Machine Learning Engineer (MLOps) Location: Oxfordshire, UK Permanent HYBRID 3 days per week onsite ARCA Resourcing is partnering with an innovative, established but scaling technology company in Oxfordshire to recruit a Machine Learning Engineer (MLOps). This role offers the opportunity to work at the forefront of advanced computing and emerging technologies, applying modern machine learning techniques to complex scientific and engineering challenges. As a Machine Learning Engineer, you will develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex physical system data into actionable improvements through intelligent data modelling and automation. Key Responsibilities Develop and implement custom machine learning models for signal processing, sensor fusion, and system optimisation Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets Train, validate, and optimise machine learning models using modern Python-based frameworks Integrate ML inference into real-time or near-real-time control environments Stay up to date with the latest developments in machine learning and sensor fusion techniques Interpret and communicate cutting-edge research in both theory and experiment with internal teams Contribute to the wider scientific community through publications, conferences, or technical collaboration Support and mentor colleagues, contributing to a collaborative research and engineering environment Essential Skills & Experience BSc or MSc in Computer Science, Mathematics, Statistics, Physics, Quantum, or a closely related discipline 2+ years of industry experience developing and deploying machine learning models Strong programming skills in Python for machine learning and scientific computing Experience developing, training, and optimising machine learning models Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn Experience working with large datasets and high-performance computing (HPC) environments Strong analytical and problem-solving skills in complex technical environments Ability to communicate effectively with both technical and non-technical stakeholders Comfortable working in collaborative, cross-functional teams within a fast-paced R&D environment Ability to learn complex topics quickly and translate research into practical solutions Desirable Skills & Experience PhD in Computer Science, Mathematics, Statistics, Physics, or a related field Experience deploying machine learning models to edge or embedded compute hardware Experience with MLOps workflows, including continuous training, testing, and deployment pipelines Experience with real-time systems, sensor data processing, or advanced signal processing Exposure to quantum technologies, quantum information science, or quantum machine learning This is a unique opportunity to apply cutting-edge machine learning techniques within a highly technical environment, working alongside experts developing breakthrough technologies. ARCA Resourcing welcomes applications from engineers passionate about using machine learning to solve complex scientific and engineering problems. Please apply via the link for immediate consideration!
Mar 18, 2026
Full time
Machine Learning Engineer (MLOps) Location: Oxfordshire, UK Permanent HYBRID 3 days per week onsite ARCA Resourcing is partnering with an innovative, established but scaling technology company in Oxfordshire to recruit a Machine Learning Engineer (MLOps). This role offers the opportunity to work at the forefront of advanced computing and emerging technologies, applying modern machine learning techniques to complex scientific and engineering challenges. As a Machine Learning Engineer, you will develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex physical system data into actionable improvements through intelligent data modelling and automation. Key Responsibilities Develop and implement custom machine learning models for signal processing, sensor fusion, and system optimisation Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets Train, validate, and optimise machine learning models using modern Python-based frameworks Integrate ML inference into real-time or near-real-time control environments Stay up to date with the latest developments in machine learning and sensor fusion techniques Interpret and communicate cutting-edge research in both theory and experiment with internal teams Contribute to the wider scientific community through publications, conferences, or technical collaboration Support and mentor colleagues, contributing to a collaborative research and engineering environment Essential Skills & Experience BSc or MSc in Computer Science, Mathematics, Statistics, Physics, Quantum, or a closely related discipline 2+ years of industry experience developing and deploying machine learning models Strong programming skills in Python for machine learning and scientific computing Experience developing, training, and optimising machine learning models Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn Experience working with large datasets and high-performance computing (HPC) environments Strong analytical and problem-solving skills in complex technical environments Ability to communicate effectively with both technical and non-technical stakeholders Comfortable working in collaborative, cross-functional teams within a fast-paced R&D environment Ability to learn complex topics quickly and translate research into practical solutions Desirable Skills & Experience PhD in Computer Science, Mathematics, Statistics, Physics, or a related field Experience deploying machine learning models to edge or embedded compute hardware Experience with MLOps workflows, including continuous training, testing, and deployment pipelines Experience with real-time systems, sensor data processing, or advanced signal processing Exposure to quantum technologies, quantum information science, or quantum machine learning This is a unique opportunity to apply cutting-edge machine learning techniques within a highly technical environment, working alongside experts developing breakthrough technologies. ARCA Resourcing welcomes applications from engineers passionate about using machine learning to solve complex scientific and engineering problems. Please apply via the link for immediate consideration!
