Trabajos platform engineer en Reino Unido

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 . Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. What you'll do • Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users, • Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data, • Optimise relevance, latency, and response quality for interactive UI components, • Evaluate and improve models using real-world feedback, analytics and experimentation, • Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications, • Contributes to system architecture, model selection, and deployment strategies, • Provides technical guidance and mentorship to junior members of the engineering team, • Participates in Scrum / agile process, • Participates in on-call support with the rest of the team What you'll bring, • Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production, • Working experience and in-depth understanding of: - Large Language Models (LLMs) • Vector databases and semantic search, • Retrieval-Augmented Generation (RAG) • Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset, • Familiar with cloud services (e.g. AWS Lambda best practices), • Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments Big Plus:, • PhD in related subjects, • Extensive machine learning research background, including a cademic publications in ML- related conferences or journals Team overview Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. The rewards • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical 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. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do • Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers, • Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows, • Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation, • Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks, • Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance, • Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues, • Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems, • Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring, • Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis, • Proficie ncy in programming languages such as Golang and Python, • Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing, • Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows, • Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms, • Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support, • Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation, • Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management, • Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques, • Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the 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. Want to do the best work of your life? With 24 million customers in 7 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. The Content System Engineering team is at the cutting-edge of the latest content management and content processing systems. We are extremely passionate about what we do and have an exciting opportunity to hire a 24/7 shift-based Content Systems Support Engineer who will be able to resolve incidents to ensure our systems are operating as efficiently as possible. What you'll do: • Provide 24/7/365 support for content processing systems, ensuring platform stability and timely incident resolution, • Lead initial investigations into technical issues, particularly within Media Asset Management (MAM) systems and interconnected broadcast workflows, liaising with system specialists when deeper expertise or escalation is required, • Monitor platform performance to predict and prevent issues, contributing to high service availability and customer satisfaction, • Collaborate with system owners, engineering teams, and operational staff to support a wide range of systems and projects, ensuring smooth handovers and effective problem-solving, • Document findings and resolutions to support continuous improvement and knowledge sharing across the team, • Operate effectively in a globally distributed team, supporting both local and international operationsWhat you'll bring, • Strong analytical and problem-solving skills, with a proactive approach to technical issue resolution, • Good understanding of Linux and Windows environments., • Experience in coding or scripting. (python / bash), • Understanding of content management and MAM systems., • Experience working with AWS infrastructure and services., • Strong stakeholder communicationHow you'll work: In this role you will work onsite, in a 24/7 shift environment, including nights, weekends, and holidays, 5/4 days on and off. Early shift : 7am - 7pm Mid shift : 10am - 10 pm Night shift : 7pm - 7am 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! Team overview" Content technology and innovation" Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content." 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'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.

Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process – and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you’ll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: -Build and lead relationships for highly sophisticated customer accounts -Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope -Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities -Verify operability of sophisticated product and service configurations within the customer’s environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Technical Skills · Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). · Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). · Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats · Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). · Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. · Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. · Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). · Analytics, BI, and data science · Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. · Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. · Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills · Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. · Can translate ambiguous business problems into clear data and analytics use cases. · Storytelling & communication · Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. · Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). · Demo & POC excellence · Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. · Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. · Competitive positioning · Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: · Cloud data warehouse or lakehouse migrations · Enterprise BI modernization/self-service analytics · GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications · Real-time or streaming analytics · Advanced analytics / data science enablement · Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. Job ID:R285938

Join Barclays as an Equities Risk Software Engineer, where you will build high-performance, resilient Java services supporting critical risk functions. Applying strong concurrency fundamentals, you will develop container-ready applications designed for reliability, observability, and stable behaviour under market stress. Experience with derivatives risk, reactive or event-driven systems, and latency-sensitive distributed architectures will support the delivery of scalable, production-grade solutions. To be successful, you should have: • Solid Java & concurrency fundamentals-comfortable with threads, executors, immutability, and avoiding shared‑state bugs., • Container‑aware development-can build and run Java services in containers, understands startup/shutdown, resource limits, and basic observability (logs/metrics) in a Kubernetes‑style environment., • Production mindset-thinks about failure cases, debuggability, and how their service behaves during restarts, spikes, or bad market data/input. Some other highly valued skills may include: • Working understanding of derivatives risk concepts, • Exposure to reactive programming or event‑driven systems, • Experience with large distributed systems, latency & throughput sensitive You may be assessed on key critical skills relevant to success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills. This role is based in London. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities • Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance., • Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives., • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing., • Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth., • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions., • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions., • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes, • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others., • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes., • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues., • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda., • Take ownership for managing risk and strengthening controls in relation to the work done., • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy., • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively., • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience., • Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Platform Engineer - Active SC, Terraform, Azure Up to £480 per day - Inside IR35 Remote 6 months My client is an instantly recognisable consultancy who urgently require a Platform Engineer with Active SC Clearance for an end client within the public sector. Key Requirements: • Proven commercial experience working as a Platform / DevOps Engineer within the public sector., • Active SC Clearance., • Strong, commercial experience with Terraform for IaC., • Proven track record configuring and managing Azure DevOps CI/CD pipelines., • Deep understanding of Azure cloud services and components., • Practical experience with Docker containerisation., • Knowledge of security scanning tooling (Trivy or similar)., • Scripting proficiency in Bash (Python is desirable).

Snowflake Data Engineer - Outside IR35 - Hybrid (3 days a week)About the Role We are seeking a skilled Snowflake Data Engineer to design, build, and optimize scalable data solutions within our modern cloud data platform. You will play a key role in developing high-performance data pipelines, implementing data models, and enabling advanced analytics using Snowflake. The ideal candidate has strong experience in cloud-based data warehousing, ETL/ELT development, and performance optimization, along with a passion for building reliable, scalable data systems. Key Responsibilities * Design, develop, and maintain scalable data pipelines using Snowflake * Build and optimize data models (star/snowflake schema) to support business intelligence and analytics * Develop ELT processes using SQL, stored procedures, and cloud-native tools * Integrate data from multiple sources (APIs, databases, streaming platforms) into Snowflake * Implement data governance, security, masking, and role-based access controls * Monitor performance and optimize queries, clustering, and warehouse configurations * Collaborate with analytics, BI, and data science teams to deliver high-quality datasets * Support CI/CD processes and infrastructure-as-code for data deployments * Ensure data quality, validation, and observability best practices Required Qualifications * 3+ years of experience in data engineering * Hands-on experience with Snowflake (data modeling, performance tuning, security) * Strong SQL skills and experience with complex query optimization * Experience building ETL/ELT pipelines * Proficiency with at least one cloud platform: * Amazon Web Services (AWS) * Microsoft Azure (Azure) * Google Cloud Platform (GCP) * Experience with orchestration tools (e.g., Apache Airflow) * Experience with version control (e.g., Git) * Solid understanding of data warehousing concepts and dimensional modeling To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

• Azure Platform Engineer, • Up to £690 p/d Inside IR35, • 1-2 days a week in London What You'll Be Doing • Designing, deploying, and operating Azure Kubernetes Service (AKS) environments that support mobile application workloads., • Integrating mobile applications with backend services using Azure API Management and related Azure integration components., • Building cloud-native solutions using Azure Functions, Event Grid, Service Bus, and other Azure services., • Implementing secure and scalable networking patterns using VNets, private endpoints, Application Gateway, WAF, and load balancers., • Managing identity and access across platforms with Azure AD, Managed Identities, OAuth2, and OpenID Connect., • Creating and maintaining containerized microservices using Docker, Helm, Kustomize, or similar tools., • Implementing and optimising observability stacks with Prometheus, Grafana, OpenTelemetry, and Azure Monitor., • Strong experience working in Azure Cloud, particularly with AKS and cloud-native patterns., • Proven background in containerization and managing production-grade Kubernetes clusters., • Hands-on experience with deployment templating tools such as Helm or Kustomize., • Solid understanding of Azure networking and security best practices., • Familiarity with service mesh technologies (e.g., Istio, Linkerd, Open Service Mesh)., • Strong grasp of authentication and authorization standards (OAuth2, OIDC)., • Experience implementing robust monitoring, logging, and tracing across distributed systems. 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

FABRIC DATA ENGINEER 8-MONTHS £575-£625 PER DAY (INSIDE IR35) This is a fantastic opportunity for a Data Engineer with Azure Fabric experience to contribute to a high-velocity organisation delivering cutting-edge data transformation projects. You'll take on a central role in building scalable, cloud-native pipelines and supporting reliable data flows across the business. This environment fosters autonomy, technical input, and exposure to modern data engineering approaches across a hybrid cloud ecosystem. THE COMPANY This global company operates in a dynamic, insights-driven industry, where data plays a critical role in shaping operations, customer intelligence, and strategic direction. The business is investing in a major infrastructure upgrade, shifting to Azure Fabric as part of its mission to modernise data delivery, enhance speed-to-insight, and unlock advanced analytics capabilities across international teams. THE ROLE As part of a forward-thinking engineering team, you'll contribute to the development of a robust data platform that supports both near-term reporting needs and longer-term transformation goals. You'll work on cloud migration efforts, streamline data access, and support cross-functional users with reliable, well-engineered solutions. You'll be responsible for: * Designing and deploying efficient, resilient data pipelines within Azure Fabric * Enabling the migration of data from legacy systems and cloud services into the new Azure-based architecture * Working with technical and non-technical stakeholders to ensure data accuracy, completeness, and availability * Embedding automation and observability into workflows to enhance system stability and performance * Supporting both business-as-usual and greenfield data initiatives as part of an agile, collaborative team KEY SKILLS & REQUIREMENTS * Strong experience with Python and SQL for data processing and transformation * Solid understanding of Azure data services, with practical experience in Azure Fabric * Knowledge of data streaming tools and real-time processing patterns * Familiarity with DevOps best practices, version control, and continuous integration pipelines * Excellent communication skills and the ability to operate effectively in a cross-functional environment HOW TO APPLY If you're interested in joining a forward-thinking organisation at a pivotal point in its cloud journey, please apply via the link on this page with your up-to-date CV.

