About The Role and Team We are currently accepting applications for our PhD programme! This is a unique opportunity to work at the cutting edge of technology development, developing new innovative circuits, devices and theoretical methods to tackle the engineering challenges of implementing a large-scale quantum computer in silicon. PhD students will gain research and industrial experience working with some of the brightest quantum engineers, IC engineers and quantum computing theoreticians in a fast-growing research and development environment. We do not award PhDs, and any offer for a PhD will be done in conjunction with one of our partner universities. Quantum Motion will support you and provide guidance on your university application. The successful candidate is expected to start in early 2026. Application Process CV 1-page personal statement which describes your motivation for pursuing a PhD and explains which topics are of interest to you (in order of preference) and why. If your application is successful, you will be invited to a 30-minute technical interview with the relevant team. 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 across London, Oxford, Spain and Sydney, with our primary hub in Islington (London). Functions of the Role Quantum Hardware Team at Quantum Motion specialises in designing, validating and operating quantum processors based on silicon (CMOS) industrial technology. This PhD track is experimental in nature with laboratory based work. Silicon based approaches to quantum computing offer advantages such as high qubit density, record qubit coherence lifetimes for the solid state, and the ability to leverage the advanced nanofabrication methods of CMOS technologies. Two qubit gate fidelities for spin qubits in silicon now exceed 99.5% and registers of up to 6 qubits have been made so far. By integrating CMOS quantum devices on chip with 'classical' digital and analogue electronics, arrays of up to 1024 quantum dots have been addressed and rapidly characterised in just 5 minutes. These advances open up many exciting research opportunities for spin qubits based on silicon MOS (metal oxide semiconductor) devices, fabricated using the same processes used routinely across the IC industry today. Partner Universities: University College London and University of Cambridge Architectures and Applications Team at Quantum Motion specialises in quantum algorithms and computing architectures. The team considers how to optimise silicon qubit architectures in order to run particular quantum algorithms of interest. Building quantum computers means learning to control qubits. The first generation of quantum computers will be imperfect, by comparison to our reliable conventional technologies, but they will still have the potential to be vastly more powerful. Therefore there is great interest in finding the potential useful applications of such systems. Theory projects will use both analytic techniques and conventional supercomputers to understand the behaviour of quantum computers including their limitations and flaws. A current focus is to identify applications, such as novel materials and chemistry discovery, which may be able to run successfully on a near term quantum computer despite its imperfections. We need to map the detailed architectures and error models to the desired application through error mitigation protocols. More information can be found at Professor Simon Benjamin's ongoing quantum technologies theory group. Partner University: University of Oxford Device Modelling Team at Quantum Motion studies how detailed designs of silicon structures can be used to provide predictions in terms of qubits, gate fidelities, and errors. Their aim is to build predictive modelling capabilities that give rapid feedback on the quantum performance of candidate quantum circuit designs. This PhD project focuses on furthering the detailed understanding of electron behaviour in silicon quantum dots and incorporating this into sophisticated models of qubit noise and error. The resulting models will be directly utilised by the Architectures team to inform system level dynamics and quantum error correction strategies for the processor. This work sits at the intersection of cutting edge semiconductor physics, open quantum systems theory, and quantum error correction. Partner University: University College London Experience - Essentials Academic Qualification: Minimum 2.1 (or equivalent) Master's degree in the fields of Physics or Electrical Engineering or a closely related discipline studied to master's level. (The Architectures & Applications track typically requires a 1st Class degree strictly in Physics.) Data Analysis & Reporting: Demonstrated ability to perform robust data analysis and preparation of clear technical reports and presentations. Teamwork & Communication: Excellent communication skills and demonstrated experience of working collaboratively in a team environment. Numerical Skills: Demonstrated numerical skills in programming (e.g., Python, C/C++, or Matlab). Experience - Desirable Please review the detailed requirements for each team via the PhD Opportunities page. Benefits Working with a World Leading Team: Collaborate daily with world leading experts in silicon spin qubits, cryogenic electronics, and scalable CMOS technology from both Quantum Motion and our academic partners. Industrial Exposure: Gain crucial, hands on experience through a dedicated industry placement at Quantum Motion, bridging fundamental science and commercial hardware development. Cutting Edge Facilities: Access and operate state of the art laboratory equipment, including dilution refrigerators and advanced measurement platforms. Skill Development: Develop highly marketable expertise at the intersection of quantum mechanics, semiconductor engineering, machine learning, and high frequency electronics. Dedicated Mentorship: Receive guidance from both an established academic supervisor and an industry expert throughout your research journey. Conference & Travel Budget: Receive a dedicated annual budget to support travel and attendance at quantum conferences and workshops. Vibrant Ecosystem: Become part of the dynamic UK quantum technology ecosystem. EEO Statement Quantum Motion is a fast growing quantum computing scale up based in London founded by internationally renowned researchers from UCL and Oxford University with over 40 years' experience in developing qubits and quantum computing architectures. Bringing together state of the art cryogenic facilities and an outstanding interdisciplinary team, we are developing quantum processors based on industrial grade silicon chips, with the potential to radically transform computing power in areas such as materials modelling, medicine, artificial intelligence and more.