At OQC, we're building the quantum computers that will power the next generation of scientific discovery and commercial innovation. Our mission is to put quantum in the hands of humanity - and we're looking for exceptional engineers to help us do it. We are seeking a Senior Software Engineer to join our growing Compiler team and shape the future of our compiler stack. This is a hands on role where you will own complex technical challenges, shape architectural decisions, and mentor other engineers while applying your expertise in classical compilers to the cutting edge of quantum computing. The Role The Senior Software Engineer plays a pivotal role in designing, building and delivering the advanced software systems that underpin the production and operation of OQC's quantum computers. This role owns complex technical challenges end to end; from gathering requirements and architecting robust solutions through to prototyping, deployment and production support, ensuring software is scalable, high performance and fit for purpose in a cutting edge quantum environment. Beyond hands on engineering, the role provides technical leadership, setting direction on architecture and best practice, balancing technical risk against business progress, mentoring and up skilling other engineers, and driving high standards in quality, performance and security. This is a role for someone who not only solves deep technical problems, but shapes how those problems are approached across the organisation. What you'll be working on: Own: Lead the end to end software development lifecycle within OQC's compiler development, from requirements gathering and solution design through to deployment and production support. Architect: Design scalable, high performance software solutions to support our long term technical strategy. Prioritise: Independently set development priorities within the compiler team, balancing cross functional dependencies, resource constraints and delivery milestones. Guide: Assign tasks, mentor engineers and proactively remove blockers, ensuring technical challenges are identified early and resolved effectively. Resolve: Debug and take ownership of complex development and production issues, managing escalations and driving problems through to robust, permanent solutions. Assure: Uphold high standards in code quality, testing, documentation, security and non functional performance requirements across all deliverables. Collaborate: Partner with internal stakeholders to translate technical requirements into practical, fit for purpose solutions. Improve: Continuously evaluate tools, frameworks and industry trends, recommending and implementing improvements that strengthen engineering capability and product quality. What We're Looking For We value strong fundamentals, technical curiosity, and a passion for challenging problems. Coding skills: Extensive knowledge of Python is essential Classical Compilers: Knowledge and experience of LLVM based compiler techniques Low Level Programming Languages: Excellent knowledge of C/C++ or other low level programming languages such as Rust Solid Foundational Knowledge: Understanding of Computing Science concepts (OOAD / Code Structure, Algorithms and Data Structures, Operating Systems, Networking). Project Lifecycle Ownership: Design complex new systems from the requirements to production ideally in an agile environment. Mentoring: Proven ability to coach others in complex areas to upskill their technical performance Commitment to Quality: Knowledge of QA as applied to software and products The "Nice to Haves" Experience with Embedded software and/or working close to the hardware control systems. Knowledge or experience of signal processing Why Join OQC? At OQC, you'll work shoulder to shoulder with world class scientists, engineers and technologists who are redefining what's computationally possible. This is a rare opportunity to apply your expertise to genuinely cutting edge technology that moves beyond theory and into real world impact - solving meaningful problems across science, industry and society. If you're motivated by deep technical challenges, collaborative excellence, and the chance to help shape the future of quantum computing, OQC offers a place where your work will truly matter. Learn more about our benefits and positive work culture here: Closing date for applications: Friday 13th March
Mar 15, 2026
Full time
At OQC, we're building the quantum computers that will power the next generation of scientific discovery and commercial innovation. Our mission is to put quantum in the hands of humanity - and we're looking for exceptional engineers to help us do it. We are seeking a Senior Software Engineer to join our growing Compiler team and shape the future of our compiler stack. This is a hands on role where you will own complex technical challenges, shape architectural decisions, and mentor other engineers while applying your expertise in classical compilers to the cutting edge of quantum computing. The Role The Senior Software Engineer plays a pivotal role in designing, building and delivering the advanced software systems that underpin the production and operation of OQC's quantum computers. This role owns complex technical challenges end to end; from gathering requirements and architecting robust solutions through to prototyping, deployment and production support, ensuring software is scalable, high performance and fit for purpose in a cutting edge quantum environment. Beyond hands on engineering, the role provides technical leadership, setting direction on architecture and best practice, balancing technical risk against business progress, mentoring and up skilling other engineers, and driving high standards in quality, performance and security. This is a role for someone who not only solves deep technical problems, but shapes how those problems are approached across the organisation. What you'll be working on: Own: Lead the end to end software development lifecycle within OQC's compiler development, from requirements gathering and solution design through to deployment and production support. Architect: Design scalable, high performance software solutions to support our long term technical strategy. Prioritise: Independently set development priorities within the compiler team, balancing cross functional dependencies, resource constraints and delivery milestones. Guide: Assign tasks, mentor engineers and proactively remove blockers, ensuring technical challenges are identified early and resolved effectively. Resolve: Debug and take ownership of complex development and production issues, managing escalations and driving problems through to robust, permanent solutions. Assure: Uphold high standards in code quality, testing, documentation, security and non functional performance requirements across all deliverables. Collaborate: Partner with internal stakeholders to translate technical requirements into practical, fit for purpose solutions. Improve: Continuously evaluate tools, frameworks and industry trends, recommending and implementing improvements that strengthen engineering capability and product quality. What We're Looking For We value strong fundamentals, technical curiosity, and a passion for challenging problems. Coding skills: Extensive knowledge of Python is essential Classical Compilers: Knowledge and experience of LLVM based compiler techniques Low Level Programming Languages: Excellent knowledge of C/C++ or other low level programming languages such as Rust Solid Foundational Knowledge: Understanding of Computing Science concepts (OOAD / Code Structure, Algorithms and Data Structures, Operating Systems, Networking). Project Lifecycle Ownership: Design complex new systems from the requirements to production ideally in an agile environment. Mentoring: Proven ability to coach others in complex areas to upskill their technical performance Commitment to Quality: Knowledge of QA as applied to software and products The "Nice to Haves" Experience with Embedded software and/or working close to the hardware control systems. Knowledge or experience of signal processing Why Join OQC? At OQC, you'll work shoulder to shoulder with world class scientists, engineers and technologists who are redefining what's computationally possible. This is a rare opportunity to apply your expertise to genuinely cutting edge technology that moves beyond theory and into real world impact - solving meaningful problems across science, industry and society. If you're motivated by deep technical challenges, collaborative excellence, and the chance to help shape the future of quantum computing, OQC offers a place where your work will truly matter. Learn more about our benefits and positive work culture here: Closing date for applications: Friday 13th March
