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

Apply Now

Senior Machine Learning Engineer - Robotics

Signify Technology
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Lead Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer (Databricks)

Staff Machine Learning Engineer (Competitive + Equity) at VC-backed AI logistics platform

Principal Machine Learning Engineer

I’m working with a top AI firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more.


💼 Role: Senior Machine Learning Engineer – Robotics

🌍 Location: London (onsite)

💸 Package: Negotiable + stock options


What you’ll be doing

  • Training policies via representation learning, behaviour cloning & RL from data to deployment.
  • Building pipelines that fuse vision, language, audio, proprioception & 3D data.
  • Scaling distributed training + optimising models for real-time edge inference.
  • Helping shape how intelligent systems learn and act in the real world.


What we’re looking for

  • 3+ years developing deep learning systems with shipped models or published research.
  • Hands-on with Vision Language Models, LLMs or generative models.
  • Strong Python + PyTorch/JAX skills (debugging, profiling, shipping).
  • Passion for bridging the gap between simulation and reality.


This is one of the most exciting and technically challenging roles I’ve see with the chance to make a real impact on how AI and autonomy move from research into the real world.


We’re especially keen on candidates with autonomous vehicle/machinery experience who are happy to be on-site in London.


Interested? Apply to be considered.

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.