Overview Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Jump is looking to add a dynamic software engineer to one of our growing quantitative trading teams. The individual in this role will work hand in hand with traders and technologists to take ownership of trading issues, operational issues, and the deployment process for the team's production trading, with a focus on making the processes scalable and fault tolerant. This will involve writing and maintaining a complex python infrastructure, as well as ensuring that the production servers are properly configured, and that various sources of information for production processes are kept up to date. The ideal candidate will be passionate about development, keen to learn about automated electronic trading and able to solve difficult technical problems in a fast-paced and energetic environment. In this role, a candidate can expect exposure to a wide range of interesting and challenging problems. The trading team sees technology as a key component of their continued success and candidates will be exposed to cool cutting edge technologies. What you'll do Ensuring production servers are properly configured. Writing and maintaining a complex python infrastructure. Other duties as assigned or needed. Skills You'll Need Strong knowledge of Python and Linux. Some experience with C++/SQL preferable. Strong debugging skills in both code development and systems infrastructure. Good instincts for performance vs simplicity trade-offs. Ability to make the right engineering decisions to achieve maintainability, extensibility and debuggability. Self-directed, excited to take ownership of projects and be responsible for mission-critical systems. You will be able to manage your own priorities and have the context-switching capacity required to work on several projects at once. Reliable and predictable availability. Benefits Private Medical, Vision and Dental Insurance. Travel Medical Insurance. Group Pension Scheme. Group Life Assurance and Income Protection Schemes. Paid Parental Leave. Parking and Commuter Benefits.
11/05/2026
Full time
Overview Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Jump is looking to add a dynamic software engineer to one of our growing quantitative trading teams. The individual in this role will work hand in hand with traders and technologists to take ownership of trading issues, operational issues, and the deployment process for the team's production trading, with a focus on making the processes scalable and fault tolerant. This will involve writing and maintaining a complex python infrastructure, as well as ensuring that the production servers are properly configured, and that various sources of information for production processes are kept up to date. The ideal candidate will be passionate about development, keen to learn about automated electronic trading and able to solve difficult technical problems in a fast-paced and energetic environment. In this role, a candidate can expect exposure to a wide range of interesting and challenging problems. The trading team sees technology as a key component of their continued success and candidates will be exposed to cool cutting edge technologies. What you'll do Ensuring production servers are properly configured. Writing and maintaining a complex python infrastructure. Other duties as assigned or needed. Skills You'll Need Strong knowledge of Python and Linux. Some experience with C++/SQL preferable. Strong debugging skills in both code development and systems infrastructure. Good instincts for performance vs simplicity trade-offs. Ability to make the right engineering decisions to achieve maintainability, extensibility and debuggability. Self-directed, excited to take ownership of projects and be responsible for mission-critical systems. You will be able to manage your own priorities and have the context-switching capacity required to work on several projects at once. Reliable and predictable availability. Benefits Private Medical, Vision and Dental Insurance. Travel Medical Insurance. Group Pension Scheme. Group Life Assurance and Income Protection Schemes. Paid Parental Leave. Parking and Commuter Benefits.
Research Software Engineer, Generative AI Apply X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland. Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience. 5 years of experience programming in Python. One or more scientific publication submissions in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). Preferred qualifications: PhD in Computer Science, Applied Math, or a related field with a focus on 3D Geometry or Machine Learning. Experience with deep learning frameworks (e.g., JAX) and with Python/ C++. Experience with mesh processing, skeletal animation pipelines. Understanding of linear algebra, calculus, and optimization. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Our team's mission is to develop foundational models and core technologies to synthesize reality. In particular, we focus on the human body, face, hands and adjacent components such as hair, clothing, animation, shape, appearance. The goal is to power machine learning, build better products faster, and unlock next generation user experiences. The impact we make can be seen in teams using our technologies and data to build exciting new features in the Augmented Reality (AR) organization and beyond. Furthermore, our team makes direct feature contributions into the next generation XR devices. Responsibilities Develop algorithms and models for 3D body shape estimation, rigging, and skinning. Work with parametric models to represent human populations for various applications with differing performance and quality requirements. Research and develop novel approaches to physics based generative animation conditioned on multimodal input data such as text, audio, sparse sensor information. Work alongside software engineers and other research scientists to deliver production ready models and pipelines. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
11/05/2026
Full time
Research Software Engineer, Generative AI Apply X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland. Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience. 5 years of experience programming in Python. One or more scientific publication submissions in AI conferences (e.g., NeurIPS, CVPR, ICCV, ICLR). Preferred qualifications: PhD in Computer Science, Applied Math, or a related field with a focus on 3D Geometry or Machine Learning. Experience with deep learning frameworks (e.g., JAX) and with Python/ C++. Experience with mesh processing, skeletal animation pipelines. Understanding of linear algebra, calculus, and optimization. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Our team's mission is to develop foundational models and core technologies to synthesize reality. In particular, we focus on the human body, face, hands and adjacent components such as hair, clothing, animation, shape, appearance. The goal is to power machine learning, build better products faster, and unlock next generation user experiences. The impact we make can be seen in teams using our technologies and data to build exciting new features in the Augmented Reality (AR) organization and beyond. Furthermore, our team makes direct feature contributions into the next generation XR devices. Responsibilities Develop algorithms and models for 3D body shape estimation, rigging, and skinning. Work with parametric models to represent human populations for various applications with differing performance and quality requirements. Research and develop novel approaches to physics based generative animation conditioned on multimodal input data such as text, audio, sparse sensor information. Work alongside software engineers and other research scientists to deliver production ready models and pipelines. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Select how often (in days) to receive an alert: Remote Home, GB Remote Home, GB Remote Home, GB Remote Home, GB Remote Home, GB Remote Home, GB Remote Home, GB Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI powered, end to end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris. The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. We were recently awarded a major new project within the Public Sector, and would welcome the chance to discuss how your Engineering Lead experience can help us deliver it. The work is in an area of government that will have a significant impact on a critical service for the UK population, and is therefore an opportunity for you and Atos to demonstrate and expand our expertise. This will be a client facing role, with daily client interaction, and you will be joining our existing delivery team who work alongside the client team. Core aspects of the role that you will take on: Provide technical leadership, coaching and mentoring to your assigned team Promote knowledge sharing and adoption of good practice Guide the ways of working for the team Be involved in identifying appropriate technology and approaches, deciding when software should be written Contribute to our wider developer community Providing quality assurance of inflight tickets Release preparation Show and tells and demonstrations This is the tech stack you will be working with, and during the selection process we would like to understand which you have worked with, with you can lead with and which you have familiarity with. Our objective is that as a team, overall we can deliver excellence and leadership throughout: Typescript React Kotlin Spring Boot Github Terraform MySQL DB Google Analytics and Tag Manager Pension Scheme - contributions matched up to 10% Private medical cover Income Protection Life Assurance 25 days paid leave + National Holidays Flex benefits program Please note eligibility for SC clearance is essential for this role. Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
11/05/2026
Full time
Select how often (in days) to receive an alert: Remote Home, GB Remote Home, GB Remote Home, GB Remote Home, GB Remote Home, GB Remote Home, GB Remote Home, GB Atos Group is a global leader in digital transformation with c. 63,000 employees and annual revenue of c. €8 billion, operating in 61 countries under two brands - Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI powered, end to end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris. The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. We were recently awarded a major new project within the Public Sector, and would welcome the chance to discuss how your Engineering Lead experience can help us deliver it. The work is in an area of government that will have a significant impact on a critical service for the UK population, and is therefore an opportunity for you and Atos to demonstrate and expand our expertise. This will be a client facing role, with daily client interaction, and you will be joining our existing delivery team who work alongside the client team. Core aspects of the role that you will take on: Provide technical leadership, coaching and mentoring to your assigned team Promote knowledge sharing and adoption of good practice Guide the ways of working for the team Be involved in identifying appropriate technology and approaches, deciding when software should be written Contribute to our wider developer community Providing quality assurance of inflight tickets Release preparation Show and tells and demonstrations This is the tech stack you will be working with, and during the selection process we would like to understand which you have worked with, with you can lead with and which you have familiarity with. Our objective is that as a team, overall we can deliver excellence and leadership throughout: Typescript React Kotlin Spring Boot Github Terraform MySQL DB Google Analytics and Tag Manager Pension Scheme - contributions matched up to 10% Private medical cover Income Protection Life Assurance 25 days paid leave + National Holidays Flex benefits program Please note eligibility for SC clearance is essential for this role. Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long term investment, we are delivering key technology into the fast growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware aware AI algorithms and AI aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware. The Team Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence and graph based data. We're based across London, Cambridge and Bristol, with projects and discussions that involve all our locations. Perhaps the best way to get an idea of to read one of our papers or an article on our blog. If you're excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we'd love to hear from you! Responsibilities and Duties Generate AI/ML ideas, design experiments, implement them & evaluate results. Prepare, submit & present your work to AI conferences and workshops. Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports. Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore's next generation of AI hardware. About you: Essential: Master's, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Lower level programming for hardware efficiency, e.g. C++/CUDA/Triton. Practical familiarity with hardware capabilities for deep learning - threads, caches, vector & matrix engines, data dependencies, bus widths and throttling. Practical familiarity with software stacks for deep learning - compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution Desirable: Mathematics skills to support the above: calculus, probability theory and linear algebra. Experience submitting papers to international scientific conferences or workshops. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
