Machine Learning Scientists And Engineers: Ai For Quantum (London)

Quantinuum

Nottingham

8 months ago

Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Researcher

Machine Learning Engineer – Founding Team (Computer Vision / GenAI)

Senior Data Scientist / Machine Learning Engineer

Machine Learning Engineer - Health Tech Start Up

Research Scientist (Quantum Chemistry and Machine Learning), London London

Talent Pool Registration At Quantinuum, we have formed a new team to implement our AI strategy. This team currently consists of 14 employees. We are now talent pooling for future positions in this team. Please register your interest, and we will get back to you when new roles open. Note that replies may not be immediate as all current positions have been filled. About Quantum Computing and AI Designing, building, programming, and using a quantum computer poses numerous challenges. Modern AI methods show promise in tackling them, requiring quantum computing scientists to identify use cases and design experiments. Roles in the AI for Quantum Team Machine Learning Scientist Design ML experiments in collaboration with ML engineers and quantum scientists. Lead the development of tools applying AI to quantum computing, with access to Quantinuum’s quantum computers. Applications include circuit optimization, quantum algorithm design, and error mitigation strategies. Machine Learning Engineer Use state-of-the-art methods with quantum scientists to solve problems in the quantum stack, such as circuit compilation and error correction, and explore quantum advantage by integrating quantum computers with AI systems. Responsibilities Research novel AI use cases for quantum program synthesis. Identify high-impact problems for Quantinuum. Collaborate with engineering, product management, and other teams. Represent the team at scientific and industry conferences. Key Requirements Master’s or Ph.D. in relevant fields or equivalent experience. Experience in applied AI for scientific problems. Previous quantum computing experience. Knowledge of quantum advantage literature. Desirable Skills Knowledge of quantum physics or related fields. Experience with large-scale machine learning and high-performance computing. Benefits Work with a talented team, competitive package, equity, paid holidays, pension, flexible working, and parental benefits. About Quantinuum Quantinuum is a leading quantum computing company, pioneering hardware and software solutions with around 500 employees. We are committed to accelerating quantum computing breakthroughs and are an equal opportunity employer. #J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Jan 29, 2026

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.