DV Cleared Cloud Engineer Outside IR Month Contract South West Hybrid 550 Per Day We are seeking an experienced DV Cleared Cloud Engineer to support critical, high-availability systems within secure government environments. This is an exciting opportunity to work across cloud and on-prem infrastructure, improving reliability, observability, automation, and delivery pipelines. Key Responsibilities Improve system reliability, performance, and scalability Collaborate with development and support teams Enhance monitoring, observability, and alerting capabilities Automate operational processes and reduce manual toil Support CI/CD pipelines and development environments Identify and mitigate reliability and availability risks Essential Skills & Experience Terraform and configuration management tools (Ansible, Chef, etc.) Docker and container orchestration (Kubernetes, OpenShift, Docker Swarm) CI/CD tooling such as Jenkins Monitoring tools including Prometheus, Grafana, or InfluxDB Linux administration and shell scripting AWS services (EC2, RDS, S3, Lambda) SQL and relational databases Messaging technologies such as RabbitMQ Desirable Skills Java, Go, or Python development experience Azure experience Service management environment experience Knowledge of observability best practices and availability metrics Experience with secure or cross-domain environments If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
May 20, 2026
Contractor
DV Cleared Cloud Engineer Outside IR Month Contract South West Hybrid 550 Per Day We are seeking an experienced DV Cleared Cloud Engineer to support critical, high-availability systems within secure government environments. This is an exciting opportunity to work across cloud and on-prem infrastructure, improving reliability, observability, automation, and delivery pipelines. Key Responsibilities Improve system reliability, performance, and scalability Collaborate with development and support teams Enhance monitoring, observability, and alerting capabilities Automate operational processes and reduce manual toil Support CI/CD pipelines and development environments Identify and mitigate reliability and availability risks Essential Skills & Experience Terraform and configuration management tools (Ansible, Chef, etc.) Docker and container orchestration (Kubernetes, OpenShift, Docker Swarm) CI/CD tooling such as Jenkins Monitoring tools including Prometheus, Grafana, or InfluxDB Linux administration and shell scripting AWS services (EC2, RDS, S3, Lambda) SQL and relational databases Messaging technologies such as RabbitMQ Desirable Skills Java, Go, or Python development experience Azure experience Service management environment experience Knowledge of observability best practices and availability metrics Experience with secure or cross-domain environments If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
What Are We Looking For? Our Travel team in Inverness is looking for a Travel Coordinator to join the business on a permanent basis. Reporting to the Travel Lead, you ll be required to provide administrative support with the management of projects, document control and production in a fast-paced environment. Some of Your Key Duties Include: Organise travel and bookings for stakeholders across the business. To assist project teams and managers with the maintenance of documentation and registers, issuing related stats and reports as required. Validating all bookings ensuring they are costed correctly. Liaise with current and new travel suppliers to negotiate various rates. To ensure all filing is completed in a timely and accurate manner. Maintain accurate travel records, track existing bookings and all associated costs. To organise and schedule meetings and appointments as required. To answer incoming calls in a timely, efficient and courteous manner. Carry out all other tasks as requested within the post holder s appropriate skill set. What Do You Need? Excellent IT skills (MS Office Outlook, Word and Excel in particular). Be able to organise and prioritise workload effectively. A willingness and ability to learn new skills. Be able to work to deadlines to produce work to a high standard. Excellent communication skills, both written and verbal. Be a clear and concise communicator maintaining a polite and professional manner. Full UK Driving Licence. Who Are We? RSE is a trusted clean water technology company, developing market leading products and solutions for purifying drinking water, recycling wastewater and cleaning water in industrial processes. We are disrupting the water sector, delivering water treatment products, technologies, and services to clients across the UK. RSE provides offsite modular build solutions using a low-carbon approach compared to traditional construction methods and our unique offering to the market focuses on innovation, efficiency, and excellence. Established in 1982, RSE has grown into one of the most prominent MEICA engineering businesses in the UK water industry. We have created a complete in-house and full-service capability from project inception through to design, fabrication, and delivery by means of installation and commissioning. We additionally have one of the largest servicing and maintenance teams in the market, to ensure we re on hand for all our clients needs. Our service offering presents industry-leading innovative solutions and our dedicated staff play a key role in delivering our sustainability and wider business goals. With over 2000 staff across our group of companies, our strategic ambition will see the business continue to grow as we expand our operations and diversify our products. One of RSE s key focuses is driving servant leadership and giving our people the opportunity and responsibility to take an entrepreneurial approach in their career development. What RSE Offer To build successful teams and drive the level of quality that RSE is renowned for, we know we need the best people in the industry. Not only do we require the relevant skillsets, but we also need people with the right attitude and mentality to thrive and grow in an innovative and fast-paced environment. At RSE, you ll be given every opportunity to set the path of your own career through our Business Streams and work within dynamic teams that will require you to rise to the challenge of working for a market leader. Industry-leading salary based on your experience. Holiday Allowance of 31 days per year, rising to 33 days per year after 2 years service. Private Healthcare (Personal) Holiday Buy / Sell Scheme Company Pension Scheme Cycle to Work Discounted National Gym Membership Professional Fees Paid Employee Discount Platform EV/Hybrid Car Lease Scheme Access to our network of health professionals including mental health champions and Occupational Health Nurse. In a flourishing sector where there are vast career opportunities available, we believe by leading transformation in the industry our offering to the market means our people have the space to thrive. If you re interested in a career with a company that will harness your skills and provide you with the support to create your own future within the water industry, apply now.