Jan 01, 2026
Full time
About The Role and Team We are currently accepting applications for our PhD programme! This is a unique opportunity to work at the cutting edge of technology development, developing new innovative circuits, devices and theoretical methods to tackle the engineering challenges of implementing a large-scale quantum computer in silicon. PhD students will gain research and industrial experience working with some of the brightest quantum engineers, IC engineers and quantum computing theoreticians in a fast-growing research and development environment. We do not award PhDs, and any offer for a PhD will be done in conjunction with one of our partner universities. Quantum Motion will support you and provide guidance on your university application. The successful candidate is expected to start in early 2026. Application Process CV 1-page personal statement which describes your motivation for pursuing a PhD and explains which topics are of interest to you (in order of preference) and why. If your application is successful, you will be invited to a 30-minute technical interview with the relevant team. 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 across London, Oxford, Spain and Sydney, with our primary hub in Islington (London). Functions of the Role Quantum Hardware Team at Quantum Motion specialises in designing, validating and operating quantum processors based on silicon (CMOS) industrial technology. This PhD track is experimental in nature with laboratory based work. Silicon based approaches to quantum computing offer advantages such as high qubit density, record qubit coherence lifetimes for the solid state, and the ability to leverage the advanced nanofabrication methods of CMOS technologies. Two qubit gate fidelities for spin qubits in silicon now exceed 99.5% and registers of up to 6 qubits have been made so far. By integrating CMOS quantum devices on chip with 'classical' digital and analogue electronics, arrays of up to 1024 quantum dots have been addressed and rapidly characterised in just 5 minutes. These advances open up many exciting research opportunities for spin qubits based on silicon MOS (metal oxide semiconductor) devices, fabricated using the same processes used routinely across the IC industry today. Partner Universities: University College London and University of Cambridge Architectures and Applications Team at Quantum Motion specialises in quantum algorithms and computing architectures. The team considers how to optimise silicon qubit architectures in order to run particular quantum algorithms of interest. Building quantum computers means learning to control qubits. The first generation of quantum computers will be imperfect, by comparison to our reliable conventional technologies, but they will still have the potential to be vastly more powerful. Therefore there is great interest in finding the potential useful applications of such systems. Theory projects will use both analytic techniques and conventional supercomputers to understand the behaviour of quantum computers including their limitations and flaws. A current focus is to identify applications, such as novel materials and chemistry discovery, which may be able to run successfully on a near term quantum computer despite its imperfections. We need to map the detailed architectures and error models to the desired application through error mitigation protocols. More information can be found at Professor Simon Benjamin's ongoing quantum technologies theory group. Partner University: University of Oxford Device Modelling Team at Quantum Motion studies how detailed designs of silicon structures can be used to provide predictions in terms of qubits, gate fidelities, and errors. Their aim is to build predictive modelling capabilities that give rapid feedback on the quantum performance of candidate quantum circuit designs. This PhD project focuses on furthering the detailed understanding of electron behaviour in silicon quantum dots and incorporating this into sophisticated models of qubit noise and error. The resulting models will be directly utilised by the Architectures team to inform system level dynamics and quantum error correction strategies for the processor. This work sits at the intersection of cutting edge semiconductor physics, open quantum systems theory, and quantum error correction. Partner University: University College London Experience - Essentials Academic Qualification: Minimum 2.1 (or equivalent) Master's degree in the fields of Physics or Electrical Engineering or a closely related discipline studied to master's level. (The Architectures & Applications track typically requires a 1st Class degree strictly in Physics.) Data Analysis & Reporting: Demonstrated ability to perform robust data analysis and preparation of clear technical reports and presentations. Teamwork & Communication: Excellent communication skills and demonstrated experience of working collaboratively in a team environment. Numerical Skills: Demonstrated numerical skills in programming (e.g., Python, C/C++, or Matlab). Experience - Desirable Please review the detailed requirements for each team via the PhD Opportunities page. Benefits Working with a World Leading Team: Collaborate daily with world leading experts in silicon spin qubits, cryogenic electronics, and scalable CMOS technology from both Quantum Motion and our academic partners. Industrial Exposure: Gain crucial, hands on experience through a dedicated industry placement at Quantum Motion, bridging fundamental science and commercial hardware development. Cutting Edge Facilities: Access and operate state of the art laboratory equipment, including dilution refrigerators and advanced measurement platforms. Skill Development: Develop highly marketable expertise at the intersection of quantum mechanics, semiconductor engineering, machine learning, and high frequency electronics. Dedicated Mentorship: Receive guidance from both an established academic supervisor and an industry expert throughout your research journey. Conference & Travel Budget: Receive a dedicated annual budget to support travel and attendance at quantum conferences and workshops. Vibrant Ecosystem: Become part of the dynamic UK quantum technology ecosystem. EEO Statement Quantum Motion is a fast growing quantum computing scale up based in London founded by internationally renowned researchers from UCL and Oxford University with over 40 years' experience in developing qubits and quantum computing architectures. Bringing together state of the art cryogenic facilities and an outstanding interdisciplinary team, we are developing quantum processors based on industrial grade silicon chips, with the potential to radically transform computing power in areas such as materials modelling, medicine, artificial intelligence and more.