11/05/2026
Full time
About Graphcore At Graphcore, we're building the future of AI compute. We're a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long term investment, we are delivering key technology into the fast growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware aware AI algorithms and AI aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware. The Team Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence and graph based data. We're based across London, Cambridge and Bristol, with projects and discussions that involve all our locations. Perhaps the best way to get an idea of to read one of our papers or an article on our blog. If you're excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we'd love to hear from you! Responsibilities and Duties Generate AI/ML ideas, design experiments, implement them & evaluate results. Prepare, submit & present your work to AI conferences and workshops. Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports. Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore's next generation of AI hardware. About you: Essential: Master's, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Lower level programming for hardware efficiency, e.g. C++/CUDA/Triton. Practical familiarity with hardware capabilities for deep learning - threads, caches, vector & matrix engines, data dependencies, bus widths and throttling. Practical familiarity with software stacks for deep learning - compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution Desirable: Mathematics skills to support the above: calculus, probability theory and linear algebra. Experience submitting papers to international scientific conferences or workshops. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications
The Role We are currently seeking a talented and autonomous Forward Deployed AI Engineer to join our optimAI team, reporting to VP Innovation and AI Services. This is a crucial, high-impact role for a self-starter who will be responsible for bringing our most innovative AI concepts to life, from initial prototype to final deployment. The most important skill is a deep curiosity and a scientific mindset, alongside a desire to build incredible things. You will be a hands on generalist, bridging the gap between data science, software engineering, and generative AI. Your primary goal is to work to outcomes, not specific instructions, with a focus on delivering tangible value that delights the customer. The role may require time spent on site with customers to deliver solutions. We love to work with people who have a deeply curious mindset and the ability to work in an agile, fast paced environment. You will monitor technology trends, build solutions, and have the opportunity to experiment and define the future. You must be able to articulate the "why" behind your work in terms of clear customer value, and we want you to develop your opinions and deep insights for the projects you work on. Successful candidates must be eligible for, and able to obtain and maintain, Security Check (SC) level security clearance. Key Responsibilities End-to-End Development: Design, build, and deploy AI-driven solutions, including setting up databases, creating data pipelines, and integrating models into production systems. AI and Machine Learning: Track the latest model releases, compare and evaluate them against customer use cases, explore and deploy the latest AI data architectures. Infrastructure Management: Configure and manage local AI infrastructure, including setting up and optimizing Large Language Models (LLMs) and knowledge bases for local use. Full-Stack Development with AI integration: Create front end prototypes and back end systems for agentic simulations and other AI applications to showcase their potential. Be comfortable working with both manual and AI-generated code. Prompt and Query Engineering: Work alongside our data scientists to develop and test complex queries and prompt engineering techniques to optimize the performance of our AI models. Research and Learning: Capture key learnings, pitfalls, and best practices from your work to inform our overall AI strategy and future roadmap. Collaboration: Work closely with cross functional teams, including product managers, data scientists, and senior leadership, to translate business needs into technical solutions. Project Ownership: Autonomously drive projects and be able to clearly articulate the value of each one to the customer. This requires a self starter who can work to outcomes rather than just following instructions. Travel and On Site Working: Be willing to spend time deployed with customers to solve their most difficult problems using our software and solutions. Skills, Knowledge, and Expertise Education: an undergraduate degree in a technical discipline (computer science, mathematics, physics, etc.) from a top university. Relevant Masters and PhD qualifications will be considered a strong plus. AI/ML Expertise: Hands on experience with a variety of AI tools, frameworks, and concepts, including working with LLMs (Large Language Models), RAG (Retrieval Augmented Generation), and deploying AI solutions. Software Development: Ability to think in terms of abstractions, modularity, and repeatability, as well as work with AI code generation agents. Experience with languages like Rust, C++, or Python is a significant plus. Although desirable, there is no explicit requirement for previous years of experience; we're looking for skills as opposed to time served. Technical Versatility: A strong background as a generalist engineer with demonstrated experience across multiple technical domains. The ability to write great code is more important than proficiency in any specific language. Execution Focus: Able to act fast and decisively to get things done, with a bias towards action. You should be systematic but not rigid, making thoughtful tradeoffs to move projects forward. Customer-Centric Mindset: An ability to understand customer value hypotheses against concepts and translate them into functional prototypes. Deep Curiosity & Humility: A deeply curious mindset is essential. You should also be humble and comfortable saying "I don't know" when appropriate. Communication: Can articulate complex and highly technical ideas clearly. You should be able to communicate effectively internally and externally. Job Benefits We make Hadean an awesome place to work with competitive benefits The option to work from home (Weds/Thurs/Fri) or from our fantastic office in Shoreditch, London (as many days as you like!) Flexible working Private Health Insurance Enhanced pension scheme Enhanced parental leave 3 extra days off at Christmas (on top of our standard 25) L&D budget Regularly scheduled socials Share options A Place For Everyone We believe diversity drives innovation and for that reason we strongly encourage those from all backgrounds to apply for roles at Hadean. We are an equal opportunity employer and aim to build a workforce that is truly representative of the communities in which we operate and our clients. If you need reasonable adjustments at any point in the application or interview process, please speak with the People team who will be happy to support you. If you have a preferred pronoun, please feel free to highlight this during the process (e.g. she/her, he/him, they/them, etc.).
11/05/2026
Full time
The Role We are currently seeking a talented and autonomous Forward Deployed AI Engineer to join our optimAI team, reporting to VP Innovation and AI Services. This is a crucial, high-impact role for a self-starter who will be responsible for bringing our most innovative AI concepts to life, from initial prototype to final deployment. The most important skill is a deep curiosity and a scientific mindset, alongside a desire to build incredible things. You will be a hands on generalist, bridging the gap between data science, software engineering, and generative AI. Your primary goal is to work to outcomes, not specific instructions, with a focus on delivering tangible value that delights the customer. The role may require time spent on site with customers to deliver solutions. We love to work with people who have a deeply curious mindset and the ability to work in an agile, fast paced environment. You will monitor technology trends, build solutions, and have the opportunity to experiment and define the future. You must be able to articulate the "why" behind your work in terms of clear customer value, and we want you to develop your opinions and deep insights for the projects you work on. Successful candidates must be eligible for, and able to obtain and maintain, Security Check (SC) level security clearance. Key Responsibilities End-to-End Development: Design, build, and deploy AI-driven solutions, including setting up databases, creating data pipelines, and integrating models into production systems. AI and Machine Learning: Track the latest model releases, compare and evaluate them against customer use cases, explore and deploy the latest AI data architectures. Infrastructure Management: Configure and manage local AI infrastructure, including setting up and optimizing Large Language Models (LLMs) and knowledge bases for local use. Full-Stack Development with AI integration: Create front end prototypes and back end systems for agentic simulations and other AI applications to showcase their potential. Be comfortable working with both manual and AI-generated code. Prompt and Query Engineering: Work alongside our data scientists to develop and test complex queries and prompt engineering techniques to optimize the performance of our AI models. Research and Learning: Capture key learnings, pitfalls, and best practices from your work to inform our overall AI strategy and future roadmap. Collaboration: Work closely with cross functional teams, including product managers, data scientists, and senior leadership, to translate business needs into technical solutions. Project Ownership: Autonomously drive projects and be able to clearly articulate the value of each one to the customer. This requires a self starter who can work to outcomes rather than just following instructions. Travel and On Site Working: Be willing to spend time deployed with customers to solve their most difficult problems using our software and solutions. Skills, Knowledge, and Expertise Education: an undergraduate degree in a technical discipline (computer science, mathematics, physics, etc.) from a top university. Relevant Masters and PhD qualifications will be considered a strong plus. AI/ML Expertise: Hands on experience with a variety of AI tools, frameworks, and concepts, including working with LLMs (Large Language Models), RAG (Retrieval Augmented Generation), and deploying AI solutions. Software Development: Ability to think in terms of abstractions, modularity, and repeatability, as well as work with AI code generation agents. Experience with languages like Rust, C++, or Python is a significant plus. Although desirable, there is no explicit requirement for previous years of experience; we're looking for skills as opposed to time served. Technical Versatility: A strong background as a generalist engineer with demonstrated experience across multiple technical domains. The ability to write great code is more important than proficiency in any specific language. Execution Focus: Able to act fast and decisively to get things done, with a bias towards action. You should be systematic but not rigid, making thoughtful tradeoffs to move projects forward. Customer-Centric Mindset: An ability to understand customer value hypotheses against concepts and translate them into functional prototypes. Deep Curiosity & Humility: A deeply curious mindset is essential. You should also be humble and comfortable saying "I don't know" when appropriate. Communication: Can articulate complex and highly technical ideas clearly. You should be able to communicate effectively internally and externally. Job Benefits We make Hadean an awesome place to work with competitive benefits The option to work from home (Weds/Thurs/Fri) or from our fantastic office in Shoreditch, London (as many days as you like!) Flexible working Private Health Insurance Enhanced pension scheme Enhanced parental leave 3 extra days off at Christmas (on top of our standard 25) L&D budget Regularly scheduled socials Share options A Place For Everyone We believe diversity drives innovation and for that reason we strongly encourage those from all backgrounds to apply for roles at Hadean. We are an equal opportunity employer and aim to build a workforce that is truly representative of the communities in which we operate and our clients. If you need reasonable adjustments at any point in the application or interview process, please speak with the People team who will be happy to support you. If you have a preferred pronoun, please feel free to highlight this during the process (e.g. she/her, he/him, they/them, etc.).
