National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Scientific Software Engineer

Exeter
8 months ago
Applications closed

Related Jobs

View all jobs

Postdoc / Scientific Software Developer

Bioinformatic Software Engineer

Applied AI ML - Senior Associate - Machine Learning Engineer...

Applied AI ML - Senior Associate - Machine Learning Engineer

Applied AI ML Lead - Senior Machine Learning Engineer - Commercial and Investment Bank

Senior Software Engineer

Interim Senior Scientific Software Engineer
Location: Exeter / Hybrid
Pay Rate: £500 per day (umbrella)

About the Role:
A public sector body is seeking an Interim Senior Scientific Software Engineer to join a cross-organisational team working on an AI-driven project. The primary responsibility of this role is to provide technical leadership and coordination across a team of Scientific Software Engineers and Data Scientists, acting as Scrum Master to support effective agile delivery. This position focuses on enhancing the team's technical leadership and agile practices, complementing the existing scientific leadership.

Key Responsibilities:

Provide technical leadership to deliver project milestones in collaboration with the project manager and team members.
Act as Scrum Master, facilitating agile ceremonies and supporting the team to achieve optimal workflow.
Lead the development of technical plans and roadmaps for the FastNet capability.
Collaborate closely with the project manager to ensure effective agile delivery practices are in place.
Key Skills and Experience Required:

Expert knowledge of Python and experience with quality assurance practices, including testing and documentation.
Proficient in agile development practices, particularly with the Scrum framework.
Knowledge of machine learning workflow development and deployment on cloud platforms such as AzureML.
Familiarity with handling large structured and unstructured datasets, ideally with geospatial data

National AI Awards 2025

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.

Jobs

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Jobs

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

Careers

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.