National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Applied Scientist

Oxford Quantum Circuits
Reading
6 months ago
Applications closed

Related Jobs

View all jobs

Applied Scientist, ATS Machine Learning & Engineering (ML&E)

Applied Scientist, ATS Machine Learning & Engineering

Applied Scientist II - Computer Vision

Research Scientist: Machine Learning

Principal Scientist, Machine Learning

Research Scientists In Machine Learning(Ml)

OQC are looking for someone experienced at data analysis in a research context who is ready to take on a role with the potential to make a significant impact on our cutting edge quantum technology development projects.

Remuneration

  • £50,000 - £60,000 salary per annum
  • 25 Days holiday 
  • Employee Stock Ownership Plan (ESOP)
  • Pension
  • Private medical insurance
  • EAP cash plan
  • Group life and group income protection
  • Hybrid working
  • Cycle to work scheme
  • EV Car Scheme 
  • Gym and wellness benefits

About the Role

The Applied Scientist role will help OQCs Material Science and Device Engineering team to analyse data, and interpret results related to superconducting devices. They will develop data-backed recommendations to guide our team in improvements to the choice of materials and techniques as well as our nanofabrication processes. 

  • Analysing large datasets to extract insights and trends to support the advancement of our material characterisation and fabrication processes for superconducting devices. 
  • Developing scripts that extract information from a variety of data sources and formats
  • Collaborating with cross-functional teams to better understand OQCs data needs, developing data collection systems and providing results-driven recommendations
  • Creating automations for data and KPI tracking 
  • Generating high quality and detailed reports on findings
  • Sharing coding and analysis expertise with the wider team.

Person Specification

Essential skills and experience:

  • Strong background in data science skills, with experience in image processing and statistical methods demonstrated via previous work/research
  • Knowledge of fabrication techniques and characterisation methods for thin films, multilayers, and nano/micro structures.
  • Highly skilled in Python, and related libraries for data management, statistics, and data visualisation tools
  • Effective communication and presentation skills for seamless collaboration across diverse technical teams and levels
  • PhD or Master’s degree in physics, materials science, or a similar field
  • Autonomous motivation and prioritisation of workload
  • Analytical Thinking and attention to detail

Desirable Skills and Experience:

  • Experience working with Machine learning
  • Experience with professional software development
  • Use of code-sharing and control platforms (Git, Bitbucket etc.) 
  • Hands-on experience of experiments and techniques. (metrology, characterisation, fabrication)



Researchhas shown that women are less likely than men to apply for this role if they do not have solid experience in 100% of these areas. Please know that this list is indicative and that we would still love to hear from you even if you feel you only are a 75% match. Skills can be learnt, diversity cannot.

About Our Company

At OQC, we see a brighter future for all, enabled by quantum.

Together we are pioneering cutting-edge quantum computers that unlock transformative discoveries, from advancing drug modelling to revolutionising battery technology. Our mission is to put quantum in the hands of humanity, empowering customers to discover new commercial and scientific frontiers.

When you join OQC, you become part of a diverse team of innovators, creators, and problem solvers. We bring together some of the brightest minds in quantum physics, nanotechnologies, hardware, software and commercial operations. Each team member brings a unique skill set and are united by our values, which guide us in everything we do - how we work, how we collaborate and how we shape the future of our industry.

Are you ready to help us build this future?

APPLY NOW!

Please use the link provided to apply for the role of Applied Scientist.  To aid your application, it will be beneficial to provide us with a cover letter outlining why you think you would be a good fit for the role and what attracts you to OQC. We look forward to hearing from you!

At OQC we are not just hoping you’ll fit in our culture. We aspire to thrive, as a company and as people, thanks to your diversity of thought and background. We are proud to be an equal opportunity employer and we are committed to providing our team members with a work environment free from discrimination, where everyone is treated with respect. Our employment decisions are based on business needs, talent and merit and all our colleagues share in the responsibility for fulfilling our commitment to diversity. We look forward to meeting you!

National AI Awards 2025

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 Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.