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La Fosse

Machine Learning Engineer

London
£75k/yr
Posted about 19 hours ago
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Machine Learning Engineer

£75,000 + £3,500 guaranteed bonus
London | Hybrid - 1 day p/w in the office

We're partnering with a leading consultancy that is investing heavily in AI and Machine Learning capabilities across multiple industries, helping clients solve complex business challenges through cutting-edge technology.

The Opportunity

You'll join a high-performing AI team focused on designing, building and deploying production-grade Machine Learning solutions. Projects range from predictive analytics and computer vision through to GenAI applications, AI agents and intelligent assistants.

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.

What You'll Be Doing

  • Building end-to-end machine learning solutions, from data preparation and model development through to deployment and monitoring
  • Developing scalable MLOps frameworks, CI/CD pipelines and ML engineering best practices
  • Working with stakeholders to translate business requirements into technical solutions
  • Advising clients on AI strategy, cloud adoption and machine learning operating models
  • Supporting the development of GenAI applications, LLM-powered tools and agentic systems
  • Driving best practice around model governance, transparency and responsible AI

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What We're Looking For

  • Strong commercial experience building and deploying Machine Learning models in production
  • Python expertise alongside frameworks such as PyTorch, TensorFlow or similar
  • Experience with MLOps, CI/CD, testing, version control and software engineering best practices
  • Strong cloud experience across AWS, Azure or GCP
  • Exposure to GenAI, LLMs, AI Agents or modern AI application development
  • Excellent client-facing and stakeholder management skills

If this role sounds of interest, please apply with your CV to find out more...

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Location

London, England, United Kingdom

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