Toshiba Europe Ltd have been at the forefront of research in quantum technology, particularly quantum communications and quantum key distribution (QKD) for the past two decades. During this time they have made many breakthroughs, such as record high quantum communication bit rates, seamless classical-quantum network integration and the invention of new approaches for record long distances. Recently, Toshiba launched a new business unit to commercialise research outcomes and Toshiba QKD systems are now deployed in telecommunication networks across the world. We invite applications for a Research Scientist (or Senior Research Scientist, depending on experience) position at the Cambridge Research Laboratory, working in the area of next-generation fibre optic quantum communication systems with significantly enhanced performance and new functionality, including new protocols such as Twin Field QKD (TF QKD). The successful candidate will join a dynamic team and play a leading role in developing new quantum communication technologies, leveraging ideas across the fields of quantum, optics, electronics and communications to design, conduct and analyse frontier quantum experiments. Research outcomes will be published in leading academic journals and presented at international conferences, alongside technology transfer to Toshiba's quantum business division. Responsibilities Devising new schemes and building prototypes for quantum communications, QKD, TF QKD and quantum networking Building optical systems including lasers, modulators, detectors, optical fibres etc. and interfacing with high speed RF electronics Designing and implementing software to control experimental set ups and to simulate optical/quantum systems Interfacing with other team members to coordinate supporting high speed RF electronics and programmable logic (FPGA) Mentoring PhD students and junior staff Analysing experimental data, writing scientific papers, and delivering technical presentations, internally and internationally Communicating with collaborators in the UK, Europe and Japan Skills & Experience - Essential PhD in Physics, Electronic Engineering or related discipline Several years of hands on research experience in optical and/or quantum systems Proven competence developing experimental setups using optical and electronic hardware Track record of impactful research in photonic/quantum systems or devices Deep knowledge of optics, fibre optics and electronics Good communication skills, both written and verbal Enthusiasm to learn new skills and pursue new knowledge, and a self starter team player mindset Skills & Experience - Desirable Knowledge and experience of quantum technologies, especially QKD Understanding of optical communications, networking and/or cryptography Competence in one or more software programming languages (e.g. Python) and version control platforms (e.g. git) Electronics design experience (e.g. PCB design / FPGA development)
Mar 13, 2026
Full time
Toshiba Europe Ltd have been at the forefront of research in quantum technology, particularly quantum communications and quantum key distribution (QKD) for the past two decades. During this time they have made many breakthroughs, such as record high quantum communication bit rates, seamless classical-quantum network integration and the invention of new approaches for record long distances. Recently, Toshiba launched a new business unit to commercialise research outcomes and Toshiba QKD systems are now deployed in telecommunication networks across the world. We invite applications for a Research Scientist (or Senior Research Scientist, depending on experience) position at the Cambridge Research Laboratory, working in the area of next-generation fibre optic quantum communication systems with significantly enhanced performance and new functionality, including new protocols such as Twin Field QKD (TF QKD). The successful candidate will join a dynamic team and play a leading role in developing new quantum communication technologies, leveraging ideas across the fields of quantum, optics, electronics and communications to design, conduct and analyse frontier quantum experiments. Research outcomes will be published in leading academic journals and presented at international conferences, alongside technology transfer to Toshiba's quantum business division. Responsibilities Devising new schemes and building prototypes for quantum communications, QKD, TF QKD and quantum networking Building optical systems including lasers, modulators, detectors, optical fibres etc. and interfacing with high speed RF electronics Designing and implementing software to control experimental set ups and to simulate optical/quantum systems Interfacing with other team members to coordinate supporting high speed RF electronics and programmable logic (FPGA) Mentoring PhD students and junior staff Analysing experimental data, writing scientific papers, and delivering technical presentations, internally and internationally Communicating with collaborators in the UK, Europe and Japan Skills & Experience - Essential PhD in Physics, Electronic Engineering or related discipline Several years of hands on research experience in optical and/or quantum systems Proven competence developing experimental setups using optical and electronic hardware Track record of impactful research in photonic/quantum systems or devices Deep knowledge of optics, fibre optics and electronics Good communication skills, both written and verbal Enthusiasm to learn new skills and pursue new knowledge, and a self starter team player mindset Skills & Experience - Desirable Knowledge and experience of quantum technologies, especially QKD Understanding of optical communications, networking and/or cryptography Competence in one or more software programming languages (e.g. Python) and version control platforms (e.g. git) Electronics design experience (e.g. PCB design / FPGA development)
A leading research institution in Oxford is looking for Quantum Scientists to join their UK Science team. Ideal candidates will have a PhD in physics or a related field and a solid background in quantum control. Responsibilities include prototyping control schemes, calibrating quantum systems, and analyzing experimental data. The position provides a chance to work alongside experts in quantum technology, receive competitive compensation, and benefits like hybrid work options, medical insurance, and stock options.
Mar 13, 2026
Full time
A leading research institution in Oxford is looking for Quantum Scientists to join their UK Science team. Ideal candidates will have a PhD in physics or a related field and a solid background in quantum control. Responsibilities include prototyping control schemes, calibrating quantum systems, and analyzing experimental data. The position provides a chance to work alongside experts in quantum technology, receive competitive compensation, and benefits like hybrid work options, medical insurance, and stock options.
Description Quantum is now, and it's built here. Oxford Ionics, now part of IonQ, is pioneering the next generation of quantum computing. Using our world leading trapped ion technology, we're building the most powerful, accurate and reliable quantum systems to tackle problems that today's supercomputers cannot solve. Joining Oxford Ionics means becoming part of a global IonQ team that is transforming the future of quantum technology - faster, at scale, and with real world impact. What to expect We are looking for Quantum Scientists to join our UK Science team at Oxford Ionics. Our Quantum Scientists work at the forefront of our research efforts to develop the next generation of quantum computers. They are responsible for validating and optimising the performance of our computers, playing a critical role in ensuring we can meet our research and development goals and timelines. Our Scientists' work spans a broad range of areas from designing, coding, debugging and executing experiments, to developing and validating novel control schemes. They are responsible for documenting and sharing their findings with the aim of pushing the boundaries of system performance. What you'll be responsible for As a Quantum Scientist, you will typically be responsible for a subset of the following responsibilities: Prototyping and characterising coherent control and cooling schemes for trapped ion qubits using laser and microwave fields. Calibrating and benchmarking quantum systems, focusing on achieving the highest fidelities for quantum circuit primitives (e.g. ion transport or gate operations) and full circuits. Validating emerging trap technologies, including integrated electronics and photonics for large scale architectures. Analysing experimental data, debug complex hardware/software interactions, and ensure reliability of qubit operations. Requirements To be successful in this role, you will need a PhD in physics or a related discipline, with a strong foundation in atomic or qubit related physics. Prior postdoctoral or industry experience is valuable, but we are open to applicants moving directly from a PhD. We're looking for someone with a solid background in quantum control, and hands on experience in calibration, benchmarking, or coherent control of qubits, would be desirable. We're looking for motivated scientists who can contribute to the progress of this fast moving, highly technical team and help the organisation meet our research goals. Proven expertise in experimental AMO physics or quantum computing. Experience with trapped ions is beneficial though not essential. Prior experience in one or more of the following: spectroscopy or coherent control of multi level systems, characterisation of control hardware, gate fidelity benchmarking or running quantum circuits on hardware. Strong proficiency in programming and data analysis, experience of Python or Rust is desirable. Strong collaborative skills, with the ability to work independently and as part of a fast-moving team. A track record of scientific communication through publications, talks and conferences would be advantageous. Benefits Be part of a team that's shaping the future of quantum. We offer more than just a role, you'll join a world class community of scientists, engineers and innovators working to unlock the full potential of quantum computing. We offer a range of benefits, including opportunities to further your career alongside industry leaders, a competitive salary with IonQ stock options, an annual performance bonus, generous annual leave, flexible hybrid working, private medical and dental insurance for you and your family, and much more. Join us and be part of the future of quantum computing. We're proud to be an equal opportunity employer and welcome applicants from all backgrounds.