We are looking for a Security Platform Engineering Manager to define, build and operate a portfolio of reusable security capabilities that can be consumed by engineering squads as part of our product delivery. This role will combine technical leadership with hands on engineering, ensuring that security controls are delivered as code, embedded into infrastructure and CI/CD pipelines, and aligned to our AWS first, Terraform led platform model. We are looking to expand and mature further our Platform Engineering capabilities by introducing a Security Platform Engineering team, with a goal to make secure by default the best and easiest path for squads building customer facing services. This team will engineer and operate reusable security capabilities as internal products, embedding security controls directly into infrastructure, CI/CD pipelines and service templates. Working closely with Cloud Platform Engineering, Security Operations and other engineering squads, the function will focus on reducing risk through automation, consistency and developer experience. The successful candidate will be responsible for shaping the roadmap, forming the team to deliver it, driving adoption across build and run squads, and ensuring that security becomes a scalable, automated and measurable capability rather than a manual or reactive process. ROLE AND RESPONSIBILITIES • Work with the Head of Cloud and security stakeholders to define the strategic direction and technical vision of security platform engineering at CMC, • Build and lead a small team responsible for delivering security capabilities as reusable platform “products”, • Own the roadmap and technical delivery of these capabilities across cloud infrastructure, CI/CD, IAM, application integration patterns and more, • Engage and collaborate with internal customers and understand up and coming use cases for the security platform, • Deliver hands on contributions to the platform; set technical standards and approach, • Operate and support the security platform services with clear reliability expectations and continuous improvement, • Drive measurable adoption of security platform services across engineering teams and report on coverage, risk reduction and maturity, • Stay up-to-date on industry trends and emerging technologies and incorporate them into the platform roadmap as necessary Required: Demonstrable experience in the following: • Securing cloud native workloads, ideally within AWS and serverless architectures, • Managing services required to deliver secure applications such as firewalls, package management and secrets management, • Deep understanding of IAM, least privilege access design and secure service to service communication patterns, • Integrating security controls into CI/CD pipelines, preferably using GitHub Actions, • Enforcing security standards on Infrastructure as Code (e.g. via Policy as Code), • Ability to translate regulatory or security policy requirements into practical, automated engineering controls, • Leading team technical delivery in a cross functional environment with multiple stakeholder groups, • Experience writing Terraform to configure and manage security tooling and services, • Experience with GitHub Advanced Security features such as code scanning, dependency review and secret scanning, • Experience in developing hardened golden image pipelines for containers and virtual machines, • Experience integrating Wiz or similar CNAPP tools into developer workflows, • Experience delivering identity or access management capabilities as shared internal services, • Experience operating in a Platform Engineering model supporting build and run squads in a regulated environment CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.

AI Engineer (RegTech) Location: London, UK (Hybrid) Salary: £70,000+ DOE The Role We are seeking an AI Engineer with strong experience in agentic AI workflow automation, and machine learning, ideally within RegTech or highly regulated environments. You will design, build, and deploy intelligent systems that orchestrate AI agents, automate complex workflows, and extract value from structured and unstructured data at scale. This role sits at the intersection of AI engineering, software development, and applied machine learning, working closely with product, platform, and data teams. Key Responsibilities • Design, build, and deploy agentic AI systems and intelligent workflows for regulated use cases, • Develop automation-first AI pipelines for regulatory processes (e.g. monitoring, reporting, compliance checks), • Implement multi-agent systems using modern orchestration frameworks (e.g. LangGraph or similar), • Build and productionise machine learning models for classification, extraction, prediction, or anomaly detection, • Integrate LLMs, generative AI, and traditional ML into scalable, secure applications, • Process real-time, unstructured, and semi-structured data (text, documents, speech, images), • Collaborate with software engineers to embed AI capabilities into cloud-native, SaaS platforms, • Ensure solutions meet data privacy and security standards (GDPR, CCPA), • Bachelor's degree or higher in a relevant STEM discipline., • Strong Python development skills for AI/ML and backend services, • Hands-on experience with agentic AI architectures and autonomous workflows, • Practical experience with AI orchestration frameworks (e.g. LangGraph, LangChain, custom agent frameworks), • Experience building and deploying machine learning models in production, • Understanding of the AI lifecycle: prompt engineering, workflow orchestration, deployment, evaluation, monitoring, • Experience working with RegTech or regulated environments., • Solid knowledge of API development, data pipelines, and system integration, • Experience with NLP, OCR, speech-to-text, or document intelligence, • Exposure to computer vision or multimodal AI systems, • Knowledge of real-time data processing and streaming architectures, • Experience with multi-agent systems or intelligent agents in production, • Opportunity to work on cutting-edge AI systems shaping the future of regulated industries, • A hybrid working model with a London-based team, • High-impact role with ownership over core AI workflows and architecture, • Collaborative, engineering-led culture focused on innovation and real-world outcomes To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Principal Platform Engineer | High-Growth Cybersecurity Scale-Up | Fully Remote (UK based) An opportunity to join a fast-growing, research-led cybersecurity scale-up trusted by global enterprise customers. Backed by strong funding and industry recognition, the business is scaling its platform globally and is looking for an experienced Principal Platform Engineer to help lead that growth. As a Principal Platform Engineer, you’ll be a senior technical leader responsible for designing, scaling and optimising large-scale infrastructure. You’ll work closely with engineering leadership to ensure systems are resilient, observable and built for global scale. What you’ll be doing • Designing and evolving distributed, multi-region infrastructure, • Solving complex scaling, reliability and performance challenges, • Driving DevOps performance across deployment, availability and recovery, • Improving observability, fault tolerance and operational maturity, • Championing infrastructure-as-code, automation and secure-by-design practices, • Collaborating across engineering, product and security teams What they’re looking for • Significant experience building and operating distributed systems at scale, • Strong cloud background (AWS/Azure), Terraform and Kubernetes, • Experience with observability tooling (Prometheus, Grafana, EFK) and messaging systems (Kafka), • Solid understanding of networking fundamentals and global architecture, • Comfortable operating at Principal level and influencing technical direction

We're working with a leading software house within its niche, currently looking to hire a DevOps Engineer to help develop and enhance their infrastructure while playing a key role in shaping the future of their platform. This is a fantastic opportunity for someone who enjoys autonomy, problem-solving, and influencing technical direction - particularly around tools, processes, and infrastructure strategy. The Role As DevOps Engineer, you'll work closely with cross-functional teams to ensure the platform remains scalable, secure, and high-performing. The position offers a 50/50 split between on-site collaboration and remote working. Key Responsibilities * Contribute to and evolve the AWS infrastructure strategy * Manage containerisation and orchestration (EKS/Kubernetes) * Build, maintain, and optimise CI/CD pipelines * Implement effective monitoring, logging, and alerting solutions * Own disaster recovery and backup processes * Support ISO 27001 and broader security compliance initiatives * Collaborate across teams to enable secure, scalable growth What We're Looking For * Strong experience within a DevOps or Cloud Engineering role * Solid AWS knowledge * Experience with Kubernetes/EKS * Proven CI/CD pipeline development * A proactive mindset with a passion for improving systems and processes If you're looking for a role where you can genuinely influence infrastructure direction and work in a collaborative, forward-thinking environment, we'd love to hear from you. Apply with your most up-to-date CV to arrange a confidential discussion. Oscar Associates (UK) Limited is acting as an Employment Agency 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.