May 20, 2026
Full time
What Are We Looking For? Our Travel team in Inverness is looking for a Travel Coordinator to join the business on a permanent basis. Reporting to the Travel Lead, you ll be required to provide administrative support with the management of projects, document control and production in a fast-paced environment. Some of Your Key Duties Include: Organise travel and bookings for stakeholders across the business. To assist project teams and managers with the maintenance of documentation and registers, issuing related stats and reports as required. Validating all bookings ensuring they are costed correctly. Liaise with current and new travel suppliers to negotiate various rates. To ensure all filing is completed in a timely and accurate manner. Maintain accurate travel records, track existing bookings and all associated costs. To organise and schedule meetings and appointments as required. To answer incoming calls in a timely, efficient and courteous manner. Carry out all other tasks as requested within the post holder s appropriate skill set. What Do You Need? Excellent IT skills (MS Office Outlook, Word and Excel in particular). Be able to organise and prioritise workload effectively. A willingness and ability to learn new skills. Be able to work to deadlines to produce work to a high standard. Excellent communication skills, both written and verbal. Be a clear and concise communicator maintaining a polite and professional manner. Full UK Driving Licence. Who Are We? RSE is a trusted clean water technology company, developing market leading products and solutions for purifying drinking water, recycling wastewater and cleaning water in industrial processes. We are disrupting the water sector, delivering water treatment products, technologies, and services to clients across the UK. RSE provides offsite modular build solutions using a low-carbon approach compared to traditional construction methods and our unique offering to the market focuses on innovation, efficiency, and excellence. Established in 1982, RSE has grown into one of the most prominent MEICA engineering businesses in the UK water industry. We have created a complete in-house and full-service capability from project inception through to design, fabrication, and delivery by means of installation and commissioning. We additionally have one of the largest servicing and maintenance teams in the market, to ensure we re on hand for all our clients needs. Our service offering presents industry-leading innovative solutions and our dedicated staff play a key role in delivering our sustainability and wider business goals. With over 2000 staff across our group of companies, our strategic ambition will see the business continue to grow as we expand our operations and diversify our products. One of RSE s key focuses is driving servant leadership and giving our people the opportunity and responsibility to take an entrepreneurial approach in their career development. What RSE Offer To build successful teams and drive the level of quality that RSE is renowned for, we know we need the best people in the industry. Not only do we require the relevant skillsets, but we also need people with the right attitude and mentality to thrive and grow in an innovative and fast-paced environment. At RSE, you ll be given every opportunity to set the path of your own career through our Business Streams and work within dynamic teams that will require you to rise to the challenge of working for a market leader. Industry-leading salary based on your experience. Holiday Allowance of 31 days per year, rising to 33 days per year after 2 years service. Private Healthcare (Personal) Holiday Buy / Sell Scheme Company Pension Scheme Cycle to Work Discounted National Gym Membership Professional Fees Paid Employee Discount Platform EV/Hybrid Car Lease Scheme Access to our network of health professionals including mental health champions and Occupational Health Nurse. In a flourishing sector where there are vast career opportunities available, we believe by leading transformation in the industry our offering to the market means our people have the space to thrive. If you re interested in a career with a company that will harness your skills and provide you with the support to create your own future within the water industry, apply now.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Engineering Group based in the outskirts of Portsmouth, Hampshire, has a requirement for an interim Finance Business Partner to undertake the financial responsibility for a key programme within the division. What will the Interim Finance Business Partner role involve? Reporting to the Finance Director, the key responsibilities of the interim Finance Business Partner position will include: Cost and revenue tracking for the programme providing detailed analysis of any variance to budget Provision of forecast to completion using Estimates to Complete and estimates at Completion reporting liaising with key non-finance stakeholders from operations and delivery teams, as well as project managers to gain relevant information and challenge them in their forecasts and delivery Review of current systems and processes and the large volumes of data involved to ensure the information provided is accurate and complete Suitable Candidate for the Interim Finance Business Partner vacancy: Applicants for the position will ideally hold a full accountancy qualification with previous experience of undertaking a similar position and a demonstrable track record of effectively managing engineering programmes from a finance perspective Strong communication skills and the ability to build effective relationships with non-finance managers will be essential to undertake the role successfully Strong system capabilities including the ability to process large quantities of data will also be essential to ensure that the role is undertaken effectively Additional benefits and information for the role of Interim Finance Business Partner: Applicants for the position must be either immediately available or on short notice with previous experience of undertaking a similar position ideally within a Defence organisation The role will be offered on a hybrid working basis with the successful applicant expected to attend the office 3 days a week Daily rate will be dependent on experience CMA Recruitment Group is acting as a recruitment business in relation to this role. CMA complies with all relevant UK legislation and doesn't discriminate on any protected characteristics. By completing the application process, you agree to the terms outlined in our Privacy Notice and that CMA may contact you in connection with your application in relation to CMA providing you with work finding services. Our Privacy Notice can be viewed under the privacy tab on our website. CMA is currently receiving a high volume of applications. Whilst we ensure all applications are considered, regrettably, it may not be possible to respond individually to all applications received.
May 20, 2026
Seasonal
Engineering Group based in the outskirts of Portsmouth, Hampshire, has a requirement for an interim Finance Business Partner to undertake the financial responsibility for a key programme within the division. What will the Interim Finance Business Partner role involve? Reporting to the Finance Director, the key responsibilities of the interim Finance Business Partner position will include: Cost and revenue tracking for the programme providing detailed analysis of any variance to budget Provision of forecast to completion using Estimates to Complete and estimates at Completion reporting liaising with key non-finance stakeholders from operations and delivery teams, as well as project managers to gain relevant information and challenge them in their forecasts and delivery Review of current systems and processes and the large volumes of data involved to ensure the information provided is accurate and complete Suitable Candidate for the Interim Finance Business Partner vacancy: Applicants for the position will ideally hold a full accountancy qualification with previous experience of undertaking a similar position and a demonstrable track record of effectively managing engineering programmes from a finance perspective Strong communication skills and the ability to build effective relationships with non-finance managers will be essential to undertake the role successfully Strong system capabilities including the ability to process large quantities of data will also be essential to ensure that the role is undertaken effectively Additional benefits and information for the role of Interim Finance Business Partner: Applicants for the position must be either immediately available or on short notice with previous experience of undertaking a similar position ideally within a Defence organisation The role will be offered on a hybrid working basis with the successful applicant expected to attend the office 3 days a week Daily rate will be dependent on experience CMA Recruitment Group is acting as a recruitment business in relation to this role. CMA complies with all relevant UK legislation and doesn't discriminate on any protected characteristics. By completing the application process, you agree to the terms outlined in our Privacy Notice and that CMA may contact you in connection with your application in relation to CMA providing you with work finding services. Our Privacy Notice can be viewed under the privacy tab on our website. CMA is currently receiving a high volume of applications. Whilst we ensure all applications are considered, regrettably, it may not be possible to respond individually to all applications received.