Mar 13, 2026
Full time
Description Quantum is now, and it's built here. Oxford Ionics, now part of IonQ, is pioneering the next generation of quantum computing. Using our world leading trapped ion technology, we're building the most powerful, accurate and reliable quantum systems to tackle problems that today's supercomputers cannot solve. Joining Oxford Ionics means becoming part of a global IonQ team that is transforming the future of quantum technology - faster, at scale, and with real world impact. What to expect We are looking for Quantum Scientists to join our UK Science team at Oxford Ionics. Our Quantum Scientists work at the forefront of our research efforts to develop the next generation of quantum computers. They are responsible for validating and optimising the performance of our computers, playing a critical role in ensuring we can meet our research and development goals and timelines. Our Scientists' work spans a broad range of areas from designing, coding, debugging and executing experiments, to developing and validating novel control schemes. They are responsible for documenting and sharing their findings with the aim of pushing the boundaries of system performance. What you'll be responsible for As a Quantum Scientist, you will typically be responsible for a subset of the following responsibilities: Prototyping and characterising coherent control and cooling schemes for trapped ion qubits using laser and microwave fields. Calibrating and benchmarking quantum systems, focusing on achieving the highest fidelities for quantum circuit primitives (e.g. ion transport or gate operations) and full circuits. Validating emerging trap technologies, including integrated electronics and photonics for large scale architectures. Analysing experimental data, debug complex hardware/software interactions, and ensure reliability of qubit operations. Requirements To be successful in this role, you will need a PhD in physics or a related discipline, with a strong foundation in atomic or qubit related physics. Prior postdoctoral or industry experience is valuable, but we are open to applicants moving directly from a PhD. We're looking for someone with a solid background in quantum control, and hands on experience in calibration, benchmarking, or coherent control of qubits, would be desirable. We're looking for motivated scientists who can contribute to the progress of this fast moving, highly technical team and help the organisation meet our research goals. Proven expertise in experimental AMO physics or quantum computing. Experience with trapped ions is beneficial though not essential. Prior experience in one or more of the following: spectroscopy or coherent control of multi level systems, characterisation of control hardware, gate fidelity benchmarking or running quantum circuits on hardware. Strong proficiency in programming and data analysis, experience of Python or Rust is desirable. Strong collaborative skills, with the ability to work independently and as part of a fast-moving team. A track record of scientific communication through publications, talks and conferences would be advantageous. Benefits Be part of a team that's shaping the future of quantum. We offer more than just a role, you'll join a world class community of scientists, engineers and innovators working to unlock the full potential of quantum computing. We offer a range of benefits, including opportunities to further your career alongside industry leaders, a competitive salary with IonQ stock options, an annual performance bonus, generous annual leave, flexible hybrid working, private medical and dental insurance for you and your family, and much more. Join us and be part of the future of quantum computing. We're proud to be an equal opportunity employer and welcome applicants from all backgrounds.
Put simply, we set the standards by which everything is measured. In doing so, the National Physical Laboratory is helping to combat issues on a global scale such as climate change, curing diseases and the development of cutting edge communications technology. At NPL, we touch ordinary lives in extraordinary ways and you could too. Research sits at the very core of our business. This is your chance to make an impact to our ground breaking work as you apply your established knowledge and solutions to a range of technical activities. As we're always looking to stretch our capabilities, we'll look to you to spot potential commercial opportunities and to help raise our profile as and when you can. We work as a team here, so any learnings you do make, we'll expect you to share to support in our continued development (you might also turn your hand to mentoring more junior members too). Naturally, you'll keep your technical knowledge up to speed with the latest advances and take responsibility for completing your work to the highest standards, on time and within budget. Qualifications Rydberg quantum sensing, communications and signal processing Cryogenic 4K on wafer probing, RF and microwave measurements Experience in RF and microwave on wafer measurements, preferably under cryogenic conditions Expertise in commissioning, operating and maintaining cryogenic systems such as dilution refrigerators with some experience in guided RF and microwave measurements Experience on non linear RF measurements and RF noise measurement Ideally, the candidate should have a theoretical and practical understanding of electromagnetics and quantum sciences, expertise in measurement calibration, strong scientific problem solving skills, proficiency in report and paper writing, and the ability to generate creative ideas in an R&D environment. Work within established Health & Safety, and Quality systems to safely produce accurate and repeatable results. Good spoken and written communications skills and the ability to collaborate with colleagues from diverse backgrounds to help us achieve our goals. Ability to plan and deliver against agreed time, cost and quality needs. Evidence of the ability to complete work that requires a high level of attention to detail. Enjoy problem solving and can demonstrate critical thinking, assessing the pros and cons of your approach. At NPL we learn from each other, respect each other and work together to do better. For ourselves and for our customers. And whilst we're always looking to stretch beyond what we know, we don't make things more complicated when there's no need. We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain a minim of BPSS security clearance. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as possible.
Mar 13, 2026
Full time
Put simply, we set the standards by which everything is measured. In doing so, the National Physical Laboratory is helping to combat issues on a global scale such as climate change, curing diseases and the development of cutting edge communications technology. At NPL, we touch ordinary lives in extraordinary ways and you could too. Research sits at the very core of our business. This is your chance to make an impact to our ground breaking work as you apply your established knowledge and solutions to a range of technical activities. As we're always looking to stretch our capabilities, we'll look to you to spot potential commercial opportunities and to help raise our profile as and when you can. We work as a team here, so any learnings you do make, we'll expect you to share to support in our continued development (you might also turn your hand to mentoring more junior members too). Naturally, you'll keep your technical knowledge up to speed with the latest advances and take responsibility for completing your work to the highest standards, on time and within budget. Qualifications Rydberg quantum sensing, communications and signal processing Cryogenic 4K on wafer probing, RF and microwave measurements Experience in RF and microwave on wafer measurements, preferably under cryogenic conditions Expertise in commissioning, operating and maintaining cryogenic systems such as dilution refrigerators with some experience in guided RF and microwave measurements Experience on non linear RF measurements and RF noise measurement Ideally, the candidate should have a theoretical and practical understanding of electromagnetics and quantum sciences, expertise in measurement calibration, strong scientific problem solving skills, proficiency in report and paper writing, and the ability to generate creative ideas in an R&D environment. Work within established Health & Safety, and Quality systems to safely produce accurate and repeatable results. Good spoken and written communications skills and the ability to collaborate with colleagues from diverse backgrounds to help us achieve our goals. Ability to plan and deliver against agreed time, cost and quality needs. Evidence of the ability to complete work that requires a high level of attention to detail. Enjoy problem solving and can demonstrate critical thinking, assessing the pros and cons of your approach. At NPL we learn from each other, respect each other and work together to do better. For ourselves and for our customers. And whilst we're always looking to stretch beyond what we know, we don't make things more complicated when there's no need. We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain a minim of BPSS security clearance. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as possible.