About The Role and Team We are currently accepting applications for our PhD programme! This is a unique opportunity to work at the cutting edge of technology development, developing new innovative circuits, devices and theoretical methods to tackle the engineering challenges of implementing a large-scale quantum computer in silicon. PhD students will gain research and industrial experience working with some of the brightest quantum engineers, IC engineers and quantum computing theoreticians in a fast-growing research and development environment. We do not award PhDs, and any offer for a PhD will be done in conjunction with one of our partner universities. Quantum Motion will support you and provide guidance on your university application. The successful candidate is expected to start in early 2026. Application Process CV 1-page personal statement which describes your motivation for pursuing a PhD and explains which topics are of interest to you (in order of preference) and why. If your application is successful, you will be invited to a 30-minute technical interview with the relevant team. 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 across London, Oxford, Spain and Sydney, with our primary hub in Islington (London). Functions of the Role Quantum Hardware Team at Quantum Motion specialises in designing, validating and operating quantum processors based on silicon (CMOS) industrial technology. This PhD track is experimental in nature with laboratory based work. Silicon based approaches to quantum computing offer advantages such as high qubit density, record qubit coherence lifetimes for the solid state, and the ability to leverage the advanced nanofabrication methods of CMOS technologies. Two qubit gate fidelities for spin qubits in silicon now exceed 99.5% and registers of up to 6 qubits have been made so far. By integrating CMOS quantum devices on chip with 'classical' digital and analogue electronics, arrays of up to 1024 quantum dots have been addressed and rapidly characterised in just 5 minutes. These advances open up many exciting research opportunities for spin qubits based on silicon MOS (metal oxide semiconductor) devices, fabricated using the same processes used routinely across the IC industry today. Partner Universities: University College London and University of Cambridge Architectures and Applications Team at Quantum Motion specialises in quantum algorithms and computing architectures. The team considers how to optimise silicon qubit architectures in order to run particular quantum algorithms of interest. Building quantum computers means learning to control qubits. The first generation of quantum computers will be imperfect, by comparison to our reliable conventional technologies, but they will still have the potential to be vastly more powerful. Therefore there is great interest in finding the potential useful applications of such systems. Theory projects will use both analytic techniques and conventional supercomputers to understand the behaviour of quantum computers including their limitations and flaws. A current focus is to identify applications, such as novel materials and chemistry discovery, which may be able to run successfully on a near term quantum computer despite its imperfections. We need to map the detailed architectures and error models to the desired application through error mitigation protocols. More information can be found at Professor Simon Benjamin's ongoing quantum technologies theory group. Partner University: University of Oxford Device Modelling Team at Quantum Motion studies how detailed designs of silicon structures can be used to provide predictions in terms of qubits, gate fidelities, and errors. Their aim is to build predictive modelling capabilities that give rapid feedback on the quantum performance of candidate quantum circuit designs. This PhD project focuses on furthering the detailed understanding of electron behaviour in silicon quantum dots and incorporating this into sophisticated models of qubit noise and error. The resulting models will be directly utilised by the Architectures team to inform system level dynamics and quantum error correction strategies for the processor. This work sits at the intersection of cutting edge semiconductor physics, open quantum systems theory, and quantum error correction. Partner University: University College London Experience - Essentials Academic Qualification: Minimum 2.1 (or equivalent) Master's degree in the fields of Physics or Electrical Engineering or a closely related discipline studied to master's level. (The Architectures & Applications track typically requires a 1st Class degree strictly in Physics.) Data Analysis & Reporting: Demonstrated ability to perform robust data analysis and preparation of clear technical reports and presentations. Teamwork & Communication: Excellent communication skills and demonstrated experience of working collaboratively in a team environment. Numerical Skills: Demonstrated numerical skills in programming (e.g., Python, C/C++, or Matlab). Experience - Desirable Please review the detailed requirements for each team via the PhD Opportunities page. Benefits Working with a World Leading Team: Collaborate daily with world leading experts in silicon spin qubits, cryogenic electronics, and scalable CMOS technology from both Quantum Motion and our academic partners. Industrial Exposure: Gain crucial, hands on experience through a dedicated industry placement at Quantum Motion, bridging fundamental science and commercial hardware development. Cutting Edge Facilities: Access and operate state of the art laboratory equipment, including dilution refrigerators and advanced measurement platforms. Skill Development: Develop highly marketable expertise at the intersection of quantum mechanics, semiconductor engineering, machine learning, and high frequency electronics. Dedicated Mentorship: Receive guidance from both an established academic supervisor and an industry expert throughout your research journey. Conference & Travel Budget: Receive a dedicated annual budget to support travel and attendance at quantum conferences and workshops. Vibrant Ecosystem: Become part of the dynamic UK quantum technology ecosystem. EEO Statement Quantum Motion is a fast growing quantum computing scale up based in London founded by internationally renowned researchers from UCL and Oxford University with over 40 years' experience in developing qubits and quantum computing architectures. Bringing together state of the art cryogenic facilities and an outstanding interdisciplinary team, we are developing quantum processors based on industrial grade silicon chips, with the potential to radically transform computing power in areas such as materials modelling, medicine, artificial intelligence and more.
