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.
08/06/2026
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.
Job Title: Principal Software Engineer, AI Innovation Career Architecture Role: Software Engineer Career Architecture Tier: E35 (Principal, Expert Track) Job Summary This is a founding engineer role in a new, innovation-focused team being built from scratch within Pearson's Enterprise Innovation function. The mission of the team is to drive early stage, high-impact innovation initiatives: solving customer problems, supporting strategic deals, and co innovating with external partners. You will lead the design and delivery of advanced AI solutions, collaborate with partners and product leaders to co innovate, assess technical feasibility, and drive architecture decisions for high impact, ambiguous, early stage projects. Key Responsibilities Partner with internal and external stakeholders to identify, assess, and co develop AI driven innovation opportunities. Shape and prototype early stage ideas, taking undefined problems and helping define what gets built. Lead technical feasibility reviews and shape architecture for enterprise scale AI initiatives. Decide how projects are executed - whether built internally, handed off to partners, or scaled through dedicated delivery teams - and drive that execution. Build and prototype across the full stack, using modern tools and infrastructure. Guide multiple engineering squads, ensuring execution of the co innovation strategy and measurable business impact. Collaborate closely with UX and Product to deliver differentiated, cross functional solutions. Required Skills and Competencies Artificial Intelligence, Machine Learning, Automated AI (AutoAI), AI Agents (Advanced): Architect and deliver innovative AI solutions. Full Stack Engineering, Modern Development Tools (Advanced): Build and prototype end to end across frontend, backend, and infrastructure. Cloud Computing, API Management, DevOps, Data Security, Information Security (Advanced): Lead technical execution and ensure compliance. Collaboration, Innovation, Cross Functional Working, Technical Acumen, Problem Solving (Advanced): Influence across teams and partners, shape ideas, and drive differentiated solutions. Comfort with Ambiguity, Builder Mindset (Advanced): Operate effectively in undefined, fast moving, early stage environments. Learning to Learn, Adaptability, Ethical Responsibility (Effective-Advanced): Embrace new technologies and maintain high ethical standards. Qualifications (Education & Experience) Extensive experience in software engineering and AI innovation, with a broad full stack skillset. Proven track record of working on early stage or 0 1 products, shaping direction rather than only executing defined requirements. Demonstrated ability to thrive in ambiguity and collaborate cross functionally with UX, Product, and external partners. Proven track record in partner co development and technical delivery. Deep expertise in software architecture, cloud, and emerging AI technologies. A career history showing adaptability across products or problem spaces.
08/06/2026
Full time
Job Title: Principal Software Engineer, AI Innovation Career Architecture Role: Software Engineer Career Architecture Tier: E35 (Principal, Expert Track) Job Summary This is a founding engineer role in a new, innovation-focused team being built from scratch within Pearson's Enterprise Innovation function. The mission of the team is to drive early stage, high-impact innovation initiatives: solving customer problems, supporting strategic deals, and co innovating with external partners. You will lead the design and delivery of advanced AI solutions, collaborate with partners and product leaders to co innovate, assess technical feasibility, and drive architecture decisions for high impact, ambiguous, early stage projects. Key Responsibilities Partner with internal and external stakeholders to identify, assess, and co develop AI driven innovation opportunities. Shape and prototype early stage ideas, taking undefined problems and helping define what gets built. Lead technical feasibility reviews and shape architecture for enterprise scale AI initiatives. Decide how projects are executed - whether built internally, handed off to partners, or scaled through dedicated delivery teams - and drive that execution. Build and prototype across the full stack, using modern tools and infrastructure. Guide multiple engineering squads, ensuring execution of the co innovation strategy and measurable business impact. Collaborate closely with UX and Product to deliver differentiated, cross functional solutions. Required Skills and Competencies Artificial Intelligence, Machine Learning, Automated AI (AutoAI), AI Agents (Advanced): Architect and deliver innovative AI solutions. Full Stack Engineering, Modern Development Tools (Advanced): Build and prototype end to end across frontend, backend, and infrastructure. Cloud Computing, API Management, DevOps, Data Security, Information Security (Advanced): Lead technical execution and ensure compliance. Collaboration, Innovation, Cross Functional Working, Technical Acumen, Problem Solving (Advanced): Influence across teams and partners, shape ideas, and drive differentiated solutions. Comfort with Ambiguity, Builder Mindset (Advanced): Operate effectively in undefined, fast moving, early stage environments. Learning to Learn, Adaptability, Ethical Responsibility (Effective-Advanced): Embrace new technologies and maintain high ethical standards. Qualifications (Education & Experience) Extensive experience in software engineering and AI innovation, with a broad full stack skillset. Proven track record of working on early stage or 0 1 products, shaping direction rather than only executing defined requirements. Demonstrated ability to thrive in ambiguity and collaborate cross functionally with UX, Product, and external partners. Proven track record in partner co development and technical delivery. Deep expertise in software architecture, cloud, and emerging AI technologies. A career history showing adaptability across products or problem spaces.
