Senior Research Software Engineer (Probabilistic AI Safety)

Imperial College London
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 71K

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Software Quality
Computer Programming
Data Normalization
Python
Machine Learning
Open Source Technology
Prism (Software)
Software Architecture
Software Engineering
Software Systems
Graphics Processing Unit (GPU)
Large Language Models
Deep Learning
Software Version Control

Job description

Are you an experienced research software engineer who wants to build robust, scalable systems at the frontier of AI safety research? We are seeking a Senior Research Software Engineer to play a leading role in PRISM (Probabilistic Rare-event Inference for Safety of Models), a new research programme developing statistically rigorous methods to quantify rare but high-impact failures in large language models and other generative AI systems.

Based in the Department of Mathematics at Imperial College London, you will work at the interface of software engineering, statistics, and machine learning, helping to turn cutting-edge research ideas into reproducible, secure, and scalable research infrastructure.

What you would be doing

In this role, you will provide senior technical leadership for the software and infrastructure underpinning the PRISM project, working closely with postdoctoral researchers, academic investigators, and external collaborators.

Specifically, you will:

  • Design, build, and maintain robust research software systems supporting large-scale probabilistic experiments on generative AI models.
  • Lead the development of end-to-end computational pipelines, integrating model inference, sampling, verification, data aggregation, and statistical analysis.
  • Engineer scalable and reliable workflows for running experiments on cloud and on-premise compute (e.g. AWS, GPUs, batch systems).
  • Ensure reproducibility, version control, and auditability of research code, data artefacts, and experimental results.
  • Work with researchers to translate novel statistical and machine-learning ideas into efficient, maintainable, production-quality research code.
  • Advise on software architecture, performance optimisation, and technical risk, particularly for long-running or high-variance computational workloads.
  • Contribute to open-source releases, documentation, and best-practice software engineering within the research group.
  • Mentor junior researchers and developers in research software engineering practices.
  • Support the preparation of technical reports, demonstrations, and research outputs for funders, stakeholders, and the wider research community.

Requirements

Do you have experience in Python?, Do you have a Doctoral degree?, You will be an experienced research software engineer with strong technical judgement and a collaborative mindset., * Significant professional experience as a Research Software Engineer, Machine Learning Engineer, Software Engineer, or similar technical role in a research-intensive environment.

  • Strong programming skills in Python and associated deep learning Frameworks, with experience in machine learning, or data-intensive systems.
  • Experience designing and maintaining large, complex codebases used by multiple researchers or teams.
  • Experience with cloud computing or HPC environments, including workflow orchestration and resource management.
  • A strong commitment to software quality, testing, documentation, and reproducibility.
  • The ability to work closely with researchers, understand evolving research needs, and translate them into robust technical solutions.
  • Excellent communication skills and the ability to explain technical concepts clearly to non-software specialists.

Experience with probabilistic modelling, or large language models is desirable but not essential.

Benefits & conditions

This is a full-time post (35 hours per week). This role is for a fixed-term contract for 24 months.

About the company

* A senior technical role on a high-profile, methodologically ambitious research programme at the forefront of AI safety and assurance. * The opportunity to shape the software foundations of research with relevance to policy, regulation, and responsible AI deployment. * Recognition as a core research contributor, working alongside academic staff and postdoctoral researchers. * The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. * Grow your career: gain access to Imperial's sector-leading dedicated career support for researchers as well as opportunities for promotion and progression. * Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes). * Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing., Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact. Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world's toughest challenges. Whatever your role, your contribution will have a lasting impact. As a member of our vibrant community of 22,000 students and 8,000 staff, you'll collaborate with passionate minds across nine London campuses and a global network. This is your chance to help shape the future. We hope you'll join us at Imperial College London.

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