Jan 01, 2026
Full time
About The Role and Team We are currently accepting applications for our PhD programme! This is a unique opportunity to work at the cutting edge of technology development, developing new innovative circuits, devices and theoretical methods to tackle the engineering challenges of implementing a large-scale quantum computer in silicon. PhD students will gain research and industrial experience working with some of the brightest quantum engineers, IC engineers and quantum computing theoreticians in a fast-growing research and development environment. We do not award PhDs, and any offer for a PhD will be done in conjunction with one of our partner universities. Quantum Motion will support you and provide guidance on your university application. The successful candidate is expected to start in early 2026. Application Process CV 1-page personal statement which describes your motivation for pursuing a PhD and explains which topics are of interest to you (in order of preference) and why. If your application is successful, you will be invited to a 30-minute technical interview with the relevant team. 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 across London, Oxford, Spain and Sydney, with our primary hub in Islington (London). Functions of the Role Quantum Hardware Team at Quantum Motion specialises in designing, validating and operating quantum processors based on silicon (CMOS) industrial technology. This PhD track is experimental in nature with laboratory based work. Silicon based approaches to quantum computing offer advantages such as high qubit density, record qubit coherence lifetimes for the solid state, and the ability to leverage the advanced nanofabrication methods of CMOS technologies. Two qubit gate fidelities for spin qubits in silicon now exceed 99.5% and registers of up to 6 qubits have been made so far. By integrating CMOS quantum devices on chip with 'classical' digital and analogue electronics, arrays of up to 1024 quantum dots have been addressed and rapidly characterised in just 5 minutes. These advances open up many exciting research opportunities for spin qubits based on silicon MOS (metal oxide semiconductor) devices, fabricated using the same processes used routinely across the IC industry today. Partner Universities: University College London and University of Cambridge Architectures and Applications Team at Quantum Motion specialises in quantum algorithms and computing architectures. The team considers how to optimise silicon qubit architectures in order to run particular quantum algorithms of interest. Building quantum computers means learning to control qubits. The first generation of quantum computers will be imperfect, by comparison to our reliable conventional technologies, but they will still have the potential to be vastly more powerful. Therefore there is great interest in finding the potential useful applications of such systems. Theory projects will use both analytic techniques and conventional supercomputers to understand the behaviour of quantum computers including their limitations and flaws. A current focus is to identify applications, such as novel materials and chemistry discovery, which may be able to run successfully on a near term quantum computer despite its imperfections. We need to map the detailed architectures and error models to the desired application through error mitigation protocols. More information can be found at Professor Simon Benjamin's ongoing quantum technologies theory group. Partner University: University of Oxford Device Modelling Team at Quantum Motion studies how detailed designs of silicon structures can be used to provide predictions in terms of qubits, gate fidelities, and errors. Their aim is to build predictive modelling capabilities that give rapid feedback on the quantum performance of candidate quantum circuit designs. This PhD project focuses on furthering the detailed understanding of electron behaviour in silicon quantum dots and incorporating this into sophisticated models of qubit noise and error. The resulting models will be directly utilised by the Architectures team to inform system level dynamics and quantum error correction strategies for the processor. This work sits at the intersection of cutting edge semiconductor physics, open quantum systems theory, and quantum error correction. Partner University: University College London Experience - Essentials Academic Qualification: Minimum 2.1 (or equivalent) Master's degree in the fields of Physics or Electrical Engineering or a closely related discipline studied to master's level. (The Architectures & Applications track typically requires a 1st Class degree strictly in Physics.) Data Analysis & Reporting: Demonstrated ability to perform robust data analysis and preparation of clear technical reports and presentations. Teamwork & Communication: Excellent communication skills and demonstrated experience of working collaboratively in a team environment. Numerical Skills: Demonstrated numerical skills in programming (e.g., Python, C/C++, or Matlab). Experience - Desirable Please review the detailed requirements for each team via the PhD Opportunities page. Benefits Working