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Permanent

AI Platform Lead

London
money-bag £80000 - £90000/annum
Posted Yesterday

AI Platform Lead / Up to £90K + Approx. 29% Pension / London OR Newcastle / 2 Days in Office

We are seeking an experienced AI Platform Lead to help design, build and operate secure AI development and production environments, supporting a growing portfolio of machine learning and generative AI solutions. This role combines hands-on engineering with technical leadership, including support for a small team of AI engineers.

You will work across infrastructure, deployment, model integration and experimentation to deliver scalable, reliable and secure AI capabilities that improve efficiency, decision-making and service delivery.

Key responsibilities

  • Build, operate and maintain AI development and production environments using Azure services, including AI, ML and GenAI workloads.
  • Design and manage CI/CD and MLOps pipelines to support model development, deployment, monitoring and lifecycle management.
  • Provision and secure cloud environments using Infrastructure as Code, with a strong focus on automation, compliance and best practice.
  • Develop and integrate AI applications and services, including classical ML, NLP, RAG and generative AI solutions.
  • Support experimentation and proof-of-concept work through secure AI sandboxes and evaluation of emerging tools and platforms.
  • Monitor, optimise and retrain models in production, ensuring strong performance, reliability, safety and cost effectiveness.
  • Apply cloud security, identity and access controls, data governance and Responsible AI principles across all solutions.
  • Provide technical leadership, mentoring and workload coordination for a small team of AI engineers.
  • Produce clear documentation covering architecture, workflows, data flows and operational procedures.

What we are looking for

  • Proven experience building and deploying AI/ML solutions in production.
  • Strong background in AI infrastructure, cloud platforms, CI/CD, containerisation and MLOps.
  • Hands-on experience with Azure and related services.
  • Ability to work with data scientists, engineers and business stakeholders.
  • Experience leading or mentoring technical team members.
  • Strong understanding of Responsible AI, data privacy and ethical considerations.

Location: Hybrid, with regular attendance required at an office in London or Newcastle.

If you are interested in the role, then please apply or reach out!

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