Hayley Dexis has an exciting opportunity available for a RFQ Coordinator to join our well-established and expanding Rail department based in Manchester. Hayley Dexis is the largest independent distributor of engineering products and consumables in the UK. With a commitment to innovation and excellence, we provide cutting-edge solutions to our clients across various industries. We are an equal opportunities employer, currently employing over 1,300 people who continue to be a cornerstone of our business and are fundamental to providing industry-leading customer service. About the External Salesperson role As our RFQ Coordinator your primary responsibility will be to manage and coordinate the entire process of responding to requests for quotations (RFQs), developing strong and long-lasting relationships with supply partners, both established and new, helping to negotiate the best deals for Hayley Group whilst ensuring due regard to quality, cost, and timely delivery of products. You will collaborate with the Rail team to ensure that our customers receive our best-in-class service Working Hours: 40 hours per week Monday to Friday. What we're looking for in our RFQ Coordinator: Previous RFQ or supply experience is essential. Knowledge of the Fastener industry and supplier base is essential. Exposure to ERP and MRP systems. Proficient in basic computer applications, including Microsoft Office with a sound grasp of Excel. An effective communicator, with good verbal and written communication skills. Customer and supplier focused driven to provide consistently high levels of service. A desire/drive to improve upon the above skill sets or demonstrate a willingness to learn and develop within the role. Key responsibilities as our RFQ Coordinator will include: Oversee the end-to-end process of RFQs, ensuring adherence to deadlines, requirements, and company guidelines. Target cost savings through better commercials through suppliers Supplier Selection - identify and evaluate potential suppliers or subcontractors, ensuring their capabilities align with project requirements. Undertake negotiations with suppliers, place direct orders and expedite those orders ensuring timely delivery to the customer. Work closely with rail colleagues to identify improvements to services and products. Resolve supplier invoice queries, liaising with Hayley HQ Accounts team and other Hayley colleagues as appropriate. Recording enquiries, orders, invoices, and other documentation. What you ll get in return Highly competitive salary + bonus scheme From 23 days annual leave (plus public/bank holidays) increased with length of service. Training provided through our own Hayley Academy. Company pension Life Assurance cover (x2 salary). Invitation to healthcare schemes. Wellness programmes. Uniform and PPE provided. Excellent opportunities and career prospects available. The recruitment process Adverts will close on Sunday 31st May 2026 The advert will be closed should a suitable person be identified during the advertising window, so please submit applications or notes of interest ASAP! Our process; Shortlisting throughout the advertising window Teams interview with our Talent Acquisition Partner. Face to face interview in branch location Candidates selected for final interview will be asked to prepare a for an interview lasting 1 hour focused on skills, knowledge, experience and motivations. Finally We know sometimes you might feel that you don't meet the criteria or have a question you would like to ask - we're here to help so please ask us! You can contact us here; (url removed) We aim to get back to everyone that applies and are super keen to speak to talented people for upcoming positions. Please inform our careers team if you require any adjustments throughout the recruitment process. Don t miss out on this fantastic opportunity to join the team at Hayley Group please click apply now to become our RFQ Coordinator (Manchester) we'd love to hear from you!
May 20, 2026
Full time
Hayley Dexis has an exciting opportunity available for a RFQ Coordinator to join our well-established and expanding Rail department based in Manchester. Hayley Dexis is the largest independent distributor of engineering products and consumables in the UK. With a commitment to innovation and excellence, we provide cutting-edge solutions to our clients across various industries. We are an equal opportunities employer, currently employing over 1,300 people who continue to be a cornerstone of our business and are fundamental to providing industry-leading customer service. About the External Salesperson role As our RFQ Coordinator your primary responsibility will be to manage and coordinate the entire process of responding to requests for quotations (RFQs), developing strong and long-lasting relationships with supply partners, both established and new, helping to negotiate the best deals for Hayley Group whilst ensuring due regard to quality, cost, and timely delivery of products. You will collaborate with the Rail team to ensure that our customers receive our best-in-class service Working Hours: 40 hours per week Monday to Friday. What we're looking for in our RFQ Coordinator: Previous RFQ or supply experience is essential. Knowledge of the Fastener industry and supplier base is essential. Exposure to ERP and MRP systems. Proficient in basic computer applications, including Microsoft Office with a sound grasp of Excel. An effective communicator, with good verbal and written communication skills. Customer and supplier focused driven to provide consistently high levels of service. A desire/drive to improve upon the above skill sets or demonstrate a willingness to learn and develop within the role. Key responsibilities as our RFQ Coordinator will include: Oversee the end-to-end process of RFQs, ensuring adherence to deadlines, requirements, and company guidelines. Target cost savings through better commercials through suppliers Supplier Selection - identify and evaluate potential suppliers or subcontractors, ensuring their capabilities align with project requirements. Undertake negotiations with suppliers, place direct orders and expedite those orders ensuring timely delivery to the customer. Work closely with rail colleagues to identify improvements to services and products. Resolve supplier invoice queries, liaising with Hayley HQ Accounts team and other Hayley colleagues as appropriate. Recording enquiries, orders, invoices, and other documentation. What you ll get in return Highly competitive salary + bonus scheme From 23 days annual leave (plus public/bank holidays) increased with length of service. Training provided through our own Hayley Academy. Company pension Life Assurance cover (x2 salary). Invitation to healthcare schemes. Wellness programmes. Uniform and PPE provided. Excellent opportunities and career prospects available. The recruitment process Adverts will close on Sunday 31st May 2026 The advert will be closed should a suitable person be identified during the advertising window, so please submit applications or notes of interest ASAP! Our process; Shortlisting throughout the advertising window Teams interview with our Talent Acquisition Partner. Face to face interview in branch location Candidates selected for final interview will be asked to prepare a for an interview lasting 1 hour focused on skills, knowledge, experience and motivations. Finally We know sometimes you might feel that you don't meet the criteria or have a question you would like to ask - we're here to help so please ask us! You can contact us here; (url removed) We aim to get back to everyone that applies and are super keen to speak to talented people for upcoming positions. Please inform our careers team if you require any adjustments throughout the recruitment process. Don t miss out on this fantastic opportunity to join the team at Hayley Group please click apply now to become our RFQ Coordinator (Manchester) we'd love to hear from you!