Step into the role of a Principal Architect at JPMorganChase and become a driving force behind the development and adoption of cutting-edge technologies. As a Principal Architect at JPMorganChase within Prime Finance, you will focus on Technical Architecture, Agentic AI & Messaging Technologies and use this senior leadership role to promote the architectural vision, design, and implementation of complex, scalable, and secure technology solutions. This requires emphasis on advanced Agentic AI systems, expertise in message-based technologies (e.g., Kafka, AMPS), strong management skills to coordinate across global regions and multiple applications. Deep proficiency across multiple technologies including Java and Python, along with ability to work with both relational and NoSQL databases, including AWS equivalents, will be key in delivering best in class outcomes. Job Responsibilities Architectural leadership: Define and evolve enterprise architecture standards, patterns, and best practices. Strategy & vision: Partner with senior stakeholders to shape technology and AI strategy aligned to business goals and scalability. Agentic AI integration: Architect and implement autonomous AI workflows that can act, decide, and adapt in changing environments. Solution design: Lead design/review of mission-critical platforms (message-based, data-centric and growing AI approach) for security, robustness, and scale. Messaging technologies: Design and optimize high-throughput, low-latency messaging (e.g., Kafka, AMPS) for reliable distributed communication. Database architecture: Architect relational and NoSQL data stores (e.g., Oracle/RDS, MongoDB/DynamoDB) for integrity, performance, and growth. Technical oversight: Guide teams on architectural adoption, engineering excellence, and code quality across core languages and platforms. Governance: Establish documentation, review processes, and compliance controls for AI, messaging, and data systems. Risk management: Identify and mitigate technical and AI risks; build resilient and reliable systems. Global coordination & collaboration: Align product, business, and operations across regions to translate requirements into deliverable solutions. Portfolio, stakeholders & change: Drive application harmonization/integration, manage stakeholder alignment, and champion adoption of standards across geographies. Required Qualifications, Capabilities, and Skills Bachelor's or Master's degree in Computer Science, Engineering, or related field. Applied experience in software engineering, with recent experience in a technical architecture leadership role. Proven track record of designing and delivering large-scale, distributed systems in a complex enterprise environment. Deep expertise in architectural frameworks, cloud platforms (AWS, Azure, GCP), microservices, APIs, and security. Strong understanding of DevOps, CI/CD, and modern software development methodologies. Demonstrated experience with Agentic AI systems, autonomous agents, and advanced machine learning frameworks. Extensive hands-on experience with message-based technologies such as Apache Kafka and AMPS, including design, deployment, and optimization. Advanced proficiency in Java and Python, including architectural design, development, and code review in both languages. Strong experience with relational databases (e.g., Oracle, Amazon RDS) and NoSQL databases (e.g., MongoDB, AWS DynamoDB), including schema design, performance tuning, and data modeling. Experience managing and coordinating technology initiatives across multiple regions and applications. Expertise with data architecture and event driven architecture. Excellent communication, stakeholder management, and leadership skills. Preferred Qualifications, Capabilities, and Skills Expertise with the Prime Finance or Securities Lending business domain Experience with regulatory and compliance requirements in financial services UI experience in React JS
08/06/2026
Full time
Step into the role of a Principal Architect at JPMorganChase and become a driving force behind the development and adoption of cutting-edge technologies. As a Principal Architect at JPMorganChase within Prime Finance, you will focus on Technical Architecture, Agentic AI & Messaging Technologies and use this senior leadership role to promote the architectural vision, design, and implementation of complex, scalable, and secure technology solutions. This requires emphasis on advanced Agentic AI systems, expertise in message-based technologies (e.g., Kafka, AMPS), strong management skills to coordinate across global regions and multiple applications. Deep proficiency across multiple technologies including Java and Python, along with ability to work with both relational and NoSQL databases, including AWS equivalents, will be key in delivering best in class outcomes. Job Responsibilities Architectural leadership: Define and evolve enterprise architecture standards, patterns, and best practices. Strategy & vision: Partner with senior stakeholders to shape technology and AI strategy aligned to business goals and scalability. Agentic AI integration: Architect and implement autonomous AI workflows that can act, decide, and adapt in changing environments. Solution design: Lead design/review of mission-critical platforms (message-based, data-centric and growing AI approach) for security, robustness, and scale. Messaging technologies: Design and optimize high-throughput, low-latency messaging (e.g., Kafka, AMPS) for reliable distributed communication. Database architecture: Architect relational and NoSQL data stores (e.g., Oracle/RDS, MongoDB/DynamoDB) for integrity, performance, and growth. Technical oversight: Guide teams on architectural adoption, engineering excellence, and code quality across core languages and platforms. Governance: Establish documentation, review processes, and compliance controls for AI, messaging, and data systems. Risk management: Identify and mitigate technical and AI risks; build resilient and reliable systems. Global coordination & collaboration: Align product, business, and operations across regions to translate requirements into deliverable solutions. Portfolio, stakeholders & change: Drive application harmonization/integration, manage stakeholder alignment, and champion adoption of standards across geographies. Required Qualifications, Capabilities, and Skills Bachelor's or Master's degree in Computer Science, Engineering, or related field. Applied experience in software engineering, with recent experience in a technical architecture leadership role. Proven track record of designing and delivering large-scale, distributed systems in a complex enterprise environment. Deep expertise in architectural frameworks, cloud platforms (AWS, Azure, GCP), microservices, APIs, and security. Strong understanding of DevOps, CI/CD, and modern software development methodologies. Demonstrated experience with Agentic AI systems, autonomous agents, and advanced machine learning frameworks. Extensive hands-on experience with message-based technologies such as Apache Kafka and AMPS, including design, deployment, and optimization. Advanced proficiency in Java and Python, including architectural design, development, and code review in both languages. Strong experience with relational databases (e.g., Oracle, Amazon RDS) and NoSQL databases (e.g., MongoDB, AWS DynamoDB), including schema design, performance tuning, and data modeling. Experience managing and coordinating technology initiatives across multiple regions and applications. Expertise with data architecture and event driven architecture. Excellent communication, stakeholder management, and leadership skills. Preferred Qualifications, Capabilities, and Skills Expertise with the Prime Finance or Securities Lending business domain Experience with regulatory and compliance requirements in financial services UI experience in React JS
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.
08/06/2026
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.
08/06/2026
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.
08/06/2026
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.
08/06/2026
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.
08/06/2026
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.
08/06/2026
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.
08/06/2026
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.
08/06/2026
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.
08/06/2026
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.
