Senior Machine Learning Engineer

Cubiq Recruitment
London
3 weeks 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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.