Enterprise Architect (Microsoft Azure) Enterprise Architect with strong Microsoft Azure expertise required to join our Financial Services client, to help shape and deliver their enterprise-wide technology strategy. This is a key leadership role focused on driving scalable, secure, and modern cloud architecture across complex business and technology programmes. As Enterprise Architect, you will define and evolve the organisation's enterprise architecture roadmap, ensuring alignment between business objectives and technology investment. You will provide architectural leadership across cloud-native and hybrid environments, guiding engineering and delivery teams through large-scale transformation initiatives. This role offers the opportunity to influence strategic technology decisions, promote innovation, and establish best practices across architecture governance, cloud adoption, security, and DevOps. Key Responsibilities Define and maintain enterprise architecture strategies, standards, and governance frameworks Lead architecture review processes and ensure consistency across programmes and projects Design and oversee scalable Microsoft Azure solutions across IaaS, PaaS, and SaaS environments Drive cloud migration and modernisation initiatives Develop reusable reference architectures and technical patterns Collaborate with solution architects, engineering teams, and senior stakeholders Ensure security, resilience, performance, and cost optimisation are Embedded into all solutions Promote DevOps, automation, and platform engineering best practices Evaluate emerging technologies and provide strategic recommendations Required Skills & Experience Strong experience designing enterprise-scale solutions within Microsoft Azure Deep understanding of cloud-native architecture, microservices, APIs, and hybrid cloud environments Experience with Azure services including AKS, Azure Functions, App Services, Azure DevOps, and Azure Active Directory Knowledge of Infrastructure as Code tools such as Terraform, Bicep, or ARM templates Experience implementing CI/CD pipelines and automation practices Strong understanding of cloud security, governance, and identity/access management Experience working with enterprise architecture frameworks such as TOGAF Excellent stakeholder engagement and communication skills Ability to operate strategically while maintaining strong technical credibility This is an excellent opportunity to join a forward-thinking organisation at the forefront of digital transformation, where you will play a key role in shaping enterprise-wide cloud and technology strategy. Worthing, West Sussex Hybrid working (3 days on site) £80k to £95k
May 20, 2026
Full time
Enterprise Architect (Microsoft Azure) Enterprise Architect with strong Microsoft Azure expertise required to join our Financial Services client, to help shape and deliver their enterprise-wide technology strategy. This is a key leadership role focused on driving scalable, secure, and modern cloud architecture across complex business and technology programmes. As Enterprise Architect, you will define and evolve the organisation's enterprise architecture roadmap, ensuring alignment between business objectives and technology investment. You will provide architectural leadership across cloud-native and hybrid environments, guiding engineering and delivery teams through large-scale transformation initiatives. This role offers the opportunity to influence strategic technology decisions, promote innovation, and establish best practices across architecture governance, cloud adoption, security, and DevOps. Key Responsibilities Define and maintain enterprise architecture strategies, standards, and governance frameworks Lead architecture review processes and ensure consistency across programmes and projects Design and oversee scalable Microsoft Azure solutions across IaaS, PaaS, and SaaS environments Drive cloud migration and modernisation initiatives Develop reusable reference architectures and technical patterns Collaborate with solution architects, engineering teams, and senior stakeholders Ensure security, resilience, performance, and cost optimisation are Embedded into all solutions Promote DevOps, automation, and platform engineering best practices Evaluate emerging technologies and provide strategic recommendations Required Skills & Experience Strong experience designing enterprise-scale solutions within Microsoft Azure Deep understanding of cloud-native architecture, microservices, APIs, and hybrid cloud environments Experience with Azure services including AKS, Azure Functions, App Services, Azure DevOps, and Azure Active Directory Knowledge of Infrastructure as Code tools such as Terraform, Bicep, or ARM templates Experience implementing CI/CD pipelines and automation practices Strong understanding of cloud security, governance, and identity/access management Experience working with enterprise architecture frameworks such as TOGAF Excellent stakeholder engagement and communication skills Ability to operate strategically while maintaining strong technical credibility This is an excellent opportunity to join a forward-thinking organisation at the forefront of digital transformation, where you will play a key role in shaping enterprise-wide cloud and technology strategy. Worthing, West Sussex Hybrid working (3 days on site) £80k to £95k
Senior Cyber Security Analyst/Lead Central London (1 day per week onsite) c£85,000 + benefits About the Role This is a highly visible opportunity to join a growing global Cyber Defence function at an exciting stage of transformation and centralisation. Cyber security remains a core strategic priority for the organisation as it continues to modernise operations and strengthen resilience across a complex international environment. The successful individual will play a critical role in strengthening operational security capabilities while helping shape the future direction of the team as the wider security function evolves. This role offers genuine ownership, senior stakeholder exposure and strong progression potential into future lead or management responsibilities over time. The Opportunity We are seeking an experienced Senior Cyber Security Analyst/Lead to join a global Cyber Defence function. This is not a traditional SOC analyst position focused purely on alert investigation. Instead, this role requires an individual capable of leading cyber incidents operationally, technically and commercially from end-to-end. You will act as a senior technical subject matter expert across incident response, detection engineering, cloud security and vulnerability management, while also providing calm, structured leadership during high-pressure situations. The environment is heavily Microsoft-focused, with particular emphasis on: Microsoft Sentinel Microsoft Defender XDR Azure security and secure-by-design principles Detection engineering and automation Threat and vulnerability management You will work closely with global technology and cyber teams to continuously improve monitoring, detection, response and remediation capabilities across hybrid cloud and on-premise environments. Key Responsibilities Incident Response & Major Incident Management Lead the end-to-end management of cyber security incidents across global environments. Take ownership of incident triage, severity assessment and response coordination across P1-P4 incidents. Lead incident bridge calls and coordinate technical and business stakeholders throughout the incident life cycle. Assess technical, operational and commercial impact to support effective decision-making under pressure. Provide clear, calm and structured communications to both technical teams and senior leadership. Drive containment, eradication, recovery and post-incident improvement activities. Conduct root cause analysis and ensure lessons learned are Embedded into operational processes and controls. Develop and maintain incident response procedures, playbooks and documentation aligned to industry best practice. Detection Engineering & Security Automation Configure, optimise and continuously improve Microsoft Sentinel and Microsoft Defender technologies. Develop and tune detection logic using KQL to identify emerging threats and attacker behaviours. Build and maintain automated SOAR workflows using Logic Apps and related technologies. Integrate Microsoft security tooling with third-party technologies and service providers. Identify monitoring gaps and improve visibility across cloud and on-premise environments. Maintain high-quality technical documentation for detections, automations and operational workflows. Cloud Security & Secure-by-Design Support secure configuration and operational security across Azure and associated cloud services. Collaborate with infrastructure and engineering teams to embed secure-by-design principles. Evaluate configuration changes and ensure alignment with security standards and controls. Support implementation and optimisation of Microsoft Defender security policies across endpoint, identity, cloud and email platforms. Contribute to the continuous improvement of cloud security