Develop, design, and implement scalable, maintainable, secure, and observable AI solutions-automating decision‑making, integrating with enterprise platforms, embedding LLMs, reinforcement learning, and APIs, and delivering measurable business outcomes.
AI Lifecycle Ownership & Responsible AI
Implement all components of the AI lifecycle, including data preparation, agent building, evaluation, monitoring, and solution deployment, while applying and extending responsible AI frameworks to ensure ethical, fair, transparent, and compliant AI usage.
Standards, Governance & Reusable Assets
Contribute to defining and refining AI engineering standards, templates, best practices, hybrid governance guardrails, and reusable assets ("AI cookbooks"), while building starter agents and configuration patterns that accelerate adoption across Sky.
Microsoft Copilot Studio Expertise & Enablement
Cross‑Functional Collaboration, Coaching & Culture Building
Work collaboratively with teams across Sky, Group Architecture, Data, Cyber, Comcast, and external partners; train and coach power users and citizen developers; communicate AI concepts clearly to technical audiences; and foster a collaborative, supportive, and knowledge‑sharing culture.
Innovation, Leadership & Continuous Learning
Requirements
Strong software development experience in Python and/or Java, with an understanding of the Agile software development lifecycle.
Proven Automation experience using Public Cloud or Microsoft Technologies
Demonstrated ability to design, develop, and deliver AI-driven solutions in a large enterprise environment, following enterprise standards.
Proven record of delivering AI solutions from concept to production with measurable business impact.
Strong analytical and problem-solving skills, with a keen eye for performance, efficiency, and maintainability.
Passionate about AI technologies, automation, and innovation at speed and scale.
Experience in refactoring, optimisation, and writing clean, performant code.
Hands-on experience with enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry.
Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage.
Team overview
The rewards
There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:
Sky Q, for the TV you love all in one place
A generous pension package
Private healthcare
Discounted mobile and broadband
Access a wide range of exclusive Sky VIP rewards and experiences
Inclusion & how you'll work
We've embraced hybrid working and split our time between unique office spaces and the convenience of w
Benefits
Health insurance
Additional Information
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.
This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions.
Sky · Osterley