Post-Doctoral Data Scientist

London
8 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Forward Deployed)

Capacity Planning Data Scientist

Academic research with real industrial applications

This world-class research centre is focused on delivering the science needed to advance UK capabilities in AI and Data Science for the defence and security domains. They conduct pioneering research, publishing papers and releasing proof-of-concept software and hardware systems. They are seeking a versatile scientist to join the team.

They use modern machine learning / data science techniques and algorithms to solve these challenging problems. They work in a variety of areas including radar, communications, electronic warfare, and AI itself. The core of their work is developing fundamentally new approaches and taking advantage of recent breakthroughs in ML. Specific domain knowledge of the problem areas is not required, but a good general background in Physics is.

Requirements:

  • PhD in a STEM subject which has provided exposure to modern machine learning / data science techniques

  • Strong and holistic background in Physics

  • Confident communicator prepared to present work at academic conferences and write formal papers for publication

  • Fluency in Python for Machine Learning development

    You will be working in well appointed offices in central London alongside other high achieving academics. Your work will have tangible results and part of your job will be to ensure successful transfer to industrial partners. As a highly research orientated organisation, hybrid working is the norm, with only 1-2 days per week required in the office. This is a fixed-term contract role for 18-months, but with further funding your role may be continued.

    Another top job from ECM, the high-tech recruitment experts.

    Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV.

    Please apply (quoting ref: CV27405) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.