AI Models Lead in Slough

Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles. Paying up to £120,000 + bonus + benefits. 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 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.