Machine Learning Engineer

Nottingham – Flexible working arrangements

We are working with a company at the forefront of drug development and manufacturing. They turn drugs into usable forms, test them in humans, and manufacture the drugs.

The company is now focused on investing in the Machine Learning and Artificial Intelligence space, and has several open positions in the space so the team will be growing.

• Design, develop, and deploy AI and machine learning models, fine‑tune models as required.
• Build and maintain scalable ML pipelines and infrastructure for classical ML and deep learning.
• Deploy models to production using containerisation, CI/CD, and MLOps toolsets.
• Develop LLM‑based tools using prompt engineering, retrieval, and embedding pipelines for knowledge retrieval and workflow assistance.
• Embed responsible AI practices and compliance in all solutions.
• Collaborate with cross‑functional teams to translate requirements into technical solutions.
• Communicate complex technical concepts in clear terms to technical and non‑technical stakeholders.

• PhD in a relevant field and 2‑5 years of experience in ML/AI engineering roles in industry.
• An understanding of the drug development space – expertise is not required.
• Proven track record of building, deploying, and maintaining production‑grade models.
• Strong coding skills in Python and ML frameworks (Tensor Flow, PyTorch, Scikit‑learn).
• Experience with cloud platforms and ML infrastructure (ideally AWS, but open to other cloud infrastructures and MLflow).
• Experience with LLMs, vector search, and retrieval‑augmented systems (RAG).
• Excellent communication skills; able to work cross‑functionally with stakeholders of both technical and non‑technical backgrounds.

This is a great opportunity for someone looking to take the next step in their career. You will get ownership and the chance to help shape a company’s AI and ML strategy, whilst also putting it into practice. You’ll need to be self‑motivated and enjoy the challenge of building things from scratch.