Toshiba Europe Ltd have been at the forefront of research in quantum technology, particularly quantum communications and semiconductor quantum devices for the past two decades. During this time, they have made many breakthroughs, such as the first single and entangled photon LEDs, and the first GHz operation of 1550nm single photon avalanche diodes. We are inviting applications for a Research Scientist to join our team and advance the development of solid state quantum emitters for next generation quantum technologies. The successful applicant will design, develop, and characterise quantum emitter platforms and explore their integration into photonic systems. The role requires a strong understanding of light-matter interaction and hands on experience with control of quantum emitters. Experience with spin qubit physics, including coherent control and spin photon interfacing, is highly desirable. Responsibilities: Development and characterisation of solid state quantum emitters Investigation of spin qubit properties Development of software for experimental control and data acquisition Build and maintain high-performance experimental setups Engagement with academic and industrial partners, and dissemination through scientific publications Working as part of a team, and with partners in academia and industry Essential requirements: PhD in Physics, Electrical Engineering, or a related discipline Proven hands on experience with at least one solid state quantum emitter platform (e.g., semiconductor quantum dots, colour centres, atomic like defects, or similar) Strong understanding of quantum optics and light-matter interaction Experience with optical spectroscopy, emitter characterisation, or spin qubit measurements Experience in assembly and control of complex experimental systems Good knowledge of computer control programming environments, e.g., LabVIEW/Python Capability of both creative, independent work and working within an interactive team. Desire to acquire new skills and work with new technologies Desirable requirements: Experience with cryogenic or high vacuum technology Knowledge of semiconductor device fabrication or nanophotonics
Mar 12, 2026
Full time
Toshiba Europe Ltd have been at the forefront of research in quantum technology, particularly quantum communications and semiconductor quantum devices for the past two decades. During this time, they have made many breakthroughs, such as the first single and entangled photon LEDs, and the first GHz operation of 1550nm single photon avalanche diodes. We are inviting applications for a Research Scientist to join our team and advance the development of solid state quantum emitters for next generation quantum technologies. The successful applicant will design, develop, and characterise quantum emitter platforms and explore their integration into photonic systems. The role requires a strong understanding of light-matter interaction and hands on experience with control of quantum emitters. Experience with spin qubit physics, including coherent control and spin photon interfacing, is highly desirable. Responsibilities: Development and characterisation of solid state quantum emitters Investigation of spin qubit properties Development of software for experimental control and data acquisition Build and maintain high-performance experimental setups Engagement with academic and industrial partners, and dissemination through scientific publications Working as part of a team, and with partners in academia and industry Essential requirements: PhD in Physics, Electrical Engineering, or a related discipline Proven hands on experience with at least one solid state quantum emitter platform (e.g., semiconductor quantum dots, colour centres, atomic like defects, or similar) Strong understanding of quantum optics and light-matter interaction Experience with optical spectroscopy, emitter characterisation, or spin qubit measurements Experience in assembly and control of complex experimental systems Good knowledge of computer control programming environments, e.g., LabVIEW/Python Capability of both creative, independent work and working within an interactive team. Desire to acquire new skills and work with new technologies Desirable requirements: Experience with cryogenic or high vacuum technology Knowledge of semiconductor device fabrication or nanophotonics
A leading technology company is seeking a Research Scientist to work at their Cambridge Research Laboratory on next-generation quantum communication systems. The ideal candidate will hold a PhD and have extensive experience in optical and quantum systems. Responsibilities include developing prototypes, mentoring students, and publishing research. The role offers the opportunity to contribute to groundbreaking work in quantum technology, enhancing both academic and commercial research outcomes.
Mar 12, 2026
Full time
A leading technology company is seeking a Research Scientist to work at their Cambridge Research Laboratory on next-generation quantum communication systems. The ideal candidate will hold a PhD and have extensive experience in optical and quantum systems. Responsibilities include developing prototypes, mentoring students, and publishing research. The role offers the opportunity to contribute to groundbreaking work in quantum technology, enhancing both academic and commercial research outcomes.
With over two decades of research, innovation and development, Toshiba is at the forefront of quantum science and technology. In quantum communications, Toshiba commercial quantum key distribution systems offer the highest key rates on the market and play a major role in the worldwide deployment of secure quantum networks. Photonic integrated circuits are set to revolutionize the architecture and capabilities of such systems and enable large-scale networks by integrating the quantum optical hardware onto miniature photonic chips. We are currently inviting applications for a Research Scientist to join our quantum photonic integration programme. The successful candidate will take a leading role in the development of novel photonic integrated chips with cutting edge performance for quantum key distribution, quantum networks and wider quantum applications. The devices will be validated in state of the art experiments and integrated into research prototypes under realistic settings. Research outcomes will be published in leading journals and presented at renowned international conferences. Responsibilities Photonic chip development Devise and implement new concepts for photonic chips for quantum communications Conceptualize new experiments and new protocols for quantum communications Measure, characterize, validate and optimize the performance of photonic chips and demonstrate their capabilities with large scale deployment Understand the framework of security analysis for quantum key distribution and quantum random number generation System integration Work within a multi-disciplinary team to develop innovative approaches for packaging and system integration of quantum photonic chips, including optical and electrical interconnect, electronic control, high-speed signal processing, software and firmware Develop system control, automation, synchronisation, simulation, and data analysis. Develop and operate research-grade systems Collaboration & Dissemination Analyse experimental data and communicate findings through scientific publications, internal reviews, and international conferences. Collaborate with industrial partners and academic groups across the UK, Europe, and Japan. Mentor PhD students and early career staff researchers. Skills and experience - essential PhD in Physics, Photonics, Electronic Engineering, or a closely related field. Research experience with relevant technology such as: Photonic integration, hybrid integration, design, simulations, modelling and measurements of photonic chips Quantum communications, quantum key distribution, quantum networks. High-speed coherent optical communications Experience with RF test and measurements. Competence in Python, Matlab, Labview or similar languages. Ability to work both independently and collaboratively in multi-disciplinary team. Excellent technical presentation skills, both written and oral. Proactive with strong organisational skills and strong communication stills Skills and experience - desirable Experience with quantum key distribution theory and security analysis Experience with electronics design (PCB development, FPGA programming, high speed electronics). Experience with patent applications
Mar 12, 2026
Full time
