DevOps/Platform Engineers with exposure to data platforms, • Data Engineers who have moved into platform, IaC, or DevOps-focused rolesWhy Join?, • £90,000 + 10% bonus, • Hybrid working (Manchester or London), • High-impact role in a mission-driven healthcare & insurance setting, • Opportunity to shape and influence a modern data platform, • Strong engineering culture with a focus on automation and best practice

SaaS Systems Manager D365 F&O – Financial Services A leading financial services organisation is seeking an experienced SaaS Systems Manager to oversee and optimise their finance technology landscape. Reporting to both the IT Director and Group Finance & Strategy Director, you’ll support core finance systems, drive process improvements, and partner closely with global finance teams.Role & Responsibilities • Own and manage OneStream and Microsoft Dynamics D365 in line with Finance and IS standards., • Maintain legal entity hierarchies, system configurations, access controls, and user permissions., • Partner with accounting teams to resolve D365 issues and ensure smooth daily operations., • Extract data and perform ETL tasks; manage integrations and data flows between systems., • Gather and document business requirements for new functionality, modules, and localisation., • Lead testing, validation, system changes, and workshops with finance and IT teams., • Support integration of new business units into the company’s financial systems., • Build dashboards, reports, workflows, and enhance financial processes in OneStream and D365., • Maintain group COA, create new entities/dimensions, and align mapping with local finance leads., • Liaise with finance teams, auditors, and stakeholders to ensure systems meet reporting needs.Essential Skills & Experience, • 3+ years’ experience with OneStream, Dynamics 365, Hyperion, or similar finance systems., • Must have direct experience with D365 (Ideally F&O), • Strong understanding of consolidation, accounting processes, and global financial structures., • Experience with PowerBI and Python., • Excellent Excel, analytical, communication, and project management skills.Desirable, • Degree in Finance, Accounting, Business, or Information Systems., • Accounting qualification (ACA/ACCA/CIMA)., • Experience in multinational organisations and IFRS/GAAP frameworks., • OneStream or CPM certifications., • Reval TMSPackage, • £85–105k base (DOE), • Hybrid working (City of London), • Health insurance, pension, and professional developmentSaaS Systems Manager D365 F&O – Financial Services

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. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. With our Data Analytics career programme we will provide you with: • 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data+ & Azure AI Fundamentals, • 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data+, & Microsoft Azure AI Fundamentals, • 100+ hours of live instructor-led online classroom training, • Real-world Data Analyst project work & live labs to boost your CV, • Exam & interview preparation We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click 'Apply Now’ to begin your new data career!

Senior Analyst London - hybrid - 3x a week Up to £60,000 This is a high impact senior individual contributor role where you will take ownership of some of the most critical commercial metrics in a large, digital first organisation. You will play a central role in shaping how customer value and revenue performance are measured, trusted and used to drive growth across marketing and reader revenue. The CompanyThey are a well-established, purpose-led digital publisher with a global audience and a strong focus on reader-sponsored revenue. Operating at a significant scale, they combine subscription and contribution models with advertising to fund high quality journalism. Their data function plays a critical role in supporting sustainable growth and long term customer relationships. The Role * Own and continuously improve lifetime value (LTV) and core revenue metrics across multiple products and customer journeys. • Enhance and maintain analytical data models, ensuring reliability, performance and scalability as products and revenue streams evolve., • Take ownership of key marketing and revenue dashboards, ensuring stakeholders can trust and act on the insights., • Support experimentation and A/B testing, providing analytical input for strategic, non BAU initiatives., • Partner with stakeholders across marketing, product and strategy to interpret performance, explain drivers and guide decision making., • Strong commercial experience operating as a senior analyst in a fast paced, data rich environment. Proven ownership of lifetime value (LTV) modelling and closely related metrics such as revenue attribution and experimentation analysis. • Advanced SQL skills with experience using Python for analysis., • Experience working with BI tools such as Power BI or Tableau., • Exposure to modern analytics engineering tools such as dbt is beneficial, but not essential., • A senior, visible role with genuine ownership of business critical metrics.

