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

Apply Now

PhD-qualified Software Engineer

ECM Selection (Holdings) Limited
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist PhD – Canary Wharf

Research Scientist, Machine Learning (PhD)

Research Scientist, Machine Learning (PhD) London, UK • Software Engineering +1 more • Engineer[...]

Machine Learning/Computer Vision (PhD) - Cambridge (Hybrid)

Machine Learning Engineer

NLP / Machine Learning Data Scientist

Apply your advanced engineering skills to problems in maths and machine learningLooking for a mathematical software engineer role at a growing company that’s starting their adoption of machine learning technology?This company creates mathematical tools for solving numerical optimisation problems for logistics and trading. Their unique software toolkit is relied upon by clients worldwide. Due to their continued success, they are seeking to recruit an additional engineer to the team with an outstanding background in computer science, as well as strong coding and mathematical skills.You will need:• A strong academic background in computer science (1st or 2.1 from a leading university, good A-levels or equivalent), and a PhD in a relevant computing or mathematical subject.• Hands-on coding skills in Java, C#, C++, Rust, or similar. (Regrettably, scripting languages alone won’t be sufficient.)A strong understanding of large language models or neural networks would be advantageous.The company are based in Central London location with excellent transport hubs and amenities nearby.Keywords: Java, Mathematical Modelling, PhD, LLMs, Neural Networks, Central LondonAnother 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: CV27305) 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.

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.