Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Scientific Software Engineer

Exeter
1 year ago
Applications closed

Related Jobs

View all jobs

Applied AI ML - Senior Associate - Machine Learning Engineer

Applied AI ML - Senior Associate - Machine Learning Engineer

Applied AI ML - Senior Associate - Machine Learning Engineer

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Lead R Engineer / Data Scientist - Integrated Pest Management & Soil Science

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

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.