Senior AI Engineer — BioTech/Pharma, Production ML & LLMs

Harvey Nash Group; Oxford; Hybrid; GBP 111,000 - 129,000; Full time

Job summary

Harvey Nash is partnering with a focused consultancy to hire a Senior AI Engineer for a BioTech/Pharma project in Oxford. This outside IR35 contract is hybrid, with 2 days on-site per week, and runs for six months with potential extensions.

Strong production AI/ML deployment experience is required. The candidate will work on building and deploying LLM and agentic AI solutions, emphasizing performance, secure deployments, and scalable data pipelines.

Qualifications

• Senior Python engineer with production software engineering experience.
• Commercial experience building LLM, agentic AI or multi-agent systems.
• Hands‑on experience with LangGraph, LangChain, Haystack or similar frameworks.
• Proven ability to deploy AI/ML systems into production environments.
• Strong knowledge of inference, latency, performance, data pipelines, memory and tool/function calling.
• Experience with large‑scale search and retrieval, including embeddings, indexing and querying multi‑modal datasets.
• Confident with Docker, Git and cloud platforms, ideally AWS.
• Understanding of secure deployments, including air‑gapped, on‑premises or sovereign cloud environments.
• Strong technical ownership, documentation and stakeholder communication skills.

Responsibilities

• Design and implement AI/ML features in production.
• Collaborate with cross-functional teams in BioTech/Pharma projects.
• Maintain documentation and system architecture in line with compliance.
• Ensure secure, scalable deployments across environments.

Skills

Python

LLM agentic AI

LangChain

Production deployment

Inference latency

Data pipelines

Embeddings

Docker

Git

AWS

Secure deployments

Tools

Kubernetes

OpenShift

EKS

Job description

Harvey Nash is partnering with a focused consultancy to hire a Senior AI Engineer for a BioTech/Pharma project in Oxford. This outside IR35 contract is hybrid, with 2 days on-site per week, and runs for six months with potential extensions.

Strong production AI/ML deployment experience is required. The candidate will work on building and deploying LLM and agentic AI solutions, emphasizing performance, secure deployments, and scalable data pipelines.