Job Description
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.
What you’ll do
- Design, develop, and optimise GenAI‑powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users
- Build retrieval‑augmented generation (RAG) pipelines combining LLMs with structured and unstructured data
- Optimise relevance, latency, and response quality for interactive UI components
- Evaluate and improve models using real‑world feedback, analytics and experimentation
- Collaborate closely with frontend, product, and UX teams to embed AI components into user‑facing applications
- Contribute to system architecture, model selection, and deployment strategies
- Provide technical guidance and mentorship to junior members of the engineering team
- Participate in Scrum / agile processes
- Participate in on‑call support with the rest of the team
What you’ll bring
- Extensive experience with traditional ML systems and GenAI (LLMs, agent frameworks), including proven delivery of GenAI‑powered search or chatbot solutions in production
- Working experience and in‑depth understanding of
- Large Language Models (LLMs)
- Vector databases and semantic search
- Retrieval‑Augmented Generation (RAG)
- Extensive programming expertise, primarily in Python, delivering ML and GenAI solutions with a language‑agnostic mindset
- Familiarity with cloud services (e.g., AWS Lambda best practices)
- Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast‑paced environments
Benefits
- 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
- Access to a wide range of Sky VIP rewards and experiences
Inclusion & how you’ll work
We are a Disability Confident Employer and welcome applications from all candidates. We will provide reasonable adjustments to support applicants where appropriate.
We embrace hybrid working, split time between unique office spaces and the convenience of working from home.
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