Senior AI/ML Engineer (LLM's / RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office.- Must have deep experience in LLM development and deployment. Your new company You'll be joining a fast-growth, highly respected software engineering business that applies advanced modelling, data science, and machine learning to solve complex, real-world problems at scale.Their technology underpins critical decision-making in high-value environments, combining deep domain expertise with modern engineering practices. With a strong track record of success and a growing international footprint, the company is investing heavily in AI as a core pillar of its future.You will be working full-time in their head office location in the heart of Guildford close to the University and with excellent transport to London and the surrounding areas in Surrey. Your new role The key to this role is hands-on experience designing, building, and deploying LLM-based applications into production environments.We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role, nor is it a pure coding role - it sits in between the two disciplines as part of a newly formed team within an R&D department helping to instil best practice.You'll have the opportunity to influence how AI capability is embedded into a well-established product suite, balancing greenfield innovation with enhancing existing platforms. Working across structured, unstructured and streaming data, you'll contribute to modern AI approaches and help shape how data drives product capability.It's a well-established business with decades of experience taking them a market leading position. Building on an impressive 2024 they pushed towards 100 headcount and have the investment and product positioning to double this in the coming 12 months, with a particular focus on the Engineering team. Given this imminent growth there are leadership opportunities to aspire to down the line.It's genuinely challenging applied AI in a complex domain. If you're motivated by seeing your work have tangible impact in production, this is an opportunity to operate at a level most roles don't offer. What you'll need to succeed This role requires existing Senior level experience in AI/ML roles, 3+ years working hands-on experience designing, building, and deploying LLM-based applications into production environments, not just experimentation.You must have proven experience working with C++/C# (ideally integrating ML features into C++ applications), and at least one high-level scientific language (e.g., Python, Julia) working at the interface of research and software development.You will possess strong technical leadership skills and will be motivated to drive engineering best practices and standards.You must have an advanced Degree in a STEM/Computing discipline and ideally a background in scientific computing, time-series data, or complex data environments. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including an annual bonus up to 25%, 10% pension match, private healthcare, 25 days holiday and long term sick cover. There is parking on site or a shuttle bus for train commuters to Guildford and a modern office space with excellent amenities. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Senior Business Director on .At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
11/06/2026
Full time
Senior AI/ML Engineer (LLM's / RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office.- Must have deep experience in LLM development and deployment. Your new company You'll be joining a fast-growth, highly respected software engineering business that applies advanced modelling, data science, and machine learning to solve complex, real-world problems at scale.Their technology underpins critical decision-making in high-value environments, combining deep domain expertise with modern engineering practices. With a strong track record of success and a growing international footprint, the company is investing heavily in AI as a core pillar of its future.You will be working full-time in their head office location in the heart of Guildford close to the University and with excellent transport to London and the surrounding areas in Surrey. Your new role The key to this role is hands-on experience designing, building, and deploying LLM-based applications into production environments.We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role, nor is it a pure coding role - it sits in between the two disciplines as part of a newly formed team within an R&D department helping to instil best practice.You'll have the opportunity to influence how AI capability is embedded into a well-established product suite, balancing greenfield innovation with enhancing existing platforms. Working across structured, unstructured and streaming data, you'll contribute to modern AI approaches and help shape how data drives product capability.It's a well-established business with decades of experience taking them a market leading position. Building on an impressive 2024 they pushed towards 100 headcount and have the investment and product positioning to double this in the coming 12 months, with a particular focus on the Engineering team. Given this imminent growth there are leadership opportunities to aspire to down the line.It's genuinely challenging applied AI in a complex domain. If you're motivated by seeing your work have tangible impact in production, this is an opportunity to operate at a level most roles don't offer. What you'll need to succeed