with a World Leading Team: Collaborate daily with world leading experts in silicon spin qubits, cryogenic electronics, and scalable CMOS technology from both Quantum Motion and our academic partners. Industrial Exposure: Gain crucial, hands on experience through a dedicated industry placement at Quantum Motion, bridging fundamental science and commercial hardware development. Cutting Edge Facilities: Access and operate state of the art laboratory equipment, including dilution refrigerators and advanced measurement platforms. Skill Development: Develop highly marketable expertise at the intersection of quantum mechanics, semiconductor engineering, machine learning, and high frequency electronics. Dedicated Mentorship: Receive guidance from both an established academic supervisor and an industry expert throughout your research journey. Conference & Travel Budget: Receive a dedicated annual budget to support travel and attendance at quantum conferences and workshops. Vibrant Ecosystem: Become part of the dynamic UK quantum technology ecosystem. EEO Statement Quantum Motion is a fast growing quantum computing scale up based in London founded by internationally renowned researchers from UCL and Oxford University with over 40 years' experience in developing qubits and quantum computing architectures. Bringing together state of the art cryogenic facilities and an outstanding interdisciplinary team, we are developing quantum processors based on industrial grade silicon chips, with the potential to radically transform computing power in areas such as materials modelling, medicine, artificial intelligence and more.
Other Job Family Group Undergraduate Data Science Placement Application Closing Date: 30th January 2026 Start Date: 1st July 2026 Location: London Duration: 13 months Are you looking for a paid industrial placement as part of your degree? Do you want the opportunity to help conquer some of the next generation problems in risk data analytics? LexisNexis Risk Solutions Group (RSG) - Placement Programme is the perfect way to start building your career. The Placement You will join a structured and well-developed 13-month, non-rotational placement within our Risk Solutions business ( ). LexisNexis Risk Solutions is a leader in providing essential information to help customers across industry and government assess, predict and manage risk. We are excited to be seeking a Data Scientist placement candidate to join our London based ThreatMetrix Professional Services team for 13 months, starting July 2026. Whether your interests are in Statistics, Machine Learning or Applied Mathematics, our internship is an ideal introduction to how we apply cutting edge technologies to our data to provide valuable insight for our customers. The Role The goal of the placement is to develop your knowledge and analytical skills so that you are able to contribute to solving real world, end customer problems as part of our ongoing engagements with a wide range of tier 1 global customers. During the placement, you will also gain valuable business insight and core consulting skills that will help them develop into a well-rounded team member. Apply if you are a: Enthusiast Data Programmer : You will need strong programming skills in analytical packages to leverage our real time data platform, Data Analysis in Python and SQL essential; A strong interest in the Snowflake architecture Critical Thinker: A keen eye for detail, accuracy and strong critical thinking skills with advanced judgment capabilityis needed; Analytical problem solver: Strong analytical and problem solving skills are required to solve the challenges facing our customers in an ever changing fraud and risk landscape - numerical degree required; Enthusiastic Team Player : We are looking for a candidate who is comfortable working in a collaborative and inclusive team environment. Data evangelist : you will need to be passionate in using data and statistics to solve real world problems. Interested in Cybercrime prevention- a desire to understand the latest cybercrime trends and attack methods is required to deliver meaningful and effective risk models Studying STEM degrees (All Sciences, Technology, or Maths) All applicants must have the right to work full time in the UK. Training & Development You will receive a blend of technical and people skills development. This is important as it's not just what you do, but how you do it that is important to us. Initially you will be immersed into an intensive, but rewarding, 2-3-week induction bootcamp and will be part of a wider graduate community with frequent socials including charity days and diversity and inclusion events. We work to a 70/20/10 learning model with 70% of your learning on the job, 20% informal learning and 10% from formal educational learning. Life at Lexis Nexis What really stands us out from the crowd is our culture. We're an agile, dynamic and forward-thinking organisation who understands the importance of looking after our staff. We pride ourselves on delivering high-quality products, providing our employees with interesting challenges for their personal and career development whilst also striking the right balance between work and personal life. Please view the information video here: Women in technology LexisNexis Risk Solutions Group (RSG) is very supportive of women in Technology and has been a founding signature for the Tech Talent Charter. Currently 27% of our Technology workforce are women which is much higher than the UK average of 17%. We have the following initiatives in place to support women in technology: Mentoring Scheme for Women in Technology Women's Network Forum Women in Technology Employee Resource Group (ERG) RSG proudly support the Tech Talent Charter. Diversity & Inclusion At LexisNexis Risk Solutions Group having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 35 diversity employee networks globally and prioritise ensuring inclusive leadership is part of our culture. Our aim is for every