Senior Research Engineer

Oxford
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Computer Vision & Lab Robotics Engineer

Senior Data Research Engineer Computer Vision

Senior Machine Learning Research Engineer

Senior Data Scientist Research Engineer

Senior Data Scientist Research Engineer

Senior Machine Learning Research Engineer - 6840

What you will do

Design, develop, and maintain production-ready software tools and frameworks for efficient enzyme design and analysis.

Work closely with research scientists to transform innovative algorithms and generative models into robust, scalable software solutions.

Contribute to developing AI/ML models for protein structure and enzyme function prediction, as well as reaction optimisation.

Implement and maintain data pipelines for processing and analysing large-scale biological and chemical datasets.

Collaborate with the computational platform team to deploy and scale our computational tools in cloud environments.

Maintain high code quality, optimise performance, and ensure reproducibility through comprehensive testing, thorough documentation, and robust version control practices.

What you will bring

Advanced degree in a relevant scientific discipline such as physics, chemistry, biochemistry, or applied mathematics, providing strong domain knowledge, numerical skills, and computational expertise.

Extensive knowledge in one or more fields: structural bioinformatics, cheminformatics, AI/ML, computational chemistry, or molecular dynamics.

Advanced software engineering skills, including expertise in version control systems (e.g., Git), automated testing frameworks, and CI/CD pipelines, coupled with a genuine passion for delivering high-quality, scalable technical solutions.

Strong proficiency in Python, with extensive experience in scientific computing libraries (e.g., NumPy, SciPy, Polars) and a proven track record of implementing advanced algorithms and complex computational workflows.

Familiarity with cloud computing platforms (e.g., AWS, GCP), containerisation technologies (e.g., Docker), and scalable workflow orchestration tools.

Nice to have

Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and their application to biological problems.

Experience with high-performance computing environments and parallel processing.

Contributions to open-source scientific software projects.

GCS is acting as an Employment Agency in relation to this vacancy

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.