This role requires existing Senior level experience in AI/ML roles, 3+ years working hands-on experience designing, building, and deploying LLM-based applications into production environments, not just experimentation.You must have proven experience working with C++/C# (ideally integrating ML features into C++ applications), and at least one high-level scientific language (e.g., Python, Julia) working at the interface of research and software development.You will possess strong technical leadership skills and will be motivated to drive engineering best practices and standards.You must have an advanced Degree in a STEM/Computing discipline and ideally a background in scientific computing, time-series data, or complex data environments. What you'll get in return You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including an annual bonus up to 25%, 10% pension match, private healthcare, 25 days holiday and long term sick cover. There is parking on site or a shuttle bus for train commuters to Guildford and a modern office space with excellent amenities. What you need to do now To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Senior Business Director on .At Hays Technology, we are shaping the future of recruitment. The rapid adoption of cloud, which is making customer interfaces more engaging and creating a seamless engagement with businesses, means that from the foundation of your organisation up, software developers are critical to success. As the competition for talent grows, we're ready and waiting to help developers really make an impact on organisations, so talk to us today. We are Hays Technology. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Company Ion recruitment Location Surrey, UK (Office based) Overview A global software company is evolving its core engineering platforms by embedding machine learning and applied AI into high performance simulation and modelling tools used worldwide. This is a hands on applied AI role - focused on building and deploying ML solutions inside production grade engineering systems, not isolated research or experimental prototypes. Responsibilities Create, deploy, and maintain machine learning models in production engineering software systems. Own the full ML pipeline: data preparation, feature engineering, training, evaluation, and optimisation. Translate complex scientific/engineering problems into ML driven solutions. Improve model performance in compute intensive environments. Write clean, testable, maintainable production code. Integrate ML services via APIs and software components. Collaborate with engineers and domain specialists on real world systems. Required Experience and Skills Strong Python programming and software engineering fundamentals. Proven experience applying machine learning to real world datasets and problems. Understanding of model trade offs, performance, and production constraints. Experience working with complex or imperfect data. Ability to write efficient, scalable, production quality code. Senior level (5+ years of experience). Desired Experience PyTorch, TensorFlow, or similar ML frameworks. Scientific computing, numerical methods, optimisation. GPU acceleration or high performance computing. MLOps, model deployment, APIs, or production pipelines. Benefits Focus on applied AI in real engineering systems. Work on technically challenging, high impact problems. Close collaboration with experienced engineers and domain experts. Influence how AI is embedded into core global software products. Long term technical depth, not short cycle ML experimentation.
09/06/2026
Full time
Company Ion recruitment Location Surrey, UK (Office based) Overview A global software company is evolving its core engineering platforms by embedding machine learning and applied AI into high performance simulation and modelling tools used worldwide. This is a hands on applied AI role - focused on building and deploying ML solutions inside production grade engineering systems, not isolated research or experimental prototypes. Responsibilities Create, deploy, and maintain machine learning models in production engineering software systems. Own the full ML pipeline: data preparation, feature engineering, training, evaluation, and optimisation. Translate complex scientific/engineering problems into ML driven solutions. Improve model performance in compute intensive environments. Write clean, testable, maintainable production code. Integrate ML services via APIs and software components. Collaborate with engineers and domain specialists on real world systems. Required Experience and Skills Strong Python programming and software engineering fundamentals. Proven experience applying machine learning to real world datasets and problems. Understanding of model trade offs, performance, and production constraints. Experience working with complex or imperfect data. Ability to write efficient, scalable, production quality code. Senior level (5+ years of experience). Desired Experience PyTorch, TensorFlow, or similar ML frameworks. Scientific computing, numerical methods, optimisation. GPU acceleration or high performance computing. MLOps, model deployment, APIs, or production pipelines. Benefits Focus on applied AI in real engineering systems. Work on technically challenging, high impact problems. Close collaboration with experienced engineers and domain experts. Influence how AI is embedded into core global software products. Long term technical depth, not short cycle ML experimentation.