Principal AI Strategy Consultant - Defence & National Security London, United Kingdom Posted on 06/04/2026 Job Description Principal AI Strategy Consultant - Defence & National Security Darter is hiring a Principal AI Strategy Consultant to lead AI strategy and implementation work across UK Defence and national security. You would join a small, senior team working directly with clients across the MOD, the Armed Forces, industry and the wider Defence enterprise. This is a senior role for someone with genuine AI fluency, strategic credibility and the confidence to advise senior military and civilian leaders on some of the most consequential technology questions facing UK Defence. You will need to hold, or be able to obtain, UK Security Clearance for this role. Darter is a remote first organisation with an office in Reading and clients around England. Expect a hybrid working style with travel every week. What you would do Lead AI strategy engagements across Defence and national security, from problem definition through to actionable roadmaps and investment decisions. Act as a trusted AI adviser to senior military, civil service and industry leaders - helping them understand what AI can and cannot do, and what good looks like. Shape AI programmes, including use case prioritisation, adoption strategies, governance frameworks, ethical risk considerations and operating model implications. Lead multidisciplinary teams through AI-enabled transformation, setting direction, maintaining quality and owning delivery outcomes. Produce and assure senior-quality briefings, reports, board papers, business cases and decision materials on AI topics. Translate complex AI concepts into clear, credible advice that survives scrutiny at the most senior levels. Identify and shape opportunities, contribute to Darter's growth and develop Darter's AI advisory propositions. Coach and develop consultants, helping them build sharper AI judgement and higher-quality client delivery. What it is like to work here Darter operates on the basis of trust, responsibility and high professional standards. Consultants work in small teams with direct exposure to senior colleagues and clients. The environment suits people who value autonomy, clear expectations, thoughtful challenge and accountability for the quality of their work. You will work alongside people with experience across Defence, national security, digital strategy, engineering, transformation, data and technology advisory. Our work predominantly goes directly to senior decision-makers, so clarity, credibility and precision matter. We are selective about the work we take on. We want to do work that is useful, ethical and genuinely connected to strengthening the UK's security, resilience and prosperity. Not ticked every box? If you bring much of what we describe and have the judgement to grow into the rest, we would still like to hear from you. This description outlines the shape of the role rather than a checklist. Adjustments or accommodations Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us. Requirements What we are looking for This role suits a senior consultant with strong AI knowledge and the strategic and interpersonal capability to lead complex advisory work in high-stakes environments. You do not need to be a hands-on AI developer or data scientist, but you must understand AI deeply enough to challenge assumptions, ask the right questions and give genuinely useful advice to people making serious decisions. At least six years of experience in technology strategy, digital transformation or advisory roles, with a significant focus on AI. Deep familiarity with the AI landscape - including large language models, machine learning, data infrastructure, responsible AI, procurement and deployment considerations - at a level that earns respect from both technical and non-technical audiences. Credibility in Defence, national security, government or similarly complex, high-stakes environments. Experience shaping AI strategies, including use case identification, prioritisation frameworks, governance design and adoption planning. A practical understanding of the risks, limitations and organisational challenges of AI adoption - not just the opportunities. Strong consulting fundamentals, including structured problem-solving, stakeholder engagement, facilitation and the development of clear, actionable recommendations. The confidence and judgement to advise senior military and civilian leaders, including when to push back or slow down poor decisions. Commercial capability, including opportunity shaping and proposal development. Active UK Security Clearance or the ability to obtain it. What we offer Salary between £110,000 and £130,000, depending on experience. Pension matched up to 10%. Annual performance-based bonus. Share options. Unlimited holiday. Private health insurance, including dental and optical cover. Dedicated personal development budget and protected learning time. Flexible, remote-first working, with in-person time when it matters. Time off for volunteering and matched charity donations. Regular team socials and offsites. A trusting, high-standards culture where your judgement is respected.
07/06/2026
Full time
Principal AI Strategy Consultant - Defence & National Security London, United Kingdom Posted on 06/04/2026 Job Description Principal AI Strategy Consultant - Defence & National Security Darter is hiring a Principal AI Strategy Consultant to lead AI strategy and implementation work across UK Defence and national security. You would join a small, senior team working directly with clients across the MOD, the Armed Forces, industry and the wider Defence enterprise. This is a senior role for someone with genuine AI fluency, strategic credibility and the confidence to advise senior military and civilian leaders on some of the most consequential technology questions facing UK Defence. You will need to hold, or be able to obtain, UK Security Clearance for this role. Darter is a remote first organisation with an office in Reading and clients around England. Expect a hybrid working style with travel every week. What you would do Lead AI strategy engagements across Defence and national security, from problem definition through to actionable roadmaps and investment decisions. Act as a trusted AI adviser to senior military, civil service and industry leaders - helping them understand what AI can and cannot do, and what good looks like. Shape AI programmes, including use case prioritisation, adoption strategies, governance frameworks, ethical risk considerations and operating model implications. Lead multidisciplinary teams through AI-enabled transformation, setting direction, maintaining quality and owning delivery outcomes. Produce and assure senior-quality briefings, reports, board papers, business cases and decision materials on AI topics. Translate complex AI concepts into clear, credible advice that survives scrutiny at the most senior levels. Identify and shape opportunities, contribute to Darter's growth and develop Darter's AI advisory propositions. Coach and develop consultants, helping them build sharper AI judgement and higher-quality client delivery. What it is like to work here Darter operates on the basis of trust, responsibility and high professional standards. Consultants work in small teams with direct exposure to senior colleagues and clients. The environment suits people who value autonomy, clear expectations, thoughtful challenge and accountability for the quality of their work. You will work alongside people with experience across Defence, national security, digital strategy, engineering, transformation, data and technology advisory. Our work predominantly goes directly to senior decision-makers, so clarity, credibility and precision matter. We are selective about the work we take on. We want to do work that is useful, ethical and genuinely connected to strengthening the UK's security, resilience and prosperity. Not ticked every box? If you bring much of what we describe and have the judgement to grow into the rest, we would still like to hear from you. This description outlines the shape of the role rather than a checklist. Adjustments or accommodations Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us. Requirements What we are looking for This role suits a senior consultant with strong AI knowledge and the strategic and interpersonal capability to lead complex advisory work in high-stakes environments. You do not need to be a hands-on AI developer or data scientist, but you must understand AI deeply enough to challenge assumptions, ask the right questions and give genuinely useful advice to people making serious decisions. At least six years of experience in technology strategy, digital transformation or advisory roles, with a significant focus on AI. Deep familiarity with the AI landscape - including large language models, machine learning, data infrastructure, responsible AI, procurement and deployment considerations - at a level that earns respect from both technical and non-technical audiences. Credibility in Defence, national security, government or similarly complex, high-stakes environments. Experience shaping AI strategies, including use case identification, prioritisation frameworks, governance design and adoption planning. A practical understanding of the risks, limitations and organisational challenges of AI adoption - not just the opportunities. Strong consulting fundamentals, including structured problem-solving, stakeholder engagement, facilitation and the development of clear, actionable recommendations. The confidence and judgement to advise senior military and civilian leaders, including when to push back or slow down poor decisions. Commercial capability, including opportunity shaping and proposal development. Active UK Security Clearance or the ability to obtain it. What we offer Salary between £110,000 and £130,000, depending on experience. Pension matched up to 10%. Annual performance-based bonus. Share options. Unlimited holiday. Private health insurance, including dental and optical cover. Dedicated personal development budget and protected learning time. Flexible, remote-first working, with in-person time when it matters. Time off for volunteering and matched charity donations. Regular team socials and offsites. A trusting, high-standards culture where your judgement is respected.
