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

Apply Now

Senior Data Scientist, EME

WiMLDS Inc
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

The Defence & Security programme at The Alan Turing Institute is looking to expand a newly formed team of data scientists working on real-world problems in the radio frequency domain aligned with defending and securing the UK.

The full job description covers all associated skills, previous experience, and any qualifications that applicants are expected to have.CANDIDATE PROFILE

The ideal candidate is inquisitive, enjoys solving complex, challenging problems, and thinks creatively to find non-obvious solutions. We are a cross-disciplinary team and encourage applications from both generalists and specialists including those who self-identify as software engineers, computer scientists, machine learning practitioners, physicists, mathematicians, statisticians or more widely as data scientists or data engineers.

DUTIES AND AREAS OF RESPONSIBILITY

Engage with scientists from the EME’s Defence and Security partners

Apply state-of-the-art Machine Learning, Data Science, and radio frequency techniques emerging from the Institute, broader academia and industry to problems faced by EME partners, both as part of unclassified EME projects and on partner systems.

Provide technical project management and leadership for research projects

Take ownership of a particular domain challenge area or methodology for the group.

Develop novel multi-modal AI approaches to the fusion of data from multiple sensors

Develop new techniques for the detection, recognition, identification, localisation, and exploitation (DRILE) of radio frequency signals.

Person Specification

PhD or equivalent professional experience in a field with significant use of both computer programming and advanced statistical or numerical methods

Practical experience applying Machine Learning to real world problems or strong theoretical knowledge and academic experience with ML and adjacent topics or demonstrated experience developing algorithms for transmitting, processing and analysing radio frequency signals

Fluency in one or more modern programming languages such as Python

Experience leading a research project with a focus on AI or Radar or Communications and Networks.

A willingness to undergo the Security Check (SC) clearance process once in post, if not already held.

Please see our portal for a full breakdown of the Job Description.

Terms and ConditionsThis full-time post is offered on a fixed term basis for 2 years. The annual salary is £53,021 – £60,564 plus excellent benefits, including flexible working and family friendly policies,Employee-only benefits guide | The Alan Turing Institute.

The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview.

Application procedure

Please see our jobs portal for full details on how to apply and the interview process.

Equality Diversity and Inclusion

We are committed to makingsure our recruitment process is accessible and inclusive.

This includes making reasonable adjustments for candidates who have a disability or long-termcondition. Please contact us to find out how we can assist you.

#J-18808-Ljbffr

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.