Full Stack AI Developer - London

Full Stack AI Developer
London Hybrid
6 month contract
Inside IR35 via Umbrella

Our Pharmacuetical client are looking for a skilled and motivated Developer to help shape the future of generative AI applications, with a strong focus on safety, usability, and technical excellence. This role blends cutting-edge AI/ML development with user research and full-stack integration, offering a unique opportunity to work at the intersection of innovation and impact.

Key Responsibilities

• Define and implement safety metrics for generative AI systems, particularly language-based models.
• Conduct user research to identify risks, failure modes, and areas for improvement in AI applications.
• Integrate AI/ML components with Front End, Back End, data pipelines, and compute infrastructure.
• Develop high-quality software following best practices, including active participation in code reviews.
• Collaborate with engineers and data teams across functions to build robust, end-to-end data pipelines.
• Generate insights from GenAI datasets using machine learning and data analysis techniques.

Qualifications

• Experience conducting user research in software development contexts.
• Solid understanding of generative AI and large language models.
• Proficiency in Python, including testing and development workflows.
• Familiarity with agile methodologies and working in agile development environments.
• Strong grasp of modern software development tools and practices (eg, Git/GitHub).
• Experience deploying AI/ML-powered applications, especially those involving NLP, language models, or agent-based frameworks (eg, LangGraph, PydanticAI, AutoGen).
• Background in user research specific to AI applications.
• Knowledge of AI/ML evaluation techniques, including safety and robustness assessments.
• Experience in web-based Front End development.

If this role is of interest to you - please apply now with an up to date CV!

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.