Web Applications Team Lead Department: Engineering Employment Type: Full Time Location: Middleton Stoney, United Kingdom Description We are looking for a Web Applications Team Lead who will be responsible for designing, developing, and maintaining web applications for automotive and mapping products. These applications will enable the configuration, control and debugging of our systems, and subsequent analysis of data they generate. The applications will be deployed on edge, server and cloud infrastructure. This role involves leading the development of web client and backend server applications and contributing across the full software development lifecycle. The Web Application Team Lead will also provide line management, recruitment, technical guidance and mentoring to their team members. Key Responsibilities Design, develop, test and maintain web client and backend software across the full software development lifecycle. Lead the development of large web client and backend server applications. Capture and interpret customer and user requirements to deliver high quality, reliable software solutions. Develop and maintain real time and post processed data analysis software, incorporating mathematical algorithms and data visualisation tools. Apply strong knowledge of C#, .NET Core, ASP.NET and front end languages such as HTML, JavaScript, TypeScript and/or React to produce robust, scalable and maintainable code. Adhere to company coding standards, software documentation practices, version control and release management procedures. Develop and maintain software architecture using best practices, including multi threading, design patterns and SOLID principles. Plan, track and manage software development activities, working independently and collaboratively within agile teams to meet project objectives and deadlines. Specify, install and maintain development tools and technologies, including version control systems, IDEs and testing frameworks (e.g., GitLab DevOps). Investigate and resolve complex software issues or feature requests raised by internal teams, representatives or customers. Contribute to research and development initiatives by identifying opportunities for innovation and improvement in existing or new software products. Provide guidance, mentoring, and management support to their team. Skills, Knowledge and Expertise Degree in engineering, mathematics or a scientific discipline. Significant professional experience (approximately 5+ years) as a web or software developer, including experience in a technical leadership and/or team leadership capacity. Professional experience leading, mentoring and managing the professional development of a team of engineers. Strong programming skills in C#, .NET Core, ASP.NET, HTML, JavaScript, TypeScript and/or React frameworks. Solid understanding of software architecture, design patterns and multi threaded application development. Experience developing interactive web interfaces, including the use of data visualisation tools. Proficiency in version control, testing and release management practices, ideally using GitLab DevOps. Familiarity with Agile methodologies and collaborative software development environments. Excellent problem solving and analytical skills, with a logical and creative approach to technical challenges. Strong communication and teamwork skills, with the ability to work effectively across technical and non technical teams. Self motivated and results driven, with the ability to manage priorities of self and others and meet deadlines. Commitment to high standards of quality and continuous improvement. Able to make sound technical decisions and take ownership of outcomes. Strong stakeholder engagement skills, including the ability to explain technical concepts and manage expectations. Benefits Annual discretionary profit share bonus Holiday entitlement of 27 days plus 8 bank holidays 5 % employee and 5 % employer contributions through our salary sacrifice workplace pension scheme with Scottish Widows Private medical insurance Group income protection insurance scheme Death in service scheme Electric vehicle scheme (after 12 months service)
11/05/2026
Full time
Web Applications Team Lead Department: Engineering Employment Type: Full Time Location: Middleton Stoney, United Kingdom Description We are looking for a Web Applications Team Lead who will be responsible for designing, developing, and maintaining web applications for automotive and mapping products. These applications will enable the configuration, control and debugging of our systems, and subsequent analysis of data they generate. The applications will be deployed on edge, server and cloud infrastructure. This role involves leading the development of web client and backend server applications and contributing across the full software development lifecycle. The Web Application Team Lead will also provide line management, recruitment, technical guidance and mentoring to their team members. Key Responsibilities Design, develop, test and maintain web client and backend software across the full software development lifecycle. Lead the development of large web client and backend server applications. Capture and interpret customer and user requirements to deliver high quality, reliable software solutions. Develop and maintain real time and post processed data analysis software, incorporating mathematical algorithms and data visualisation tools. Apply strong knowledge of C#, .NET Core, ASP.NET and front end languages such as HTML, JavaScript, TypeScript and/or React to produce robust, scalable and maintainable code. Adhere to company coding standards, software documentation practices, version control and release management procedures. Develop and maintain software architecture using best practices, including multi threading, design patterns and SOLID principles. Plan, track and manage software development activities, working independently and collaboratively within agile teams to meet project objectives and deadlines. Specify, install and maintain development tools and technologies, including version control systems, IDEs and testing frameworks (e.g., GitLab DevOps). Investigate and resolve complex software issues or feature requests raised by internal teams, representatives or customers. Contribute to research and development initiatives by identifying opportunities for innovation and improvement in existing or new software products. Provide guidance, mentoring, and management support to their team. Skills, Knowledge and Expertise Degree in engineering, mathematics or a scientific discipline. Significant professional experience (approximately 5+ years) as a web or software developer, including experience in a technical leadership and/or team leadership capacity. Professional experience leading, mentoring and managing the professional development of a team of engineers. Strong programming skills in C#, .NET Core, ASP.NET, HTML, JavaScript, TypeScript and/or React frameworks. Solid understanding of software architecture, design patterns and multi threaded application development. Experience developing interactive web interfaces, including the use of data visualisation tools. Proficiency in version control, testing and release management practices, ideally using GitLab DevOps. Familiarity with Agile methodologies and collaborative software development environments. Excellent problem solving and analytical skills, with a logical and creative approach to technical challenges. Strong communication and teamwork skills, with the ability to work effectively across technical and non technical teams. Self motivated and results driven, with the ability to manage priorities of self and others and meet deadlines. Commitment to high standards of quality and continuous improvement. Able to make sound technical decisions and take ownership of outcomes. Strong stakeholder engagement skills, including the ability to explain technical concepts and manage expectations. Benefits Annual discretionary profit share bonus Holiday entitlement of 27 days plus 8 bank holidays 5 % employee and 5 % employer contributions through our salary sacrifice workplace pension scheme with Scottish Widows Private medical insurance Group income protection insurance scheme Death in service scheme Electric vehicle scheme (after 12 months service)
CoreTech is looking for candidates with a STEM background, which may also include experience of research, cyber security or ethical hacking, to join our team. Our team is highly experienced, deeply technical and passionate about delivering quality solutions that blend rapid development, security research and software engineering skills. Our Research team uses a wide range of tools, programming languages and emerging technologies to develop rapid prototypes, minimal viable products and world class research that has meaningful real world impact. The work is conducted in a fast paced and dynamic environment, which results in solutions to some of the most complex cyber security challenges faced by the UK. This means no two days are the same and project requirements can quickly change based on your experience, understanding and input. We are looking for skills in a variety of technologies, but experience with C, C++, Python, operating system internals, embedded systems, network packet analysis or machine learning would be advantageous. Equally, the role requires an inquisitive mindset, persistence, and enthusiasm for solving difficult research tasks, which can often appeal to those with a technologist, scientific or mathematical background. As part of our team, you will Work alongside hugely talented and respected researchers, vulnerability researchers and software engineers. Tackle a wide range of challenging problems using various technologies. Conduct cutting edge, novel and world leading research. Design and produce niche solutions with immediate real world impact. Use your skills and experience to propose new ways of doing things. Continually learn new skills and technologies. An ideal candidate will Have a passion for cyber security and/or technology. Thrive on solving difficult and complex problems. Have a genuine interest in how technology works and how it can be applied in different ways. Enjoy sharing their knowledge and working with team members. Work with various technologies and programming languages, with uncertain outcomes, to achieve something new. Your Experience Reverse engineering in IDA Pro or Ghidra. Familiarity with Wireshark or other network packet analysis tooling. Ethical hacking. Network and protocol analysis. Hardware debugging (UART, JTAG, SWD). Knowledge of exploitation techniques and mitigations. Experience and knowledge of operating system internals, including Linux, Windows and embedded systems. Experience and knowledge of Android or iOS, and its internals. Familiarity with C, C++ or Python. RF technologies and Software Defined Radio. An inquisitive nature. Problem solver. We are recruiting at all grades from junior consultants through to highly experienced principal consultants. This vacancy is aimed at our junior, consultant and lead grades. This role will require skills and experience in the areas listed. At a junior level a passion and enthusiasm for the subject with an understanding of core principles is required. As the grades progress we're looking for increased experience and deeper expertise in some of the areas listed as well as the ability to lead technical projects.
11/05/2026
Full time
CoreTech is looking for candidates with a STEM background, which may also include experience of research, cyber security or ethical hacking, to join our team. Our team is highly experienced, deeply technical and passionate about delivering quality solutions that blend rapid development, security research and software engineering skills. Our Research team uses a wide range of tools, programming languages and emerging technologies to develop rapid prototypes, minimal viable products and world class research that has meaningful real world impact. The work is conducted in a fast paced and dynamic environment, which results in solutions to some of the most complex cyber security challenges faced by the UK. This means no two days are the same and project requirements can quickly change based on your experience, understanding and input. We are looking for skills in a variety of technologies, but experience with C, C++, Python, operating system internals, embedded systems, network packet analysis or machine learning would be advantageous. Equally, the role requires an inquisitive mindset, persistence, and enthusiasm for solving difficult research tasks, which can often appeal to those with a technologist, scientific or mathematical background. As part of our team, you will Work alongside hugely talented and respected researchers, vulnerability researchers and software engineers. Tackle a wide range of challenging problems using various technologies. Conduct cutting edge, novel and world leading research. Design and produce niche solutions with immediate real world impact. Use your skills and experience to propose new ways of doing things. Continually learn new skills and technologies. An ideal candidate will Have a passion for cyber security and/or technology. Thrive on solving difficult and complex problems. Have a genuine interest in how technology works and how it can be applied in different ways. Enjoy sharing their knowledge and working with team members. Work with various technologies and programming languages, with uncertain outcomes, to achieve something new. Your Experience Reverse engineering in IDA Pro or Ghidra. Familiarity with Wireshark or other network packet analysis tooling. Ethical hacking. Network and protocol analysis. Hardware debugging (UART, JTAG, SWD). Knowledge of exploitation techniques and mitigations. Experience and knowledge of operating system internals, including Linux, Windows and embedded systems. Experience and knowledge of Android or iOS, and its internals. Familiarity with C, C++ or Python. RF technologies and Software Defined Radio. An inquisitive nature. Problem solver. We are recruiting at all grades from junior consultants through to highly experienced principal consultants. This vacancy is aimed at our junior, consultant and lead grades. This role will require skills and experience in the areas listed. At a junior level a passion and enthusiasm for the subject with an understanding of core principles is required. As the grades progress we're looking for increased experience and deeper expertise in some of the areas listed as well as the ability to lead technical projects.
At Tesco, our Data Science team builds scalable solutions to complex business challenges across stores, online, supply chain, marketing and Clubcard. We apply advanced machine learning, generative AI, and large language models (LLMs) to personalise customer experiences, optimise operations and drive innovation. We work across several business domains, including customer experience, online, fulfilment, distribution, commodities, store operations and technology. Team members rotate across domains to broaden their expertise and impact. We foster a culture of continuous learning, dedicating 10% of the working week to personal development. Our team benefits from academic partnerships, regular knowledge-sharing events and a collaborative, inclusive environment that values work life balance and professional growth. As a Data Scientist at Tesco, you will develop and deploy machine learning and generative AI solutions that directly impact how we serve our customers and run our business. You will be responsible for designing and implementing robust models, experimenting with new approaches, and translating business problems into data science solutions. This includes building prototypes, evaluating model performance both statistically and in terms of business impact, and scaling models into production. You will collaborate closely with Machine Learning Engineers and Software Engineers to ensure solutions are efficient, maintainable, and aligned with Tesco's technology standards. You will also play a key role in communicating complex ideas clearly to non technical stakeholders, contributing to internal knowledge sharing and representing Tesco in the external data science community. Staying current with developments in GenAI and LLMs will be essential, as you will help to evaluate and integrate emerging techniques into our data products. We are looking for a curious and driven individual with a strong foundation in machine learning, statistics, and programming. You will be comfortable designing and implementing models using Python and working with large scale data in distributed computing environments. Hands on experience with generative AI, LLMs, and deep learning frameworks is valued. You will translate business problems into data science solutions and communicate your findings clearly to both technical and non technical audiences. A scientific mindset, critical thinking, and the ability to ask the right questions are essential. You will be proactive in learning new methods, staying up to date with the latest developments, and contributing to a culture of knowledge sharing and collaboration. A higher degree in a quantitative discipline - such as Mathematics, Computer Science, Engineering, or Physics - is preferred, though equivalent experience in a commercial setting is also valued. Strong coding practices, including version control and testing, are expected. Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process.
