Lead Machine Learning Engineer

Sky
Isle of Skye
1 month ago
Applications closed

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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.

What you'll do

  • Design, prototype, and deliver production ready AI systems at enterprise scale, including agentic and multi agent solutions that automate decision making and adaptive workflows.
  • Build and evolve AI services using large language models, embeddings, vector search, APIs, microservices, and event driven architectures integrated with enterprise data and platforms.
  • Work hands on with modern AI engineering stacks, primarily Python and cloud native services, taking AI solutions from experimentation through to secure and observable production.
  • Define, shape, and apply reusable AI engineering standards and patterns, often referred to as AI cookbooks, to accelerate delivery and consistency across teams.
  • Contribute to the design and evolution of enterprise AI platforms, tooling, and lifecycle management including pipelines, evaluation, deployment, monitoring, and ongoing optimisation.
  • Partner closely with Architecture, Data, and Cyber Security teams to ensure AI systems are secure, compliant, interoperable, and ethically deployed.
  • Provide technical leadership and mentoring to AI engineers, and where appropriate take on people management responsibilities aligned to experience and team needs.
  • Act as a technical leader across the organisation, enabling teams to adopt AI safely and effectively while delivering measurable business impact.

What you'll bring

  • Strong software engineering experience in Python and or Java , with a solid understanding of Agile delivery in large scale enterprise environments.
  • Proven experience delivering AI driven solutions from concept through to production, with clear business or operational impact.
  • Deep practical understanding of large language models, embeddings, vector databases, and AI system optimisation , with experience building reliable and maintainable AI services.
  • Experience working in enterprise cloud environments such as Azure Machine Learning, Azure AI Foundry, Google Vertex AI, or equivalent platforms.
  • Familiarity with agentic or orchestration frameworks such as LangChain, Semantic Kernel, or similar technologies.
  • Experience mentoring or leading engineers , with the capability to take on people management responsibilities where required.
  • A strong engineering mindset focused on code quality, performance, observability, and continuous improvement.
  • Excellent communication skills, with the ability to explain complex AI concepts clearly to both technical and non technical stakeholders.

Team overview

We are seeking an experienced Lead AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact.

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 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:

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.

OR

Osterley:

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.

We'd love to hear from you
Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next.

But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we'll back you all the way.

Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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