Machine Learning Scientist / Engineer
Machine Learning Scientist / Engineer

Machine Learning Scientist / Engineer

London Full-Time 48000 - 84000 £ / year (est.) No home office possible
Q

At a Glance

  • Tasks: Join our AI team to design ML experiments and develop tools for quantum computing.
  • Company: Quantinuum is a pioneering quantum computing company with innovative hardware and software solutions.
  • Benefits: Enjoy flexible working, competitive pay, equity, paid holidays, and parental benefits.
  • Why this job: Be at the forefront of AI and quantum computing, collaborating with top scientists and engineers.
  • Qualifications: PhD or equivalent experience in relevant fields; knowledge of quantum physics and applied AI required.
  • Other info: This is a talent pool registration for future roles; immediate responses may not be available.

The predicted salary is between 48000 - 84000 £ per year.

Talent Pool Registration At Quantinuum, we have formed a new team to implement our AI strategy. We are now talent pooling for future positions in this team. 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. 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. Research novel AI use cases for quantum program synthesis. Represent the team at scientific and industry conferences. D. in relevant fields or equivalent experience. Experience in applied AI for scientific problems. Knowledge of quantum physics or related fields. Experience with large-scale machine learning and high-performance computing. Work with a talented team, competitive package, equity, paid holidays, pension, flexible working, and parental benefits. Quantinuum is a leading quantum computing company, pioneering hardware and software solutions with around 500 employees.

Machine Learning Scientist / Engineer employer: Quantinuum

At Quantinuum, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the cutting-edge field of quantum computing and AI. Our employees benefit from competitive packages, equity options, flexible working arrangements, and robust parental benefits, all while having the opportunity to work alongside some of the brightest minds in the industry. With a strong focus on employee growth and development, we encourage our team members to explore novel AI use cases and represent us at prestigious scientific and industry conferences.
Q

Contact Detail:

Quantinuum Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Scientist / Engineer

✨Tip Number 1

Network with professionals in the quantum computing and AI fields. Attend relevant conferences, webinars, or meetups to connect with industry experts and learn about potential opportunities at Quantinuum.

✨Tip Number 2

Stay updated on the latest advancements in quantum computing and machine learning. Follow key publications, blogs, and thought leaders to demonstrate your knowledge and passion during any discussions or interviews.

✨Tip Number 3

Engage in online communities and forums related to quantum computing and AI. Contributing to discussions or sharing your insights can help you build a reputation and may catch the attention of recruiters from Quantinuum.

✨Tip Number 4

Consider working on personal projects or collaborations that involve AI applications in quantum computing. Showcasing your hands-on experience and innovative ideas can set you apart when applying for roles in the talent pool.

We think you need these skills to ace Machine Learning Scientist / Engineer

Machine Learning Algorithms
Quantum Computing Knowledge
Statistical Analysis
Programming Skills (Python, C++, etc.)
Data Preprocessing Techniques
High-Performance Computing
Experiment Design
Collaboration with Cross-Functional Teams
Research and Development Skills
Problem-Solving Skills
Communication Skills
Familiarity with AI Frameworks (TensorFlow, PyTorch, etc.)
Understanding of Quantum Mechanics
Adaptability to New Technologies

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities of a Machine Learning Scientist or Engineer at Quantinuum. Familiarise yourself with their AI strategy and how it integrates with quantum computing.

Tailor Your CV: Highlight your relevant experience in applied AI, quantum physics, and large-scale machine learning. Make sure to include specific projects or achievements that demonstrate your skills in these areas.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantum computing and AI. Explain why you want to join Quantinuum and how your background aligns with their mission and values.

Showcase Your Research Experience: If you have experience presenting at conferences or publishing research, be sure to mention this in your application. Highlight any novel AI use cases you've explored, as this is particularly relevant to the role.

How to prepare for a job interview at Quantinuum

✨Showcase Your Technical Skills

Be prepared to discuss your experience with machine learning and quantum computing. Highlight specific projects where you've applied AI techniques to solve scientific problems, as this will demonstrate your capability to contribute to the team.

✨Understand the Company’s Vision

Research Quantinuum's AI strategy and their approach to quantum computing. Being able to articulate how your skills align with their goals will show your genuine interest in the role and the company.

✨Prepare for Problem-Solving Questions

Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, especially those related to circuit compilation or error correction in quantum systems.

✨Demonstrate Collaboration Skills

Since the role involves working closely with ML engineers and quantum scientists, be ready to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked in teams to achieve common goals.

Machine Learning Scientist / Engineer
Quantinuum
Q
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