Head of Machine Learning

Head of Machine Learning – Enterprise AI Agents

Location: London – 2/3x a week on site

We’re working with a venture-backed enterprise AI company building and deploying intelligent agents for complex, regulated organisations.

Their agents connect with existing enterprise systems, interpret unstructured information and complete multi-step operational workflows. The focus is on building reliable AI systems that deliver measurable business outcomes-not simply impressive prototypes.

They’re hiring a Head of Machine Learning to own the intelligence layer of the platform. You’ll set the technical direction across agent architecture, retrieval, evaluation and learning while remaining hands-on with the company’s most difficult engineering challenges.

What you’ll be doing

• Define the ML and agent roadmap across orchestration, tool use, retrieval, memory and model selection
• Take agentic systems from prototype through to secure, monitored production deployments
• Build evaluation frameworks covering task success, groundedness, reliability, latency, cost and safety
• Work with forward-deployed teams and enterprise customers to translate complex workflows into technical solutions
• Make key architectural and build-versus-buy decisions
• Establish engineering standards across ML development, testing and deployment
• Design guardrails, auditability and human-in-the-loop controls
• Hire and lead a team of Applied ML and Agent Engineers
• Remain hands-on with architecture, prototyping and critical technical problems

What we’re looking for

• 7+ years of experience building production ML or applied AI systems
• Recent hands-on experience developing LLM-powered products or AI agents
• Strong Python and ML engineering fundamentals
• Experience with agent orchestration, tool calling, APIs and retrieval-augmented generation
• A strong understanding of evaluations, observability, fallbacks and failure handling
• Experience owning systems across data, modelling, deployment, monitoring and iteration
• Experience deploying technology into enterprise or regulated environments
• Previous technical leadership, mentoring or team-building experience
• Comfortable working in an early-stage, 0-to-1 environment
• Able to communicate effectively with engineers, founders and senior customers
• Multi-agent or long-running agentic systems
• Financial services, insurance, legal, healthcare or another regulated industry
• Model routing, fine-tuning, synthetic data or reinforcement learning from feedback
• Forward-deployed engineering or customer-facing technical delivery
• Supporting enterprise technical discovery and sales processes
• Open-source contributions, technical writing or public speaking
• Own a company-defining technical function
• Build agents that complete real enterprise workflows
• Influence the product, architecture and commercial strategy
• Work directly with customers on complex deployment challenges
• Build the ML team around your technical vision
• Competitive salary and meaningful equity

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