Senior Machine Learning Scientist

Harnham; Greater London; Hybride; GBP 90 000 - 95 000; Plein temps

Avantages offerts par ce poste

Equity package

Learning and development budget

Health and wellbeing allowance

High ownership and leadership exposure

Résumé du poste

Harnham invites a Senior Machine Learning Scientist to join our London team, focusing on cutting-edge NLP and GenAI. You will lead development of NLP/LLM solutions, design end-to-end experiments, and partner with engineering to deploy production-ready models in a fast-paced product environment.

You will work across information extraction, semantic understanding, and intelligent automation, shaping model training pipelines and evaluation frameworks while communicating insights to non-technical

Qualifications

• Strong commercial experience in ML, NLP, and LLMs.
• Hands-on fine-tuning and evaluation of language models.
• Experience with large-scale, unstructured text datasets.
• Excellent communication and collaboration across teams.
• CS or related technical background; postgraduate study favoured.

Responsabilités

• Develop, evaluate, and optimise NLP and LLM solutions.
• Design and run end-to-end experiments to benchmark performance.
• Collaborate with Product and Engineering to deploy research.
• Translate business challenges into scalable ML solutions.
• Influence technical direction through experimentation and innovation.
• Build GenAI features and agentic AI workflows.

Connaissances

NLP

LLMs

Transformer architectures

Machine Learning

Formation

Postgraduate study in CS or related field

Outils

Python

PyTorch

Description du poste

London (Remote First) | £90,000 - £95,000 + Equity + Benefits

If you're excited by the challenge of turning cutting-edge NLP and Generative AI research into products used by leading global businesses, this is an exceptional opportunity. You'll work at the intersection of Machine Learning Research and Engineering, helping to build next-generation AI systems while enjoying significant ownership, autonomy, and exposure to senior leadership.

The Company

They are a fast-growing AI software company using Machine Learning, Natural Language Processing, and Large Language Models to help organisations better understand customer behaviour and make smarter business decisions.

With a strong product-market fit and continued investment in AI innovation, they are expanding their Machine Learning capability to tackle increasingly complex challenges across customer analytics, semantic understanding, and intelligent automation.

Their environment combines a strong research culture with a pragmatic product mindset, allowing Data Scientists to experiment with new approaches while delivering measurable impact.

The Role

As a Senior Machine Learning Scientist, you will play a key role in developing and improving advanced NLP and LLM-based systems across the full machine learning lifecycle.

You will:

• Develop, evaluate, and optimise custom NLP and LLM solutions for real-world applications.
• Design and run end-to-end experiments to benchmark and improve model performance.
• Work across information extraction, semantic search, retrieval, re-ranking, classification, and sentiment analysis.
• Fine-tune language models and contribute to the evolution of model training pipelines.
• Build and improve GenAI features and agentic AI systems.
• Develop robust evaluation frameworks for non-deterministic AI systems.
• Collaborate closely with Product and Engineering teams to bring research into production.
• Translate business challenges into scalable Machine Learning solutions.
• Influence technical direction through experimentation, research, and innovation.

Your Skills & Experience

You will have:

• Strong commercial experience in Machine Learning, Natural Language Processing, and Large Language Models.
• Deep understanding of transformer architectures and modern NLP techniques.
• Hands-on experience fine-tuning and evaluating language models.
• Strong Python and PyTorch capabilities.
• Experience working with large-scale, messy, unstructured text datasets.
• Knowledge of embeddings, retrieval systems, re-rankers, clustering, classification, and search.
• Experience building GenAI applications and agentic AI workflows.
• Strong understanding of experimentation, evaluation methodologies, and model performance measurement.
• Excellent communication skills with the ability to collaborate across technical and non-technical teams.
• A strong Computer Science or related technical background, with postgraduate study viewed favourably.

What They Offer

• Equity package.
• Learning and development budget.
• Health and wellbeing allowance.
• High ownership and direct exposure to leadership.