Artificial Intelligence Engineer

Harnham; Remote; GBP 68,000 - 80,000; Full time

Job summary

A fast-growing tech startup in the UK is seeking a Senior ML & AI Engineer to design and maintain scalable backend systems for advanced machine learning applications. This role involves developing MLOps pipelines and deploying models in production. Ideal candidates possess a strong academic background in computer science, hands-on experience with Python and ML frameworks, and familiarity with MLOps practices. The position offers a competitive salary up to £80,000 with the possibility of remote work.

Qualifications

• Strong academic background in Computer Science, ML, AI, or a related field.
• Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring.

Responsibilities

• Design, build, and maintain scalable backend systems for ML applications.
• Develop and manage end-to-end MLOps pipelines.
• Deploy and monitor machine learning models in production.

Skills

Python

ML frameworks (PyTorch, TensorFlow, Hugging Face)

MLOps

Backend systems development

Data orchestration tools (Airflow, DBT)

LLM integration

Education

Computer Science, ML, AI, or related field

Job description

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, TensorFlow, 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).