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.
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