posture across global operations. Threat & Vulnerability Management Support and enhance the vulnerability management programme across infrastructure, cloud and endpoint environments. Work with tools such as Microsoft Defender Vulnerability Management and Tenable to identify and prioritise vulnerabilities. Translate vulnerability findings into actionable remediation plans with technology stakeholders. Leverage cyber threat intelligence to improve detection capabilities and prioritisation decisions. Track remediation progress and provide meaningful risk reporting to cyber leadership. Stakeholder Management & Collaboration Partner with Group IT, Regional IT and wider technology teams across multiple geographies. Act as a trusted advisor across operational security, incident response and cyber defence activities. Balance technical risk with operational realities and business priorities. Demonstrate strong stakeholder management and communication skills at all levels of the organisation. Contribute to a positive cyber security culture and continuous improvement mindset across the business. What We're Looking For Essential Experience Proven experience leading cyber security incidents end-to-end within enterprise environments. Strong background in Security Operations, Cyber Defence, Incident Response or Blue Team functions. Experience operating within hybrid cloud and on-premise environments. Hands-on experience with Microsoft Sentinel, Microsoft Defender XDR and Azure security technologies. Experience with detection engineering, threat detection and security automation. Exposure to vulnerability management platforms such as Tenable or Microsoft Defender Vulnerability Management. Experience managing stakeholder communications during high-severity incidents. Strong understanding of attacker tactics, techniques and procedures (TTPs). Technical Skills Strong Microsoft security ecosystem expertise. Advanced KQL experience for investigations, detections and reporting. Experience building automation workflows using Logic Apps or similar technologies. Knowledge of cloud security principles across Azure and ideally AWS or Google Cloud. Familiarity with industry frameworks such as NIST and ISO 27001. Personal Attributes We are particularly interested in individuals who demonstrate: Calmness under pressure Strong ownership and accountability Excellent communication and stakeholder management skills Commercial awareness alongside technical depth Gravitas and confidence leading senior incident discussions The ability to know when to stop investigating and start managing the wider incident process What's on Offer Highly visible role within a growing global cyber security function Genuine ownership and influence across security operations Opportunity to shape and mature cyber defence capabilities globally Strong balance of technical depth and business engagement Clear long-term progression opportunities as the team expands Flexible hybrid working with only 1 day per week onsite in Central London To apply for this fantastic opportunity please send your CV
May 20, 2026
Full time
Senior Cyber Security Analyst/Lead Central London (1 day per week onsite) c£85,000 + benefits About the Role This is a highly visible opportunity to join a growing global Cyber Defence function at an exciting stage of transformation and centralisation. Cyber security remains a core strategic priority for the organisation as it continues to modernise operations and strengthen resilience across a complex international environment. The successful individual will play a critical role in strengthening operational security capabilities while helping shape the future direction of the team as the wider security function evolves. This role offers genuine ownership, senior stakeholder exposure and strong progression potential into future lead or management responsibilities over time. The Opportunity We are seeking an experienced Senior Cyber Security Analyst/Lead to join a global Cyber Defence function. This is not a traditional SOC analyst position focused purely on alert investigation. Instead, this role requires an individual capable of leading cyber incidents operationally, technically and commercially from end-to-end. You will act as a senior technical subject matter expert across incident response, detection engineering, cloud security and vulnerability management, while also providing calm, structured leadership during high-pressure situations. The environment is heavily Microsoft-focused, with particular emphasis on: Microsoft Sentinel Microsoft Defender XDR Azure security and secure-by-design principles Detection engineering and automation Threat and vulnerability management You will work closely with global technology and cyber teams to continuously improve monitoring, detection, response and remediation capabilities across hybrid cloud and on-premise environments. Key Responsibilities Incident Response & Major Incident Management Lead the end-to-end management of cyber security incidents across global environments. Take ownership of incident triage, severity assessment and response coordination across P1-P4 incidents. Lead incident bridge calls and coordinate technical and business stakeholders throughout the incident life cycle. Assess technical, operational and commercial impact to support effective decision-making under pressure. Provide clear, calm and structured communications to both technical teams and senior leadership. Drive containment, eradication, recovery and post-incident improvement activities. Conduct root cause analysis and ensure lessons learned are Embedded into operational processes and controls. Develop and maintain incident response procedures, playbooks and documentation aligned to industry best practice. Detection Engineering & Security Automation Configure, optimise and continuously improve Microsoft Sentinel and Microsoft Defender technologies. Develop and tune detection logic using KQL to identify emerging threats and attacker behaviours. Build and maintain automated SOAR workflows using Logic Apps and related technologies. Integrate Microsoft security tooling with third-party technologies and service providers. Identify monitoring gaps and improve visibility across cloud and on-premise environments. Maintain high-quality technical documentation for detections, automations and operational workflows. Cloud Security & Secure-by-Design Support secure configuration and operational security across Azure and associated cloud services. Collaborate with infrastructure and engineering teams to embed secure-by-design principles. Evaluate configuration changes and ensure alignment with security standards and controls. Support implementation and optimisation of Microsoft Defender security policies across endpoint, identity, cloud and email platforms. Contribute to the continuous improvement of cloud security posture across global operations. Threat & Vulnerability Management Support and enhance the vulnerability management programme across infrastructure, cloud and endpoint environments. Work with tools such as Microsoft Defender Vulnerability Management and Tenable to identify and prioritise vulnerabilities. Translate vulnerability findings into actionable remediation plans with technology stakeholders. Leverage cyber threat intelligence to improve detection capabilities and prioritisation decisions. Track remediation progress and provide meaningful risk reporting to cyber leadership. Stakeholder Management & Collaboration Partner with Group IT, Regional IT and wider technology teams across multiple geographies. Act as a trusted advisor across operational security, incident response and cyber defence activities. Balance technical risk with operational realities and business priorities. Demonstrate strong stakeholder management and communication skills at all levels of the organisation. Contribute to a positive cyber security culture and continuous improvement mindset across the business. What We're Looking For Essential Experience Proven experience leading cyber security incidents end-to-end within enterprise environments. Strong background in Security Operations, Cyber Defence, Incident Response or Blue Team functions. Experience operating within hybrid cloud and on-premise environments. Hands-on experience with Microsoft Sentinel, Microsoft Defender XDR and Azure security technologies. Experience with detection engineering, threat detection and security automation. Exposure to vulnerability management platforms such as Tenable or Microsoft Defender Vulnerability Management. Experience managing stakeholder communications during high-severity incidents. Strong understanding of attacker tactics, techniques and procedures (TTPs). Technical Skills Strong Microsoft security ecosystem expertise. Advanced KQL experience for investigations, detections and reporting. Experience building automation workflows using Logic Apps or similar technologies. Knowledge of cloud security principles across Azure and ideally AWS or Google Cloud. Familiarity with industry frameworks such as NIST and ISO 27001. Personal Attributes We are particularly interested in individuals who demonstrate: Calmness under pressure Strong ownership and accountability Excellent communication and stakeholder management skills Commercial awareness alongside technical depth Gravitas and confidence leading senior incident discussions The ability to know when to stop investigating and start managing the wider incident process What's on Offer Highly visible role within a growing global cyber security function Genuine ownership and influence across security operations Opportunity to shape and mature cyber defence capabilities globally Strong balance of technical depth and business engagement Clear long-term progression opportunities as the team expands Flexible hybrid working with only 1 day per week onsite in Central London To apply for this fantastic opportunity please send your CV
