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Humand Talent

Lead Machine Learning Scientist/Engineer - to £180k - ID49000

London
£180k/yr
Posted 1 day ago
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Lead Machine Learning Scientist

London | Hybrid | Senior Individual Contributor

Are you excited by search, ranking and recommendation systems at scale?

Do you enjoy turning complex product challenges into elegant, production-ready ML architecture?

Our client is a major digital platform hiring a Principal Machine Learning Scientist to shape the technical direction for intelligent discovery, planning and personalisation across a large-scale marketplace environment.

This is a hands-on technical leadership role, not a people management position. You will define architecture, raise engineering and ML standards, coach strong technical teams and help turn an early product vision into scalable production systems.

Why This Role is Great

You will have the chance to:

  • Shape the ML vision for search, discovery and planning products.
  • Design advanced retrieval, ranking and recommendation systems.
  • Work with sequential modelling, embeddings, semantic retrieval and multimodal learning.
  • Influence MLOps, experimentation, system design and production quality.
  • Partner closely with Product, Data and Engineering leaders.
  • Coach and mentor other ML specialists while staying deeply technical.

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.

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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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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.

About You

You will likely bring strong experience in:

  • Machine learning for search, ranking, recommendations or personalisation.
  • Multi-objective optimisation, such as MTL, MMoE or similar approaches.
  • Sequential recommendation systems, temporal modelling or session-based modelling.
  • Representation learning, embeddings, semantic retrieval or multimodal ML.
  • Python and frameworks such as PyTorch or TensorFlow.
  • Cloud or distributed systems such as AWS, GCP, Spark or Ray.

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A PhD is not essential. Our client is more interested in deep applied ML expertise, production experience and senior technical influence. Around 7+ years’ relevant industry experience would be a useful guide.

Location

This role is based in London, with hybrid working and around one day per week in the office.

Apply

Apply now for a confidential conversation about this Principal Machine Learning Scientist role with a major digital platform investing heavily in advanced ML, recommendations and intelligent discovery.

Our client and our recruitment team are committed to inclusive hiring and welcome applications from people with transferable experience, even where every requirement is not met.

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Skills

Machine Learning
Search
Ranking
Recommendations
Personalisation
Multi-Objective Optimisation
Sequential Recommendation Systems
Temporal Modelling
Representation Learning
Embeddings
Semantic Retrieval
Multimodal ML
Python
PyTorch
TensorFlow
Cloud Systems

Location

London, England, United Kingdom

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