PRINCIPAL AI CONSULTANT Remote role with travel to client sites as required Lead the delivery of enterprise-scale AI solutions for a growing consultancy Highly client-facing role with influence across strategy, architecture, and delivery Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies ABOUT THE CLIENT We're partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions. Due to continued growth, they are looking for a Principal AI Consultant to join the business and play a key role in shaping both client solutions and the wider AI capability. This is a highly consultative position suited to someone who is confident operating in client-facing environments and able to build trust quickly with senior stakeholders. THE BENEFITS Remote working with travel to client sites as required Opportunity to lead and grow a high-performing AI engineering team Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks Work across a broad range of industries and enterprise-scale projects Strong focus on learning, innovation, and career progression Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role requires someone who can simplify highly technical concepts, guide conversations with clarity, and create confidence amongst both technical and non-technical stakeholders. You will lead workshops, shape AI strategies, influence delivery decisions, and ensure solutions are scalable, secure, and commercially valuable. Alongside hands on engineering leadership, you will mentor teams, define best practices, and help grow the wider AI capability. The successful candidate will be someone who naturally puts stakeholders at ease, commands credibility in the room, and thrives in environments where communication and relationship building are just as important as technical expertise. PRINCIPAL AI CONSULTANT - ESSENTIAL SKILLS Previous experience working within a consultancy or client-facing environment Exceptional communication and stakeholder engagement skills Ability to influence and build trust with senior business and technical stakeholders Proven experience delivering AI solutions into production Strong Python/software engineering background Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms Strong understanding of MLOps, CI/CD, observability, and production AI delivery Experience leading engineering teams and mentoring technical professionals Ability to lead workshops, shape solutions, and support decision-making in complex environments TO BE CONSIDERED Please either apply through this advert or email me directly via . For further information please call me on / . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Consulting AI Engineering Stakeholder Management Python Azure AI Foundry Databricks MLOps AWS SageMaker Bedrock Machine Learning Cloud AI Strategy Technical Leadership
07/06/2026
Full time
PRINCIPAL AI CONSULTANT Remote role with travel to client sites as required Lead the delivery of enterprise-scale AI solutions for a growing consultancy Highly client-facing role with influence across strategy, architecture, and delivery Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies ABOUT THE CLIENT We're partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions. Due to continued growth, they are looking for a Principal AI Consultant to join the business and play a key role in shaping both client solutions and the wider AI capability. This is a highly consultative position suited to someone who is confident operating in client-facing environments and able to build trust quickly with senior stakeholders. THE BENEFITS Remote working with travel to client sites as required Opportunity to lead and grow a high-performing AI engineering team Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks Work across a broad range of industries and enterprise-scale projects Strong focus on learning, innovation, and career progression Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role requires someone who can simplify highly technical concepts, guide conversations with clarity, and create confidence amongst both technical and non-technical stakeholders. You will lead workshops, shape AI strategies, influence delivery decisions, and ensure solutions are scalable, secure, and commercially valuable. Alongside hands on engineering leadership, you will mentor teams, define best practices, and help grow the wider AI capability. The successful candidate will be someone who naturally puts stakeholders at ease, commands credibility in the room, and thrives in environments where communication and relationship building are just as important as technical expertise. PRINCIPAL AI CONSULTANT - ESSENTIAL SKILLS Previous experience working within a consultancy or client-facing environment Exceptional communication and stakeholder engagement skills Ability to influence and build trust with senior business and technical stakeholders Proven experience delivering AI solutions into production Strong Python/software engineering background Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms Strong understanding of MLOps, CI/CD, observability, and production AI delivery Experience leading engineering teams and mentoring technical professionals Ability to lead workshops, shape solutions, and support decision-making in complex environments TO BE CONSIDERED Please either apply through this advert or email me directly via . For further information please call me on / . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Consulting AI Engineering Stakeholder Management Python Azure AI Foundry Databricks MLOps AWS SageMaker Bedrock Machine Learning Cloud AI Strategy Technical Leadership
About Marshmallow We exist to make migration easy. A systemic problem of this magnitude requires a team of curious thinkers who relentlessly pursue solutions. Those who constantly challenge the why, dismantle assumptions, and always take action to build a better way. A Marshmallow career is built on a cycle of continuous growth, with learning at its core. You will be challenged to raise the bar on your capabilities and supported with the right tools and guidance to do so. This ensures you can deliver impactful work and drive change. Explore our Culture Handbook to find out more. Move our mission, and your career, forward. Data Science at Marshmallow Our Data Science team partners across the business to turn data into better decisions, smarter products, and simpler customer journeys. We work closely with Product, Engineering, and Operations to build and ship models and AI systems that are reliable in production and deliver measurable impact. Within Data Science, this role sits in Claims, supporting Claims Fraud and the broader ambition to automate more of the claims journey. Claims is one of Marshmallow's most important customer touchpoints, and we're looking for a Principal Data Scientist who can provide technical leadership across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions. What you'll be doing Provide technical leadership for data science across Claims Fraud, shaping the approach to risk decisioning and fraud detection in partnership with Product and Engineering Design, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automation Collaborate closely with other Claims data scientists to bring system-level thinking to how models, data and workflows fit together, identifying architectural improvements needed to scale decisioning and reduce time-to-production Be vocal about the platform and tooling investments needed (monitoring, feedback loops, QA) to achieve AI-driven end to end claims automation Advocate for robust, scalable, and strategically aligned technical solutions in cross-functional discussions, ensuring current systems and infrastructure contribute to the multi-year vision for automated claims handling Set a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholders Who You Are You think in systems: you can connect the dots between data science, engineering, and product to shape scalable solutions that build on each other over time. You're confident in challenging assumptions and pushing for the right approach, using strong communication skills to influence stakeholders across seniority levels and disciplines with clear, pragmatic reasoning. You thrive in ambiguity and change, staying resilient and effective during transitions while bringing structure, clarity, and momentum to complex problem spaces. You're motivated by real-world impact, partnering closely with cross functional teams to drive meaningful automation and better customer outcomes across the claims journey. What You'll Bring Significant commercial experience delivering end-to-end Machine Learning solutions, from problem framing and experimentation through to production deployment and ongoing monitoring Hands on experience building and shipping Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflows Strong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains) Proven ability to influence technical direction across Data Science and Engineering, including shaping scalable model/service integration patterns and challenging proposals to drive robust, long term solutions Strong stakeholder management skills, with confidence communicating trade offs and pushing back constructively with Product and Engineering to ensure high quality outcomes Perks of the job Flexible working : Spend three days a week with your team in our collaborative London office, and own your own working hours. The rest is up to you. Competitive bonus scheme - designed to reward and recognise high performance Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that's subscriptions, night classes, the big shop or a forest of houseplants. Pretty much anything goes. Mental wellbeing support - Access therapy and mental health sessions through Oliva Learning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches Medical cash plan - To help you with the costs of dental, optical and physio (plus more!) Tech scheme - Get the latest tech for less Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company wide socials every month! We are able to offer sponsorship and/or a visa for this position. Our process Initial call with a member from our Talent Team (30 mins) Past Experience interview with Hiring Manager (60 mins) Systems Design interview with a couple of the team (60 mins) Technical interview with a couple of the team (60 mins) Culture interview (60 mins) Background checks As part of our commitment to maintaining a safe and trustworthy environment, we'll carry out standard background checks, including a DBS and a Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. Feel free to ask our Talent Acquisition team if you have any questions about this! Everyone belongs at Marshmallow At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias. We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications. We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong. Recruitment privacy policy We take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it.
