AI Engineer

AI Engineer at Sky

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 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.

What You'll Do

• Develop and implement AI solutions that automate decision-making and deliver measurable business outcomes.
• Design, build, and deploy scalable, maintainable, and observable AI systems, collaborating with senior engineers as needed.
• Implement key stages of the AI lifecycle, including data preparation, agent development, evaluation, and monitoring.
• Apply responsible AI practices to ensure solutions are fair, transparent, and ethical.
• Create and refine AI engineering standards, reusable assets, and support secure integration into enterprise platforms.
• Stay up to date with industry trends, tools, and best practices in AI engineering.

What You'll Bring

• Experience of AI architectures, LLMs, vector databases, and agent frameworks such as Google ADK.
• Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle.
• Experience with AI/ML solution development — from prototype to deployment — ideally within a large enterprise environment.
• Understanding of cloud environments such as GCP, AWS, or Azure.
• Strong analytical and problem-solving skills, with attention to performance and maintainability.
• Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly.

Team Overview

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.

The Rewards

There's a reason people can't stop talking about . 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 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:

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’s 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.

Alternatively, at Livingston Watermark House, our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there’s onsite parking available for cars, motorbikes and bicycles.

Key skills/competency

• AI Architectures
• Large Language Models (LLMs)
• Vector Databases
• Agent Frameworks (Google ADK)
• Python Development
• Java Development
• Agile Methodologies
• Cloud Platforms (GCP, AWS, Azure)
• Problem-Solving Skills
• Scalable AI Systems