—
Better content. 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 turn big ideas into the products, content and services millions of people love. Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast . Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects. Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data • Optimise relevance, latency, and response quality for interactive UI components • Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications • Contributes to system architecture, model selection, and deployment strategies • Participates in Scrum / agile process • Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production ~ Working experience and in-depth understanding of: • Large Language Models (LLMs) • Vector databases and semantic search • Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset • AWS Lambda best practices) • Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments PhD in related subjects ~ Extensive machine learning research background, including a cademic publications in ML- related conferences or journals From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. A generous pension package • Private healthcare • Discounted mobile and broadband • Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. 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: 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. 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. Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. We support our community and contribute to a sustainable future for our business and the planet. Just so you know: if your application is successful, we'll ask you to complete a criminal record check.
| Skill | Source | Confidence |
|---|---|---|
| Python | llm_hard |
100%
|
| Large Language Models (LLMs) | llm_hard |
100%
|
| RAG (Retrieval-Augmented Generation) | llm_hard |
100%
|
| Vector Databases | llm_hard |
100%
|
| Model Deployment | llm_hard |
80%
|
| MLOps | llm_hard |
80%
|
| Skill | Source | Confidence |
|---|---|---|
| Verbal Communication | llm_soft |
100%
|
| Written Communication | llm_soft |
100%
|
| Team Leadership | llm_soft |
100%
|
| Collaboration | llm_soft |
100%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Lead Machine Learning Engineer, Peacock | extracted | 3934 | 2026-03-22 03:09 | |
| Lead Machine Learning Engineer, Peacock | classified | 443 | 2026-03-21 21:13 | |
| junior deep learning engineer in London | gb | processed | 8628 | 2026-03-21 17:11 |
{
"job_id": "6PkYejXLq2CUW4w8AAAAAA==",
"job_city": null,
"job_state": null,
"job_title": "Lead Machine Learning Engineer, Peacock",
"job_salary": null,
"job_country": "GB",
"job_benefits": null,
"job_latitude": 51.5402631,
"job_location": "Dagenham",
"job_onet_soc": "15111100",
"apply_options": [
{
"is_direct": false,
"publisher": "Jooble",
"apply_link": "https://uk.jooble.org/rjdp/-3288781699796691797?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": null,
"publisher": "Jooble",
"apply_link": "https://uk.jooble.org/rjdp/-3288781699796691797"
}
],
"employer_logo": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR9yVsqD3YRklTX7xkzvXpi0FkUFxTGMX_jgb99&s=0",
"employer_name": "Sky",
"job_is_remote": false,
"job_longitude": 0.1482103,
"job_posted_at": "11 days ago",
"job_publisher": "Jooble",
"job_apply_link": "https://uk.jooble.org/rjdp/-3288781699796691797?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
"job_highlights": {},
"job_max_salary": null,
"job_min_salary": null,
"job_description": "Better content. 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 turn big ideas into the products, content and services millions of people love.\nDesign, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast .\nSolve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects.\nBuild retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data\n• Optimise relevance, latency, and response quality for interactive UI components\n• Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications\n• Contributes to system architecture, model selection, and deployment strategies\n• Participates in Scrum / agile process\n• Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production\n\n~ Working experience and in-depth understanding of:\n• Large Language Models (LLMs)\n• Vector databases and semantic search\n• Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset\n• AWS Lambda best practices)\n• Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments\n\nPhD in related subjects\n\n~ Extensive machine learning research background, including a cademic publications in ML- related conferences or journals\n\nFrom Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next.\nA generous pension package\n• Private healthcare\n• Discounted mobile and broadband\n• Inclusion & how you'll work\n\nWe are a Disability Confident Employer, and welcome and encourage applications from all candidates. 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.\nYour office space:\nOr 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.\nYou 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.\nInventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. We support our community and contribute to a sustainable future for our business and the planet.\nJust so you know: if your application is successful, we'll ask you to complete a criminal record check.",
"job_google_link": "https://www.google.com/search?q=jobs&gl=gb&hl=en&udm=8#vhid=vt%3D20/docid%3D6PkYejXLq2CUW4w8AAAAAA%3D%3D&vssid=jobs-detail-viewer",
"employer_website": "https://www.skygroup.sky",
"job_onet_job_zone": "5",
"job_salary_period": null,
"job_apply_is_direct": false,
"job_employment_type": "Full–time",
"job_employment_types": [
"FULLTIME"
],
"job_posted_at_timestamp": 1773100800,
"job_posted_at_datetime_utc": "2026-03-10T00:00:00.000Z"
}