07/06/2026
Full time
About Marshmallow We exist to make migration easy. A systemic problem of this magnitude requires a team of curious thinkers who relentlessly pursue solutions. Those who constantly challenge the why, dismantle assumptions, and always take action to build a better way. A Marshmallow career is built on a cycle of continuous growth, with learning at its core. You will be challenged to raise the bar on your capabilities and supported with the right tools and guidance to do so. This ensures you can deliver impactful work and drive change. Explore our Culture Handbook to find out more. Move our mission, and your career, forward. Data Science at Marshmallow Our Data Science team partners across the business to turn data into better decisions, smarter products, and simpler customer journeys. We work closely with Product, Engineering, and Operations to build and ship models and AI systems that are reliable in production and deliver measurable impact. Within Data Science, this role sits in Claims, supporting Claims Fraud and the broader ambition to automate more of the claims journey. Claims is one of Marshmallow's most important customer touchpoints, and we're looking for a Principal Data Scientist who can provide technical leadership across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions. What you'll be doing Provide technical leadership for data science across Claims Fraud, shaping the approach to risk decisioning and fraud detection in partnership with Product and Engineering Design, build and iterate on production ML and Generative AI/LLM systems that support claims validation and automation Collaborate closely with other Claims data scientists to bring system-level thinking to how models, data and workflows fit together, identifying architectural improvements needed to scale decisioning and reduce time-to-production Be vocal about the platform and tooling investments needed (monitoring, feedback loops, QA) to achieve AI-driven end to end claims automation Advocate for robust, scalable, and strategically aligned technical solutions in cross-functional discussions, ensuring current systems and infrastructure contribute to the multi-year vision for automated claims handling Set a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholders Who You Are You think in systems: you can connect the dots between data science, engineering, and product to shape scalable solutions that build on each other over time. You're confident in challenging assumptions and pushing for the right approach, using strong communication skills to influence stakeholders across seniority levels and disciplines with clear, pragmatic reasoning. You thrive in ambiguity and change, staying resilient and effective during transitions while bringing structure, clarity, and momentum to complex problem spaces. You're motivated by real-world impact, partnering closely with cross functional teams to drive meaningful automation and better customer outcomes across the claims journey. What You'll Bring Significant commercial experience delivering end-to-end Machine Learning solutions, from problem framing and experimentation through to production deployment and ongoing monitoring Hands on experience building and shipping Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflows Strong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains) Proven ability to influence technical direction across Data Science and Engineering, including shaping scalable model/service integration patterns and challenging proposals to drive robust, long term solutions Strong stakeholder management skills, with confidence communicating trade offs and pushing back constructively with Product and Engineering to ensure high quality outcomes Perks of the job Flexible working : Spend three days a week with your team in our collaborative London office, and own your own working hours. The rest is up to you. Competitive bonus scheme - designed to reward and recognise high performance Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that's subscriptions, night classes, the big shop or a forest of houseplants. Pretty much anything goes. Mental wellbeing support - Access therapy and mental health sessions through Oliva Learning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches Medical cash plan - To help you with the costs of dental, optical and physio (plus more!) Tech scheme - Get the latest tech for less Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company wide socials every month! We are able to offer sponsorship and/or a visa for this position. Our process Initial call with a member from our Talent Team (30 mins) Past Experience interview with Hiring Manager (60 mins) Systems Design interview with a couple of the team (60 mins) Technical interview with a couple of the team (60 mins) Culture interview (60 mins) Background checks As part of our commitment to maintaining a safe and trustworthy environment, we'll carry out standard background checks, including a DBS and a Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. Feel free to ask our Talent Acquisition team if you have any questions about this! Everyone belongs at Marshmallow At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias. We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications. We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong. Recruitment privacy policy We take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view it.
