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Artificial Intelligence Engineer

Job in Leeds, West Yorkshire, ME17, England, UK
Listing for: Harnham
Full Time position
Listed on 2026-01-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 GBP Yearly GBP 80000.00 YEAR
Job Description & How to Apply Below

Senior ML & AI Engineer

Remote (Bath office 1 day per month)

Up to £80,000

About the Role

We’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.
What We’re Looking For
  • 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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