AWS Engineer We are currently working with a leading software company, who are looking for an AWS Engineer to join their ever-expanding platform / DevOps team remotely from the UK. They are looking for you to have excellent cloud knowledge, ideally AWS as well as Terraform and Kafka experience. As well as this you will also be expected to have knowledge of GitLab as well as having Python experience is a must. As the AWS Engineer, you will be a self-starter who has excellent stakeholder management experience who can show outcome based work. You will also be responsible for end to end solutions working closely as part of a squad including Developers and Testers. Please note this is a fully remote position but they have an office based in Southwark should you wish to go in. Skills required for the AWS Engineer:* Knowledge of AWS* Working experience of Kafka* Python experience*Excellent communicator This is a really exciting opportunity to rapidly grow your skill set and work closely with some of the most talented Developers and Analyst's within this space. If you are keen to hear more please apply ASAP or reach out to myself directly for more information. Location: Remote - United Kingdom Salary: £75,000 - £90,000 Apply now for immediate consideration regarding this excellent opportunity!Understanding Recruitment is acting as an employment agency for this vacancy

AWS Data Platform Engineer | SC Cleared | Permanent We’re supporting a well-established UK consultancy that specialises in delivering secure, large-scale cloud and data platforms within highly regulated environments. They’re looking to hire an AWS Data Platform Engineer to help design, build, and run robust AWS-native data infrastructure. This is a permanent role for someone who enjoys working close to complex data ecosystems, automation, and cloud security — and who thrives in collaborative, delivery-focused teams. What we’re looking for: • Strong hands-on experience with all AWS data services (S3, Glue, Athena, Lambda etc), • Solid Infrastructure as Code experience (Terraform), • Experience with orchestration and CI/CD tooling, • Good scripting skills (Python / SQL / Bash), • Strong understanding of AWS security, IAM, and networking, • Comfortable operating in Agile, delivery-led environments, • Apache Airflow for DAG, • Date-Led Platform/Cloud Engineering Key requirements: • Active SC Clearance (essential), • Permanent role, • Ideally you will be based around Manchester or London and work hybrid model, but remote is possible for candidates willing to travel to offices or client sites as required., • Available immediately (ideal) or up to 2–3 weeks’ notice max Salary guidance: • Mid level: £45k–£60k This is a great opportunity for an engineer who wants stability, technical depth, and the chance to work on meaningful, secure data platforms without constant project churn. If you’re curious and meet the clearance requirement, feel free to apply!

Senior DevOps Engineer (SC Cleared) Location: Central London (Hybrid – 1 day per week in office) Salary: Up to £100,000 + Benefits Clearance:Active SC clearance required We’re looking for a Senior DevOps Engineer with active SC clearance to join a high-impact engineering team working on secure, mission-critical systems. You’ll be operating in a modern, cloud-native environment with a strong focus on AWS, Kubernetes, automation, and engineering excellence. This is a hands-on role where you’ll shape the platform, not just maintain it. What you’ll be doing • Designing, building, and operating secure AWS-based platforms, • Building and running Kubernetes clusters and containerised workloads, • Driving an automation-first approach across infrastructure, CI/CD, and operations, • Developing tooling and platform services using Python and/or Java, • Owning and improving CI/CD pipelines and release processes, • Implementing Infrastructure as Code (Terraform / CloudFormation or similar), • Improving reliability, observability, and resilience across critical systems, • Working closely with software engineers, security, and platform teams, • Contributing to architecture decisions and setting engineering best practices, • Mentoring engineers and raising the bar for DevOps and platform engineeringWhat we’re looking for, • Active SC clearance (essential), • Strong experience as a Senior DevOps / Platform / SRE Engineer, • Hands-on AWS experience in production environments, • Strong Kubernetes experience (deploying, operating, scaling clusters), • Solid programming experience with Python and/or Java, • Strong focus on automation across infrastructure, delivery, and operations, • Experience with Infrastructure as Code (Terraform, CloudFormation, Bicep, etc.), • CI/CD experience (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, etc.), • Good Linux knowledge and scripting skills, • Experience working in secure, regulated, or high-assurance environments, • A pragmatic, engineering-led mindset with strong ownershipNice to have, • Experience in defence, government, or highly regulated sectors, • SRE or platform engineering background, • Knowledge of secure networking, zero-trust, or compliance-driven architectures, • Experience operating systems at scaleWhy join?, • Work on high-impact, genuinely meaningful systems, • Hybrid working – only 1 day per week in the London office, • Salary up to £100,000 depending on experience, • Strong engineering culture with real technical ownership Follow ReVybe IT Recruitment on LinkedIn to stay updated with all the latest openings. SC Cleared, AWS, Kubernetes, Python, Java, Automation, Terraform, SQL, DevOps Senior DevOps Engineer (SC Cleared)

AI Platform Engineer Location: London (Hybrid 2 Days in Office) Salary: £90,000 This is a rare opportunity to shape the foundations of an AI function at a pivotal moment in a company's transformation. You will play a lead role in building production-ready AI systems that automate complex insurance journeys, with the freedom to influence architecture, engineering patterns and long-term strategy. The Company They are a fast-growing, tech-led insurance provider specialising in complex and non-standard risk. Their products are powered by a blend of smart technology and human expertise, enabling faster decisions, tailored coverage and scalable customer support. With investment backing and a newly formed AI leadership team, they are now embarking on the next stage of their journey to become an AI-driven insurer. This role represents one of the first senior hires into their AI team. The Role You will be responsible for: • Build and operate production-grade AI agents on GCP using Google's ADK., • Integrate AI systems with policy, claims and CRM platforms through secure REST and JSON API services., • Develop scalable RAG pipelines including ingestion, text processing, metadata handling and vector search., • Implement observability and evaluation frameworks covering monitoring, A/B testing, accuracy and safety metrics, and cost and latency dashboards., • Contribute to architecture, engineering standards and AI product direction in partnership with the Head of AI., • Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with a focus on AI systems., • Deep knowledge of GCP services, including Vertex AI, BigQuery, Cloud Run or Cloud Functions, Model Garden and ADK., • Strong Python skills for backend development, APIs and data processing., • Hands-on experience with LLMs, embeddings, RAG design, vector databases and retrieval pipelines., • Experience deploying production AI with robust evaluation, monitoring, observability and automated testing. If this sounds like the right next step for you, please apply with your CV to begin the process.

Senior Java Engineer – Microservices Migration (iGaming)Are you a Senior Java Engineer who has led or been deeply involved in moving monolithic platforms to modern microservices architecture? If you enjoy complex systems, large scale integrations and building reliable back ends, this could be a great next step.Package: £80,000 to £90,000, 30 days holiday, private healthcare, pension. London based with hybrid working, 3 days from home.About the RoleYou will play a key role in migrating an existing monolithic Java platform to a modern microservices architecture. This platform powers the company’s game engine and integrates their products with multiple operators, so reliability, performance and scalability are critical.You’ll work closely with architecture and engineering teams to design new services, refactor existing components, and ensure smooth integration with MySQL and downstream systems. You’ll also contribute to technical decision making around service design, data modelling and system performance.This is not just a maintenance role. You’ll be actively shaping how the back end evolves, breaking down legacy components and helping build a cleaner, more modular system for the future.About the Company You’ll join a well established iGaming technology business that builds high performance systems used by operators across multiple markets. The engineering culture is collaborative, pragmatic and delivery focused, with plenty of opportunity to influence architecture and technical direction.Essential experience • Strong commercial Java experience, • Hands on experience migrating from monolith to microservices, • Solid MySQL experience and strong data modelling skills, • Deep understanding of service architecture, APIs and distributed systems, • Experience working on scalable, high availability back ends, • Comfortable working in Agile/Scrum environments, • Excellent written and spoken English Ideally you’ll come from sportsbook, iGaming or gambling. However, engineers from other regulated, high transaction environments such as fintech, payments or retail tech will also be considered if you have strong microservices migration experience.Nice to have, • Spring or Spring Boot, • Docker, Kubernetes or containerised environments, • CI/CD pipelines, • Performance optimisation experience If this sounds like a good fit, apply now and we’ll be in touch.Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.

Platform Engineer £550 - £650 per day Outside IR35 6 - months Remote Company A well-established investment and asset management organisation is looking for a Platform Engineer to undertake a large-scale data transformation, building out a new cloud-native data platform to support decision-making across the business. The firm is part-way through the development of a greenfield cloud data warehouse on Azure and Snowflake. The project has strong executive sponsorship and is being delivered in partnership with a specialist data architect. As the work progresses into its next phase, the business is hiring a Platform Engineer to join the build effort, with a particular focus on infrastructure, automation and pipeline orchestration. This Platform Engineer will sit within the central finance and planning function and work closely with senior stakeholders, including programme sponsors and business leads. Key responsibilities - Platform Engineer * Support the build and enhancement of a cloud-based data platform using Snowflake on Azure, working within an established technical framework. * Develop infrastructure components and manage deployment through infrastructure-as-code practices. * Collaborate with internal stakeholders to ensure the data platform design supports evolving business needs in a scalable and maintainable way. * Implement and maintain data pipelines, validation logic, and quality assurance processes. * Contribute to platform documentation and technical standards. * There is potential for future responsibility in mentoring or overseeing junior team members. Required experience * Hands-on experience working with Snowflake, including schema development and data pipeline integration. * Familiarity with Azure services, including resource provisioning and identity setup. * Experience using Terraform for infrastructure deployment (ideally with cloud data services). * Strong working knowledge of Python, SQL, Git, and general data engineering best practices. Additional desirable skills * Familiarity with CI/CD tooling, particularly Azure DevOps (or equivalents). * Exposure to workflow automation platforms. * Prior experience on early-stage or greenfield data platform projects. * Team leadership or mentoring exposure. This is an opportunity to work on a strategically important programme with significant scope for technical input and ownership. The role offers exposure to cloud architecture, data engineering, and automation within a small but growing team. If you're interested, please send your CV