With over two decades of research, innovation and development, Toshiba is at the forefront of quantum science and technology. In quantum communications, Toshiba commercial quantum key distribution systems offer the highest key rates on the market and play a major role in the worldwide deployment of secure quantum networks. Photonic integrated circuits are set to revolutionize the architecture and capabilities of such systems and enable large-scale networks by integrating the quantum optical hardware onto miniature photonic chips. We are currently inviting applications for a Research Scientist to join our quantum photonic integration programme. The successful candidate will take a leading role in the development of novel photonic integrated chips with cutting edge performance for quantum key distribution, quantum networks and wider quantum applications. The devices will be validated in state of the art experiments and integrated into research prototypes under realistic settings. Research outcomes will be published in leading journals and presented at renowned international conferences. Responsibilities Photonic chip development Devise and implement new concepts for photonic chips for quantum communications Conceptualize new experiments and new protocols for quantum communications Measure, characterize, validate and optimize the performance of photonic chips and demonstrate their capabilities with large scale deployment Understand the framework of security analysis for quantum key distribution and quantum random number generation System integration Work within a multi-disciplinary team to develop innovative approaches for packaging and system integration of quantum photonic chips, including optical and electrical interconnect, electronic control, high-speed signal processing, software and firmware Develop system control, automation, synchronisation, simulation, and data analysis. Develop and operate research-grade systems Collaboration & Dissemination Analyse experimental data and communicate findings through scientific publications, internal reviews, and international conferences. Collaborate with industrial partners and academic groups across the UK, Europe, and Japan. Mentor PhD students and early career staff researchers. Skills and experience - essential PhD in Physics, Photonics, Electronic Engineering, or a closely related field. Research experience with relevant technology such as: Photonic integration, hybrid integration, design, simulations, modelling and measurements of photonic chips Quantum communications, quantum key distribution, quantum networks. High-speed coherent optical communications Experience with RF test and measurements. Competence in Python, Matlab, Labview or similar languages. Ability to work both independently and collaboratively in multi-disciplinary team. Excellent technical presentation skills, both written and oral. Proactive with strong organisational skills and strong communication stills Skills and experience - desirable Experience with quantum key distribution theory and security analysis Experience with electronics design (PCB development, FPGA programming, high speed electronics). Experience with patent applications
Huawei Technologies Research & Development (UK) Ltd
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric Inspiring dedication Persevering Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary Research and develop AI-driven systems for autonomous materials discovery, with focus on crystal structure prediction and property optimization. Design hybrid world models combining symbolic physics simulators with neural surrogates, and implement LLM-guided search algorithms coordinated through reinforcement learning and Bayesian optimization frameworks targeting accelerated discovery of superconductors, catalysts, and functional materials. Bridge the sim-to-real gap by integrating computational chemistry tools (DFT, molecular dynamics) with autonomous laboratory feedback loops for closed-loop experimentation and model refinement. Key Responsibilities: Conduct original research at the intersection of materials science and machine learning, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, Nature Materials, JACS, Physical Review). Design and implement algorithms for materials discovery using reinforcement learning, Bayesian optimization, and LLM-guided search. Develop and validate world models for materials systems, including hybrid symbolic-neural simulators and surrogate models for expensive quantum mechanical calculations. Collaborate with domain experts to translate materials science problems into computational frameworks and validate results against experimental data. Actively engage with both the ML and materials research communities through publications, open-source contributions, and cross-disciplinary collaboration. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: Master's or PhD (or currently pursuing) in Materials Science, Computational Chemistry, Chemical Physics, or related field, with demonstrated exposure to machine learning applications. Strong foundation in crystallography, solid-state chemistry, or computational materials science (DFT, molecular dynamics, structure-property relationships). Familiarity with at least one of the following ML areas: Reinforcement learning, Bayesian optimization, world models, or LLM applications. Proficiency in Python and experience with scientific computing libraries and at least one ML framework (PyTorch, JAX, or TensorFlow). Ability to work in a fast-paced, research-oriented environment bridging materials science and AI. Passion for applying AI to accelerate scientific discovery in the physical sciences. Desired: Publications in materials science, chemistry, or physics journals (e.g., Nature Materials, Advanced Materials, JACS, Physical Review) or at ML/AI conferences. Hands-on experience with computational chemistry tools. Experience with materials databases and high-throughput computational screening. Familiarity with graph neural networks for materials or surrogate modeling techniques. Knowledge of autonomous laboratories, robotic experimentation, or closed-loop optimization in physical sciences. Active GitHub portfolio showcasing materials informatics or AI-for-science projects. Understanding of structure prediction methods (genetic algorithms, particle swarm, basin hopping) and their limitations.
Mar 11, 2026
Full time
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric Inspiring dedication Persevering Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary Research and develop AI-driven systems for autonomous materials discovery, with focus on crystal structure prediction and property optimization. Design hybrid world models combining symbolic physics simulators with neural surrogates, and implement LLM-guided search algorithms coordinated through reinforcement learning and Bayesian optimization frameworks targeting accelerated discovery of superconductors, catalysts, and functional materials. Bridge the sim-to-real gap by integrating computational chemistry tools (DFT, molecular dynamics) with autonomous laboratory feedback loops for closed-loop experimentation and model refinement. Key Responsibilities: Conduct original research at the intersection of materials science and machine learning, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, Nature Materials, JACS, Physical Review). Design and implement algorithms for materials discovery using reinforcement learning, Bayesian optimization, and LLM-guided search. Develop and validate world models for materials systems, including hybrid symbolic-neural simulators and surrogate models for expensive quantum mechanical calculations. Collaborate with domain experts to translate materials science problems into computational frameworks and validate results against experimental data. Actively engage with both the ML and materials research communities through publications, open-source contributions, and cross-disciplinary collaboration. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: Master's or PhD (or currently pursuing) in Materials Science, Computational Chemistry, Chemical Physics, or related field, with demonstrated exposure to machine learning applications. Strong foundation in crystallography, solid-state chemistry, or computational materials science (DFT, molecular dynamics, structure-property relationships). Familiarity with at least one of the following ML areas: Reinforcement learning, Bayesian optimization, world models, or LLM applications. Proficiency in Python and experience with scientific computing libraries and at least one ML framework (PyTorch, JAX, or TensorFlow). Ability to work in a fast-paced, research-oriented environment bridging materials science and AI. Passion for applying AI to accelerate scientific discovery in the physical sciences. Desired: Publications in materials science, chemistry, or physics journals (e.g., Nature Materials, Advanced Materials, JACS, Physical Review) or at ML/AI conferences. Hands-on experience with computational chemistry tools. Experience with materials databases and high-throughput computational screening. Familiarity with graph neural networks for materials or surrogate modeling techniques. Knowledge of autonomous laboratories, robotic experimentation, or closed-loop optimization in physical sciences. Active GitHub portfolio showcasing materials informatics or AI-for-science projects. Understanding of structure prediction methods (genetic algorithms, particle swarm, basin hopping) and their limitations.