Overview As a Principal Engineer at M&S, you'll play a critical role in shaping our technical direction and delivering against our strategic goals. Acting as a senior technical leader, you'll drive engineering excellence, influence architecture, and align technology decisions with business priorities. You'll join our Personalisation product group, responsible for delivering on-site and in-app personalisation, search, and recommendation capabilities. This includes some of our most innovative customer experiences, such as 1:1 personalised search and AI-powered styling. Working within highly cross functional teams spanning engineering, data science, product, and design, you'll help deliver our vision of making every M&S digital experience feel tailored to the individual customer. What's In It For You Being a part of M&S is exactly that - playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us. Here are some of the benefits we offer that make working for M&S just that little bit more special After completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third party brands for you and a member of your household. Competitive holiday entitlement with the potential to buy extra holiday days! Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business. A generous Defined Contribution Pension Scheme and Life Assurance. A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills. Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing. Industry leading parental, adoption and neonatal policies, providing support and flexibility for your family. Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family. A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work. What you'll be doing Define and drive technical strategy, architecture, and engineering standards across the Personalisation domain Design and deliver scalable systems supporting personalisation, search, recommendations, and ML powered features Partner closely with Product, Data Science, and Design to deliver customer centric solutions Lead and influence technical decision making across multiple teams and platforms Mentor and support senior engineers, helping to raise the overall engineering capability Improve engineering quality, reliability, and productivity through best practices, tooling, and platform enhancements Who you are An experienced technical leader with a strong background in Java/Python and large scale production systems Strong experience working with Machine Learning systems and collaborating with Data Science teams Skilled in system design and architecture, with the ability to deliver scalable, high quality solutions Comfortable working across cross functional environments with multiple stakeholders Passionate about growing others and driving engineering excellence A strong communicator who can influence technical and business decisions at all levels Everyone's Welcome We are ambitious about the future of retail. We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
06/06/2026
Full time
Overview As a Principal Engineer at M&S, you'll play a critical role in shaping our technical direction and delivering against our strategic goals. Acting as a senior technical leader, you'll drive engineering excellence, influence architecture, and align technology decisions with business priorities. You'll join our Personalisation product group, responsible for delivering on-site and in-app personalisation, search, and recommendation capabilities. This includes some of our most innovative customer experiences, such as 1:1 personalised search and AI-powered styling. Working within highly cross functional teams spanning engineering, data science, product, and design, you'll help deliver our vision of making every M&S digital experience feel tailored to the individual customer. What's In It For You Being a part of M&S is exactly that - playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us. Here are some of the benefits we offer that make working for M&S just that little bit more special After completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third party brands for you and a member of your household. Competitive holiday entitlement with the potential to buy extra holiday days! Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business. A generous Defined Contribution Pension Scheme and Life Assurance. A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills. Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing. Industry leading parental, adoption and neonatal policies, providing support and flexibility for your family. Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family. A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work. What you'll be doing Define and drive technical strategy, architecture, and engineering standards across the Personalisation domain Design and deliver scalable systems supporting personalisation, search, recommendations, and ML powered features Partner closely with Product, Data Science, and Design to deliver customer centric solutions Lead and influence technical decision making across multiple teams and platforms Mentor and support senior engineers, helping to raise the overall engineering capability Improve engineering quality, reliability, and productivity through best practices, tooling, and platform enhancements Who you are An experienced technical leader with a strong background in Java/Python and large scale production systems Strong experience working with Machine Learning systems and collaborating with Data Science teams Skilled in system design and architecture, with the ability to deliver scalable, high quality solutions Comfortable working across cross functional environments with multiple stakeholders Passionate about growing others and driving engineering excellence A strong communicator who can influence technical and business decisions at all levels Everyone's Welcome We are ambitious about the future of retail. We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen. We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
Marks & Spencer Plc is seeking a Principal Engineer to shape our technical direction in the Personalisation product group. This role involves designing scalable systems for personalisation, search, and AI-powered features while driving engineering standards and collaborating closely with cross-functional teams. The ideal candidate will have a strong technical background in Java and Python, with a focus on machine learning and system design. Join us in transforming how we deliver tailored digital experiences to our customers.
06/06/2026
Full time
Marks & Spencer Plc is seeking a Principal Engineer to shape our technical direction in the Personalisation product group. This role involves designing scalable systems for personalisation, search, and AI-powered features while driving engineering standards and collaborating closely with cross-functional teams. The ideal candidate will have a strong technical background in Java and Python, with a focus on machine learning and system design. Join us in transforming how we deliver tailored digital experiences to our customers.
IAM & AI Engineer (Identity and Access Management) Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Permanent Business area: Sainsbury's Tech Closing date: 10 June 2026 Requisition ID: We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. Think about the scale it takes for us to feed the nation. The level of data, transactions and variety it involves. Then you'll realise that ours is a modern software engineering environment because it has to be. We've made serious investment into a Tech Academy and into setting standards and principles. We iterate, learn, experiment and push ways of working such as Agile, Scrum and XP. So you can look forward to awesome opportunities in everything from AI to reusable tech. Identity and Access Management Engineer Practical experience in Identity & Access Management (IAM) principles including authentication, authorisation, Access control models (RBAC / ABAC / PBAC), identity lifecycle management (Joiners / Movers / Leavers) and an awareness of Zero Trust. Working knowledge of AI-driven or data-led initiatives within IAM or cybersecurity, with an understanding of how analytics can support identity security and governance. Ability to analyse identity telemetry (audit logs, sign-in logs, access data) to support investigations, identify trends, and contribute to operational and security improvements. Hands on experience with Microsoft Entra ID (Azure AD), including: User and group management (static and dynamic groups) Role assignments, service principals, and application registrations Familiarity with tenants, directories, objects, and attribute structures Supporting Conditional Access, SSPR, MFA, and passwordless authentication (e.g. Windows Hello for Business, FIDO2) Identity governance activities including Access reviews, Entitlement Management and access control models. MS and 3rd party Agentic AI agents governance and lifecycle management. Engineering experience in Active Directory: User and group management, OU structures, Group Policy Objects (GPOs) Basic LDAP knowledge Understanding of Hybrid identity integration (Azure AD Connect / Cloud Sync) Awareness of AD tiering concepts and disaster recovery principles Experience working with Identity Governance tooling such as Saviynt / SailPoint or any other similar product. Ability to define AI or identity analytics use cases, particularly in areas such as identity governance, lifecycle management, and access risk reduction. Awareness of the identity threat landscape and an understanding of how analytics or AI techniques can help detect and reduce identity based risks. Ability to work with the Engineering Manager, Product Manager, Stakeholders and senior engineers to deliver technical tasks and milestones aligned to agreed IAM roadmaps. Proven ability to work collaboratively with IT teams, product teams, security operations, and service partners to support secure IAM delivery and protect colleague and customer data. Exhibit excellent communication and presentation skills, able to convey complex issues and findings clearly and effectively. Demonstrates a strong technical and delivery focussed mindset, able to follow designs, apply sound engineering practices, and contribute to secure, scalable IAM solutions. Shows a commitment to continuous learning, staying current with identity, security, and AI developments, and applying new knowledge to improve IAM services. Additional Criteria Understanding of AI and machine learning concepts to analyse identity related data (e.g. sign in logs, access patterns, usage trends) Awareness of AI assisted automation use cases within IAM: Access or sign in anomaly detection Risk based access decisions Intelligent access reviews or entitlement recommendations Experience or familiarity with Microsoft security and analytics tools (e.g. Entra ID logs, Azure Monitor, Log Analytics, Sentinel). Awareness of ethical AI and responsible use of AI, especially in security sensitive and personal data contexts. Exposure to Privileged Access Management (PAM) solutions and role based privileged access (hands on experience beneficial but not essential) Understanding data governance, data quality, and information security principles, particularly where AI models consume identity data. Relevant professional certifications (or actively working towards), such as: Microsoft Identity or Security certifications AI / data analytics certifications CISSP, CISM, or equivalent (desirable) We are committed to being a truly inclusive retailer, so you'll be welcomed however you are and wherever you work. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury's every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well as access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).
