Senior Machine Learning Engineer

Cubiq Recruitment
London
2 days ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Base pay range

Direct message the job poster from Cubiq Recruitment

2 Positions: Machine Learning Engineer & Machine Learning Researcher

My client is a scaling robotics start-up that is creating autonomous industrial robots capable of handling intricate, dexterous tasks. They're looking for Senior ML Engineers who want the freedom to bridge the gap between state-of-the-art research in embodied AI and real-world systems.

You'll be joining a team of accomplished roboticists with excellent PhDs, high-impact research, and industrial know-how, who will help nurture and develop you to the next level!

Salary: Up to £150k

Location: London

What You’ll Be Doing (Machine Learning Engineer):
  • Implement and scale state-of-the-art AI algorithms to be deployed on real-world robotic systems
  • Build robust data pipelines and work with multi-modal sensor data
  • Collaborate with a talented team of researchers to improve and refine algorithms for real-world tasks
  • Ensure the scalability and maintainability of production systems, with a strong focus on (low-level) MLOps
What You’ll Be Doing (Machine Learning Researcher):
  • Conduct groundbreaking research to develop new algorithms and models for robotics
  • Work on advanced learning approaches such as reinforcement learning and imitation learning
  • Contribute to creating multi-robot systems and cross-embodiment learning techniques
  • Drive innovation by publishing research and attending top conferences
  • Expertise in PyTorch or TensorFlow, distributed computing, and multi-GPU training
  • Robotics experience, particularly in reinforcement/ imitation learning
  • Experience in cloud infrastructure (AWS, GCP, or Azure) and containerization
  • Ability to translate research papers into deployable systems
Researcher Background:
  • PhD or advanced degree in Robotics, Machine Learning, or a similar field
  • Experience with top-tier conferences like CoRL, ICRA, RSS, ICML, ICLR, NeurIPS
  • Strong knowledge of reinforcement learning, imitation learning, and real-world deployment
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Research and Engineering
  • Robotics Engineering and Computers and Electronics Manufacturing

Referrals increase your chances of interviewing at Cubiq Recruitment by 2x

London, England, United Kingdom


#J-18808-Ljbffr

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

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.