ANALYTICS ENGINEER 6-MONTH CONTRACT SNOWFLAKE, DBT £450-£550 PER DAY OUTSIDE IR35 This role offers a great opportunity for an Analytics Engineer to join a fast-scaling digital business undergoing a complete rebuild of its analytics infrastructure. You'll play a key role in reshaping how data is modeled, accessed, and used across teams - all with a focus on clarity, consistency, and self-serve analytics. The environment values autonomy, quality, and user-first thinking, with the freedom to shape best practices from the ground up. THE COMPANY This is a high-growth consumer business committed to data-informed decision-making across marketing, operations, product, finance, and customer success. They're currently rebuilding their analytics platform with modern, scalable tools and need a strong contractor to accelerate this transition. Working in a fast-paced, collaborative, and remote-first environment, you'll make a lasting impact on how data empowers the organisation. THE ROLE You'll join the data team to lead the design and delivery of a new semantic layer in Looker. You'll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. You'll also play a critical role in shaping the self-serve analytics experience and ensuring the platform is intuitive, documented, and cost-efficient. Your responsibilities will include: * Rebuilding LookML models to reflect real-world business processes and logic. * Designing and implementing dbt models that power clean, consistent metrics. * Collaborating with business teams to understand reporting needs and deliver intuitive analytics experiences. * Creating clear documentation for dashboards, metrics, and models. * Ensuring optimal performance and cost efficiency across Looker and Snowflake * Supporting a stakeholder-first approach to data usability and access. KEY SKILLS AND REQUIREMENTS • Extensive experience operating within Snowflake environments Advanced experience with Looker and LookML, including semantic layer modeling and dashboard design. * Proficiency in SQL and dbt, with a strong understanding of data modeling best practices. * Strong communication skills with the ability to translate complex needs into elegant data solutions. * Focus on usability, documentation, and data clarity. * Comfortable working independently in a dynamic, fast-changing environment. DESIRABLE SKILLS * Experience rebuilding or refactoring a Looker instance from scratch. * Familiarity with Snowflake performance tuning and cost optimization. * Experience scaling analytics across a cross-functional organisation HOW TO APPLY Please register your interest by sending your CV via the apply link on this page.

Technical Product Owner / UI Product Engineer South West London (3 days onsite) £55,000 – £70,000 An established London-based SaaS business is looking for a hands-on Technical Product Owner with a strong frontend background to help shape and refine a mature, revenue-generating platform. The company has been operating for over 20 years and has a stable, collaborative engineering team. They are now focused on improving usability, refining workflows and bringing more structure to how product ideas are captured and delivered. This role would suit someone who began their career as a Frontend Developer or Product Engineer and has since moved into product ownership, but still enjoys working close to the detail. What you’ll be doing • Listening to ideas from stakeholders and customers and shaping them into clear, structured requirements, • Writing detailed product specifications ready for engineering, • Prototyping features and workflows in Figma, • Using modern AI tools to accelerate ideation and early-stage validation, • Working closely with developers to ensure solutions are practical and well-defined, • Improving UI consistency and overall product clarity, • Background in Frontend Development or Product Engineering, • Experience in a Product Owner or Technical Product role, • Strong UI and UX awareness, • Confident writing clear specifications and user stories, • Experience working within a SaaS environment

Senior DevOps Engineer – AI & Cloud Infrastructure Type: Permanent / Full-Time (Employment or Contract considered) Location: Remote or Hybrid Time Zones: UK, Europe, North America–friendly The Opportunity We’re working with a high-growth tech-start up company building a next-generation AI cloud platform, focused on fast, reliable inference for large language models and other compute-intensive workloads. The platform combines modern cloud infrastructure, Kubernetes, GPU clusters, and developer-first tooling to support mission-critical AI systems operating across multiple regions. They’re now looking for a Senior DevOps Engineer to take ownership of the infrastructure backbone — someone who enjoys operating complex systems at scale and working closely with infrastructure, ML, and product engineering teams. What You’ll Be DoingAI Cloud Infrastructure • Design, build, and operate highly available, secure infrastructure supporting AI inference, fine-tuning, and data processing workloads, • Manage multi-region Kubernetes clusters, including GPU-heavy environments, • Implement autoscaling strategies across heterogeneous compute fleetsInfrastructure as Code & Automation, • Own and evolve infrastructure-as-code using tools such as Terraform, Helm, and similar, • Automate provisioning of compute, networking, and storage, • Build tooling to spin environments up and down for experiments, benchmarks, and customer deploymentsCI/CD & Release Engineering, • Design and maintain CI/CD pipelines across backend, infrastructure, and ML components, • Implement safe deployment strategies (e.g. blue/green, canary releases), • Partner with engineers to improve build speed, test reliability, and deployment confidenceObservability, Reliability & SRE, • Build and operate observability stacks (metrics, logging, tracing), • Define and monitor SLOs / SLAs for latency, availability, and reliability, • Create runbooks, playbooks, and incident response processes for production systemsSecurity & Best Practices, • Implement best practices around secrets management, access control, and network security, • Support secure, multi-tenant environments for enterprise customers, • Help foster a culture of operational excellence, ownership, and reliability What They’re Looking ForEssential • 4–8+ years’ experience in DevOps, SRE, Platform, or Infrastructure Engineering, • Strong experience running production systems on major cloud platforms (AWS, GCP, or Azure), • Deep hands-on experience with Kubernetes in production, • Strong Infrastructure-as-Code skills (Terraform or equivalent), • Proficiency in at least one scripting or programming language (e.g. Python, Go, Bash), • Solid understanding of networking, security fundamentals, and distributed systems, • Proven experience building reliable, observable, automated systemsNice to Have, • Experience supporting GPU-based workloads or ML infrastructure, • Exposure to AI / ML platforms, inference systems, or data pipelines, • Familiarity with modern CI/CD tooling and GitOps approaches, • Experience with observability tooling (metrics, logs, tracing), • Background in cloud platforms, AI infrastructure, or high-scale SaaS environments Why Join • Work on core infrastructure powering cutting-edge AI systems, • High impact and ownership over architecture and tooling decisions, • Collaboration with senior engineers across infrastructure, ML, and product, • Competitive compensation, equity, and long-term growth potential, • Flexible remote / hybrid working

About The Role FDM is a global business and technology consultancy seeking a DevOps Engineer to work for our global Systems Integrator client. This is initially a 6-month contract with very good prospects to extend. Our client is seeking a Tech SRE/DevOps Engineer to join their Innovation and Digital team, driving the reliability, scalability, and performance of their expanding digital product portfolio. This is a hands-on technical role where you’ll enhance infrastructure-as-code practices, automate CI/CD pipelines, and ensure systems run at peak efficiency. You’ll operate at the intersection of development and operations, applying deep technical expertise and creative problem-solving to elevate operational excellence. If you’re passionate about DevOps culture, Azure cloud technologies, and building resilient, high-performing systems, this opportunity allows you to make a meaningful technical impact on their digital transformation journey. Responsibilities: Technical Innovation & Architecture • Design and implement scalable, highly available systems in collaboration with infrastructure and development teams, • Innovate and evolve our Infrastructure as Code (IaC) practices using Azure Pipelines, with Bicep, and Terraform, • Drive continuous improvement of CI/CD processes and deployment automation, • Develop creative automation tools and processes to minimise manual operations, • Conduct thorough root cause analysis and implement innovative preventive solutions, • Design and maintain disaster recovery plans and procedures, • Partner closely with development teams, IT Security, Business Product Owners, and Architecture teams, • Share technical expertise and best practices with engineering teams, • Contribute to technical discussions and solution design, • Contribute to deployment and operational standards aligned with ISO27001 and ITIL, • Contribute and Participate in CI/CD and IaC code reviews and processes to ensure quality and knowledge sharing, • Participate in Change Advisory Board meetings, • Deploy and manage microservices on Azure App Services and Kubernetes with focus on security, • Maintain comprehensive technical documentation standardsAbout You, • Experience in systems administration, software development, or network engineering, • Strong experience with Microsoft Azure cloud platform, • Strong knowledge of containerization and orchestration (Kubernetes)., • Hands-on expertise with DevOps tools: Git, Docker, Jenkins, Terraform, Bicep, • Proficiency in CI/CD pipelines (Azure Pipelines or similar), • Experience with Infrastructure as Code practices and implementation, • Strong understanding of networking, security, and system administration. Technical Skills • Azure monitoring and Application Insights, • ARM/Bicep templates and JSON scripting, • PowerShell scripting, • Software development methodologies and practices, • Security best practices and risk management Technical Skills & Innovation • Ability to monitor system performance, availability, and reliability using observability tools, • Proven ability to work in Agile/DevOps environments, • Experience with Agile ceremonies (daily scrums, retrospectives, sprint planning), • Strong problem-solving abilities and comfort with ambiguity, • Excellent communication and technical documentation skills, • Ability to build cross-functional relationships, • Passion for continuous improvement and technical innovation

DevOps / Platform Support Engineer - Kubernetes, Azure - Battersea, London (Hybrid) (Tech stack: DevOps, Platform Support, Kubernetes, Azure, Grafana, GitLab CI/CD, Azure SQL) Our client is a well-established legal technology company delivering cloud-based software to customers across the UK, Ireland, and Australia. They are looking for a hands-on DevOps / Platform Support Engineer to help keep their Kubernetes platforms stable, secure, and running smoothly. This role is focused on monitoring, incident response, and day-to-day platform support, working closely with an international DevOps team to support live and staging environments. What you'll be doing: • Monitoring production platforms using Grafana and Lens., • Responding to alerts and resolving live incidents., • Supporting Kubernetes operations, including failed startups, resource issues, and upgrades., • Troubleshooting GitLab CI/CD pipelines and deployment issues., • Supporting live and staging environments, including certificates, databases, and releases., • Assisting with migrations and maintaining Azure-hosted SQL., • Strong experience supporting Kubernetes in production., • Hands-on experience with Grafana and alerting tools., • Good knowledge of CI/CD, ideally GitLab., • Experience with Azure infrastructure and Azure SQL., • Confident troubleshooting live systems in a support-focused DevOps role. Salary: £45,000 - £55,000 + Benefits Contract: Permanent, Full-time Benefits include: 8% pension contributionPrivate healthcare25 days holiday + bank holidaysPerkBoxFree lunch and snacksApplicants must be based in the UK and have the right to work in the UK. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKTECHRECNOIRUKREC

Network IT is currently recruiting for a DV Cleared AWS DevOps / Platform Engineer to join our client on a 6 month initial contract. Our client is working to deploy a technical team to build upon an existing prototype platform for a government customer. You'll likely be coming from an AWS cloud DevOps / Platform Engineering background, with a skillset routed in AWS, along with knowledge of Docker / Kubernetes and software engineering with Python or Java. During this project you'll be working heavily with 3rd party software, looking at security along with integrations. This is a DV cleared environment. Please consider this when applying. Role: AWS DevOps / Platform EngineerDuration: 6 MonthsRate: £600-640 per dayStatus: Inside IR35Location: London 1-2 days per week / Hybrid WorkingKey Skills Expected:- Background in AWS Cloud engineering, inlcuding skills across EC2 / S3 / Lambda / EKS and CDK- Awareness of networking and security principles when applied to AWS cloud infrastructure - Docker / Kubernetes- Python / Java - SQL Databases - Integration of 3rd party software - Must be a British Citizen, with DV clearance or a record of DV clearance

Azure Automation EngineerCentral London | Hybrid£60,000 - £80,000 per annumIs this the Azure Automation Engineer role for you?Crone Corkill are assisting a long-standing, boutique client as they look to add an Azure Automation Engineer to the team on a permanent basis. Working as part of a close-knit IT team, you’ll be key in designing, building and managing automation solutions using Azure Automation, Power Platform and Azure AI Services.This is a unique opportunity centred on scripting, automation, builds, cloud, applications and infrastructure – Designing and building in a way that you see fit.What will you do as an Azure Automation Engineer? • Eliminate repetitive tasks, streamline processes and integrate intelligence into systems, • Lead the development and maintenance of Azure Automation Runbooks for operational tasks and service orchestration, • Build Power Platform solutions to automate processes and integrate systems, • Build solutions with Power Automate & Power Apps, connecting data sources and APIs, • Incorporate Azure AI into apps/flows, • Assist in the management of Azure, including VMs, Networks, Storage, Entra ID, etc, • Establish monitoring, logging and alerting via Azure Monitor and Log Analytics, • Assist in supporting the on-prem Windows infrastructure, using the likes of Active Directory, Hyper-V, etc, • Apply secure by design practices to maintain compliance, • Support M365 (Exchange Online, Teams, SharePoint, etc) and security policies such as MFA and Conditional AccessWhat skills do you need to be an Azure Automation Engineer?, • Strong PowerShell or Python expertise, • Power Platform solutions – Power Automate, Power Apps, Dataverse etc, • Experience with Azure AI, including Azure OpenAI and Cognitive Services, • Azure Monitor and Log Analytics, • IaC using the likes of ARM Templates, Azure Policy, etc, • Azure Web Apps and Azure Functions, • M365, Entra ID, Intune and Defender for Endpoint experience

Project Leadership. Technical Excellence. Modernisation Expertise. Are you an experienced Project Manager with lift modernisation expertise looking to take ownership of high-value engineering projects within a Private Equity-backed business? Liftec Express – a leading independent provider of lift and escalator maintenance, repair and modernisation services across the UK – is entering an exciting phase of growth and value creation. We are now seeking a skilled and commercially aware Project Manager to lead lift modernisation projects from contract award through to completion, ensuring safety, quality, profitability and customer satisfaction at every stage. This is a high-impact role within a fast-paced SME environment where your technical knowledge and project leadership will directly influence operational performance and client relationships. The Role at a Glance: Project Manager – Lift Modernisation Hybrid – Office and Site Based - ideally 2 hour radius of Dartford £60,000 - £70,000 + Incentive scheme & Car Allowance Plus Extensive Benefits Package Core hours: Onsite 08:00-17:00, with one hour for lunch Note: We will buy you out of any training funded by your current employer. Your Background: Project Management within lift modernisation or major repairs Skills: Technical lift knowledge, stakeholder management, commercial control, CDM awareness Who we are: Liftec Express is a well-established, highly respected name in the UK lift and escalator services sector. Previously part of OTIS, the world's leading manufacturer and service provider of elevators, escalators, and moving walkways - the business is now owned by R-Capital and, with greater agility as a standalone company, is gearing for accelerated growth. This is an exciting opportunity to play a key role in delivering complex modernisation projects during a significant value-creation phase. Ready for your next adventure? Reporting into the senior operations leadership team, you will take full responsibility for the delivery of lift modernisation projects, ensuring they are completed safely, on time, within budget and to the highest quality standards. You will manage projects from initial handover through planning, procurement, installation and final completion. This includes conducting site surveys, reviewing technical specifications, coordinating engineers and subcontractors, and ensuring compliance with relevant regulations including CDM requirements. You will monitor project progress against programme and budget, manage variations, control costs and protect margin. Maintaining accurate documentation, reporting on project performance and proactively managing risks will be central to your role. Client engagement is key. You will attend site meetings, manage stakeholder expectations, handle escalations professionally and ensure a positive customer experience throughout the project lifecycle. Safety leadership will form a core part of your responsibilities, ensuring adherence to Liftec Express safety policies, conducting site audits and promoting best practice across all project activities. The role holder shall carry out his/her duties in accordance with the stipulated business policies and procedures. About You: • An experienced Project Manager within the lift industry, with strong exposure to lift modernisation projects, you bring a solid technical understanding of lift systems and installation processes., • You are commercially aware, confident managing budgets, forecasting costs and protecting project margin. Experience working within complex, live environments such as commercial buildings, healthcare or public-sector sites would be advantageous., • Strong organisational and planning skills enable you to manage multiple projects simultaneously while maintaining attention to detail. You are confident coordinating engineers, subcontractors and suppliers, ensuring work is delivered safely and to specification., • Client-facing and solutions-focused, you communicate clearly with stakeholders at all levels and handle challenges with professionalism. Familiarity with CDM Regulations and health & safety compliance within construction or engineering environments is essential. Benefits: • Access to Discounts Platform, • Pension (Day 1) - Aviva, • Holiday – 25 days per year plus bank holidays – holiday year - January to December, • Wellness (Day 1) - Employee Assistance Programme, • Death in Service (Day 1) 3 x Salary - Canada Life, • Sickness Scheme - Discretionary, • Family Policies - Industry-leading enhanced maternity and paternity provision subject to service, • Incentive Scheme - Discretionary, • Car Allowance, • Overtime paid Monday to Saturday at 1.5 times the normal rate and on Sunday/Bank Holidays at 2 times – pre-approved only., • Night call: One week in four; standby £50 per weekday night, £125 per weekend night., • Engineer Incentive Scheme - Discretionary, • Radius Pay – detailed in Variable Pay Policy Why Join Liftec Express? • Key role within a respected PE-backed engineering business, • Direct responsibility for high-value lift modernisation projects, • Strong pipeline of technical, complex work, • Collaborative, safety-focused culture If you are an experienced Lift Modernisation Project Manager seeking a high-impact opportunity within a respected engineering services business, we would love to hear from you. Apply now to explore this opportunity in confidence. Application notice... We take your privacy seriously. When you apply, we shall process your details and pass your application to our client for review for this vacancy only. As you might expect you may be contacted by email, text or telephone. Your data is processed on the basis of our legitimate interests in fulfilling the recruitment process. Please refer to our Data Privacy Policy & Notice on our website for further details. If you have any pre-application questions please contact us first quoting the job title & ref. Good luck, Team RR.