06/06/2026
Full time
IAM & AI Engineer (Identity and Access Management) Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Permanent Business area: Sainsbury's Tech Closing date: 10 June 2026 Requisition ID: We'd all like amazing work to do, and real work-life balance. That's waiting for you at Sainsbury's. Think about the scale it takes for us to feed the nation. The level of data, transactions and variety it involves. Then you'll realise that ours is a modern software engineering environment because it has to be. We've made serious investment into a Tech Academy and into setting standards and principles. We iterate, learn, experiment and push ways of working such as Agile, Scrum and XP. So you can look forward to awesome opportunities in everything from AI to reusable tech. Identity and Access Management Engineer Practical experience in Identity & Access Management (IAM) principles including authentication, authorisation, Access control models (RBAC / ABAC / PBAC), identity lifecycle management (Joiners / Movers / Leavers) and an awareness of Zero Trust. Working knowledge of AI-driven or data-led initiatives within IAM or cybersecurity, with an understanding of how analytics can support identity security and governance. Ability to analyse identity telemetry (audit logs, sign-in logs, access data) to support investigations, identify trends, and contribute to operational and security improvements. Hands on experience with Microsoft Entra ID (Azure AD), including: User and group management (static and dynamic groups) Role assignments, service principals, and application registrations Familiarity with tenants, directories, objects, and attribute structures Supporting Conditional Access, SSPR, MFA, and passwordless authentication (e.g. Windows Hello for Business, FIDO2) Identity governance activities including Access reviews, Entitlement Management and access control models. MS and 3rd party Agentic AI agents governance and lifecycle management. Engineering experience in Active Directory: User and group management, OU structures, Group Policy Objects (GPOs) Basic LDAP knowledge Understanding of Hybrid identity integration (Azure AD Connect / Cloud Sync) Awareness of AD tiering concepts and disaster recovery principles Experience working with Identity Governance tooling such as Saviynt / SailPoint or any other similar product. Ability to define AI or identity analytics use cases, particularly in areas such as identity governance, lifecycle management, and access risk reduction. Awareness of the identity threat landscape and an understanding of how analytics or AI techniques can help detect and reduce identity based risks. Ability to work with the Engineering Manager, Product Manager, Stakeholders and senior engineers to deliver technical tasks and milestones aligned to agreed IAM roadmaps. Proven ability to work collaboratively with IT teams, product teams, security operations, and service partners to support secure IAM delivery and protect colleague and customer data. Exhibit excellent communication and presentation skills, able to convey complex issues and findings clearly and effectively. Demonstrates a strong technical and delivery focussed mindset, able to follow designs, apply sound engineering practices, and contribute to secure, scalable IAM solutions. Shows a commitment to continuous learning, staying current with identity, security, and AI developments, and applying new knowledge to improve IAM services. Additional Criteria Understanding of AI and machine learning concepts to analyse identity related data (e.g. sign in logs, access patterns, usage trends) Awareness of AI assisted automation use cases within IAM: Access or sign in anomaly detection Risk based access decisions Intelligent access reviews or entitlement recommendations Experience or familiarity with Microsoft security and analytics tools (e.g. Entra ID logs, Azure Monitor, Log Analytics, Sentinel). Awareness of ethical AI and responsible use of AI, especially in security sensitive and personal data contexts. Exposure to Privileged Access Management (PAM) solutions and role based privileged access (hands on experience beneficial but not essential) Understanding data governance, data quality, and information security principles, particularly where AI models consume identity data. Relevant professional certifications (or actively working towards), such as: Microsoft Identity or Security certifications AI / data analytics certifications CISSP, CISM, or equivalent (desirable) We are committed to being a truly inclusive retailer, so you'll be welcomed however you are and wherever you work. When you join our team, we'll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to get 10% off at Sainsbury's, Argos, TU and Habitat after 4 weeks. This increases to 15% off at Sainsbury's every Friday and Saturday and 15% off at Argos every pay day. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy additional holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, pay advance (where you can access some of your pay before pay day) as well as access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks' pay for maternity or adoption leave and up to 4 weeks' pay for paternity leave. Please see for a range of our benefits (note, length of service and eligibility criteria may apply).
UTA seeks a Principal AI Engineer to lead the design, development, and delivery of intelligent software systems that bring together enterprise application architecture, full-stack engineering, data science, and machine learning. In this highly visible, hands on leadership role, you will build and scale production grade platforms and AI enabled products that power critical workflows, decision making, automation, and business insight across the organization. The ideal candidate combines deep software engineering expertise with strong applied AI and data science capability, and has a proven ability to mentor engineers, shape technical direction, and partner cross functionally to turn complex business problems into scalable, secure, and reliable solutions. What You Will Do AI Engineering, Data Science & Intelligent Product Development Lead the design, development, and deployment of machine learning, statistical, and AI driven solutions that support automation, prediction, decision making, and personalization. Own end to end delivery of AI enabled products and services, from problem framing and data exploration through model development, application integration, deployment, and monitoring. Evaluate and implement appropriate approaches across machine learning, analytics, and natural language processing based on business needs and technical constraints. Partner with data and platform teams to build robust pipelines, reusable services, and scalable environments that support production AI workloads. Platform Engineering & Enterprise Architecture Design and develop scalable, secure, cloud native applications and backend services that integrate AI, data, and business workflows into enterprise platforms. Lead end to end full stack engineering across backend services and modern web applications, including APIs, data models, service integrations, and internal tools. Architect systems using modern cloud patterns such as microservices, event driven design, and managed services, ensuring reliability, observability, and scalability. Provide architectural leadership across integrations with enterprise systems and third party platforms. ML Ops, Reliability & Engineering Best Practices Productionize AI and machine learning solutions using modern ML Ops and software engineering practices. Establish standards for testing, deployment, observability, drift detection, retraining, and documentation. Drive quality, automation, and performance in systems where accuracy, resilience, and reliability are critical. Leadership, Mentorship & Execution Serve as a hands on technical leader and player coach, mentoring engineers while actively contributing to design and implementation. Help define technical strategy and roadmap priorities for AI, data, and application development. Lead execution of complex, cross functional initiatives and act as a senior escalation point for technical decisions and trade offs. Foster a culture of engineering excellence, accountability, and continuous improvement. Collaboration & Business Partnership Partner with Product, Engineering, Data, and business stakeholders to identify high value opportunities where AI and software can materially improve outcomes. Translate ambiguous business needs into clear technical solutions, communicating trade offs and risks effectively. Present complex technical work in a clear, actionable way to both technical and non technical audiences, including leadership. What You Will Need Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience; advanced degree is a plus. 10+ years of experience in software engineering, applied machine learning, data science, or related fields, including building and delivering production systems end to end. Strong hands on expertise in modern software engineering, including backend development, APIs, and scalable system design. Experience with full stack development, including modern frontend frameworks and service based architectures. Proficiency in Python and SQL, with experience in data manipulation, model development, and analytical workflows. Hands on experience with machine learning frameworks such as scikit learn, TensorFlow, PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices, and event driven architectures. Strong grounding in statistics, experimentation, and analytical methods. Experience deploying and maintaining production AI/ML systems, including monitoring and governance. Solid understanding of secure system design, data privacy, and enterprise engineering practices. Excellent communication skills with the ability to influence stakeholders at all levels. Proven experience mentoring engineers and leading through influence in a hands on environment. Experience in media, entertainment, or similarly fast paced industries is a plus. What You Will Get The unique and exciting opportunity to work at one of a leading global entertainment companies. Access to the tools, leadership, and resources you will need to create and drive a center of excellence. The opportunity to do the best work of your career. Work in an inclusive and diverse company culture. Competitive programs to support your well being. Experience working in a collaborative environment with room to grow. UTA and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers.
