E
AI Models Lead
Experis
Hybrid Full-time Lead 3w ago
About the role
About
Experis are partnering with a highly successful and growing software organisation investing heavily in building a cutting-edge AI capability at the heart of their product suite. They are searching for an AI Models Lead to 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 early and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments.
Responsibilities
- 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
Requirements
- 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
Skills
AWSHuggingFaceLLM architecturesLoRAPEFTPythonQLoRATRLW&B
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