Full Stack Engineer - Azure, C#, .Net, React / ReactJS • £75,000-£85,000 p/a + benefits We are looking for an experienced Full Stack Engineer who is comfortable working on complex software platforms and is able to get up to speed quickly in new environments. Required Skills / Experience Extensive commercial experience with: • Azure - Azure Functions, Azure API Management, Azure Services, Azure B2C Directory, Azure Pipelines etc, • React / ReactJS, • C#, • MS Visual Studio, • CI/CD, • Microservices Architecture, • NoSQL or Cosmos DB, • Git Important Notice: Please note that due to the high volume of applications we receive, we are unfortunately unable to respond to all applicants. If you have not heard from us within 2 weeks of your application, please assume that you've not been successful on this occasion. Both Leo Technology and the companies we partner with are incredibly passionate about building environments where people from all backgrounds and walks of life are embraced. Our mission is to welcome everyone and create inclusive teams. We celebrate difference and encourage people from all backgrounds to apply. Leo Technology Limited is acting as an Employment Agency 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 Leo Technology website

A distinguished global investment bank is seeking a Windows Platform Engineer to join its esteemed Site Reliability Engineering team in London. This position presents an exceptional opportunity to contribute meaningfully by advancing continuous improvement, automation, and self-service solutions within a sophisticated infrastructure environment. The successful candidate will be entrusted with enhancing efficiency and reliability through refined engineering practices. WINDOWS PLATFORM ENGINEER Salary: £90,000 - £110,000Location: London What you'll do: In the capacity of Windows Platform Engineer, you will assume a central role in safeguarding the reliability and efficiency of the organisation's infrastructure estate. Your daily undertakings will encompass the creation of robust tools and processes aimed at automating operational tasks, enhancing system performance, and supporting seamless cloud migration initiatives. You will engage with cross-functional teams to deliver projects grounded in Infrastructure as Code principles, proactively monitor systems for emerging issues, and conduct meticulous root cause investigations post-incident. By collaborating with development teams on testing regimes and release management, you will facilitate service enhancements whilst upholding stringent standards of security and compliance. Your expertise will further be called upon for the preparation of comprehensive documentation, liaison with audit functions, identification of cost efficiencies, and deputisation for team leads when necessary. The breadth of this role ensures intellectual engagement-ranging from technical consultancy to hands-on administration-within a supportive environment where your contributions are both valued and impactful. • Design and implement software solutions that enable infrastructure services to operate autonomously and provide self-service capabilities for operational teams throughout the organisation.* Champion continuous service improvement initiatives by applying Infrastructure as Code methodologies across the platform.* Reduce manual intervention by automating repetitive processes, thereby allowing greater focus on strategic objectives.* Enhance system performance through the optimisation of resource allocation, efficient load distribution, and latency reduction across critical platforms.* Establish Service Level Objectives (SLOs) to ensure consistent achievement of availability and latency targets for all infrastructure components.* Develop proactive monitoring mechanisms that identify early warning signs rather than merely responding to outages, thus facilitating timely intervention and minimising disruption.* Conduct thorough root cause analyses following incidents or outages to prevent recurrence and elevate overall system reliability.* Work closely with development teams to refine services through rigorous testing protocols and structured release management procedures.* Engage collaboratively with application teams to identify technical debt and formulate remediation strategies aligned with business priorities.* Produce detailed operational documentation and standardised procedures to promote consistency and clarity across all engineering activities. What you bring:* A profound command of Microsoft Windows Server internals and associated technologies is indispensable for this appointment.* Demonstrable experience managing Active Directory, DHCP, DNS, LDAP, and Kerberos within extensive enterprise environments is essential.* A substantial background in hardware performance monitoring coupled with expertise in tuning complex low-latency systems is highly regarded.* An advanced understanding of Agile methodologies, Site Reliability Engineering (SRE), DevOps principles, and industry best practices is required.* Expert proficiency in scripting languages such as PowerShell, Python or C# facilitates effective automation of operational tasks.* Comprehensive knowledge of backup and recovery protocols ensures data integrity across all platforms under your stewardship.* Mastery in clustering technologies, high-availability configurations, replication techniques, and disaster recovery planning is crucial.* The ability to optimise network, storage, server, and virtualisation layers for peak performance evidences technical depth.* Experience interpreting CIS security hardening recommendations within regulated environments supports robust compliance measures.* Familiarity with Infrastructure as Code concepts alongside CI/CD pipelines utilising tools such as Git, Ansible, Terraform or TeamCity is expected.* Experience with Serena Deployment Automation (SDA), Jenkins or analogous deployment tools enhances operational efficacy.* Desirable skills include authoring playbooks on AWX/Ansible Tower; advanced proficiency in Kubernetes/Docker orchestration; database administration (SQL Server/Oracle/Sybase/MongoDB/Snowflake); IBM Tivoli/Netcool; Nutanix HCI/VMWare ESX; networking protocols (TCP/IP/DNS/DHCP/VLANs); RHEL/Oracle Linux/Solaris; cloud computing (Azure/AWS/GCP/Oracle); data security governance (GDPR/SOX); Dell EMC PowerStore/Isilon; Rubrik/EMC Networker/Data Domain/IBM Tivoli Storage Manager; CyberArk; Splunk; Qualys; Cisco Tetration; ServiceNow; JIRA/Confluence.* Exemplary communication skills enable you to articulate intricate technical concepts lucidly to stakeholders at all levels.* The capacity to maintain composure during periods of heightened pressure ensures reliable operations are sustained at all times.* A results-oriented approach combined with unwavering accountability fosters trust among colleagues and clients alike.* A proactive disposition paired with methodical work habits allows you to prioritise effectively even amidst demanding deadlines. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

Senior Front-End Engineer (Angular) Greater London (Remote/Hybrid - Flexible Working) £60,000 - £80,000 + Growth + Leadership + Equity Opportunities An excellent opportunity awaits a strong Frontend Engineer with solid Angular experience who is looking to take a leading role within a growing, well-funded early-stage start-up. This position offers real ownership, shaping architecture, influencing product direction, and helping scale an engineering function from the ground up.This company is a well-backed early-stage start-up with major commercial contracts already secured and founders who have previously built and exited successful businesses. They are building a data-driven platform that streamlines complex, multi-step processes through modelling, optimisation and workflow automation.In this role, you will take ownership of the frontend, leading architecture and driving end-to-end development of the user-facing platform. Working closely with an experienced, backend-leaning CTO and the founders, you will help define technical direction as the team grows. With planned hires over the next 18 months, this role naturally progresses into a broader leadership position. The role is based in Central London, with flexible remote working and collaborative in-person time throughout the month.The ideal candidate will have strong frontend architecture and engineering experience, ideally with latest versions of Angular. Experience with NgRx, RxJS and deploying to cloud environments is desirable. More importantly, they will be motivated by ownership, leadership and the opportunity to grow within a scaling business.This is a fantastic opportunity for an ambitious frontend engineer who wants impact, progression and visibility in a funded start-up environment, helping shape both the product and the engineering team from an early stageThe Role:Lead the frontend development and take ownership of the Angular platformDeliver features end to end and help define technical standardsWork closely with the founders and CTOSupport the growth of the engineering team as new hires joinBased in Central London with flexible remote working and regular in-office collaborationThe Person:Experience with state management tools such as NgRx or RxJS*Familiar with deploying applications into cloud environments (AWS, Azure, GCP)Looking to grow within an early-stage, scaling business Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

HVAC Engineer (Daikin / Mitsubishi) £48,000 - £52,000 (OTE) + Training + Company Pension Scheme + Company Benefits + Progression + Company Vehicle + Fuel Card + Overnight Allowance + Overtime + Private Healthcare London Are you an Installation / Service Engineer with experience working on HVAC systems looking for an exciting new opportunity to join a rapidly growing organization who are offering in house training and progression opportunities into senior roles? On offer is an exciting new opportunity where you will become a fundamental asset to the business. You will travelling to client sites where you'll perform troubleshooting, maintenance and repairs on various systems, provide technical support and communicate with clients and team members to ensure a high level of service and operational efficiency. This Company have been established for over two decades and have built a fantastic reputation within the industry. They provide comprehensive technical services such as air conditioning, heating systems, ventilation, electrical services and plumbing. They specialize in designing, maintaining and installing these systems for the retail, industrial and commercial sectors. This role would suit a Service Engineer who has experience working on HVAC systems looking to progress and grow with a well-established company who will give you the platform to succeed from the off. The Role: • Travel to client sites, • Perform maintenance, troubleshooting and repairs on various systems, • Covering London Patch, • Service, PPM and reactive maintenance, • Experience working on HVAC systems Keywords: HVAC, Service, Engineer, Maintenance, Repairs, Installation, London, Heating, Ventilation, Field, Air Con, Commercial, Residential Reference Number: BBBH23992 If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. Ernest Gordon 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 our website.

Senior DevOps Engineer (DV Cleared) Location: Central London (Hybrid – 1 day per week in office) Salary: Up to £100,000 + benefits Clearance:Active DV clearance required We’re looking for a Senior DevOps Engineer with active DV clearance to join a high-impact engineering team working on mission-critical, secure systems. You’ll be operating in a modern, cloud-native environment with a strong focus on AWS, Kubernetes, automation, and engineering excellence. This is a hands-on role where you’ll shape the platform, not just maintain it. What you’ll be doing • Designing, building, and operating secure AWS-based platforms, • Building and running Kubernetes clusters and containerised workloads, • Driving an automation-first approach across infrastructure, CI/CD, and operations, • Developing tooling and platform services using Python and/or Java, • Owning and improving CI/CD pipelines and release processes, • Implementing Infrastructure as Code (Terraform / CloudFormation or similar), • Improving reliability, observability, and resilience across critical systems, • Working closely with software engineers, security, and platform teams, • Contributing to architecture decisions and setting engineering best practices, • Mentoring engineers and raising the bar for DevOps and platform engineeringWhat we’re looking for, • Active DV clearance (essential), • Strong experience as a Senior DevOps / Platform / SRE Engineer, • Hands-on AWS experience in production environments, • Strong Kubernetes experience (deploying, operating, scaling clusters), • Solid programming experience with Python and/or Java, • Strong focus on automation across infrastructure, delivery, and operations, • Experience with Infrastructure as Code (Terraform, CloudFormation, Bicep, etc.), • CI/CD experience (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, etc.), • Good Linux knowledge and scripting skills, • Experience working in secure, regulated, or high-assurance environments, • A pragmatic, engineering-led mindset with strong ownershipNice to have, • Experience in defence, government, or highly regulated sectors, • Software, DevOps, SRE or platform engineering background, • Knowledge of secure networking, zero-trust, or compliance-driven architectures, • Experience operating systems at scaleWhy join?, • Work on high-impact, genuinely meaningful systems, • Hybrid working – only 1 day per week in the London office, • Salary up to £100,000 depending on experience, • Strong engineering culture with real technical ownership Follow ReVybe IT Recruitment on LinkedIn to stay updated with all the latest openings. DV Cleared, AWS, Kubernetes, Python, Java, Automation, Terraform, SQL, DevOps Senior DevOps Engineer (DV Cleared)

