AI Platform Lead

Vivo Talent
London, United Kingdom
Last month
£80,000 – £90,000 pa

Salary

£80,000 – £90,000 pa

Seniority
Lead
Posted
24 Mar 2026 (Last month)
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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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