Web Developer Our client, an innovative technology organisation operating within the travel and mobility sector, is seeking a Mid-Level Web Developer to join their growing engineering team. This is an exciting opportunity to contribute to the development of scalable, cloud-based applications that support high-volume, user-centric digital experiences across international markets. You will play a key role across the full software development life cycle, from design and architecture through to deployment and ongoing optimisation. Working with modern frameworks and cloud technologies, you'll help deliver secure, high-performing applications in a collaborative, agile environment. Key Responsibilities Design, build, and maintain scalable applications using .NET technologies Contribute to system architecture and technical design decisions Develop and manage cloud-native applications (AWS and/or Azure) Build and integrate RESTful and SOAP APIs with third-party systems Design and optimise SQL and NoSQL databases Support full SDLC including testing, deployment, and maintenance Monitor performance, troubleshoot issues, and drive continuous improvements Required Skills & Experience 3-5 years' experience in software or application development Strong proficiency in C#, ASP.NET/ASP.NET Core Experience with modern Front End frameworks (Angular, React, or Vue.js) Solid understanding of REST APIs, microservices, and performance optimisation Experience with SQL Server and exposure to NoSQL databases Hands-on experience with AWS and/or Azure Familiarity with CI/CD pipelines and Infrastructure as Code (eg Terraform) Strong understanding of Agile development practices Excellent problem-solving and debugging skills This is an opportunity to join an award-winning software company known for its collaborative and social culture. Based in Central Brighton, the team fosters a supportive and engaging working environment, offering a balance of high-performance delivery and a genuinely enjoyable workplace atmosphere. Brighton - 4 days in office, 1 day remote £40k to £60k DOE
May 20, 2026
Full time
Web Developer Our client, an innovative technology organisation operating within the travel and mobility sector, is seeking a Mid-Level Web Developer to join their growing engineering team. This is an exciting opportunity to contribute to the development of scalable, cloud-based applications that support high-volume, user-centric digital experiences across international markets. You will play a key role across the full software development life cycle, from design and architecture through to deployment and ongoing optimisation. Working with modern frameworks and cloud technologies, you'll help deliver secure, high-performing applications in a collaborative, agile environment. Key Responsibilities Design, build, and maintain scalable applications using .NET technologies Contribute to system architecture and technical design decisions Develop and manage cloud-native applications (AWS and/or Azure) Build and integrate RESTful and SOAP APIs with third-party systems Design and optimise SQL and NoSQL databases Support full SDLC including testing, deployment, and maintenance Monitor performance, troubleshoot issues, and drive continuous improvements Required Skills & Experience 3-5 years' experience in software or application development Strong proficiency in C#, ASP.NET/ASP.NET Core Experience with modern Front End frameworks (Angular, React, or Vue.js) Solid understanding of REST APIs, microservices, and performance optimisation Experience with SQL Server and exposure to NoSQL databases Hands-on experience with AWS and/or Azure Familiarity with CI/CD pipelines and Infrastructure as Code (eg Terraform) Strong understanding of Agile development practices Excellent problem-solving and debugging skills This is an opportunity to join an award-winning software company known for its collaborative and social culture. Based in Central Brighton, the team fosters a supportive and engaging working environment, offering a balance of high-performance delivery and a genuinely enjoyable workplace atmosphere. Brighton - 4 days in office, 1 day remote £40k to £60k DOE
Senior Platform Engineer, AWS £90k + bonus + equity + benefits, Remote (UK) Our scale-up digital marketplace client is looking for a hands-on Senior Platform Engineer to join a growing team, working directly with the Head of Platforms to build and scale a modern AWS environment. This is a great opportunity for someone who enjoys owning infrastructure, solving real engineering problems, and working across the full platform life cycle in a lean, high-impact environment. The role Building and operating AWS infrastructure Leading cloud migrations and platform improvements Writing Infrastructure as Code (Terraform, Pulumi, or OpenTofu) Improving monitoring & observability (Datadog) Developing CI/CD pipelines (GitHub, CircleCI) Supporting engineers with deployments and new services What we're looking for Strong Platform Engineering experience Deep AWS knowledge Infrastructure as Code expertise Python Scripting skills CI/CD experience (GitHub, CircleCI) Comfortable working in a fast-moving, evolving environment Nice to have Background in Back End/software engineering Experience in scaling organisations Location: Remote (UK-based, quarterly meetups) Sound like you? Please get in touch.
May 20, 2026
Full time
Senior Platform Engineer, AWS £90k + bonus + equity + benefits, Remote (UK) Our scale-up digital marketplace client is looking for a hands-on Senior Platform Engineer to join a growing team, working directly with the Head of Platforms to build and scale a modern AWS environment. This is a great opportunity for someone who enjoys owning infrastructure, solving real engineering problems, and working across the full platform life cycle in a lean, high-impact environment. The role Building and operating AWS infrastructure Leading cloud migrations and platform improvements Writing Infrastructure as Code (Terraform, Pulumi, or OpenTofu) Improving monitoring & observability (Datadog) Developing CI/CD pipelines (GitHub, CircleCI) Supporting engineers with deployments and new services What we're looking for Strong Platform Engineering experience Deep AWS knowledge Infrastructure as Code expertise Python Scripting skills CI/CD experience (GitHub, CircleCI) Comfortable working in a fast-moving, evolving environment Nice to have Background in Back End/software engineering Experience in scaling organisations Location: Remote (UK-based, quarterly meetups) Sound like you? Please get in touch.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
AV Engineer London (on-site) Up to £37k + benefits An exciting opportunity for an AV Engineer to join a well-established organisation with a growing, multi-site presence across London and Europe. The business is investing in building an in-house AV capability, offering a great opportunity to play a key role in shaping and delivering AV services across a high-quality estate. The Opportunity you'll be hands-on across installations, upgrades, and ongoing support, working closely with IT and operational teams to ensure a seamless AV experience. This role offers a strong mix of project work and day-to-day support, with real ownership and visibility. What you'll Be Doing Install, configure, and commission AV systems across meeting rooms and shared spaces Deliver AV upgrades, refresh programmes, and minor works Troubleshoot and resolve AV issues both on-site and remotely Carry out site surveys, cabling, and equipment installations Support AV fit-outs and integrations Maintain and optimise sound systems Provide guidance and support to end users Ensure accurate documentation of installations and assets What We re Looking For 2+ years AV installation and support experience Experience within commercial environments (offices, collaboration spaces) Exposure to technologies such as Yealink, Logitech, Bose, or similar Strong understanding of AV cabling, mounting, and installation standards Basic networking knowledge (IP Addressing, VLANs, PoE) Comfortable supporting non-technical users This is a great opportunity to join a business where AV is a growing and valued function, with the chance to make a real impact. If this sounds of interest, please apply or get in touch for a confidential discussion.