11/05/2026
Full time
At Tesco, our Data Science team builds scalable solutions to complex business challenges across stores, online, supply chain, marketing and Clubcard. We apply advanced machine learning, generative AI, and large language models (LLMs) to personalise customer experiences, optimise operations and drive innovation. We work across several business domains, including customer experience, online, fulfilment, distribution, commodities, store operations and technology. Team members rotate across domains to broaden their expertise and impact. We foster a culture of continuous learning, dedicating 10% of the working week to personal development. Our team benefits from academic partnerships, regular knowledge-sharing events and a collaborative, inclusive environment that values work life balance and professional growth. As a Data Scientist at Tesco, you will develop and deploy machine learning and generative AI solutions that directly impact how we serve our customers and run our business. You will be responsible for designing and implementing robust models, experimenting with new approaches, and translating business problems into data science solutions. This includes building prototypes, evaluating model performance both statistically and in terms of business impact, and scaling models into production. You will collaborate closely with Machine Learning Engineers and Software Engineers to ensure solutions are efficient, maintainable, and aligned with Tesco's technology standards. You will also play a key role in communicating complex ideas clearly to non technical stakeholders, contributing to internal knowledge sharing and representing Tesco in the external data science community. Staying current with developments in GenAI and LLMs will be essential, as you will help to evaluate and integrate emerging techniques into our data products. We are looking for a curious and driven individual with a strong foundation in machine learning, statistics, and programming. You will be comfortable designing and implementing models using Python and working with large scale data in distributed computing environments. Hands on experience with generative AI, LLMs, and deep learning frameworks is valued. You will translate business problems into data science solutions and communicate your findings clearly to both technical and non technical audiences. A scientific mindset, critical thinking, and the ability to ask the right questions are essential. You will be proactive in learning new methods, staying up to date with the latest developments, and contributing to a culture of knowledge sharing and collaboration. A higher degree in a quantitative discipline - such as Mathematics, Computer Science, Engineering, or Physics - is preferred, though equivalent experience in a commercial setting is also valued. Strong coding practices, including version control and testing, are expected. Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process.
Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. Processing thousands of rich data points per second from many vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires. The Data Platform Team is responsible for all of Vortexa's data. The team's ownership ranges from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. The team is also responsible for highly structured datasets such as price and supply-demand forecasts as well as modeling the global energy flows and tanker fleet distributions. The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions. You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines. Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global flows of oil and fuels in real-time, optimising the energy markets and enabling the society as a whole to use the natural resources of our planet to the benefit of all. You Are: Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role Experienced in building distributed heavy-load backend systems that can go through terabytes of data daily Passionate about coaching developers, helping them improve their skills and grow their careers Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations Awesome If You: Are experienced in Rust / Java / Kotlin Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark - especially deployment, monitoring & debugging Have experience with productisation of Machine Learning research projects Are familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes Understand data lake systems and file formats like Parquet, Orc, Athena Have some relevant AWS or Kafka certifications A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options) in a business-savvy and responsible way Motivated by being collaborative, working and achieving together A flexible working policy- accommodating both remote & home working, with regular staff events Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better
11/05/2026
Full time
Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. Processing thousands of rich data points per second from many vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires. The Data Platform Team is responsible for all of Vortexa's data. The team's ownership ranges from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. The team is also responsible for highly structured datasets such as price and supply-demand forecasts as well as modeling the global energy flows and tanker fleet distributions. The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions. You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines. Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global flows of oil and fuels in real-time, optimising the energy markets and enabling the society as a whole to use the natural resources of our planet to the benefit of all. You Are: Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role Experienced in building distributed heavy-load backend systems that can go through terabytes of data daily Passionate about coaching developers, helping them improve their skills and grow their careers Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations Awesome If You: Are experienced in Rust / Java / Kotlin Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark - especially deployment, monitoring & debugging Have experience with productisation of Machine Learning research projects Are familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes Understand data lake systems and file formats like Parquet, Orc, Athena Have some relevant AWS or Kafka certifications A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options) in a business-savvy and responsible way Motivated by being collaborative, working and achieving together A flexible working policy- accommodating both remote & home working, with regular staff events Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better
Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. Processing thousands of rich data points per second from many vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires. The Data Platform Team is responsible for all of Vortexa's data. The team's ownership ranges from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. The team is also responsible for highly structured datasets such as price and supply-demand forecasts as well as modeling the global energy flows and tanker fleet distributions. The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions. You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines. Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global flows of oil and fuels in real-time, optimising the energy markets and enabling the society as a whole to use the natural resources of our planet to the benefit of all. You Are: Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role Experienced in building distributed heavy-load backend systems that can go through terabytes of data daily Passionate about coaching developers, helping them improve their skills and grow their careers Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations Awesome If You: Are experienced in Rust / Java / Kotlin Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark - especially deployment, monitoring & debugging Have experience with productisation of Machine Learning research projects Are familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes Understand data lake systems and file formats like Parquet, Orc, Athena Have some relevant AWS or Kafka certifications A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options) in a business-savvy and responsible way Motivated by being collaborative, working and achieving together A flexible working policy- accommodating both remote & home working, with regular staff events Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better
11/05/2026
Full time
Vortexa is a fast-growing international technology business founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global seaborne energy flows in real-time, bringing transparency and efficiency to the energy markets and society as a whole. Processing thousands of rich data points per second from many vastly different external sources, moving terabytes of data while processing it in real-time, running complex prediction and forecasting AI models while coupling their output into a hybrid human-machine data refinement process and presenting the result through a nimble low-latency SaaS solution used by customers around the globe is no small feat of science and engineering. This processing requires models that can survive the scrutiny of industry experts, data analysts and traders, with the performance, stability, latency and agility a fast-moving startup influencing multi-$m transactions requires. The Data Platform Team is responsible for all of Vortexa's data. The team's ownership ranges from raw satellite AIS/imaging data to unstructured textual and graphical maritime data like fixtures, port lineups, and customs filings. The team is also responsible for highly structured datasets such as price and supply-demand forecasts as well as modeling the global energy flows and tanker fleet distributions. The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge research to real-world problems in a robust, long-lasting and maintainable way. The quality of our data is continuously benchmarked and assessed by experienced in-house market and data analysts to ensure the quality of our predictions. You'll be instrumental in designing and building infrastructure and applications to propel the design, deployment, and benchmarking of existing and new pipelines and ML models. Working with software and data engineers, data scientists and market analysts, you'll help bridge the gap between scientific experiments and commercial products by ensuring 100% uptime and bulletproof fault-tolerance of every component of the team's data pipelines. Vortexa was founded to solve the immense information gap that exists in the energy industry. By using massive amounts of new satellite data and pioneering work in artificial intelligence, Vortexa creates an unprecedented view on the global flows of oil and fuels in real-time, optimising the energy markets and enabling the society as a whole to use the natural resources of our planet to the benefit of all. You Are: Fluent in Python and software engineering fundamentals, and comfortable with highly scalable data processing libraries Strong expertise in distributed systems, micro-service architectures and scalable data processing pipelines Driven by working in an intellectually engaging environment with the top minds in the industry, where constructive and friendly challenges and debates are encouraged, not avoided Excited about working in a start-up environment: not afraid of challenges, excited to bring new ideas to production, and a positive can-do will-do person, not afraid to push the boundaries of your job role Experienced in building distributed heavy-load backend systems that can go through terabytes of data daily Passionate about coaching developers, helping them improve their skills and grow their careers Deep experience of the full software development life cycle (SDLC), including technical design, coding standards, code review, source control, build, test, deploy, and operations Awesome If You: Are experienced in Rust / Java / Kotlin Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam / Flink / Spark - especially deployment, monitoring & debugging Have experience with productisation of Machine Learning research projects Are familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes Understand data lake systems and file formats like Parquet, Orc, Athena Have some relevant AWS or Kafka certifications A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options) in a business-savvy and responsible way Motivated by being collaborative, working and achieving together A flexible working policy- accommodating both remote & home working, with regular staff events Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better
Processing thousands of energy data points per second from diverse operational sources, handling massive volumes of energy data while running sophisticated classification and anomaly detection models in real-time, maintaining comprehensive data lineage, and delivering insights through high-performance platforms used by energy operators globally requires exceptional engineering and scientific expertise. This processing demands models that can withstand the scrutiny of energy analysts and traders, operations teams, and regulatory bodies, with the performance, stability, and reliability that critical energy systems require. The Data Platform Team is responsible for all machine learning operations across our energy data ecosystem. We work with everything from raw sensor data from millions of energy assets to complex operational datasets, generating high-value predictions such as equipment failure detection, energy demand forecasting, operational anomaly identification, predictive maintenance scheduling, and system optimization recommendations. The team has built a comprehensive suite of statistical and machine learning models that enable us to provide the most accurate and actionable insights into energy operations. We take pride in applying cutting edge research to real world energy challenges in a robust, scalable, and maintainable way. The quality of our models is continuously validated by experienced in house energy analysts and traders and domain experts to ensure reliability of our predictions. You'll be instrumental in designing and building ML infrastructure and applications to propel the design, deployment, and monitoring of existing and new ML pipelines and models. Working with software engineers, data scientists, and energy analysts and traders, you'll help bridge the gap between research experiments and production energy systems by ensuring 100% uptime and bulletproof fault tolerance of every component of our ML platform. You Are: Experienced in building and deploying distributed scalable ML pipelines that can process large volumes of energy data daily using Kubernetes and MLflow With solid machine learning engineering fundamentals, fluent in Python, PyTorch, and XGBoost Skilled in developing classification models and anomaly detection systems for production environments Capable of implementing comprehensive data lineage tracking and model governance systems Driven by working in an intellectually engaging environment with top energy analysts and traders and technology experts, where constructive challenges and technical debates are encouraged Excited about working in a dynamic environment: not afraid of complex energy challenges, eager to bring new ML innovations to production, and a positive can do attitude Passionate about mentoring team members, helping them improve their ML engineering skills and grow their careers Experienced with the full ML model lifecycle, including experiment design, model development, validation, deployment, monitoring, and maintenance Awesome If You: Have experience in the energy sector or understanding of energy systems and operations Have practical experience with AWS services (SageMaker, S3, EC2, Lambda, etc.) Have experience with infrastructure as code tools (Terraform, CloudFormation) Have experience with Apache Kafka and real time streaming frameworks Are familiar with observability principles such as logging, monitoring, and distributed tracing for ML systems Have experience with transformer architectures and generative AI applications in operational contexts Have experience with time series analysis and forecasting techniques relevant to energy applications Are knowledgeable about data privacy regulations and compliance frameworks in the energy sector Benefits Enjoy flexible hybrid working - split your time between home and our office, with the freedom to work where you're most productive. A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options)- in a business savvy and responsible way Motivated by being collaborative, working and achieving together Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better