About The Role and Team This role focuses upon tailoring high-level quantum algorithms to run on our hardware. Successful candidates will be familiar with the established toolset of quantum algorithms and understand the compilation tools required to map circuits to a target gate set. With consideration of various quantum error correction schemes and the specifics of Quantum Motion hardware, you will research and develop processes to run circuits on target architectures while monitoring the resources consumed. Candidates should have experience working with the surface code and the use of factories to produce resource states. This role does not require prior understanding of Quantum Motion's silicon-spin hardware platform, with knowledge expected to develop on the job while working with other researchers in the team. This role will provide a critical interface between applications and hardware development at Quantum Motion, allowing us to identify algorithms that are compatible with future iterations of our hardware. In addition to an established research background, we are looking for candidates with strong communication skills who can discuss with both applications and error correction / architecture researchers to understand capabilities. This role will involve working with in-house software engineers to automate the algorithms compilation process, primarily through the Python-based ecosystem of quantum software libraries. This is therefore a rare and exciting opportunity to be an early employee at a start-up shaping the future of quantum computing. Being a small team and having a flat structure, this is a great opportunity to contribute to new developments within the field. There are multiple opportunities for professional growth and to make impacts within the company. Our Team Since 2021 our team has been listed every year in the "Top 100 Startups worth watching"in the EE Times, and our technology breakthroughs have been featured in The Telegraph, BBC and the New Statesman. Our founders are internationally renowned researchers from UCL and Oxford University who have pioneered the development of qubits and quantum computing architectures. Our chairman is the co-founder of Cadence and Synopsys, the two leading companies in the area of Electronic Design Automation. We're backed by a team of top-tier investors including Bosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £62 million in equity and grant funding. We bring together the brightest quantum engineers, integrated circuit (IC) engineers, quantum computing theoreticians and software engineers to create a unique, world-leading team, working together closely to maximise our combined expertise. Our collaborative and interdisciplinary culture is an ideal fit for anyone who thrives in a cutting edge research and development environment focused on tackling big challenges and contributing to the development of scalable quantum computers based on silicon technology. Our team of 100+ is based in London and Oxford, with international offices in Australia (Sydney) and Spain (SanSebastián). Functions of the Role Develop processes to map high-level quantum algorithms to a hardware-compatible instruction set to realise fault-tolerant computation. Understand the tradeoffs between various quantum error correction tools and identify the best choice. Be familiar with architecture-level requirements and capabilities and factor them into the algorithm-to-hardware breakdown. Carefully account for the resources required to run a target algorithm, including the number of qubits and the runtime. Work with other researchers at the company to identify new directions and communicate constraints of existing approaches. Work with software engineers at the company to automate parts of the process. Present research results at internal and external meetings and events Experience - Essentials Top tier education and PhD in physics, maths, computer science, or a related discipline. Track record of research into quantum computing, including work on applications and algorithms, architectures, or quantum error correction. Knowledge of commonly-used algorithmic techniques, such as quantum phase estimation, block encodings, amplitude amplification, etc. Familiarity with common error correction techniques, including surface codes and magic state distillation. Experience with writing up results in reports or scientific journals. Ability to clearly present scientific work to both technical and non-technical audiences, and an enthusiasm to travel for conferences and other events. Familiarity with using Python for research and development. Strong collaborative mindset with good communication and interpersonal skills. An inquisitive nature and logical approach to problem solving. A passion for tackling big challenges and, in particular, for developing quantum computers. Experience - Desirable Prior work or expertise relating to emerging "good quantum LDPC" codes, their decoders, etc. An understanding of silicon spin hardware systems is a bonus. Strong candidates without this experience are encouraged to apply, with knowledge expected to develop as part of the job. Examples of previous work compiling quantum algorithms to a target architecture, including an accounting of the resources required. Prior experience working in the quantum computing industry or in a startup environment. Proficiency with quantum software tools such as qualtran, Qiskit, QuEST, or PennyLane. Use of quantum intermediate representations such as QASM or QIR. Experience of optimising and running software scripts on HPC resources, including the use of GPUs. Benefits Be part of a creative, world leading team Competitive salary and share options scheme Contributory pension scheme Private Medical Insurance Life Assurance Cycle to work Scheme Flexible working Central London location EEO Statement Quantum Motion is committed to providing equal employment opportunity and does not discriminate based on age, sex, sexual orientation, gender identity, race, colour, religion, disability status, marital status, pregnancy, gender reassignment or any other protected characteristics covered by the Equality Act 2010.
