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SR2 | Socially Responsible Recruitment | Certified B Corporation™

Head of Machine Learning

London
£130k – £160k/yr
Posted about 18 hours ago
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Head of Machine Learning - Enterprise AI Agents

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

Salary: £130,000 - £160,000 + meaningful equity

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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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

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Desirable experience

  • 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

Why join?

  • 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

Please apply directly or drop your CV into my inbox at adam.lockett@sr2rec.co.uk

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Skills

Machine Learning
AI Agents
Python
LLM
Retrieval-Augmented Generation
Agent Orchestration
ML Engineering
Technical Leadership
Evaluation Frameworks
Model Selection
API Integration
System Architecture
Production Deployment
Observability
Team Management
Prompt Engineering

Location

London, England, United Kingdom

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