11/05/2026
Full time
Processing thousands of energy data points per second from diverse operational sources, handling massive volumes of energy data while running sophisticated classification and anomaly detection models in real-time, maintaining comprehensive data lineage, and delivering insights through high-performance platforms used by energy operators globally requires exceptional engineering and scientific expertise. This processing demands models that can withstand the scrutiny of energy analysts and traders, operations teams, and regulatory bodies, with the performance, stability, and reliability that critical energy systems require. The Data Platform Team is responsible for all machine learning operations across our energy data ecosystem. We work with everything from raw sensor data from millions of energy assets to complex operational datasets, generating high-value predictions such as equipment failure detection, energy demand forecasting, operational anomaly identification, predictive maintenance scheduling, and system optimization recommendations. The team has built a comprehensive suite of statistical and machine learning models that enable us to provide the most accurate and actionable insights into energy operations. We take pride in applying cutting edge research to real world energy challenges in a robust, scalable, and maintainable way. The quality of our models is continuously validated by experienced in house energy analysts and traders and domain experts to ensure reliability of our predictions. You'll be instrumental in designing and building ML infrastructure and applications to propel the design, deployment, and monitoring of existing and new ML pipelines and models. Working with software engineers, data scientists, and energy analysts and traders, you'll help bridge the gap between research experiments and production energy systems by ensuring 100% uptime and bulletproof fault tolerance of every component of our ML platform. You Are: Experienced in building and deploying distributed scalable ML pipelines that can process large volumes of energy data daily using Kubernetes and MLflow With solid machine learning engineering fundamentals, fluent in Python, PyTorch, and XGBoost Skilled in developing classification models and anomaly detection systems for production environments Capable of implementing comprehensive data lineage tracking and model governance systems Driven by working in an intellectually engaging environment with top energy analysts and traders and technology experts, where constructive challenges and technical debates are encouraged Excited about working in a dynamic environment: not afraid of complex energy challenges, eager to bring new ML innovations to production, and a positive can do attitude Passionate about mentoring team members, helping them improve their ML engineering skills and grow their careers Experienced with the full ML model lifecycle, including experiment design, model development, validation, deployment, monitoring, and maintenance Awesome If You: Have experience in the energy sector or understanding of energy systems and operations Have practical experience with AWS services (SageMaker, S3, EC2, Lambda, etc.) Have experience with infrastructure as code tools (Terraform, CloudFormation) Have experience with Apache Kafka and real time streaming frameworks Are familiar with observability principles such as logging, monitoring, and distributed tracing for ML systems Have experience with transformer architectures and generative AI applications in operational contexts Have experience with time series analysis and forecasting techniques relevant to energy applications Are knowledgeable about data privacy regulations and compliance frameworks in the energy sector Benefits Enjoy flexible hybrid working - split your time between home and our office, with the freedom to work where you're most productive. A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team of motivated characters and top minds striving to be the best at what we do at all times Constantly learning and exploring new tools and technologies Acting as company owners (all Vortexa staff have equity options)- in a business savvy and responsible way Motivated by being collaborative, working and achieving together Private Health Insurance offered via Vitality to help you look after your physical health Global Volunteering Policy to help you 'do good' and feel better
We Are At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are An analytical engineer with a passion for scientific computing, applied mathematics, and advanced technology. With a strong academic background and hands on experience in large-scale engineering software, you thrive in complex problem solving environments and enjoy collaborating with diverse teams. Adaptable and creative, you are motivated by the impact of your work on consumer products worldwide. Expertise in numerical methods, high performance computing, parallel programming, and machine learning enables you to tackle intricate challenges with dedication and curiosity. Strong communication skills, a proactive mindset, and a commitment to excellence round out your profile as an ideal contributor to our international R&D team. What You'll Be Doing Designing and implementing GPU/CPU performance optimizations for large-scale TCAD simulations Developing distributed-computing solutions to enable efficient simulation of complex nanoscale devices Applying machine learning models to address emerging technology challenges in semiconductor simulation Performing numerical analysis of strongly coupled PDE systems to enhance simulation accuracy and speed Collaborating closely with Application Engineering and cross functional teams to refine and validate solutions Contributing to the continuous improvement of the Sentaurus product line used by semiconductor companies, research institutions, and universities worldwide Engaging in code reviews, technical discussions, and knowledge sharing within a high performing R&D culture The Impact You Will Have Drive innovations that enable next generation chip design and simulation for global industry leaders Accelerate the development of consumer products-phones, cameras, cars, and more-by advancing simulation technology Enhance the performance and scalability of the Sentaurus product line, directly influencing semiconductor research and development Support the transition to smarter, more efficient devices by integrating advanced ML and HPC techniques Foster collaboration across teams and disciplines, promoting a culture of creativity and technical excellence Champion the adoption of new methodologies and tools, ensuring Synopsys remains at the forefront of innovation Mentor and inspire peers, contributing to the growth and diversity of the R&D engineering community What You'll Need PhD or MS in Applied Mathematics or a closely related field, with 3+ years of experience developing large, complex engineering software Strong background in numerical methods, high performance computing (HPC), and parallel programming (MPI, TBB, OpenMP) Proficiency in software design and programming, particularly in C++, CUDA, and Python Experience applying machine learning methods in an engineering or scientific computing context Expertise in numerical analysis, especially with strongly coupled PDE systems Preferred: Experience in applied physics, electrical engineering, or mechanical engineering background in linear solver methods, discretization methods (FEM, FVM) OR physical modelling of semiconductor devices Who You Are Analytical and detail oriented, with a strong problem solving mindset Collaborative and open to diverse perspectives, thriving in a multicultural team environment Innovative and creative, always seeking new approaches and solutions Effective communicator, able to explain complex concepts to varied audiences Self motivated, proactive, and committed to continuous learning and improvement Adaptable and resilient, comfortable with ambiguity and rapid technological change The Team You'll Be A Part Of You'll join the Synopsys TCAD R&D team-a high performing, collaborative group of engineers, scientists, and innovators dedicated to advancing simulation technology for semiconductor devices. Our team brings together diverse expertise in mathematics, physics, computing, and engineering, fostering a creative, international work environment where every member's contributions matter. We value knowledge sharing, mentorship, and a culture of continuous improvement, enabling you to grow professionally and make a tangible impact on industry leading products. Rewards and Benefits We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
10/05/2026
Full time
We Are At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are An analytical engineer with a passion for scientific computing, applied mathematics, and advanced technology. With a strong academic background and hands on experience in large-scale engineering software, you thrive in complex problem solving environments and enjoy collaborating with diverse teams. Adaptable and creative, you are motivated by the impact of your work on consumer products worldwide. Expertise in numerical methods, high performance computing, parallel programming, and machine learning enables you to tackle intricate challenges with dedication and curiosity. Strong communication skills, a proactive mindset, and a commitment to excellence round out your profile as an ideal contributor to our international R&D team. What You'll Be Doing Designing and implementing GPU/CPU performance optimizations for large-scale TCAD simulations Developing distributed-computing solutions to enable efficient simulation of complex nanoscale devices Applying machine learning models to address emerging technology challenges in semiconductor simulation Performing numerical analysis of strongly coupled PDE systems to enhance simulation accuracy and speed Collaborating closely with Application Engineering and cross functional teams to refine and validate solutions Contributing to the continuous improvement of the Sentaurus product line used by semiconductor companies, research institutions, and universities worldwide Engaging in code reviews, technical discussions, and knowledge sharing within a high performing R&D culture The Impact You Will Have Drive innovations that enable next generation chip design and simulation for global industry leaders Accelerate the development of consumer products-phones, cameras, cars, and more-by advancing simulation technology Enhance the performance and scalability of the Sentaurus product line, directly influencing semiconductor research and development Support the transition to smarter, more efficient devices by integrating advanced ML and HPC techniques Foster collaboration across teams and disciplines, promoting a culture of creativity and technical excellence Champion the adoption of new methodologies and tools, ensuring Synopsys remains at the forefront of innovation Mentor and inspire peers, contributing to the growth and diversity of the R&D engineering community What You'll Need PhD or MS in Applied Mathematics or a closely related field, with 3+ years of experience developing large, complex engineering software Strong background in numerical methods, high performance computing (HPC), and parallel programming (MPI, TBB, OpenMP) Proficiency in software design and programming, particularly in C++, CUDA, and Python Experience applying machine learning methods in an engineering or scientific computing context Expertise in numerical analysis, especially with strongly coupled PDE systems Preferred: Experience in applied physics, electrical engineering, or mechanical engineering background in linear solver methods, discretization methods (FEM, FVM) OR physical modelling of semiconductor devices Who You Are Analytical and detail oriented, with a strong problem solving mindset Collaborative and open to diverse perspectives, thriving in a multicultural team environment Innovative and creative, always seeking new approaches and solutions Effective communicator, able to explain complex concepts to varied audiences Self motivated, proactive, and committed to continuous learning and improvement Adaptable and resilient, comfortable with ambiguity and rapid technological change The Team You'll Be A Part Of You'll join the Synopsys TCAD R&D team-a high performing, collaborative group of engineers, scientists, and innovators dedicated to advancing simulation technology for semiconductor devices. Our team brings together diverse expertise in mathematics, physics, computing, and engineering, fostering a creative, international work environment where every member's contributions matter. We value knowledge sharing, mentorship, and a culture of continuous improvement, enabling you to grow professionally and make a tangible impact on industry leading products. Rewards and Benefits We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
Senior System Modelling Engineer - Lincoln (LN6) Salary £45,000 to £60,000 DOE 25 days annual leave inclusive of up to 3 days Christmas shutdown Buy or sell up to 5 days' annual leave Annual Wellbeing allowance Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Career development support Job Overview Join MASS at our Lincoln office as a Senior System Modelling Engineer and play a key role in delivering cutting edge EW solutions. You'll be helping to design, implement, and validate new capabilities, influence operational outcomes, and develop into a Subject Matter Expert within a high performing, multidisciplinary team. We are expanding our team to produce system level simulation and analysis tools, which will help model and understand complex systems, assess their performance, verify and validate requirements, and help scope hardware and software implementation. You will take ownership of the architecture, definition, creation, and use of high level system representations to guide the development teams in their detailed design activities. This will be a pivotal role in a national defence capability programme, working closely with the team lead, technical leads, and the project Design Authority to ensure designs are able to deliver the required performance. The models will involve aspects of physics, RF, kinematics, mathematics, optimisation, networking, and data analysis, so a broad ability and willingness to learn and apply scientific principles is crucial. Led by our Principal Solution Architect, the team is based at our modern Lincoln HQ on Teal Park, typically spending three days in the office and two from home - giving you the best of both worlds: collaboration and flexibility. Key Responsibilities As a thought leader, you'll shape complex technical concepts from analysis through to delivery, applying your modelling and simulation expertise to help design and implement cutting edge solutions for our customers. You will be responsible for driving an expansion of our system level modelling and simulation efforts and capability, and we are looking for people that are passionate and knowledgeable about complex simulation challenges, and can bring expertise and guidance in this area. Essential Experience Coding experience (MATLAB/Simulink) Broad understanding across physics, engineering, mathematics, and data Experience in integrating heterogeneous models across different engineering disciplines Test and acceptance of integrated systems Experience across the Engineering Delivery Lifecycle Desirable Experience Defence Industry knowledge of EW systems Systems Engineering Requirements Engineering System Design & Architecture Our Non Negotiables A UK National and eligible to work in the UK Eligible to obtain and maintain a UK Government SC level security clearance Benefits & Wellbeing We put wellbeing first, offering mental health support, first aiders, and an extensive Employee Assistance Programme so our people can thrive and reach their full potential. MASS is an equal opportunities employer. We encourage talents from all backgrounds to apply.
