AI Models Lead
Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 milesPaying up to £120,000 + bonus + bensPermanent
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 approachesSelecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use caseDefining evaluation frameworks and standards to ensure models meet production-grade quality and reliabilityBuilding and scaling a suite of fine-tuned models to support multiple product use casesOwning experiment design and reproducibility, including tracking, benchmarking, and iteration cyclesWorking closely with data, domain and product teams to translate real-world requirements into model behaviourLeading, mentoring, and growing a team of ML Engineers while remaining hands-on technicallyDriving models through to production environments, ensuring robustness, scalability, and performance
Experience Required
Proven experience fine-tuning machine learning / LLM models in production environmentsStrong track record of deploying AI models at scale and understanding real-world failure modesHands-on experience with Generative AI / LLM architectures and frameworksStrong 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 leadershipPragmatic mindset, comfortable working in ambiguous, evolving environmentsExcellent 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 upWork on real-world AI use cases where accuracy and trust genuinely matterHighly visible role with direct exposure to senior leadership and strategic initiativesJoin 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
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