Exponential-e Founded in 2002, Exponential-e swiftly established itself as a UK Cloud, Connectivity and Communications pioneer. Throughout our history, a focus upon leveraging leading-edge technology to deliver profitable and innovative services to our clients and prospects has resulted in industry and peer recognition for our ground-breaking approach, a truly world-class ICT services company. We’re a company of innovators who think big and achieve bigger! Our people are crucial to the continuing success of our company. From our CEO to our new Graduates, each of our people demonstrates our PRIDE principles which are at the core of everything we do. Overall purpose of the job: Exponential-e’s Cloud and managed services are growing rapidly, with more customers adopting hybrid and multi-cloud strategies. The Cloud Platform & DevOps Engineer plays a critical role in supporting this growth by ensuring the delivery, reliability, and optimisation of Exponential-e’s cloud and platform services. As a Cloud Platform & DevOps Engineer, you will work across a variety of operational areas within the Managed Services team. Your responsibilities will include: • Supporting, maintaining, and optimising cloud and on-premise platforms for multiple customers., • Implementing automation, infrastructure-as-code, and CI/CD pipelines to improve efficiency and consistency., • Ensuring operational resilience through disaster recovery, backup, and monitoring processes., • Assisting with security, compliance, and governance controls across managed environments., • Troubleshooting and resolving complex technical issues across systems, networks, and data platforms. In this role, you will collaborate with Cloud Operations, Consulting Services and Enterprise Cloud teams to identify opportunities for operational improvements and automation. You will ensure that services integrate smoothly into the wider cloud portfolio and are aligned with customer requirements. You will also work closely with key technology vendors and internal teams to maintain platform stability, support operational initiatives, and contribute to the ongoing evolution of Exponential-e’s managed cloud services. Key responsibilities for this job: • Support the deployment, management, and automation of infrastructure using IaC tools such as Terraform, ARM/Bicep, or CloudFormation., • Maintain and troubleshoot CI/CD pipelines to enable reliable and repeatable application and platform deployments., • Monitor and optimise cloud consumption, supporting cost visibility and efficiency initiatives., • Execute and validate disaster recovery procedures, ensuring RPO/RTO objectives are met., • Setup and configuration of centralised monitoring tools and alerts., • Deploying, scaling, and managing containerised applications using tools like Kubernetes for clients who require container platforms, • Support patching, vulnerability remediation, and security incident response activities to maintain secure environments., • Assist with the operational management of data platforms, including storage, protection, replication, and automation of data workflows., • Manage network connectivity, firewalls, and SDN configurations, troubleshooting issues and supporting resilience improvements., • Provide 2nd/3rd line support for Windows and Linux systems, managing updates, performance tuning, and configuration consistency., • Maintain accurate system and configuration documentation, supporting compliance and governance requirements., • Collaborate across teams to improve operational efficiency, automate repetitive tasks, and reduce manual effort., • Any other fair and reasonable task or duty assigned to you by your Manager, or other senior Exponential-e Ltd staff member Knowledge and experience required: • Experience supporting hybrid cloud environments (Azure and VMware)., • Strong understanding of automation, scripting, and configuration management tools., • Familiarity with CI/CD tooling (GitHub Actions, Jenkins, Azure DevOps, etc.)., • Solid grounding in networking, identity, backup, and security principles., • Strong troubleshooting and analytical skills across infrastructure layers., • Excellent documentation and communication skills, with a focus on collaboration and service delivery. Desirable Certifications: • Microsoft Azure Administrator Associate (AZ-104), • Microsoft Azure Solutions Architect Expert (AZ-305), • Microsoft Azure DevOps Engineer Expert (AZ-400), • Microsoft Azure Security Engineer Associate (AZ-500), • Terraform Associate or other IaC-related certification, • FinOps Practitioner Our people are what makes Exponential-e Group the company it is today. This year’s employee survey highlighted that 81% of employees who took the survey, would recommend a friend to work for our organisation. Learning and development are fundamental parts of daily life at Exponential-e. From their first day at the company, everyone is provided ample opportunities to develop their skills and broaden their horizons, with our own L&D team running a range of bespoke courses, based on the latest innovations and challenges across the digital landscape. Exponential-e Group is committed to providing equal opportunities in employment and treating all employees with respect and dignity. The company respects and values the diversity of its staff, striving to maintain an environment where there is opportunity for everyone to feel valued, their talents to be utilised and for both personal and organisational aspirations to be met. Every employee plays a vital role in helping to create an inclusive working environment by understanding and harnessing difference in a positive way.

Senior Fullstack Engineer (React, Python) Location: Fully Remote (UK) Salary: Up to £80,000 + Benefits Tech: GCP, Python, React, React Native, JavaScript etc. We’re looking for a talented Fullstack Engineer to join a growing, product-focused team building modern, scalable applications in the cloud. You’ll be working end-to-end across backend, frontend, and mobile, helping shape both the product and the technical direction. This is a fully remote role within the UK, offering real ownership, modern tech, and the chance to build things that actually ship and scale. What you’ll be doing • Building and maintaining scalable services on Google Cloud Platform (GCP), • Developing backend services in Python, • Creating clean, responsive UIs using React and JavaScript, • Contributing to mobile experiences with React Native, • Working closely with product and design to deliver high-quality features, • Improving performance, reliability, and developer experience, • Taking part in technical decisions, code reviews, and architecture discussionsWhat we’re looking for, • Strong experience as a Fullstack Engineer or similar role, • Solid backend experience with Python, • Strong frontend skills with React and JavaScript, • Experience (or interest) in React Native, • Hands-on experience with GCP (or another major cloud provider with willingness to learn GCP), • Good understanding of APIs, cloud architecture, and modern web practices Apply now to be considered. Senior Full Stack Engineer Python, React, React Native, JavaScript, GCP, AWS

Software Engineer | Hybrid/Remote | UK | 45-65k The Sunday Times Best Places to Work. Plus FT Award! This isn't your typical "we're changing the world" startup waffle. These folks are actually doing something interesting – building an AI-powered tool that is a market leader! Founded in 2020, they've gone from zero to hero pretty quickly (hence the FT award), and now they're at that sweet spot where you can still make a massive impact but without the "will we exist next month?" anxiety. Their engineering team? Thoughtful, collaborative, actually gives a toss about quality code. They're building a platform that thousands of people use all day, every day – so no pressure, but also... proper impact. The Role (The Actual Work Bit) You'll be a proper full-stack engineer here. None of this "you'll exclusively work on one microservice in the corner" nonsense. You'll be: • Building features end-to-end (Python backend, Svelte/jQuery frontend), • Owning your work from "hey, we should build this" through to "bloody hell, it actually works", • Working with genuinely smart people who'll make you better at your job, • Actually talking to Product and QA like humans (revolutionary, we know), • Python (you should be solid here), • Svelte/jQuery (or similar modern frontend – they're not religious about it), • AWS, APIs, integrations, the usual suspects They're not just hiring walking CVs. They want: • Someone who gives a damn about quality and maintainability (future-you will thank present-you), • A collaborator, not a lone wolf genius type, • Product thinking – understanding the "why" not just the "what", • Clear communication, especially when things get messy, • Initiative without needing your hand held The Perks (Because Let's Be Honest, You Want to Know) • 25 days holiday + bank holidays, • MacBook + whatever tech you need, • Proper flexible working (hybrid/remote, your choice), • Private health, dental, vision (Aviva), • Income protection, • Mental health support & EAP, • Compassionate leave (because life happens), • Pension contributions (Royal London), • Monthly socials (actually fun ones), • High-performing team without the toxic hustle culture, • Autonomy and ownership without being left to drown, • Real product impact with a user base that actually uses what you build, • Company that's growing fast but sensibly If you're a solid engineer who wants breadth, impact, and to work with people who are the best at what they do. then apply!

