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.