Lead Product AnalystLondon - hybrid 3x a week Up to £100,000 + equity This is a high impact Lead Product Analyst role where you will shape how data drives product and customer experiences within a fast-paced, product-led technology business. With a strong focus on personalisation and experimentation, this role offers the chance to influence core commercial outcomes while working on a rapidly scaling international portfolio. The Company They are a well-established, data driven fintech operating a multi-product consumer app across lending and financial services. Known for their strong analytical culture, they have been profitable for several years and continue to grow at pace, including significant expansion into the US market. Data sits at the centre of decision making, with analytics embedded closely alongside product, engineering and growth teams. The Role You will operate as a senior individual contributor within the product analytics function, owning insight across key customer journeys and driving measurable impact. • Lead product analytics for a consumer app, focusing on personalisation and customer relevance, • Use data to determine the right product, message or experience to show each user at the right time, • Partner closely with product managers, engineers and data scientists in a cross functional, pod based environment, • Drive experimentation through robust AB testing and funnel analysis to improve conversion and engagement, • Support recommendation systems and propensity models to predict customer behaviour and purchase likelihood, • Analyse customer journeys, drop offs and lifecycle behaviour to optimise in app and push notification experiences, • Strong experience in product or growth analytics within consumer facing digital products, • Advanced SQL and strong Python skills, with Python central to day to day analysis, • Proven experience with experimentation, AB testing and causal analysis, • Exposure to propensity modelling or recommendation based use cases, • A commercial mindset with the ability to link analysis to business outcomes, • Experience working closely with product and engineering teams in agile environments, • Salary up to £100,000, • Equity participation, • Hybrid working with three days per week in the London office, • A highly visible role with real ownership and influence over product direction

Your new companyWorking for a renowned financial services organisation.Your new roleThe Oracle DBA/ Database Engineer is responsible for designing, building, optimizing, and maintaining database systems that are secure, reliable, and scalable. This role involves supporting and mentoring the operational database team by promoting best practices, driving automation, and introducing innovative technologies and approaches. The engineer will take ownership of operational requirements and ensure that any changes to standards and processes are implemented consistently across the organization. Beyond hands-on technical responsibilities, the position requires active participation in project meetings, planning sessions, and related activities under the guidance of project managers. Developing expertise in containerized database technologies, if not already acquired, will be essential for success in this role.What you'll need to succeedExperience of postgresSQL migration from oracle to postgres, devops tools (Ansible) Strong Oracle DBA BAU experience Seeking UNIX based core DBA expertise. • Oracle accredited certification or equivalent hands-on enterprise Oracle expertise., • Strong expertise with Oracle databases (19c/23c) - Install, configure, upgrade., • Strong SQL/PLSQL, RMAN, Data Guard, ASM, OEM., • Scripting experience using either shell scripting, YAML or Python to support automation, monitoring, integration, and operational tooling., • Proven determination and ability to automate database build, deployment, configuration, and operational tasks using Ansible or equivalent automation and configuration-management tools., • Experienced with UNIX based core DBA expertise., • Solid troubleshooting and performance tuning experience., • Proficient in containerisation and platform technologies, including containers and OpenShift, with a solid understanding of how PostgreSQL workloads, • Collaborate closely with project teams to support database-related deliverables, including design input, implementation, testing, and successful handover into BAU operations. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Full-Stack Software Engineer (Python / React) - Remote Full-Stack Software Engineer with strong Python (Flask Framework), React, and AWS experience is needed for one of our clients, an independent, research-tech startup that is transforming how the world evaluates and trusts academic research. This is a great opportunity for any experienced Full-Stack Engineer looking to work in a high-growth, greenfield-leaning environment, or for someone ready to step up and take ownership of engineering delivery across modern cloud-native platforms. You'll be working closely with the Lead Engineers / Senior Engineers, helping drive innovation across backend, frontend, DevOps, and data engineering initiatives. The role is fully remote, with the odd meet up in London Key Skills Required • Strong experience in Full-Stack Engineering, • Python (Flask), • React / TypeScript, • Comfort working in AWS environments, ideally with EKS / Kubernetes, • Strong Git-based development workflows, • Experience delivering features end-to-end in distributed teams, • Confident troubleshooting production issues in real time Desirable Skills • Apache Spark (EMR) & Delta Lake, • PostgreSQL (Aurora), • CI/CD using GitHub Actions, • IaC (Helm, CloudFormation) You'll be hands-on in a broad, impactful role: • Backend development using Python / Flask, • Maintain and expand the TypeScript / React frontend, • Build and maintain Dockerised microservices deployed to AWS (EKS), • Troubleshoot and optimise performance across the stack, • Support data ingestion and transformation pipelines (Spark-based), • Work cross-functionally with product and data specialists, • Help shape new features and influence engineering standards This role is 100% hands-on engineering, with the autonomy to take ownership of your domain Our client is reshaping the future of research. Backed by a recent milti million pound investment from industry leaders they are building the next generation of research tools Their mission is clear: • Research integrity using AI & Tech, • Scale technology, • Build best-in-class products If you're mission-driven and excited by solving big, meaningful problems, this is the team for you. My client is looking to pay a starting salary of between £65,000 - £75,000 If you think you have the right skills to flourish in this role or know someone who will fit the role, please send over your CV to matthew.leach @ circlerecruitment.com or click apply, and I will be in touch soon. Alternatively, please call on for further information Interviews will commence ASAPFull Stack Developer / Python / React / AWS London / Birmingham / Manchester / Nottingham / Bristol / Cambridge / UK Wide / Remote Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.

