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

Apply Now

Senior ML Researcher

Seer
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer (Knowledge Graph expert) - Selby Jennings

Senior ML Engineer & Researcher: CV, NLP & LLMs

Senior Machine Learning Research Engineer - Speech/Audio/Gen-AI

Senior Machine Learning Engineer, Data for Embodied AI

Senior Machine Learning Research Engineer – Speech/Audio/Gen-AI

Senior Machine Learning Research Engineer – Speech/Audio/Gen-AI

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.