10/05/2026
Full time
Senior System Modelling Engineer - Lincoln (LN6) Salary £45,000 to £60,000 DOE 25 days annual leave inclusive of up to 3 days Christmas shutdown Buy or sell up to 5 days' annual leave Annual Wellbeing allowance Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Career development support Job Overview Join MASS at our Lincoln office as a Senior System Modelling Engineer and play a key role in delivering cutting edge EW solutions. You'll be helping to design, implement, and validate new capabilities, influence operational outcomes, and develop into a Subject Matter Expert within a high performing, multidisciplinary team. We are expanding our team to produce system level simulation and analysis tools, which will help model and understand complex systems, assess their performance, verify and validate requirements, and help scope hardware and software implementation. You will take ownership of the architecture, definition, creation, and use of high level system representations to guide the development teams in their detailed design activities. This will be a pivotal role in a national defence capability programme, working closely with the team lead, technical leads, and the project Design Authority to ensure designs are able to deliver the required performance. The models will involve aspects of physics, RF, kinematics, mathematics, optimisation, networking, and data analysis, so a broad ability and willingness to learn and apply scientific principles is crucial. Led by our Principal Solution Architect, the team is based at our modern Lincoln HQ on Teal Park, typically spending three days in the office and two from home - giving you the best of both worlds: collaboration and flexibility. Key Responsibilities As a thought leader, you'll shape complex technical concepts from analysis through to delivery, applying your modelling and simulation expertise to help design and implement cutting edge solutions for our customers. You will be responsible for driving an expansion of our system level modelling and simulation efforts and capability, and we are looking for people that are passionate and knowledgeable about complex simulation challenges, and can bring expertise and guidance in this area. Essential Experience Coding experience (MATLAB/Simulink) Broad understanding across physics, engineering, mathematics, and data Experience in integrating heterogeneous models across different engineering disciplines Test and acceptance of integrated systems Experience across the Engineering Delivery Lifecycle Desirable Experience Defence Industry knowledge of EW systems Systems Engineering Requirements Engineering System Design & Architecture Our Non Negotiables A UK National and eligible to work in the UK Eligible to obtain and maintain a UK Government SC level security clearance Benefits & Wellbeing We put wellbeing first, offering mental health support, first aiders, and an extensive Employee Assistance Programme so our people can thrive and reach their full potential. MASS is an equal opportunities employer. We encourage talents from all backgrounds to apply.
Overview Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting edge technology, we excel in solving complex problems and pushing boundaries together. Susquehanna is looking for a London Support Engineer, who will join our existing London Support team responsible for supporting all teams in Susquehanna's London office which is primarily a highly advanced trade floor. This is a very demanding and varied environment that covers a range of user services for all Susquehanna's London employees. Telecommunications support (including IPC Turret, Cisco Phone, and mobile support) Desktop Support (SCCM Builds, all hardware and software support) Application Support (desktop trading apps, BBG Terminals, Office) Web conferencing and AV administration and support Coordinate and support all visitors, moves and onboarding Inventory Management Printing Support This role involves working in an energetic, dynamic, and fast paced environment providing full support for all employees in London. You will display strong technical ability when making critical support judgments while working under pressure. As a member of the London Support team, you will participate in early morning and late evening shifts and may also be requested to support out of hours work where required. You will collaborate with teams locally, in the Dublin office, and across other offices globally to provide excellent support and services to the business. What we're looking for Provide 1st and 2nd level support - working closely with the software development teams and system architects to provide essential primary support for all desktop software and hardware systems - using tools such as Jira, Confluence, Splunk, WinDbg, Check_MK and Wireshark. Continuous evaluation and improvement of support procedures, development and implementation of required/agreed tools and associated runtime environments. Interact with various internal IT support functions to troubleshoot and resolve problems as they happen. Liaise with technology teams in Ireland, the US and/or external vendors as required. Maintain our Knowledge Base and ensure all relevant run books are up to date. Experience 3+ years providing desktop support for software and hardware systems. Development or trading user support experience is beneficial. Excellent working knowledge of Windows desktop OS Win bit. Ability to monitor and diagnose desktop issues. Ability to modify the system registry for configuring the Windows operating system. PowerShell scripting would be an advantage. BSc in a technical discipline or equivalent experience. Experience working with SCCM would be an advantage. Excellent knowledge of MS Office (2003/2010/2016/O365), in particular Excel. Strong knowledge of Active Directory. Strong working knowledge of peripherals, printers, graphics cards. Hardware experience (KVM switches, multiple screens set up 4x 4k screens , ability to replace components such as graphics cards, CPUs, etc.). BSc in a technical discipline or equivalent experience. Personal Skills Initiative - proven record of seeking continuous improvement and implementing best practice in a technology environment. Ability to work under pressure and tight deadlines. Self motivated and creative. Strong communication (verbal and written) - ability to convey technically complex subjects in a clear and concise manner. Attention to detail - thorough in work carried out. Interpersonal - friendly and approachable. Teamwork - working together to meet deadlines. Excellent time management, organization and prioritization skills. Flexibility - all members of the team participate in early morning and out of hours support schedules. Desire to learn and improve skills and knowledge.
10/05/2026
Full time
Overview Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting edge technology, we excel in solving complex problems and pushing boundaries together. Susquehanna is looking for a London Support Engineer, who will join our existing London Support team responsible for supporting all teams in Susquehanna's London office which is primarily a highly advanced trade floor. This is a very demanding and varied environment that covers a range of user services for all Susquehanna's London employees. Telecommunications support (including IPC Turret, Cisco Phone, and mobile support) Desktop Support (SCCM Builds, all hardware and software support) Application Support (desktop trading apps, BBG Terminals, Office) Web conferencing and AV administration and support Coordinate and support all visitors, moves and onboarding Inventory Management Printing Support This role involves working in an energetic, dynamic, and fast paced environment providing full support for all employees in London. You will display strong technical ability when making critical support judgments while working under pressure. As a member of the London Support team, you will participate in early morning and late evening shifts and may also be requested to support out of hours work where required. You will collaborate with teams locally, in the Dublin office, and across other offices globally to provide excellent support and services to the business. What we're looking for Provide 1st and 2nd level support - working closely with the software development teams and system architects to provide essential primary support for all desktop software and hardware systems - using tools such as Jira, Confluence, Splunk, WinDbg, Check_MK and Wireshark. Continuous evaluation and improvement of support procedures, development and implementation of required/agreed tools and associated runtime environments. Interact with various internal IT support functions to troubleshoot and resolve problems as they happen. Liaise with technology teams in Ireland, the US and/or external vendors as required. Maintain our Knowledge Base and ensure all relevant run books are up to date. Experience 3+ years providing desktop support for software and hardware systems. Development or trading user support experience is beneficial. Excellent working knowledge of Windows desktop OS Win bit. Ability to monitor and diagnose desktop issues. Ability to modify the system registry for configuring the Windows operating system. PowerShell scripting would be an advantage. BSc in a technical discipline or equivalent experience. Experience working with SCCM would be an advantage. Excellent knowledge of MS Office (2003/2010/2016/O365), in particular Excel. Strong knowledge of Active Directory. Strong working knowledge of peripherals, printers, graphics cards. Hardware experience (KVM switches, multiple screens set up 4x 4k screens , ability to replace components such as graphics cards, CPUs, etc.). BSc in a technical discipline or equivalent experience. Personal Skills Initiative - proven record of seeking continuous improvement and implementing best practice in a technology environment. Ability to work under pressure and tight deadlines. Self motivated and creative. Strong communication (verbal and written) - ability to convey technically complex subjects in a clear and concise manner. Attention to detail - thorough in work carried out. Interpersonal - friendly and approachable. Teamwork - working together to meet deadlines. Excellent time management, organization and prioritization skills. Flexibility - all members of the team participate in early morning and out of hours support schedules. Desire to learn and improve skills and knowledge.
