AI Engineer: Generative AI & LLMs (Hybrid, UK)

Harvey Nash Plc; United Kingdom; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private medical cover

Enhanced pension contribution

Life assurance

Employee wellbeing support

Flexible holiday options

Learning and certification support

Job summary

Harvey Nash Plc is seeking an AI Engineer for a permanent, hybrid role across the UK (London, Manchester, Leeds, Birmingham, Edinburgh). You will design, build, and deploy AI/ML solutions, including LLM-powered applications and RAG pipelines, while working with client stakeholders to deliver practical, production-ready outcomes.

The role demands hands-on data science and ML expertise, strong Python development, and experience with Generative AI and LLMs.

Qualifications

• Commercial experience in Data Science, ML, or AI Engineering.
• Strong Python development skills with common AI/ML libraries.
• Hands-on with Generative AI, LLMs, and RAG architectures.
• Understanding of AI Agent frameworks and orchestration concepts.
• Experience building and deploying ML solutions.

Responsibilities

• Design, develop, test, and deploy AI/ML solutions.
• Build LLM-powered applications, including prompting frameworks, RAG pipelines, and agent-based workflows.
• Deliver end-to-end data science activities: data prep, feature engineering, model development, evaluation.
• Translate designs into production-quality Python code.
• Contribute to model testing, monitoring, and performance optimisation.
• Collaborate with architects, data scientists, engineers, and clients.
• Mentor junior team members and graduates.
• Share knowledge and drive best practices across AI community.

Skills

Data Science

Machine Learning

Python development

Generative AI

LLMs

RAG architectures

AI Agent frameworks

Tools

Azure

Python

Job description

Harvey Nash Plc is seeking an AI Engineer for a permanent, hybrid role across the UK (London, Manchester, Leeds, Birmingham, Edinburgh). You will design, build, and deploy AI/ML solutions, including LLM-powered applications and RAG pipelines, while working with client stakeholders to deliver practical, production-ready outcomes.

The role demands hands-on data science and ML expertise, strong Python development, and experience with Generative AI and LLMs.