employee to be the best version of themselves. We actively welcome applications from candidates of diverse backgrounds and underrepresented groups. If you require additional support any stage, then please let us know how we can provide adjustments to your needs. All applications are treated in line with our equal opportunities policy. The Perks We want our people to feel appreciated, supported and inspired, which is why we offer such a fantastic range of benefits and reward. Here is a glance at just a few: Hybrid Working - 2 days office working 25 days holiday 2 days paid leave towards Diversity & Inclusion events and 2 days for charity volunteer days Travel Interest Free Loans and Cycle to Work schemes Wellness programme and access to Mindfulness app The Application Process Click to apply and submit your CV, as part of your application include any relevant experience, workshops or hobbies to showcase your skills. Successful candidates will be invited to a telephone interview for the team to learn more about you and your motivations to apply for this role. Applications are open until January 2026. Final candidates will be invited to face to face assessment workshops in February 2026. We aim to confirm offers by the end of February/early March 2026. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . USA Job Seekers: We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. EEO Know Your Rights.
Jan 01, 2026
Full time
Other Job Family Group Undergraduate Data Science Placement Application Closing Date: 30th January 2026 Start Date: 1st July 2026 Location: London Duration: 13 months Are you looking for a paid industrial placement as part of your degree? Do you want the opportunity to help conquer some of the next generation problems in risk data analytics? LexisNexis Risk Solutions Group (RSG) - Placement Programme is the perfect way to start building your career. The Placement You will join a structured and well-developed 13-month, non-rotational placement within our Risk Solutions business ( ). LexisNexis Risk Solutions is a leader in providing essential information to help customers across industry and government assess, predict and manage risk. We are excited to be seeking a Data Scientist placement candidate to join our London based ThreatMetrix Professional Services team for 13 months, starting July 2026. Whether your interests are in Statistics, Machine Learning or Applied Mathematics, our internship is an ideal introduction to how we apply cutting edge technologies to our data to provide valuable insight for our customers. The Role The goal of the placement is to develop your knowledge and analytical skills so that you are able to contribute to solving real world, end customer problems as part of our ongoing engagements with a wide range of tier 1 global customers. During the placement, you will also gain valuable business insight and core consulting skills that will help them develop into a well-rounded team member. Apply if you are a: Enthusiast Data Programmer : You will need strong programming skills in analytical packages to leverage our real time data platform, Data Analysis in Python and SQL essential; A strong interest in the Snowflake architecture Critical Thinker: A keen eye for detail, accuracy and strong critical thinking skills with advanced judgment capabilityis needed; Analytical problem solver: Strong analytical and problem solving skills are required to solve the challenges facing our customers in an ever changing fraud and risk landscape - numerical degree required; Enthusiastic Team Player : We are looking for a candidate who is comfortable working in a collaborative and inclusive team environment. Data evangelist : you will need to be passionate in using data and statistics to solve real world problems. Interested in Cybercrime prevention- a desire to understand the latest cybercrime trends and attack methods is required to deliver meaningful and effective risk models Studying STEM degrees (All Sciences, Technology, or Maths) All applicants must have the right to work full time in the UK. Training & Development You will receive a blend of technical and people skills development. This is important as it's not just what you do, but how you do it that is important to us. Initially you will be immersed into an intensive, but rewarding, 2-3-week induction bootcamp and will be part of a wider graduate community with frequent socials including charity days and diversity and inclusion events. We work to a 70/20/10 learning model with 70% of your learning on the job, 20% informal learning and 10% from formal educational learning. Life at Lexis Nexis What really stands us out from the crowd is our culture. We're an agile, dynamic and forward-thinking organisation who understands the importance of looking after our staff. We pride ourselves on delivering high-quality products, providing our employees with interesting challenges for their personal and career development whilst also striking the right balance between work and personal life. Please view the information video here: Women in technology LexisNexis Risk Solutions Group (RSG) is very supportive of women in Technology and has been a founding signature for the Tech Talent Charter. Currently 27% of our Technology workforce are women which is much higher than the UK average of 17%. We have the following initiatives in place to support women in technology: Mentoring Scheme for Women in Technology Women's Network Forum Women in Technology Employee Resource Group (ERG) RSG proudly support the Tech Talent Charter. Diversity & Inclusion At LexisNexis Risk Solutions Group having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 35 diversity employee networks globally and prioritise ensuring inclusive leadership is part of our culture. Our aim is for every employee to be the best version of themselves. We actively welcome applications from candidates of diverse backgrounds and underrepresented groups. If you require additional support any stage, then