Overview At GSK, we are actively working on building a future in which state of the art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat. About the Role To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production grade, data driven software solutions. You will drive the development of scalable cloud infrastructure and efficient compute solutions to support large scale AI models and agentic systems - building robust, high performance software that enables scientific research using modern cloud technologies and the vast biomedical data sources available at GSK. Team Culture The AI4S team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. In this role you will Design and implement scalable infrastructure and software solutions to support large scale AI models and agentic systems across the entire software development life cycle. Design and implement sophisticated machine learning and deep learning pipelines that can handle massive amounts of data with optimal resource utilization. Develop and maintain cloud native architectures that enable seamless deployment and scaling of AI/ML workloads. Deliver robust, tested and high performance code in an agile environment. Liaise with AI/ML engineers, data scientists, and domain experts to ensure fit for purpose infrastructure and data pipelines for cutting edge scientific projects. Qualifications & Skills A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional software engineer. Demonstrated advanced programming expertise in Python and in developing and delivering robust, scalable software solutions. Experience with cloud platforms (AWS, GCP, Azure) and cloud native architectures. Passion for software design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Knowledge of command line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment (CD), containerization, and infrastructure as code. Strong problem solving and debugging skills, and experience working in cluster settings or cloud based environments. Fluency in English. Preferred Qualifications & Skills Familiarity with machine learning principles and state of the art modelling approaches. Experience in design, development and deployment of commercial cloud native software and infrastructure. Experience building and deploying large scale AI models and agentic systems in production environments. Experience architecting, developing, and deploying distributed training pipelines for large models with PyTorch or TensorFlow. Expertise in performance optimization, cost optimization, and efficient compute resource management in cloud environments. Contributions to relevant open source projects. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
10/05/2026
Full time
Overview At GSK, we are actively working on building a future in which state of the art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat. About the Role To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production grade, data driven software solutions. You will drive the development of scalable cloud infrastructure and efficient compute solutions to support large scale AI models and agentic systems - building robust, high performance software that enables scientific research using modern cloud technologies and the vast biomedical data sources available at GSK. Team Culture The AI4S team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. In this role you will Design and implement scalable infrastructure and software solutions to support large scale AI models and agentic systems across the entire software development life cycle. Design and implement sophisticated machine learning and deep learning pipelines that can handle massive amounts of data with optimal resource utilization. Develop and maintain cloud native architectures that enable seamless deployment and scaling of AI/ML workloads. Deliver robust, tested and high performance code in an agile environment. Liaise with AI/ML engineers, data scientists, and domain experts to ensure fit for purpose infrastructure and data pipelines for cutting edge scientific projects. Qualifications & Skills A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional software engineer. Demonstrated advanced programming expertise in Python and in developing and delivering robust, scalable software solutions. Experience with cloud platforms (AWS, GCP, Azure) and cloud native architectures. Passion for software design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Knowledge of command line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment (CD), containerization, and infrastructure as code. Strong problem solving and debugging skills, and experience working in cluster settings or cloud based environments. Fluency in English. Preferred Qualifications & Skills Familiarity with machine learning principles and state of the art modelling approaches. Experience in design, development and deployment of commercial cloud native software and infrastructure. Experience building and deploying large scale AI models and agentic systems in production environments. Experience architecting, developing, and deploying distributed training pipelines for large models with PyTorch or TensorFlow. Expertise in performance optimization, cost optimization, and efficient compute resource management in cloud environments. Contributions to relevant open source projects. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Overview Spacecraft Software Engineer (GNSS) to join our team working at the intersection of satellite payloads, scientific computing, and data delivery systems. You will develop and maintain both the flight and ground software that powers satellite-based GNSS missions, working across system layers-from embedded software to cloud data pipelines-to help ensure the accurate and timely delivery of mission-critical scientific data to our customers. This is a high-impact role where autonomy, creativity, and technical breadth are key. What You'll Do Develop and maintain scientific and command & control software for GNSS-based satellite payloads using a variety of software stacks. Build and operate ground-based automation systems for efficient data extraction, transformation, and delivery from the satellite to end users. Collaborate closely with flight operations to troubleshoot and ensure consistent, high-quality data delivery. Engage with other system engineers, payload developers, and mission operators to continuously evolve the software in support of scientific objectives. Participate in code reviews, testing, and documentation to uphold software reliability and traceability. Who You Are (Required Qualifications) We're looking for someone with at least 5 of the following qualifications: Proficient in at least one of C++ or Python, and capable of picking up new tools and languages as needed. Experience in FPGA development (VHDL or HLS) for signal processing or control systems. Solid background in DSP techniques and theory, especially in the context of RF or GNSS. Familiarity with GNSS signal processing and/or scientific applications such as GNSS-RO, GNSS-R, or PNT algorithms. Skilled in cloud-based systems (e.g., AWS), backend development, and managing data via scalable storage/database solutions. A lifelong learner-curious, adaptable, and open to new challenges outside your immediate expertise. Demonstrates strong work ethics and a focus on impactful contributions to the mission and team. Capable of independently navigating technical challenges and making forward progress without constant direction. Preferred Skills Prior experience working on satellite payloads or in the aerospace domain. Experience building telemetry and data visualization tools. Contribution to open-source scientific or aerospace-related software projects. Work Model and Compliance Spire operates a hybrid work model, and this position requires a minimum of three days per week in the office. Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses. Benefits Name Your Satellite Program (NYSP) Launch Attendance Generous Time Off Policy Education Assistance Program Employee Assistance Program (EAP) Employee Stock Purchase Program (ESPP) Family Leave Fitness Reimbursement Employee Referral Program Healthy snacks & beverages in every office About Spire Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its data and algorithms provide advanced maritime, aviation, and weather tracking. The company also maintains a global ground station network and 24/7 operations that provide real-time global coverage. Spire is global and embraces diverse viewpoints, skills, and experiences. We are an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. To help maintain a safe and secure workplace, all candidates who receive a conditional offer will complete a background check, which may include criminal history and employment verification. Applying from California? Please review the CCPA Applicant Privacy Policy. Applying from the EU? Please review Spire's Privacy Policy.
10/05/2026
Full time
Overview Spacecraft Software Engineer (GNSS) to join our team working at the intersection of satellite payloads, scientific computing, and data delivery systems. You will develop and maintain both the flight and ground software that powers satellite-based GNSS missions, working across system layers-from embedded software to cloud data pipelines-to help ensure the accurate and timely delivery of mission-critical scientific data to our customers. This is a high-impact role where autonomy, creativity, and technical breadth are key. What You'll Do Develop and maintain scientific and command & control software for GNSS-based satellite payloads using a variety of software stacks. Build and operate ground-based automation systems for efficient data extraction, transformation, and delivery from the satellite to end users. Collaborate closely with flight operations to troubleshoot and ensure consistent, high-quality data delivery. Engage with other system engineers, payload developers, and mission operators to continuously evolve the software in support of scientific objectives. Participate in code reviews, testing, and documentation to uphold software reliability and traceability. Who You Are (Required Qualifications) We're looking for someone with at least 5 of the following qualifications: Proficient in at least one of C++ or Python, and capable of picking up new tools and languages as needed. Experience in FPGA development (VHDL or HLS) for signal processing or control systems. Solid background in DSP techniques and theory, especially in the context of RF or GNSS. Familiarity with GNSS signal processing and/or scientific applications such as GNSS-RO, GNSS-R, or PNT algorithms. Skilled in cloud-based systems (e.g., AWS), backend development, and managing data via scalable storage/database solutions. A lifelong learner-curious, adaptable, and open to new challenges outside your immediate expertise. Demonstrates strong work ethics and a focus on impactful contributions to the mission and team. Capable of independently navigating technical challenges and making forward progress without constant direction. Preferred Skills Prior experience working on satellite payloads or in the aerospace domain. Experience building telemetry and data visualization tools. Contribution to open-source scientific or aerospace-related software projects. Work Model and Compliance Spire operates a hybrid work model, and this position requires a minimum of three days per week in the office. Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses. Benefits Name Your Satellite Program (NYSP) Launch Attendance Generous Time Off Policy Education Assistance Program Employee Assistance Program (EAP) Employee Stock Purchase Program (ESPP) Family Leave Fitness Reimbursement Employee Referral Program Healthy snacks & beverages in every office About Spire Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its data and algorithms provide advanced maritime, aviation, and weather tracking. The company also maintains a global ground station network and 24/7 operations that provide real-time global coverage. Spire is global and embraces diverse viewpoints, skills, and experiences. We are an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status. To help maintain a safe and secure workplace, all candidates who receive a conditional offer will complete a background check, which may include criminal history and employment verification. Applying from California? Please review the CCPA Applicant Privacy Policy. Applying from the EU? Please review Spire's Privacy Policy.
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're growing our DevOps team and are looking for skilled and motivated Senior DevOps Engineers to join us at Oxford Ionics. This is an opportunity to shape the future of our quantum computing infrastructure as we scale our cutting edge quantum systems. As part of a newly formed team, you will have a significant impact on how we commission, deploy, and operate quantum systems. You'll work to enhance system commissioning, implement comprehensive observability across distributed systems, and build deployment pipelines that work in both connected and air gapped environments. This is an exciting opportunity to work alongside scientists, engineers, and technicians building the world's most advanced quantum computers. See vacuum chambers, cryostats, superconducting magnets, and precision lasers in action at our on site laboratories. What makes this role unique Infrastructure for quantum computers - a cutting edge domain with unique challenges Mix of cloud connected and isolated/air gapped deployments Direct impact on scientific research and commercial quantum computing What you'll be responsible for As a Senior DevOps Engineer, you'll collaborate closely with our software, IT, systems, and science teams to build and maintain the infrastructure that powers our quantum computers. Your responsibilities will fall into four main areas: Infrastructure & System Commissioning Automate the provisioning and configuration of quantum system infrastructure Implement infrastructure as code using tools like Terraform, Packer, and configuration management (Ansible) Build and maintain immutable VM images and containerised services Manage deployments to both networked and air gapped/isolated environments CI/CD & Release Management Maintain and improve GitHub Actions CI/CD pipelines running on self hosted runners Implement artifact management and versioning strategies (CalVer/SemVer) Enable nightly automated deployments with health checks and automatic rollback Optimise build times and caching for Rust and Python codebases Observability & Monitoring Deploy and configure OpenTelemetry collectors across all quantum systems Integrate with centralised observability platform (Grafana stack: Loki, Mimir, Tempo) Maintain local Grafana instances as backup for isolated systems Implement drift detection and configuration compliance monitoring Create dashboards and alerts for system health, quantum hardware metrics, and experiment execution Platform Evolution Help design and create a hybrid cloud / on premise platform architecture for managing quantum systems Enable the migration of existing workloads to container orchestration Further secure credential management and authentication You'll take ownership of critical infrastructure components including Artifact Management, self hosted GitHub Actions runners, OpenTelemetry collectors, and work closely with IonQ's infrastructure team to leverage shared services and best practices. Requirements To be successful, you will need previous DevOps/SRE experience and a background in managing and scaling complex infrastructure environments is essential for success in this role. You will bring technical depth, problem solving ability, and the ability to work as part of a team to manage critical systems supporting cutting edge research. We are looking for someone with strong expertise in administrating and maintaining Linux based systems (Ubuntu preferred). You will also have proven experience with configuration management and infrastructure as code tools such as Ansible or Terraform, as well as strong programming and scripting ability, ideally in Python and shell scripting. A sound understanding of security principles and best practices is essential, particularly around credential management, observability, and compliance. You should be proactive and detail oriented with strong communication skills, as you'll often bridge the gap between software engineering, IT infrastructure, and research teams. You'll be a great fit with: Experience with container technologies (Docker/Podman) and an understanding of orchestration (Kubernetes, Nomad). Familiarity with Git workflows and CI/CD systems (GitHub Actions or similar). Experience with observability and monitoring systems (e.g. Grafana, Prometheus, OpenTelemetry). Understanding of artifact and package management for software deployments. It would be beneficial if you have additional experience with any of the following: Rust build systems, deploying air gapped or isolated network environments, immutable infrastructure patterns. A background with hardware integration or embedded systems would also be a plus. Prior experience in quantum computing is not required - we'll teach you about the unique aspects of quantum infrastructure. 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.
