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Harnham

Senior Machine Learning Engineer

United Kingdom
Posted about 14 hours ago
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Senior Machine Learning Scientist - REMOTE

This is an opportunity to join a high-growth AI SaaS business using NLP and GenAI to transform unstructured customer feedback into actionable business insights. You'll work at the intersection of Machine Learning research and production, developing models that directly influence customer experience and commercial outcomes.

The Company

They are an AI-focused technology company helping organisations unlock value from large-scale customer feedback data. With strong growth, expanding enterprise clients, and significant investment in AI, they are building innovative NLP and LLM-powered products that drive measurable business impact.

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.

The Role

You will develop and deploy advanced NLP and GenAI solutions across the full ML lifecycle.

Key responsibilities:

  • Build and improve models for information extraction, retrieval, re-ranking, and sentiment analysis.
  • Fine-tune language models and optimise LLM performance.
  • Design and evaluate experiments to improve product outcomes.
  • Develop production-ready machine learning solutions.
  • Work with agentic AI systems and modern NLP architectures.
  • Collaborate closely with Product, Engineering, and senior stakeholders.

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Your Skills & Experience

  • Strong commercial experience in Machine Learning and NLP.
  • Hands-on experience fine-tuning language models and working with LLMs.
  • Knowledge of GenAI and agentic AI patterns.
  • Experience working with large, complex datasets.
  • Understanding of model deployment and productionisation.
  • Strong communication and stakeholder management skills.
  • A practical approach to solving real-world business problems.
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Skills

Machine Learning
NLP
GenAI
LLMs
Information Extraction
Retrieval
Re-ranking
Sentiment Analysis
Model Fine-tuning
Agentic AI
Model Deployment
Stakeholder Management

Location

United Kingdom

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