please let us know how we can provide adjustments to your needs. All applications are treated in line with our equal opportunities policy. The Perks We want our people to feel appreciated, supported and inspired, which is why we offer such a fantastic range of benefits and reward. Here is a glance at just a few: Hybrid Working - 2 days office working 25 days holiday 2 days paid leave towards Diversity & Inclusion events and 2 days for charity volunteer days Travel Interest Free Loans and Cycle to Work schemes Wellness programme and access to Mindfulness app The Application Process Click to apply and submit your CV, as part of your application include any relevant experience, workshops or hobbies to showcase your skills. Successful candidates will be invited to a telephone interview for the team to learn more about you and your motivations to apply for this role. Applications are open until January 2026. Final candidates will be invited to face to face assessment workshops in February 2026. We aim to confirm offers by the end of February/early March 2026. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . USA Job Seekers: We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. EEO Know Your Rights.
Manufacturing Engineer Technician - 12m Contract page is loaded Manufacturing Engineer Technician - 12m Contractlocations: Stockton, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R Career Area: Operations Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Title: Manufacturing Engineering Technician Salary: £45,300 Location : Stockton Contract: Full time & fixed term contract (12 months) The Opportunity As a Manufacturing Engineer Technician , you will provide day to day technical support for value streams with Building Construction Products. You will assist in the update, development & documentation of assembly processes for optimum safety & efficiency in line with Caterpillar Production System guiding principles, across the product range. What You Will Do: As Manufacturing Engineer Technician , your accountabilities will include, but are not limited to: Lead investigations and implement improvement actions identified through Continuous Improvement (CI) cards, while managing Organisational Change (MOC) processes. Drive engineering changes on the shop floor. Conduct risk assessments and champion robust process changes for high-energy hazards. Create, maintain, and update process documentation. Deliver proactive process improvements and root cause investigations using Lean tools. Oversee the development of new or replacement tooling, including templates, gauges, jigs, and fixtures. NB. The panel cannot make assumptions when shortlisting therefore please demonstrate your qualifications and experience on your CV relevant to the criteria outlined. Pending the number of applications, the criteria for the position may be enhanced to facilitate shortlisting. What You Can Demonstrate: Computer Literate: Create, edit, and manage documents, spreadsheets, and presentations using Microsoft Word, Excel, and PowerPoint to support process documentation and reporting. Technical & Design: Use CAD software (AutoCAD, CREO or similar) to design, update, and maintain tooling such as templates, gauges, jigs, and fixtures. Communication: Excellent communication and teamwork skills, with experience coaching and supporting production teams to deliver improvements. Organisation & Process Improvement: Able to stay organised and manage tasks independently, while looking for ways to make things run more smoothly. What You May Have: Risk Assessment knowledge (British Safety Council Level 2) : To ensure a safe working environment and compliance with health and safety standards. HNC-level understanding of manufacturing principles: To apply sound technical knowledge in day-to-day operations and problem-solving. Documentation Skills: Ability to create and maintain Standard Work and process documentation to support consistency, quality, and clear communication across teams. Continuous Improvement: Lean methodology knowledge (Green Belt level or equivalent) to identify inefficiencies and drive process improvements for better productivity. Just a quick heads-up: We start reviewing applications as soon as they come in, so if you're interested, don't wait too long! We may close the advert early if we feel we've got a strong pool of potentially suitable applicants. Don't miss out, get your application in soon! What You Will Get One Company, Limitless OpportunitiesCaterpillar is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. We do business on every continent, principally operating through three primary segments - Construction Industries, Resource Industries, and Energy & Transportation - and providing financing and related services through our Financial Products segment.Careers at Caterpillar are limitless, we have opportunities in Engineering, Human Resources, Manufacturing, Marketing, Sales, Supply Chain and so much more. You can create the career you want. It's your time and talent, make it count. Our Sustainability Commitment Caterpillar has a long-standing commitment to sustainability, one of our five Values in Action. It is part of who we are and what we do. We actively lead sustainable green initiatives to preserve the environment, help reduce poverty with the Caterpillar Foundation and stay involved in the communities we help build. Benefits : 25 days annual leave + bank holidays , opportunity to buy additional holiday, bonus , contributory pension scheme - Caterpillar will double the employee's contribution up to 10% , contributory share scheme - Caterpillar will match 50% of the employee's contribution, Employee Support Networks - join groups that offer support, connection , and a sense of community , optional flexible benefits including access to private health and dental care plans, EV car lease etc Travel : Not required Posting Dates: December 16, 2025 - January 9, 2026Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply.
