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Head of Machine Learning

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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.
Start with a chat, not a search bar
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
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.
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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