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AI Models Lead at Experis

Position AI Models Lead
Posted 23 May 2026
Expired 22 Jun 2026
Company Experis
Location Westminster | GB
Job Type Full Time

Job Description:

Latest job information from Experis for the position of AI Models Lead. If the AI Models Lead vacancy in Westminster matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Experis for the position of AI Models Lead below matches your qualifications.

AI Models Lead
Please make an application promptly if you are a good match for this role due to high levels of interest.
Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles
Paying up to £120,000 + bonus + bens
Permanent
Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite.
We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme.
This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments.
What You'll Be Doing
Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA / QLoRA, and optimisation approaches
Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case
Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability
Building and scaling a suite of fine-tuned models to support multiple product use cases
Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles
Working closely with data, domain and product teams to translate real-world requirements into model behaviour
Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically
Driving models through to production environments, ensuring robustness, scalability, and performance
Experience Required
Proven experience fine-tuning machine learning / LLM models in production environments
Strong track record of deploying AI models at scale and understanding real-world failure modes
Hands-on experience with Generative AI / LLM architectures and frameworks
Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B)
Experience working in cloud environments (AWS preferred)
Ability to operate as a player-coach, combining deep technical expertise xcswzye with leadership
Pragmatic mindset, comfortable working in ambiguous, evolving environments
Excellent communication skills, with the ability to engage senior stakeholders and influence direction
Why Join
Opportunity to build and shape a core AI capability from the ground up
Work on real-world AI use cases where accuracy and trust genuinely matter
Highly visible role with direct exposure to senior leadership and strategic initiatives
Join a business making significant long-term investment in AI-driven innovation
If you're interested in learning more, please reach out to Jacob Ferdinand at
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Job Info:

  • Company: Experis
  • Position: AI Models Lead
  • Work Location: Westminster
  • Country: GB

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information AI Models Lead at the office Westminster above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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