Research Engineer

Vertex Search; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading health tech company in London is seeking experienced Research Software Engineers to join their growing team. You will play a critical role in developing AI-driven biomedical platforms that leverage complex datasets for high-precision inference in clinical drug trials. This role involves building Python tooling, collaborating with experts across various fields, and shaping the future of therapeutic development. If you have strong Python skills and a passion for AI in healthcare, this position is for you.

Qualifications

• Experience in building Python tooling for machine learning and data analytics.
• Familiarity with model training, evaluation, and deployment processes.
• Strong understanding of experiment tracking and model versioning.

Responsibilities

• Collaborate with research and product teams to develop AI-driven solutions.
• Build scalable and efficient Python libraries and APIs for model management.

Skills

Python programming

Machine Learning

Data analytics

System design

Job description

Job Description

Research Software Engineer - World-Class AI Health Tech Scaleup - London / Hybrid

Our world-class medical AI client is a rapidly expanding innovator at the intersection of AI and life sciences, with significant funding.

They build multi-modal foundation models that span medical imaging, clinical, genetic, and omics data, for high-precision inference in late-stage clinical drug trials. They are scaling fast and on a mission to revolutionise therapeutic development, with cutting-edge ML and data analytics. The commercial potential of this work is phenomenal, as is its scope for its impact on society.

They are looking to hire several experienced Research Software Engineers to partner closely with the Research team (currently ~12), playing a pivotal role in developing and optimising their next-generation, AI-driven biomedical platforms. If successful, you'll collaborate with ML specialists, data scientists, clinicians, and product teams to build scalable solutions that leverage complex, multimodal datasets.

Some of the things you’ll contribute to

ML Platform & Tooling

• Build Python tooling, libraries, APIs and SDKs to support model training, evaluation and deployment
• Develop experiment-tracking, model-versioning and reproducibility tools

Create systems for managing large...