Tech Lead – AI/ML, GenAI, Data Engineering

La Fosse are partenered with a global commodities organisation searching for a contract AI Tech Lead (AI/ML, GenAI, Data Engineering) to play a pivatol role in their AI roadmap and stategy. 

Rate: Inside IR35 circa £750-£850 pd, 6 month initial contract 
2 stage interview process 
Location: Central London / Remote (Hybrid model) 

The Tech Lead will lead the design, development, and deployment of AI/ML and GenAI solutions across business domains.

Key Responsibilities:

Build robust data pipelines and platforms to support model training, inference, and monitoring.

Evaluate and integrate state-of-the-art LLMs, foundation models, and GenAI frameworks into enterprise applications.
Ensure code quality, scalability, and performance through best engineering practices.
Data engineering/ML engineering team & Project Management
Mentor and guide a team of data scientists, ML engineers, and data engineers.
Drive agile delivery of AI/ML projects from ideation to production.
Stakeholder Engagement and management 
Collaborate with product owners, business leaders, and domain experts to translate requirements into AI-driven solutions.
Communicate complex technical concepts to non-technical stakeholders with clarity and impact.
Influence strategic decisions through data-driven insights and AI capabilities.
Take full ownership of solution delivery, from architecture to deployment and post-production support.
Stay ahead of emerging trends in AI/ML, GenAI, and data engineering to drive innovation.
Champion responsible AI practices, including fairness, transparency, and explainability

Rewquirements: 

Extensive experience in AI/ML and data engineering, with at least 3 years in a technical leadership role.

Proven experience working with GenAI technologies (e.g., OpenAI, Hugging Face, LangChain, RAG pipelines).
Strong programming skills in Python, SQL, and familiarity with cloud platforms (Azure, AWS, GCP).
Expertise in data architecture, ETL/ELT pipelines, and distributed computing frameworks (e.g., Spark, Databricks).
Excellent communication, stakeholder management, and team leadership skills.

Nice to have (advantagous) 

Experience with MLOps, CI/CD for ML, and model governance.

Exposure to multi-modal AI (text, image, audio).

Sound like a great match? please apply with your CV asap to register your interest.