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Machine Learning Engineer | Competitive Compensation | LLMs

London
£100k – £160k/yr
Posted about 15 hours ago
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Machine Learning Engineer – LLMs

Want to build LLM-powered systems that have to work reliably in the real world?

We’re looking for an exceptional Machine Learning Engineer to help build and deploy production-grade AI systems, with a particular focus on LLMs and modern generative AI.

This isn’t a research-only role. You’ll work across models, data, evaluation and production systems - turning the latest advances in AI into reliable, high-impact products.

What you’ll do

  • Build and ship LLM-powered features and systems into production
  • Design robust evaluation frameworks to measure and improve model performance
  • Experiment with prompting, fine-tuning, retrieval and agentic approaches
  • Build data and ML pipelines that support rapid experimentation at scale
  • Optimise models and inference for latency, reliability and cost
  • Work closely with software, product and domain experts to solve difficult real-world problems
  • Help shape the company’s ML architecture, tooling and technical direction

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.

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

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.

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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.

You’ll ideally bring:

  • Excellent Python and software engineering skills
  • Strong experience with PyTorch and modern ML tooling
  • Hands-on experience building applications with LLMs
  • A strong understanding of transformers, embeddings and modern NLP
  • Experience with LLM evaluation, fine-tuning, RAG and/or agentic systems
  • Experience taking ML models from experimentation through to production
  • Strong judgement around model quality, data, performance and trade-offs

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What’s on offer

  • Competitive salary + equity
  • 7% pension
  • Private healthcare
  • Free daily meals
  • Significant technical ownership from day one
  • The opportunity to build cutting-edge AI that gets deployed in the real world

You’ll need the right to work in the UK and be eligible for UK SC clearance. This is an office-first role, with flexibility when needed.

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Skills

Python
PyTorch
Large Language Models
Transformers
Embeddings
Natural Language Processing
RAG
Fine-tuning
Agentic Systems
ML Pipelines
Model Evaluation
Software Engineering

Location

London, England, United Kingdom

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