Internship Opportunities with Quantinuum 2025 - UK/Germany

Quantinuum
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

UK 2025 Data Engineer Internship

Software Development Engineer, S3

Data Engineering Trainee & Intern

Quants Analyst (AVP Level)

Marketing Operations Manager, Amazon Transportation Services

Sr. System Dev. Engineer, WW AMZL Innovation and Design Engineering

As part of our mission to expand our world class team at Quantinuum, we look for talented and high potential individuals to join us in internship positions. These positions normally have a duration between 3-6 months, with the majority focused on specific projects / client collaborations.Ideally you will already have a good understanding of the interest areas form a further education perspective, either by completing a masters or Ph.D.

We are now planning for our 2025 intake.This is your opportunity to join our talent pool for future internships.

This is your opportunity to register your details and interest areas with us. We do not have a formal summer internship programme, Interns are sought on a ad-hoc basis throughout the year. We have a number of case studies where employees started with us in internship positions and progressed into full time permanent employees. Either at the end of their internship or after returning to and completing further education.

Once you register your interest with us, we will keep you on file (only if we have your permission) and contact you in the future with any matching internships roles. Please understand it may take some time for us to contact you for a role.

We are growing in all areas of Quantinuum. Our focus is in the areas of quantum software development, chemistry, machine learning, algorithms, Cybersecurity / encryption and hardware.

What is in it for you?
Working alongside a highly talented team, with leading names in the quantum computing industry. We offer a competitive salary for interns and a great working environment. These roles provide great development and learning opportunities to develop your career.

About Us:
Science Led, Enterprise Driven – Accelerating Quantum Computing
Quantinuum is the world's largest integrated quantum company, pioneering powerful quantum computers and advanced software solutions. Quantinuum's technology drives breakthroughs in materials discovery, cybersecurity, and next-gen quantum AI. With approximately 500 employees, including 370+ scientists and engineers, Quantinuum leads the quantum computing revolution across continents.

Quantinuum recently secured $300m in funding, visit our news pages to learn more about this and other Quantinuum scientific breakthroughs and achievements:https://www.quantinuum.com/news

Please note that employment with us is subject to successfully passing our pre-employment screening checks. We are an inclusive equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.



KL86wlFaKGmAZs1g2IPY4N

PI265117483

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.