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

Apply Now

Senior ML Researcher

Seer
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer, Data for Embodied AI

Senior Machine Learning Engineer, Data for Embodied AI

Senior Backend Engineer (MLOps)

Engineering Manager - Machine Learning, Training Libraries

Senior Researcher in Machine Learning: MSR Machine Intelligence

Senior Machine Learning Researcher - Handwriting

Job Title:

Senior ML Researcher


Location:

London, UK (Hybrid)


Salary:

Up to £105k + Equity



About the Company:

Join a VC funded deep tech startup working on the cutting-edge of machine learning interpretability and knowledge discovery.



Job Overview:

You'll collaborate within a small team to conduct impactful AI research in interpretability, AutoML, and scientific discovery. Not only that, but also expect to contribute and lead projects that develop novel techniques for training and interpreting deep neural networks, while staying updated on the field, coding efficiently, and sharing findings through publications and presentations.



Qualifications and Skills:

  • A PhD or equivalent experience in a technical field with a track record of novel research, strong creative problem-solving skills in uncharted areas, and a broad understanding of machine learning state-of-the-art.
  • Must have hands-on deep learning experience, efficient coding abilities, strong communication, thorough documentation habits, and excellent time management and organisational skills.
  • Experience in AI interpretability, explainability, AI safety, AutoML, or AI applications in science, with a strong publication record in machine learning and experience handling real-world scientific datasets.



Benefits:

  • Free in-office meals, snacks, and beverages
  • Continuous learning stipend
  • Home office stipend



PLEASE NOTE: YOU HAVE TO BE BASED IN THE UK. VISA SPONSORSHIP & RELOCATION IS NOT PROVIDED.

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.