Senior Machine Learning Engineer
Harnham - Data & Analytics Recruitment · London · posted 10 days ago
Going rate £41,200UK median £47,118London £53,864
Home Office going rates from
Occupation
2136IT quality and testing professionals
Going rate for this occupation: £41,200 · UK median pay £47,118
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£90,000 to £100,000stated · above the range ONS published
- Going rate£41,200
- UK median£47,118
View these figures as a table
| Percentile | Pay |
|---|---|
| 25th | £36,725 |
| 50th | £47,118 |
| 75th | £55,008 |
| Going rate | £41,200 |
| UK median | £47,118 |
Sponsorship
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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.
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.
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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