Role: GenAI & Agentic Commerce Engineer Location: London, UK Salary: Competitive salary and package dependent on experience Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, song, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” - Julie Sweet, Accenture CEO As a team... You'll be joining our Commerce team within Accenture Song UKI, a dynamic group at the forefront of digital innovation. We're passionate about creating next-generation customer experiences, and we believe that generative AI and agentic commerce are key to unlocking the future of online shopping across a variety of industries. Our team is a mix of strategists, product owners, designers, and engineers, and we're looking for a hands-on technical practitioner to help us turn our ambitious vision into reality, as we prepare for a future of autonomous shopping and AI-driven personalization. As a GenAI and Agentic Commerce Engineer you will... • Design, build, and deploy cutting-edge generative AI and agentic commerce solutions for our clients., • Develop GenAI and Agentic experiences across the commerce lifecycle, for example: conversational AI, AI-powered search, and LLM-based discovery and checkout., • Use and integrate generative AI content creation tools to enhance product descriptions, imagery and personalised content, • Work with our functional teams to translate business requirements into technical specifications. We are looking for hands-on practitioners with a software development background who are passionate about this space and have been experimenting and building innovative solutions using the latest and greatest technology • Proven experience in a technical role, with a focus on AI/ML, • Hands-on experience with AI Workbenches on major cloud platforms, such as Gemini Enterprise, Azure AI Agent, • Familiarity with GenAI frameworks and libraries like LangChain, LlamaIndex, or Hugging Face., • A solid understanding of generative AI concepts, models, and frameworks., • Knowledge of the wider commerce technology stack, including PXM, CMS, and CDP platforms., • An understanding of composable commerce principles and MACH (Microservices, API-first, Cloud-native, Headless) architecture., • A deep understanding of the e-commerce landscape and its underlying technologies., • Knowledge of AI Agentic Infrastructure, including Agent Orchestration Layers and integration protocols like MCP and ACP., • Familiarity with the cloud environment, DevOps tools and observability for monitoring and optimizing agent performance., • A portfolio of building Proof-of-Concepts that demonstrate an aptitude for rapid learning and application of new technologies., • Contributions to open-source projects in the generative AI or agentic commerce space, • A professional certification in a major cloud platform (e.g., Google Professional Cloud Architect, Azure Solutions Architect Expert). At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role as there may be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. Accenture reserves the right to close the role prior to this date should a suitable applicant be found. • #LI-EU

Senior Software Engineer Salary: Up to £85,000 Hybrid - 2 days a week in office (London/Brighton/Cardiff) Why join us?We work at the intersection of creativity, data, and cutting-edge technology to turn ideas into measurable impact. Our strength comes from diverse perspectives, collaborative teams, and a culture that puts people first. Backed by a global media and content network, we build tools that reach real audiences at scale. The roleAs a Senior Software Engineer, you'll design and build high-impact tools, automation, and platforms used across global media, SEO, paid media, and content teams. You'll own solutions end-to-end, driving innovation, performance, and reliability. Hybrid: 2 days per week in the London Cardiff, or Brighton office What you'll do • Design, build, and ship innovative tools, apps, and automation, • Deliver reliable, scalable solutions that solve real business problems, • Champion engineering best practices (CI/CD, testing, documentation), • Work with cloud platforms and internal/external APIs, • Integrate data from multiple sources into insightful tools and dashboards, • Communicate clearly with technical and non-technical stakeholders, • Experience delivering greenfield or early-stage products, • Strong skills in JavaScript/TypeScript, Python, or similar, • Cloud experience (GCP preferred), including serverless development, • Solid SQL and data warehouse experience (e.g. BigQuery), • Experience with automation and modern front-end frameworks (e.g. React), • Exposure to AI-powered tools, agents, or workflows is a plus Location & eligibilityUK-based role. Right to work in the UK required (no visa sponsorship available).

Lead Data Engineer – Platform Reset & Build Location: North London (hybrid) Contract: Interim Rate:£800 per day (outside IR35) A North London–based organisation is seeking an Interim Lead Data Engineer to reset the data engineering function and build a new, best-in-class data engineering capability. This role is for a hands-on engineering leader. You will not be inheriting a greenfield environment, nor simply “running what exists”. The mandate is to review, fix, and rebuild data pipelines, engineering standards, and ways of working. The Role You will take ownership of the data engineering layer end to end, setting direction while remaining close to the code. The role combines technical depth, engineering leadership, and delivery discipline. Key responsibilities include: • Reviewing the current data engineering landscape and identifying structural weaknesses, • Resetting and rebuilding data pipelines, orchestration, and transformation layers, • Implementing engineering best practices across quality, testing, monitoring, CI/CD, and deployment, • Defining standards for scalability, reliability, performance, and cost control, • Working closely with data architects and stakeholders to translate designs into working pipelines, • Leading by example, remaining hands-on where needed to unblock delivery, • Proven experience as a Lead or Principal Data Engineer on complex data platforms, • Strong background in resetting or remediating underperforming data estates, • Deep experience with modern cloud data engineering stacks (Azure preferred), • Strong SQL, Python and data transformation experience, • Experience implementing engineering best practices rather than just delivering pipelines, • Genuine mandate to fix and rebuild, not patch, • High visibility and real ownership over the data engineering function, • Opportunity to leave behind a sustainable, well-run engineering platform

Data Platform Engineer - Contract Clearance: Must be BPSS-cleared and SC-eligibleStart Date: Subject to BPSS clearance and onboarding (approx. 5 working days)Duration: April 2026 - March 2027Location: UKOnsite Requirement: None (fully remote) Summary: • The production and maintenance of the NDC report - this involves data quality checks and development as the App is an evolving live service- The development and maintenance of the NHS App data publication- Support for the NHS App Reporting Dashboard which is the primary source of app data for regions, ICBs and GP practices- Assurance of briefing requests and stats for ministerial and executive briefings around the performance of the NHS AppFOI's and internal queries, Data quality issues, and improvements to national reporting Key Skills • Experience in Government Digital StandardDevOps, • Terraform and cloud native AzureDevelopment, • Azure, Python, React and / or Next.jsTesting, • Python and PlaywrightCode Version Control, • GitHub and GitLab Please send me a copy of your your CV if you meet the requirements

AWS DATA ENGINEER 6-MONTH CONTRACT £500-£550 PER DAY OUTSIDE IR35 FULLY REMOTE This role offers a great opportunity for an AWS Data Engineer to join a fast-paced media company working on a cutting-edge data ingestion and transformation project. You'll take ownership of end-to-end pipeline development, integrating real-time data streams and third-party APIs into a modern analytics stack. The environment promotes autonomy, modern tooling, and close collaboration across technical and business teams. THE COMPANYThis is a leading media organisation leveraging data to drive audience insights, engagement strategies, and targeted content delivery. They are investing heavily in their data platform and tooling, with an emphasis on real-time decision-making and scalable infrastructure. You'll be joining a team focused on delivering data into key business systems including CRM and analytics layers. THE ROLEYou'll be part of a cross-functional data engineering team responsible for ingesting, transforming, and delivering data to critical internal systems. This includes designing scalable AWS-based pipelines, integrating external APIs, and orchestrating transformations using DBT and Airflow. You'll also support the transition of R-based data streams into more maintainable Python workflows. Your responsibilities will include: * Building and maintaining ingestion pipelines using AWS Lambda, API Gateway, and Kinesis. * Integrating third-party APIs into the data platform and transforming data for CRM delivery. * Migrating R-based data streams into modern Airflow-managed Python/DBT pipelines. * Ensuring observability and reliability using CloudWatch and automated monitoring. * Supporting both BAU and new feature development within the data engineering function. KEY SKILLS AND REQUIREMENTS * Proven experience with AWS services including Lambda, API Gateway, S3, Kinesis, and CloudWatch. * Strong programming ability in Python and data transformation skills using SQL and DBT. * Experience with Airflow for orchestration and scheduling. * Familiarity with third-party API integration and scalable data delivery methods. * Excellent communication and the ability to work in a collaborative, agile environment. HOW TO APPLYPlease register your interest by sending your CV via the apply link on this page.

Senior Backend Engineer (Node.js, TypeScript)Outside IR35 | Up to £600/day | 6 monthsUK/EU Remote | ASAP Start We're supporting a recently acquired sports and gaming technology business as they strengthen their senior engineering capability across core backend platforms and data systems. They're hiring 2x Senior Backend Engineers to take technical ownership across a complex CMS, data platforms and integration-heavy services. These are hands-on senior roles focused on delivery, architecture, and mentoring within a distributed engineering team. The work is centred around scaling core backend systems, improving performance and reliability, and building integrations across internal services. One of the roles will also support HubSpot integrations, though this is a nice to have rather than a core requirement. The RoleYou'll be working across Node.js and TypeScript services that power multiple websites, internal tools and commercial data platforms. This is a technical leadership position without line management, suited to engineers who can drive system design decisions while remaining hands-on. You'll contribute across backend development, architecture, and delivery, helping raise engineering standards and reduce reliance on the central architect. Key Focus Areas Backend development across Node.js and TypeScript services Building and improving APIs, integrations and data-driven systems System design, architecture input and scalability work Mentoring engineers and improving technical standards Working closely with product, delivery and engineering leadership Leading integration work across multiple internal platforms* Supporting CRM/HubSpot integrations in one of the roles (nice to have) Tech EnvironmentNode.js, TypeScript, JavaScript, APIs, microservices, cloud platforms (AWS/GCP/Azure), data integrations, distributed systems. What They're Looking For 6-10+ years backend engineering experience Strong Node.js and TypeScript background in production environments Experience working on large, complex backend systems System design and architecture capability Experience mentoring or acting as a technical lead Strong integration experience across APIs and services Nice to Have Experience integrating HubSpot or similar CRM platforms DevOps/SRE awareness Experience in gaming, sports, fintech or high-scale consumer platforms Marketplace or booking-style platform experience Package Outside IR35 Up to £600/day 6 month initial contract (strong extension potential) UK/EU remote with optional London presence 2 stage interview process ASAP start preferred This is a high-impact role for senior backend engineers who want to take ownership of core systems, lead technical delivery and help shape the next phase of platform growth. To Apply, please email directly.