AI Engineer

We don’t just believe in better. 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, Sky Stream 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.

We are seeking a talented AI Engineer to join our Group AI Engineering team and help build the next generation of intelligent, autonomous systems across Sky. You’ll work with cutting‑edge AI technologies. From large language models to agentic frameworks, designing and delivering secure, scalable, and ethical AI solutions that make a tangible business impact. This is a hands‑on engineering role in a forward‑thinking team driving AI adoption at enterprise scale.

You will work across the AI lifecycle, from experimentation and prototyping to production deployment, to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group.

• AI Engineering & Solution Delivery:
  Design and deliver scalable, secure AI solutions using enterprise platforms, LLMs, APIs, automation, and low-code tools to achieve measurable outcomes.
• AI Lifecycle Ownership & Responsible AI:
  Own the AI lifecycle from data preparation and agent development to evaluation, deployment, and monitoring, applying responsible AI throughout.
• Standards, Governance & Reusable Assets:
  Develop standards, governance guardrails, templates, and reusable patterns that accelerate safe AI adoption across Sky.
• Low-Code AI Platform Expertise & Enablement:
  Provide expertise in enterprise low‑code AI and automation platforms, translating capabilities and updates into practical guidance and reusable patterns.
• Cross‑Functional Collaboration, Coaching & Culture Building:
  Collaborate across Sky and with partners, coach power users and citizen developers, and promote clear communication and knowledge sharing.
• Innovation, Leadership & Continuous Learning:
  Track emerging AI and low‑code trends, drive innovation and efficiency, and develop skills through training, mentoring, and hands‑on experience.

• Strong software development experience in Python, with an understanding of software engineering best practices, including testing, code quality and maintainability.
• Practical experience designing, developing and integrating software services, APIs and automation solutions.
• Experience delivering software across the development lifecycle, including development, testing, deployment and ongoing support.
• Demonstrable experience collaborating with technical and non‑technical stakeholders to translate requirements into effective technical solutions.
• Strong analytical and problem‑solving skills, with an emphasis on building reliable, scalable and maintainable solutions.
• Experience developing, deploying or supporting AI/ML solutions in production environments, or an understanding of the practices required to ope rationalise these solutions.
• Experience working with public cloud platforms such as AWS, Azure or GCP.

• Experience developing applications using Type Script.
• Understanding of AI governance and responsible AI principles, including relevant controls, standards and risk
• management practices.
• Familiarity with modern AI architectures and technologies, including large language models (LLMs), retrieval
• augmented generation (RAG), vector databases and agent frameworks such as Strands, Google ADK, Lang Chain or Lang Graph.

There's one thing people can't stop talking about when it comes to life at Sky:…