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AI / ML Engineer – Outside IR35 – Hybrid (2–3 days in Marble Arch) – 6 Months. One of our private equity clients in the UK are searching for a hands-on AI / ML Engineer to help bridge deep technical capability with business-facing problem solving. They are exploring new ways of unlocking value from decades of unstructured “dark data” and need someone to help shape what modern AI looks like inside their organisation. You will be playing a key role in turning vague, messy business problems into concrete AI pipelines and prototypes that will inform major strategic decisions.
Job Responsibility:
Act as a hands-on AI / ML engineer embedded directly in the business problem space
Take ambiguous business challenges and refine them into real, provable AI use-cases
Prototype solutions quickly, demo them internally, gather feedback and iterate
Work with huge volumes of unstructured documents and data across multiple legacy systems
Use GenAI, LLMs and semantic modelling to extract meaning, entities and patterns
Build end-to-end solutions — from extraction to model testing to productionisation
Collaborate with business stakeholders, data engineers and external vendors / startups
Help influence and define the AI roadmap and tooling choices going forward
Requirements:
Strong Python skills and real-world ML engineering experience
Strong experience with modern GenAI / LLM frameworks: LangChain, LangGraph, PyTorch, etc.
Comfort working with unstructured data: entity extraction, semantic search, vectorisation, RAG-like patterns
Awareness of data engineering: pipelines, legacy data extraction, interfacing with data teams
Experience or strong curiosity working with Azure and Azure Databricks
A proactive stakeholder mindset – you enjoy teasing out real needs rather than waiting for specs
A learner’s mindset – you keep up with the pace of AI and explore new tooling constantly