05/06/2026
Full time
UTA seeks a Principal AI Engineer to lead the design, development, and delivery of intelligent software systems that bring together enterprise application architecture, full-stack engineering, data science, and machine learning. In this highly visible, hands on leadership role, you will build and scale production grade platforms and AI enabled products that power critical workflows, decision making, automation, and business insight across the organization. The ideal candidate combines deep software engineering expertise with strong applied AI and data science capability, and has a proven ability to mentor engineers, shape technical direction, and partner cross functionally to turn complex business problems into scalable, secure, and reliable solutions. What You Will Do AI Engineering, Data Science & Intelligent Product Development Lead the design, development, and deployment of machine learning, statistical, and AI driven solutions that support automation, prediction, decision making, and personalization. Own end to end delivery of AI enabled products and services, from problem framing and data exploration through model development, application integration, deployment, and monitoring. Evaluate and implement appropriate approaches across machine learning, analytics, and natural language processing based on business needs and technical constraints. Partner with data and platform teams to build robust pipelines, reusable services, and scalable environments that support production AI workloads. Platform Engineering & Enterprise Architecture Design and develop scalable, secure, cloud native applications and backend services that integrate AI, data, and business workflows into enterprise platforms. Lead end to end full stack engineering across backend services and modern web applications, including APIs, data models, service integrations, and internal tools. Architect systems using modern cloud patterns such as microservices, event driven design, and managed services, ensuring reliability, observability, and scalability. Provide architectural leadership across integrations with enterprise systems and third party platforms. ML Ops, Reliability & Engineering Best Practices Productionize AI and machine learning solutions using modern ML Ops and software engineering practices. Establish standards for testing, deployment, observability, drift detection, retraining, and documentation. Drive quality, automation, and performance in systems where accuracy, resilience, and reliability are critical. Leadership, Mentorship & Execution Serve as a hands on technical leader and player coach, mentoring engineers while actively contributing to design and implementation. Help define technical strategy and roadmap priorities for AI, data, and application development. Lead execution of complex, cross functional initiatives and act as a senior escalation point for technical decisions and trade offs. Foster a culture of engineering excellence, accountability, and continuous improvement. Collaboration & Business Partnership Partner with Product, Engineering, Data, and business stakeholders to identify high value opportunities where AI and software can materially improve outcomes. Translate ambiguous business needs into clear technical solutions, communicating trade offs and risks effectively. Present complex technical work in a clear, actionable way to both technical and non technical audiences, including leadership. What You Will Need Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience; advanced degree is a plus. 10+ years of experience in software engineering, applied machine learning, data science, or related fields, including building and delivering production systems end to end. Strong hands on expertise in modern software engineering, including backend development, APIs, and scalable system design. Experience with full stack development, including modern frontend frameworks and service based architectures. Proficiency in Python and SQL, with experience in data manipulation, model development, and analytical workflows. Hands on experience with machine learning frameworks such as scikit learn, TensorFlow, PyTorch, or similar. Strong experience with cloud platforms (AWS, Azure, or GCP) and building cloud native systems. Experience with modern data platforms such as Snowflake, BigQuery, or Databricks. Familiarity with Infrastructure as Code, microservices, and event driven architectures. Strong grounding in statistics, experimentation, and analytical methods. Experience deploying and maintaining production AI/ML systems, including monitoring and governance. Solid understanding of secure system design, data privacy, and enterprise engineering practices. Excellent communication skills with the ability to influence stakeholders at all levels. Proven experience mentoring engineers and leading through influence in a hands on environment. Experience in media, entertainment, or similarly fast paced industries is a plus. What You Will Get The unique and exciting opportunity to work at one of a leading global entertainment companies. Access to the tools, leadership, and resources you will need to create and drive a center of excellence. The opportunity to do the best work of your career. Work in an inclusive and diverse company culture. Competitive programs to support your well being. Experience working in a collaborative environment with room to grow. UTA and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers.
United Talent Agency, LLC is seeking a Principal AI Engineer to spearhead the design and development of intelligent software systems. In this role, you will leverage your extensive experience in software engineering, machine learning, and data science to create AI-enabled solutions. The ideal candidate will have over 10 years of experience, strong mentoring skills, and a proven ability to partner cross-functionally. This is a hands-on leadership role offering the chance to drive impactful projects within a dynamic organization.
05/06/2026
Full time
United Talent Agency, LLC is seeking a Principal AI Engineer to spearhead the design and development of intelligent software systems. In this role, you will leverage your extensive experience in software engineering, machine learning, and data science to create AI-enabled solutions. The ideal candidate will have over 10 years of experience, strong mentoring skills, and a proven ability to partner cross-functionally. This is a hands-on leadership role offering the chance to drive impactful projects within a dynamic organization.