May 20, 2026
Full time
AV Engineer London (on-site) Up to £37k + benefits An exciting opportunity for an AV Engineer to join a well-established organisation with a growing, multi-site presence across London and Europe. The business is investing in building an in-house AV capability, offering a great opportunity to play a key role in shaping and delivering AV services across a high-quality estate. The Opportunity you'll be hands-on across installations, upgrades, and ongoing support, working closely with IT and operational teams to ensure a seamless AV experience. This role offers a strong mix of project work and day-to-day support, with real ownership and visibility. What you'll Be Doing Install, configure, and commission AV systems across meeting rooms and shared spaces Deliver AV upgrades, refresh programmes, and minor works Troubleshoot and resolve AV issues both on-site and remotely Carry out site surveys, cabling, and equipment installations Support AV fit-outs and integrations Maintain and optimise sound systems Provide guidance and support to end users Ensure accurate documentation of installations and assets What We re Looking For 2+ years AV installation and support experience Experience within commercial environments (offices, collaboration spaces) Exposure to technologies such as Yealink, Logitech, Bose, or similar Strong understanding of AV cabling, mounting, and installation standards Basic networking knowledge (IP Addressing, VLANs, PoE) Comfortable supporting non-technical users This is a great opportunity to join a business where AV is a growing and valued function, with the chance to make a real impact. If this sounds of interest, please apply or get in touch for a confidential discussion.
AWS Technical Architect - AWS, Active SC & NPPV3 Up to £595 per day - Inside IR35 Primarily Remote 12 months My client is an instantly recognisable consultancy who require an AWS Technical Architect with Active SC & NPPV3 Clearance. Key Requirements: Proven commercial experience working as an AWS Technical Architect within the Public Sector. Active SC & NPPV3 Clearance. Extensive experience designing and operating enterprise-scale, multi-account AWS environments with deep knowledge of core services (eg VPC, IAM, EC2, EKS/ECS, Lambda, S3, RDS). Proven ability to build landing zones, shared services, guardrails, and apply AWS Well-Architected Framework principles (security, reliability, performance, cost). Strong experience delivering secure cloud architectures in regulated environments, including IAM, network segmentation, monitoring, and governance-by-design approaches. Solid background in agile/DevOps environments with expertise in Infrastructure as Code (CloudFormation, Terraform) and automation-led delivery. Ability to ensure operational readiness, platform resilience, and support on-call/out-of-hours models. Strong stakeholder management, ability to lead architectural decisions, clearly communicate complex concepts, and mentor engineers and architects. Nice to have: Immediate availability. 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 on our website.
May 20, 2026
Contractor
AWS Technical Architect - AWS, Active SC & NPPV3 Up to £595 per day - Inside IR35 Primarily Remote 12 months My client is an instantly recognisable consultancy who require an AWS Technical Architect with Active SC & NPPV3 Clearance. Key Requirements: Proven commercial experience working as an AWS Technical Architect within the Public Sector. Active SC & NPPV3 Clearance. Extensive experience designing and operating enterprise-scale, multi-account AWS environments with deep knowledge of core services (eg VPC, IAM, EC2, EKS/ECS, Lambda, S3, RDS). Proven ability to build landing zones, shared services, guardrails, and apply AWS Well-Architected Framework principles (security, reliability, performance, cost). Strong experience delivering secure cloud architectures in regulated environments, including IAM, network segmentation, monitoring, and governance-by-design approaches. Solid background in agile/DevOps environments with expertise in Infrastructure as Code (CloudFormation, Terraform) and automation-led delivery. Ability to ensure operational readiness, platform resilience, and support on-call/out-of-hours models. Strong stakeholder management, ability to lead architectural decisions, clearly communicate complex concepts, and mentor engineers and architects. Nice to have: Immediate availability. 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 on our website.
Job Title: Cybersecurity Operations Manager Job Description We are seeking an experienced Cybersecurity Operations Manager to provide interim leadership and operational stability for a global cybersecurity operations capability based in Mexico City. This contractor role will ensure continuity of service while supporting the recruitment, onboarding, and transition to a permanent hire. The successful candidate will lead site operations, maintain high-performance service delivery, and enable a seamless handover. Responsibilities Provide operational leadership and stability for the Cybersecurity Operations function during the interim period. Support the end-to-end recruitment process for the permanent Cybersecurity Operations Manager, including role definition and refinement, interview panel participation, and candidate assessment input. Develop and maintain a structured transition plan, including documentation and operating rhythms, stakeholder transfer and handover activities. Coach and enable local leadership to reduce dependency on key individuals. Lead and manage a team of 40-50 cybersecurity professionals, delivering global cyber defence services. Ensure seamless collaboration with global counterparts to maintain 24/7/365 operational coverage within a follow-the-Sun model. Oversee the detection, management, and response to cybersecurity and information security incidents during active operational hours. Manage end-of-shift handovers to ensure continuity between global sites. Drive efficiency and effectiveness across all cybersecurity operations service lines, including monitoring & threat detection, incident management & response, information protection & response, sustainable operations, and cyber intelligence & threat analysis. Maintain an up-to-date, intelligence-led understanding of the threat landscape to anticipate risks and enable proactive response strategies. Collaborate with engineering and technology teams to ensure supporting platforms remain fit for purpose. Identify opportunities to automate and orchestrate processes to improve operational efficiency. Reduce false positives/negatives by optimizing workflows and detection capabilities. Lead the development and continuous improvement of monitoring use cases, alerting strategies, and incident response playbooks. Partner with internal cybersecurity, technology, and business stakeholders to deliver effective security operations. Communicate clearly across technical and non-technical audiences, aligning global strategy with local execution. Build strong cross-functional relationships to enhance security posture and operational resilience. Champion a culture of continuous improvement and accountability, identifying and addressing gaps in people, process, and technology. Foster an environment of learning, development, and technical excellence. Participate in leadership forums, representing operational teams and contributing to strategic decision-making. Develop and deliver meaningful, data-driven Management Information (MI) to support decision-making. Ensure alignment with risk management frameworks and maintain transparency across stakeholders. Drive performance through clear metrics, reporting, and operational insights. Support the ongoing development and maturity of global cybersecurity operations capabilities. Drive operational strategy, change initiatives, and continuous improvement efforts. Deliver sustainable business outcomes aligned with organisational security objectives. Promote innovation and forward-thinking practices to address evolving cybersecurity threats. Essential Skills Proven experience managing large-scale cybersecurity operations teams (40-50 FTE). Strong expertise in Security operations (SOC), incident detection and response, and threat intelligence and analysis. experience operating within global, 24/7 service delivery models. Demonstrated ability to lead operational transformation, automation, and process improvement initiatives. Strong stakeholder management and communication skills across technical and business audiences. Strategic thinker with the ability to operate effectively under pressure. This role will require travel to Mexico for 90 days at a time for the duration of the 12 month contract Expenses will be covered An ability to speak Spanish will be advantageous for this role Location Sheffield, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