Telemetry & Observability Engineer | Contract | £475-£515 p/d | Inside IR35 | London | 3 days on site | 6 month contract We are seeking a highly skilled Telemetry & Observability Engineer to join a large-scale enterprise engineering environment focused on improving system reliability, visibility, and operational intelligence across complex distributed platforms. This role is ideal for a hands-on engineer who can go beyond using observability tools and instead design, build, and automate observability and telemetry solutions from the ground up. You will be responsible for building and evolving telemetry pipelines and observability infrastructure across a distributed, cloud-native environment. Working closely with network, platform, and software engineering teams, you will help embed observability into engineering workflows and CI/CD processes. Key Responsibilities • Design and implement scalable pipelines for metrics, logs, traces, and event data across distributed systems, • Build and enhance observability tooling, including dashboards, monitoring systems, alerting frameworks, and reliability standards, • Develop and maintain telemetry solutions using OpenTelemetry and related open-source technologies, • Automate observability infrastructure using Terraform and infrastructure-as-code practices, • Integrate monitoring and observability into CI/CD pipelines and SDLC processes, • Define and support SLIs, SLOs, and alerting strategies in collaboration with engineering teams, • Promote best practices in instrumentation, monitoring, and incident response, • Proven experience in observability, SRE, or platform engineering roles within complex distributed environments, • Strong hands-on experience with OpenTelemetry, including building and managing telemetry pipelines, • Experience with observability and monitoring tools such as: Grafana, Prometheus, Elastic / Splunk, Loki / Jaeger or similar, • Strong experience with Terraform or other infrastructure-as-code tools, • Solid understanding of cloud-native environments (Kubernetes, microservices, distributed systems), • Experience working within or alongside network engineering or infrastructure operations teams, • Programming experience in at least one language such as Python, Go, or Java, • Strong understanding of SLOs, SLIs, and modern reliability engineering practices, • Experience in regulated or large enterprise environments, • Exposure to AI/ML-driven observability or proactive monitoring initiatives Telemetry & Observability Engineer | Contract | £475-£515 p/d | Inside IR35 | London | 3 days on site | 6 month contract Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Position: App Developer Location: Vauxhall / Stratford Day Rate: £600 p.d Outside IR35 Must hold active DV clearance A central government department is looking for an experienced App Developer to join a high-security programme. This role requires working on-site 5 days per week in Vauxhall, moving later to Stratford later on in the project. Due to the nature of the work, candidates hold UKSV DV clearance. Key Skills & Experience • Strong expertise in Python, Docker, Kubernetes, and Data Governance, • Experience working in air-gapped environments, including managing dependencies and build pipelines without internet access, • Proven background building APIs for data enrichment services, • Orchestration & data pipeline experience with Prefect or Airflow, and K8s or Swarm, • Configuration and automation of business workflow tooling (e.g., Jira), • PyTorch, AI/ML, NLP, LLMs, • Experience with the Atlassian Suite, GitHub, Linux CLI

The Role A leading organisation in the aviation sector is undertaking a major HR data transformation programme, migrating from a legacy Oracle environment into Snowflake to create a unified, scalable HR data platform. The core data model has already been designed. The next phase focuses on: • Building logical data layers, • Developing scalable ETL pipelines, • Delivering a centralised HR data product, • Designing and developing ETL pipelines within Snowflake, • Working at the logical data modelling layer, • Challenging and supporting existing data architecture, • Collaborating with architects, data engineers, and insight teamsOwnership & Leadership, • Driving delivery of the HR data product within tight 4-6 week timelines, • Acting as a technical sounding board for architecture decisions, • Providing guidance and support to other engineersTech Stack, • Snowflake, • DBT, • Python (including Lambda for AWS workflows), • AWS (data pipelines + infrastructure), • Oracle (legacy system exposure beneficial), • Power BI (understanding of downstream consumption)Domain Experience, • Experience working with HR / People data is highly desirable, • Strong understanding of HR data structures and business logic, • Ability to translate engineering work into real business impactData Migration Scope, • Migration from Oracle Snowflake, • Handling both current and historical datasets, • Supporting testing phases: CIT and UITDelivery Timeline, • Architectural design completing in 1-2 weeks, • Engineering build to begin immediately, • Initial HR core module delivery in 4-6 weeks, • Longer-term (up to 6 months):, • Feeding datasets into reporting, • Validation & analysis, • UAT beginning SeptemberEnd Goal, • A fully unified, centralised HR data platform, • Integrated seamlessly with Power BI, • Scalable, reliable pipelines for ongoing analytics Stage 2 - 45 mins Competency + technical deep dive covering: • DBT development & modelling, • Snowflake engineering, • AWS pipelines (Python / Lambda), • Strong hands-on experience with Snowflake + DBT, • Proven track record building AWS-based Python/Lambda pipelines, • Background in data migration projects, • Confident challenging architecture and taking ownership, • Experience with HR/People data strongly preferred, • Comfortable delivering at speed and under time pressure