Jan 01, 2026
Full time
Manufacturing Engineer Technician - 12m Contract page is loaded Manufacturing Engineer Technician - 12m Contractlocations: Stockton, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R Career Area: Operations Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Title: Manufacturing Engineering Technician Salary: £45,300 Location : Stockton Contract: Full time & fixed term contract (12 months) The Opportunity As a Manufacturing Engineer Technician , you will provide day to day technical support for value streams with Building Construction Products. You will assist in the update, development & documentation of assembly processes for optimum safety & efficiency in line with Caterpillar Production System guiding principles, across the product range. What You Will Do: As Manufacturing Engineer Technician , your accountabilities will include, but are not limited to: Lead investigations and implement improvement actions identified through Continuous Improvement (CI) cards, while managing Organisational Change (MOC) processes. Drive engineering changes on the shop floor. Conduct risk assessments and champion robust process changes for high-energy hazards. Create, maintain, and update process documentation. Deliver proactive process improvements and root cause investigations using Lean tools. Oversee the development of new or replacement tooling, including templates, gauges, jigs, and fixtures. NB. The panel cannot make assumptions when shortlisting therefore please demonstrate your qualifications and experience on your CV relevant to the criteria outlined. Pending the number of applications, the criteria for the position may be enhanced to facilitate shortlisting. What You Can Demonstrate: Computer Literate: Create, edit, and manage documents, spreadsheets, and presentations using Microsoft Word, Excel, and PowerPoint to support process documentation and reporting. Technical & Design: Use CAD software (AutoCAD, CREO or similar) to design, update, and maintain tooling such as templates, gauges, jigs, and fixtures. Communication: Excellent communication and teamwork skills, with experience coaching and supporting production teams to deliver improvements. Organisation & Process Improvement: Able to stay organised and manage tasks independently, while looking for ways to make things run more smoothly. What You May Have: Risk Assessment knowledge (British Safety Council Level 2) : To ensure a safe working environment and compliance with health and safety standards. HNC-level understanding of manufacturing principles: To apply sound technical knowledge in day-to-day operations and problem-solving. Documentation Skills: Ability to create and maintain Standard Work and process documentation to support consistency, quality, and clear communication across teams. Continuous Improvement: Lean methodology knowledge (Green Belt level or equivalent) to identify inefficiencies and drive process improvements for better productivity. Just a quick heads-up: We start reviewing applications as soon as they come in, so if you're interested, don't wait too long! We may close the advert early if we feel we've got a strong pool of potentially suitable applicants. Don't miss out, get your application in soon! What You Will Get One Company, Limitless OpportunitiesCaterpillar is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. We do business on every continent, principally operating through three primary segments - Construction Industries, Resource Industries, and Energy & Transportation - and providing financing and related services through our Financial Products segment.Careers at Caterpillar are limitless, we have opportunities in Engineering, Human Resources, Manufacturing, Marketing, Sales, Supply Chain and so much more. You can create the career you want. It's your time and talent, make it count. Our Sustainability Commitment Caterpillar has a long-standing commitment to sustainability, one of our five Values in Action. It is part of who we are and what we do. We actively lead sustainable green initiatives to preserve the environment, help reduce poverty with the Caterpillar Foundation and stay involved in the communities we help build. Benefits : 25 days annual leave + bank holidays , opportunity to buy additional holiday, bonus , contributory pension scheme - Caterpillar will double the employee's contribution up to 10% , contributory share scheme - Caterpillar will match 50% of the employee's contribution, Employee Support Networks - join groups that offer support, connection , and a sense of community , optional flexible benefits including access to private health and dental care plans, EV car lease etc Travel : Not required Posting Dates: December 16, 2025 - January 9, 2026Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply.