May 20, 2026
Contractor
Job Title: Cybersecurity Operations Manager Job Description We are seeking an experienced Cybersecurity Operations Manager to provide interim leadership and operational stability for a global cybersecurity operations capability based in Mexico City. This contractor role will ensure continuity of service while supporting the recruitment, onboarding, and transition to a permanent hire. The successful candidate will lead site operations, maintain high-performance service delivery, and enable a seamless handover. Responsibilities Provide operational leadership and stability for the Cybersecurity Operations function during the interim period. Support the end-to-end recruitment process for the permanent Cybersecurity Operations Manager, including role definition and refinement, interview panel participation, and candidate assessment input. Develop and maintain a structured transition plan, including documentation and operating rhythms, stakeholder transfer and handover activities. Coach and enable local leadership to reduce dependency on key individuals. Lead and manage a team of 40-50 cybersecurity professionals, delivering global cyber defence services. Ensure seamless collaboration with global counterparts to maintain 24/7/365 operational coverage within a follow-the-Sun model. Oversee the detection, management, and response to cybersecurity and information security incidents during active operational hours. Manage end-of-shift handovers to ensure continuity between global sites. Drive efficiency and effectiveness across all cybersecurity operations service lines, including monitoring & threat detection, incident management & response, information protection & response, sustainable operations, and cyber intelligence & threat analysis. Maintain an up-to-date, intelligence-led understanding of the threat landscape to anticipate risks and enable proactive response strategies. Collaborate with engineering and technology teams to ensure supporting platforms remain fit for purpose. Identify opportunities to automate and orchestrate processes to improve operational efficiency. Reduce false positives/negatives by optimizing workflows and detection capabilities. Lead the development and continuous improvement of monitoring use cases, alerting strategies, and incident response playbooks. Partner with internal cybersecurity, technology, and business stakeholders to deliver effective security operations. Communicate clearly across technical and non-technical audiences, aligning global strategy with local execution. Build strong cross-functional relationships to enhance security posture and operational resilience. Champion a culture of continuous improvement and accountability, identifying and addressing gaps in people, process, and technology. Foster an environment of learning, development, and technical excellence. Participate in leadership forums, representing operational teams and contributing to strategic decision-making. Develop and deliver meaningful, data-driven Management Information (MI) to support decision-making. Ensure alignment with risk management frameworks and maintain transparency across stakeholders. Drive performance through clear metrics, reporting, and operational insights. Support the ongoing development and maturity of global cybersecurity operations capabilities. Drive operational strategy, change initiatives, and continuous improvement efforts. Deliver sustainable business outcomes aligned with organisational security objectives. Promote innovation and forward-thinking practices to address evolving cybersecurity threats. Essential Skills Proven experience managing large-scale cybersecurity operations teams (40-50 FTE). Strong expertise in Security operations (SOC), incident detection and response, and threat intelligence and analysis. experience operating within global, 24/7 service delivery models. Demonstrated ability to lead operational transformation, automation, and process improvement initiatives. Strong stakeholder management and communication skills across technical and business audiences. Strategic thinker with the ability to operate effectively under pressure. This role will require travel to Mexico for 90 days at a time for the duration of the 12 month contract Expenses will be covered An ability to speak Spanish will be advantageous for this role Location Sheffield, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
SC Security Cleared Cloud/Azure Platform Owner, Product Manager, Governance Manager -Agile- is required by our government client based in London, or Milton Keynes. Hybrid working. Due to the urgency of the role, a current SC or DV (Developed Vetting) is required (or you will be eligible). To provide strategic product leadership, governance oversight, and financial stewardship for the organisation's Azure tenant. Essential Skills/Experience experience of Agile ways of working Clear understanding of Azure governance constructs: landing zones, management groups, RBAC, policy, blueprints, tagging, subscription management, resource life cycle. Strong working knowledge of cloud financial management, Azure cost models, consumption insights, and budget governance controls. High proficiency in risk management, including identification, assessment, control strategies, and governance escalation routes. Strong product management skills in backlog refinement, prioritisation, and roadmap creation within DDAT frameworks. Ability to interpret technical, security, and operational input and convert it into policy, governance rules, or product decisions. Familiarity with FinOps principles, shared responsibility models, and cloud operating models. Strong stakeholder engagement capability, especially across engineering, architecture, security, and senior governance bodies. The role ensures that Azure services are used securely, responsibly, and cost effectively, through strong guardrails, policies, life cycle management, and data driven decision-making. Acting as the authoritative owner of Azure governance products and frameworks, the role safeguards the tenant, optimises spend, and ensures alignment with organisational and cloud operating model standards. SmartSourcing are a Disability Confident Employer and we promote, celebrate and value diversity, we are committed to promoting equality and inclusion for all.
May 20, 2026
Contractor
SC Security Cleared Cloud/Azure Platform Owner, Product Manager, Governance Manager -Agile- is required by our government client based in London, or Milton Keynes. Hybrid working. Due to the urgency of the role, a current SC or DV (Developed Vetting) is required (or you will be eligible). To provide strategic product leadership, governance oversight, and financial stewardship for the organisation's Azure tenant. Essential Skills/Experience experience of Agile ways of working Clear understanding of Azure governance constructs: landing zones, management groups, RBAC, policy, blueprints, tagging, subscription management, resource life cycle. Strong working knowledge of cloud financial management, Azure cost models, consumption insights, and budget governance controls. High proficiency in risk management, including identification, assessment, control strategies, and governance escalation routes. Strong product management skills in backlog refinement, prioritisation, and roadmap creation within DDAT frameworks. Ability to interpret technical, security, and operational input and convert it into policy, governance rules, or product decisions. Familiarity with FinOps principles, shared responsibility models, and cloud operating models. Strong stakeholder engagement capability, especially across engineering, architecture, security, and senior governance bodies. The role ensures that Azure services are used securely, responsibly, and cost effectively, through strong guardrails, policies, life cycle management, and data driven decision-making. Acting as the authoritative owner of Azure governance products and frameworks, the role safeguards the tenant, optimises spend, and ensures alignment with organisational and cloud operating model standards. SmartSourcing are a Disability Confident Employer and we promote, celebrate and value diversity, we are committed to promoting equality and inclusion for all.