09/05/2026
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're growing our DevOps team and are looking for skilled and motivated Senior DevOps Engineers to join us at Oxford Ionics. This is an opportunity to shape the future of our quantum computing infrastructure as we scale our cutting edge quantum systems. As part of a newly formed team, you will have a significant impact on how we commission, deploy, and operate quantum systems. You'll work to enhance system commissioning, implement comprehensive observability across distributed systems, and build deployment pipelines that work in both connected and air gapped environments. This is an exciting opportunity to work alongside scientists, engineers, and technicians building the world's most advanced quantum computers. See vacuum chambers, cryostats, superconducting magnets, and precision lasers in action at our on site laboratories. What makes this role unique Infrastructure for quantum computers - a cutting edge domain with unique challenges Mix of cloud connected and isolated/air gapped deployments Direct impact on scientific research and commercial quantum computing What you'll be responsible for As a Senior DevOps Engineer, you'll collaborate closely with our software, IT, systems, and science teams to build and maintain the infrastructure that powers our quantum computers. Your responsibilities will fall into four main areas: Infrastructure & System Commissioning Automate the provisioning and configuration of quantum system infrastructure Implement infrastructure as code using tools like Terraform, Packer, and configuration management (Ansible) Build and maintain immutable VM images and containerised services Manage deployments to both networked and air gapped/isolated environments CI/CD & Release Management Maintain and improve GitHub Actions CI/CD pipelines running on self hosted runners Implement artifact management and versioning strategies (CalVer/SemVer) Enable nightly automated deployments with health checks and automatic rollback Optimise build times and caching for Rust and Python codebases Observability & Monitoring Deploy and configure OpenTelemetry collectors across all quantum systems Integrate with centralised observability platform (Grafana stack: Loki, Mimir, Tempo) Maintain local Grafana instances as backup for isolated systems Implement drift detection and configuration compliance monitoring Create dashboards and alerts for system health, quantum hardware metrics, and experiment execution Platform Evolution Help design and create a hybrid cloud / on premise platform architecture for managing quantum systems Enable the migration of existing workloads to container orchestration Further secure credential management and authentication You'll take ownership of critical infrastructure components including Artifact Management, self hosted GitHub Actions runners, OpenTelemetry collectors, and work closely with IonQ's infrastructure team to leverage shared services and best practices. Requirements To be successful, you will need previous DevOps/SRE experience and a background in managing and scaling complex infrastructure environments is essential for success in this role. You will bring technical depth, problem solving ability, and the ability to work as part of a team to manage critical systems supporting cutting edge research. We are looking for someone with strong expertise in administrating and maintaining Linux based systems (Ubuntu preferred). You will also have proven experience with configuration management and infrastructure as code tools such as Ansible or Terraform, as well as strong programming and scripting ability, ideally in Python and shell scripting. A sound understanding of security principles and best practices is essential, particularly around credential management, observability, and compliance. You should be proactive and detail oriented with strong communication skills, as you'll often bridge the gap between software engineering, IT infrastructure, and research teams. You'll be a great fit with: Experience with container technologies (Docker/Podman) and an understanding of orchestration (Kubernetes, Nomad). Familiarity with Git workflows and CI/CD systems (GitHub Actions or similar). Experience with observability and monitoring systems (e.g. Grafana, Prometheus, OpenTelemetry). Understanding of artifact and package management for software deployments. It would be beneficial if you have additional experience with any of the following: Rust build systems, deploying air gapped or isolated network environments, immutable infrastructure patterns. A background with hardware integration or embedded systems would also be a plus. Prior experience in quantum computing is not required - we'll teach you about the unique aspects of quantum infrastructure. 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.
CuspAI is seeking a Scientific Software Engineer (Polymer Simulations) to develop atomistic simulation capabilities that bridge AI models and real-world materials challenges. This role involves designing workflows, collaborating with experimental partners, and integrating machine learning techniques. Ideal candidates should have extensive polymer simulation expertise, strong software engineering skills in Python, and the ability to produce meaningful experiments. The role offers a competitive salary, equity, and the chance to work with leading researchers in a diverse environment.
09/05/2026
Full time
CuspAI is seeking a Scientific Software Engineer (Polymer Simulations) to develop atomistic simulation capabilities that bridge AI models and real-world materials challenges. This role involves designing workflows, collaborating with experimental partners, and integrating machine learning techniques. Ideal candidates should have extensive polymer simulation expertise, strong software engineering skills in Python, and the ability to produce meaningful experiments. The role offers a competitive salary, equity, and the chance to work with leading researchers in a diverse environment.
A technology company in Sheffield is seeking an early career engineer for a full-time position focused on embedded systems innovation. This role involves developing control systems for precision scientific instruments, requiring a PhD in a related field and expertise in firmware development using C/C++. The successful candidate will work in a collaborative team to enhance hardware-software integration. A competitive salary between £40,000 to £48,000 is offered, with applications open until 9 March 2026.
09/05/2026
Full time
A technology company in Sheffield is seeking an early career engineer for a full-time position focused on embedded systems innovation. This role involves developing control systems for precision scientific instruments, requiring a PhD in a related field and expertise in firmware development using C/C++. The successful candidate will work in a collaborative team to enhance hardware-software integration. A competitive salary between £40,000 to £48,000 is offered, with applications open until 9 March 2026.
Organisation/Company DURHAM UNIVERSITY Research Field Architecture Engineering Physics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 4 Jun 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Role and Department This role is for a Research Software Engineer within a High Performance Computing team in the Department of Physics, who will perform activities such as improving the performance of existing codes on large systems, implementing more efficient algorithms, and liaising with researchers to identify their requirements. The research areas for these codes are likely to be in the fields of cosmology, astrophysics, particle physics and nuclear physics. The Department of Physics at Durham University is one of the leading UK Physics departments with an outstanding reputation for excellence in teaching, research and employability of our students. The Department is committed to advancing equality and we aim to ensure that our culture is inclusive, and that our systems support flexible and family-friendly working, as recognized by our Juno Champion and Athena SWAN Silver awards. We recognise and value the benefits of diversity throughout our staff and students. The Institute for Computational Cosmology (ICC) within the Department of Physics performs world leading research with a high international reputation and is one of the largest groups in Europe dedicated to theoretical cosmology. The ICC operates and maintains a high performance computing (HPC) facility, COSMA, on behalf of DiRAC ( ), a UK national facility. This service constitutes the largest academic system in the North of England and is designed to support scientific workflows which require large RAM volumes, for example cosmological simulation. This role will be engaged with providing Research Software Engineering support for DiRAC and the ICC. Key tasks will be the improvement and development of major scientific codes, and the investigation of code performance on DiRAC services. The applicant will work with leading scientific teams to perform tasks such as code optimisation, porting to different computational architectures (which may include GPUs), and analysis of performance benchmarks. The applicant will have access to cutting edge HPC research facilities including new and novel hardware. The applicant will also be engaged with performance benchmarking on prototype hardware to aid and guide future purchasing decisions, having a real impact on the direction of future UK HPC provision. The applicant should have a good understanding and working knowledge of C/C++ and Python. Some knowledge of Fortran would be helpful. The applicant will be using parallel scientific codes which run on multiple servers simultaneously, using middleware such as MPI. These codes will be focused on subject areas within the STFC remit, namely cosmology, particle physics and nuclear physics and the applicant will be able to work with scientists and other RSEs from across the UK.
09/05/2026
Full time
Organisation/Company DURHAM UNIVERSITY Research Field Architecture Engineering Physics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 4 Jun 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Role and Department This role is for a Research Software Engineer within a High Performance Computing team in the Department of Physics, who will perform activities such as improving the performance of existing codes on large systems, implementing more efficient algorithms, and liaising with researchers to identify their requirements. The research areas for these codes are likely to be in the fields of cosmology, astrophysics, particle physics and nuclear physics. The Department of Physics at Durham University is one of the leading UK Physics departments with an outstanding reputation for excellence in teaching, research and employability of our students. The Department is committed to advancing equality and we aim to ensure that our culture is inclusive, and that our systems support flexible and family-friendly working, as recognized by our Juno Champion and Athena SWAN Silver awards. We recognise and value the benefits of diversity throughout our staff and students. The Institute for Computational Cosmology (ICC) within the Department of Physics performs world leading research with a high international reputation and is one of the largest groups in Europe dedicated to theoretical cosmology. The ICC operates and maintains a high performance computing (HPC) facility, COSMA, on behalf of DiRAC ( ), a UK national facility. This service constitutes the largest academic system in the North of England and is designed to support scientific workflows which require large RAM volumes, for example cosmological simulation. This role will be engaged with providing Research Software Engineering support for DiRAC and the ICC. Key tasks will be the improvement and development of major scientific codes, and the investigation of code performance on DiRAC services. The applicant will work with leading scientific teams to perform tasks such as code optimisation, porting to different computational architectures (which may include GPUs), and analysis of performance benchmarks. The applicant will have access to cutting edge HPC research facilities including new and novel hardware. The applicant will also be engaged with performance benchmarking on prototype hardware to aid and guide future purchasing decisions, having a real impact on the direction of future UK HPC provision. The applicant should have a good understanding and working knowledge of C/C++ and Python. Some knowledge of Fortran would be helpful. The applicant will be using parallel scientific codes which run on multiple servers simultaneously, using middleware such as MPI. These codes will be focused on subject areas within the STFC remit, namely cosmology, particle physics and nuclear physics and the applicant will be able to work with scientists and other RSEs from across the UK.