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Artificial Intelligence Engineer
Job in
Leeds, West Yorkshire, ME17, England, UK
Listed on 2026-01-02
Listing for:
Harnham
Full Time
position Listed on 2026-01-02
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Senior ML & AI Engineer
Remote (Bath office 1 day per month)
Up to £80,000
About the RoleWe’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions.
They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands‑on environments where ML systems are core.
Responsibilities- Design, build, and maintain scalable backend systems that power advanced ML and LLM applications.
- Develop and manage end‑to‑end MLOps pipelines with automation, reproducibility, and scalability at their core.
- Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues.
- Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting.
- Champion clean, maintainable, and well‑documented code following best engineering practices.
- Strong academic background in Computer Science, ML, AI, or a related field.
- Deep hands‑on experience with Python and ML frameworks (PyTorch, Tensor Flow, Hugging Face).
- Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring.
- Experience building robust backend systems and APIs to serve ML models at scale.
- Strong understanding of big data technologies and data orchestration tools (Airflow, DBT).
- Familiarity with LLM integration and optimisation in production environments.
- Excellent problem‑solving, analytical, and communication skills.
- Experience fine‑tuning LLMs (e.g. Unsloth, cloud-based methods).
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