AI Platform Lead

Vivo Talent
London, United Kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Staff Product Manager – Cloud Platform - AI Portal

Wayve London, United Kingdom
On-site

Senior Software Engineer, JAX

NVIDIA Switzerland
PLN 292,500 – PLN 650,000 pa Remote

Senior Software Engineer, JAX

NVIDIA
£292,500 – £650,000 pa Remote

Senior Software Engineer, JAX

NVIDIA
PLN 292,500 – PLN 650,000 pa Remote

Senior Software Engineer, JAX

NVIDIA
£292,500 – £650,000 pa Remote

Senior Software Engineer, JAX

NVIDIA
PLN 292,500 – PLN 650,000 pa Remote
Posted
28 Mar 2026 (2 months ago)

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

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Robotics Jobs in the UK: Roles, Skills, Salaries and How to Get Hired (2026 Guide)

Robotics Jobs UK 2026: roles, salaries and skills for engineers and researchers in manufacturing, logistics, autonomous vehicles, defence and healthcare. In the UK, most robotics jobs cluster around hubs such as London, Cambridge, Bristol, Oxford, Manchester and Edinburgh, with common titles including Robotics Engineer, SLAM Engineer, Controls Engineer and Mechatronics Engineer. The most efficient way to browse live robotics jobs is via specialist boards like RoboticsJobs.co.uk, which curate roles specifically in this field so you are not lost in generic tech listings. This guide covers everything you need to know about robotics jobs in the UK in 2026, from the roles and skills in demand to where to find live opportunities and how to stand out as a candidate.

Where to Advertise Robotics Jobs in the UK (2026 Guide)

Where to advertise robotics jobs UK in 2026: the specialist boards, university channels and community routes that reach robotics, SLAM and controls talent. The candidate pool spans mechanical engineers, software developers, controls specialists, computer vision researchers and systems integrators — a multidisciplinary mix that general job boards are poorly equipped to reach. The strongest robotics candidates are often embedded in research groups, defence programmes or advanced manufacturing environments, and move between roles through specialist networks and industry events rather than mainstream platforms. This guide, published by RoboticsJobs.co.uk, covers where to advertise robotics roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.