Mar 11, 2026
Full time
About The Role and Team This role focuses upon tailoring high-level quantum algorithms to run on our hardware. Successful candidates will be familiar with the established toolset of quantum algorithms and understand the compilation tools required to map circuits to a target gate set. With consideration of various quantum error correction schemes and the specifics of Quantum Motion hardware, you will research and develop processes to run circuits on target architectures while monitoring the resources consumed. Candidates should have experience working with the surface code and the use of factories to produce resource states. This role does not require prior understanding of Quantum Motion's silicon-spin hardware platform, with knowledge expected to develop on the job while working with other researchers in the team. This role will provide a critical interface between applications and hardware development at Quantum Motion, allowing us to identify algorithms that are compatible with future iterations of our hardware. In addition to an established research background, we are looking for candidates with strong communication skills who can discuss with both applications and error correction / architecture researchers to understand capabilities. This role will involve working with in-house software engineers to automate the algorithms compilation process, primarily through the Python-based ecosystem of quantum software libraries. This is therefore a rare and exciting opportunity to be an early employee at a start-up shaping the future of quantum computing. Being a small team and having a flat structure, this is a great opportunity to contribute to new developments within the field. There are multiple opportunities for professional growth and to make impacts within the company. Our Team Since 2021 our team has been listed every year in the "Top 100 Startups worth watching"in the EE Times, and our technology breakthroughs have been featured in The Telegraph, BBC and the New Statesman. Our founders are internationally renowned researchers from UCL and Oxford University who have pioneered the development of qubits and quantum computing architectures. Our chairman is the co-founder of Cadence and Synopsys, the two leading companies in the area of Electronic Design Automation. We're backed by a team of top-tier investors including Bosch Ventures, Porsche SE, Sony Innovation Fund, Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £62 million in equity and grant funding. We bring together the brightest quantum engineers, integrated circuit (IC) engineers, quantum computing theoreticians and software engineers to create a unique, world-leading team, working together closely to maximise our combined expertise. Our collaborative and interdisciplinary culture is an ideal fit for anyone who thrives in a cutting edge research and development environment focused on tackling big challenges and contributing to the development of scalable quantum computers based on silicon technology. Our team of 100+ is based in London and Oxford, with international offices in Australia (Sydney) and Spain (SanSebastián). Functions of the Role Develop processes to map high-level quantum algorithms to a hardware-compatible instruction set to realise fault-tolerant computation. Understand the tradeoffs between various quantum error correction tools and identify the best choice. Be familiar with architecture-level requirements and capabilities and factor them into the algorithm-to-hardware breakdown. Carefully account for the resources required to run a target algorithm, including the number of qubits and the runtime. Work with other researchers at the company to identify new directions and communicate constraints of existing approaches. Work with software engineers at the company to automate parts of the process. Present research results at internal and external meetings and events Experience - Essentials Top tier education and PhD in physics, maths, computer science, or a related discipline. Track record of research into quantum computing, including work on applications and algorithms, architectures, or quantum error correction. Knowledge of commonly-used algorithmic techniques, such as quantum phase estimation, block encodings, amplitude amplification, etc. Familiarity with common error correction techniques, including surface codes and magic state distillation. Experience with writing up results in reports or scientific journals. Ability to clearly present scientific work to both technical and non-technical audiences, and an enthusiasm to travel for conferences and other events. Familiarity with using Python for research and development. Strong collaborative mindset with good communication and interpersonal skills. An inquisitive nature and logical approach to problem solving. A passion for tackling big challenges and, in particular, for developing quantum computers. Experience - Desirable Prior work or expertise relating to emerging "good quantum LDPC" codes, their decoders, etc. An understanding of silicon spin hardware systems is a bonus. Strong candidates without this experience are encouraged to apply, with knowledge expected to develop as part of the job. Examples of previous work compiling quantum algorithms to a target architecture, including an accounting of the resources required. Prior experience working in the quantum computing industry or in a startup environment. Proficiency with quantum software tools such as qualtran, Qiskit, QuEST, or PennyLane. Use of quantum intermediate representations such as QASM or QIR. Experience of optimising and running software scripts on HPC resources, including the use of GPUs. Benefits Be part of a creative, world leading team Competitive salary and share options scheme Contributory pension scheme Private Medical Insurance Life Assurance Cycle to work Scheme Flexible working Central London location EEO Statement Quantum Motion is committed to providing equal employment opportunity and does not discriminate based on age, sex, sexual orientation, gender identity, race, colour, religion, disability status, marital status, pregnancy, gender reassignment or any other protected characteristics covered by the Equality Act 2010.
We are partnering exclusively with a pioneering organisation developing next generation computing technologies to appoint a Machine Learning Research Scientist/Research Engineer . This is a rare opportunity to join a team working at the intersection of machine learning, computational science , and emerging hybrid computing architectures . The work focuses on algorithmic innovation , generative modelling , and benchmarking ML systems on cutting edge hardware platforms. You will contribute to the development of new machine learning algorithms designed for advanced computing systems that extend beyond traditional GPU/TPU environments. The role involves close collaboration with researchers across ML, physics, and scientific computing, with a strong emphasis on generative models , numerical methods , and hybrid quantum classical approaches . Essential Experience Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum systems). Strong background in machine learning research , including algorithm development and benchmarking. Hands on experience with generative models (diffusion, flows, GANs). Proficiency in PyTorch , Python, and modern ML tooling. Experience in computational science , numerical methods, or scientific computing. MSc or PhD in Machine Learning, Computer Science, Physics, Applied Mathematics , or a related field, or equivalent research experience. This role is ideal for candidates who thrive in research driven environments , enjoy developing new ML methods , and want to work on problems that blend machine learning, physics, and advanced computation . Due to the nature of the work, this role is best suited to candidates with a strong research background rather than purely production focused ML experience. If you re excited by the idea of building ML algorithms for non traditional compute architectures , we d welcome a confidential conversation.
Mar 03, 2026
Full time
We are partnering exclusively with a pioneering organisation developing next generation computing technologies to appoint a Machine Learning Research Scientist/Research Engineer . This is a rare opportunity to join a team working at the intersection of machine learning, computational science , and emerging hybrid computing architectures . The work focuses on algorithmic innovation , generative modelling , and benchmarking ML systems on cutting edge hardware platforms. You will contribute to the development of new machine learning algorithms designed for advanced computing systems that extend beyond traditional GPU/TPU environments. The role involves close collaboration with researchers across ML, physics, and scientific computing, with a strong emphasis on generative models , numerical methods , and hybrid quantum classical approaches . Essential Experience Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum systems). Strong background in machine learning research , including algorithm development and benchmarking. Hands on experience with generative models (diffusion, flows, GANs). Proficiency in PyTorch , Python, and modern ML tooling. Experience in computational science , numerical methods, or scientific computing. MSc or PhD in Machine Learning, Computer Science, Physics, Applied Mathematics , or a related field, or equivalent research experience. This role is ideal for candidates who thrive in research driven environments , enjoy developing new ML methods , and want to work on problems that blend machine learning, physics, and advanced computation . Due to the nature of the work, this role is best suited to candidates with a strong research background rather than purely production focused ML experience. If you re excited by the idea of building ML algorithms for non traditional compute architectures , we d welcome a confidential conversation.