Security Engineer - DevSecOps Rate - £700 - £800 Inside IR35 total to umbrella Duration - 6 months initial with expected extensions Location - London (Three times a week on site) A leading global financial services organisation is looking for an experienced Security Engineer to help design, build and operate secure infrastructure and identity services across cloud and on-prem environments. This role sits within a high-performing Information Security team and plays a key part in strengthening the organisation's security posture. Role Overview: You'll lead on security engineering initiatives, own key security platforms, drive automation and support incident response and threat detection activities. You'll also contribute to strategic security projects and ensure secure, scalable and resilient solutions across the business. Key Responsibilities: • Deploy and manage enterprise security tools (SIEM, XDR, DLP, Email Security, Endpoint Protection)., • Build automation using Python, PowerShell, Bash., • Implement IaC using Terraform and Ansible., • Maintain secure baselines for Windows, Linux and Kubernetes., • Automate IAM workflows and integrate identity governance into CI/CD., • Support incident response, threat detection and Red/Blue team exercises., • Maintain security documentation and participate in on-call rotations. Qualifications & Experience: • Degree in Computer Science, Engineering, Information Systems or similar., • Preferred certifications: CISSP, GIAC, SC-200, AWS/Azure Security Specialty, CyberArk, SailPoint., • 5+ years' experience in security engineering or DevSecOps., • Strong knowledge of IAM (SailPoint, CyberArk, OAuth, SAML), scripting, CI/CD, Microsoft Defender, Windows/Linux/Kubernetes and network security tools (zScaler, Squid). Personal Qualities: • Strong analytical and problem solving skills., • Able to lead multiple projects and collaborate across teams., • Excellent communication and documentation skills., • Detail-driven, adaptable and committed to continuous improvement., • Passionate about automation and securing critical systems. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

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 per year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring. Course cost - £2295, or, £191.25 per month We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees. No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want. Click ‘Apply Now’ to begin your new career!

Our client is a well established company in its field are currently recruiting an Infrastructure IT Engineer Permanent full time office based Monday to Friday Design, deploy, and manage IT infrastructure systems, including servers, networks, and storage solutions.Monitor and maintain system performance, ensuring high availability and reliability.Implement and manage security measures to protect data and systems.Troubleshoot and resolve hardware and software issues.Collaborate with other IT team members to support various projects and initiatives.Maintain documentation for infrastructure configurations, processes, and procedures.Bachelor's degree in Computer Science, Information Technology, or a related field.3+ years of experience in IT infrastructure engineering or a similar role.Strong knowledge of network protocols, server hardware, and virtualisation technologies.Experience with cloud platforms (e.g., Azure, AWS) and hybrid environments.Proficiency in scripting languages (e.g., PowerShell, Python) for automation a benefit.Excellent problem-solving and analytical skills.Strong communication and teamwork abilities.Relevant certifications (e.g., CompTIA Network+, Microsoft Certified: Azure Administrator) are a plus. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.

Head of DataLocation: London (Hybrid - 3 days in office)Salary: £100k - £120k The Opportunity A leading, fast-growing, private equity-backed media group is looking for a Head of Data to build and lead its data capability from the ground up. This is a high-impact role where data sits at the core of commercial performance, operational efficiency, and strategic decision-making. The Role You will be responsible for defining and delivering the organisation's data strategy, while remaining hands-on in building the foundations. This includes developing a centralised data warehouse, integrating multiple business systems, and delivering high-quality dashboards and insights to senior stakeholders. You'll work closely with leadership across commercial, finance, and operations, acting as a key partner in driving data-led decision making across the business. Key Responsibilities • Build and scale a centralised data platform and reporting infrastructure, • Design and implement ETL pipelines and data architecture, • Develop dashboards and insights to support leadership and commercial teams, • Define data governance, quality, and best practices, • Proven experience building data functions from scratch in a fast-paced environment, • Strong technical expertise across data warehousing, ETL, and analytics, • Experience with tools such as Power BI, SQL, Python, and cloud platforms (Azure/AWS/GCP), • Strong stakeholder management skills, with the ability to influence at senior level