Overview CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . We're proud to be a Living Wage accredited Employer. What You'll Do The Monolith Data Science team is building a layered reliability platform that shifts CoreWeave from reactive troubleshooting to proactive reliability engineering. The platform spans telemetry ingestion, feature engineering, anomaly detection, failure prediction, distributed straggler detection, and agentic root cause analysis. We partner closely with Fleet, Infrastructure, and AI Platform teams to improve cluster reliability, increase effective utilization (MFU), reduce MTTR, and protect uptime and revenue. About the role As a Data Science Researcher, you will develop advanced statistical models and machine learning methodologies to optimize GPU utilization, workload scheduling, and infrastructure efficiency. You will design experiments, analyze large-scale system telemetry data, and prototype predictive and optimization algorithms that directly inform production systems. This role blends research rigor with real-world impact, turning complex infrastructure data into measurable improvements in performance and cost. You will collaborate cross-functionally to translate research insights into deployable solutions. Who You Are MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field 8+ years (or equivalent research experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing) Experience working with distributed data systems (Spark, Ray, Dask, or similar) Proficiency in SQL and working with large-scale structured datasets Experience building and validating predictive models in production or research environments Strong understanding of optimization techniques (linear programming, convex optimization, stochastic optimization, or reinforcement learning) Experience working with time-series data and performance telemetry Ability to translate research findings into production-ready prototypes Preferred PhD with published research in systems optimization, distributed computing, ML systems, or performance modeling Experience with GPU workloads, distributed training, or AI infrastructure Familiarity with Kubernetes, containerized workloads, or cloud-native systems Experience developing reinforcement learning or adaptive scheduling systems Background in capacity planning, forecasting, or resource allocation modeling Contributions to open-source ML or systems projects Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love uncovering hidden failure patterns in massive, noisy infrastructure datasets You're curious about building autonomous, agentic systems that investigate and explain system behavior You're an expert in reinforcement learning, predictive modeling, or large-scale data analysis Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! Compliance and Privacy To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results. What We Offer In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Family-level Medical Insurance Family-level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption Benefits may vary by location. Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Export Control Compliance: This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be a U.S. person or eligible to access without a required export authorization.
08/06/2026
Full time
Overview CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . We're proud to be a Living Wage accredited Employer. What You'll Do The Monolith Data Science team is building a layered reliability platform that shifts CoreWeave from reactive troubleshooting to proactive reliability engineering. The platform spans telemetry ingestion, feature engineering, anomaly detection, failure prediction, distributed straggler detection, and agentic root cause analysis. We partner closely with Fleet, Infrastructure, and AI Platform teams to improve cluster reliability, increase effective utilization (MFU), reduce MTTR, and protect uptime and revenue. About the role As a Data Science Researcher, you will develop advanced statistical models and machine learning methodologies to optimize GPU utilization, workload scheduling, and infrastructure efficiency. You will design experiments, analyze large-scale system telemetry data, and prototype predictive and optimization algorithms that directly inform production systems. This role blends research rigor with real-world impact, turning complex infrastructure data into measurable improvements in performance and cost. You will collaborate cross-functionally to translate research insights into deployable solutions. Who You Are MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field 8+ years (or equivalent research experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing) Experience working with distributed data systems (Spark, Ray, Dask, or similar) Proficiency in SQL and working with large-scale structured datasets Experience building and validating predictive models in production or research environments Strong understanding of optimization techniques (linear programming, convex optimization, stochastic optimization, or reinforcement learning) Experience working with time-series data and performance telemetry Ability to translate research findings into production-ready prototypes Preferred PhD with published research in systems optimization, distributed computing, ML systems, or performance modeling Experience with GPU workloads, distributed training, or AI infrastructure Familiarity with Kubernetes, containerized workloads, or cloud-native systems Experience developing reinforcement learning or adaptive scheduling systems Background in capacity planning, forecasting, or resource allocation modeling Contributions to open-source ML or systems projects Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love uncovering hidden failure patterns in massive, noisy infrastructure datasets You're curious about building autonomous, agentic systems that investigate and explain system behavior You're an expert in reinforcement learning, predictive modeling, or large-scale data analysis Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! Compliance and Privacy To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results. What We Offer In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Family-level Medical Insurance Family-level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption Benefits may vary by location. Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Export Control Compliance: This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be a U.S. person or eligible to access without a required export authorization.
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.
07/06/2026
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.
About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity This is a unique opportunity for a data scientist to work on multi-omics data to drive transformative insights into drug discovery. As a member of the Cross Indication team, you will contribute to identifying and validating drug targets through advanced data analysis and innovative computational approaches. The Cross Indication team collaborates across both Relations internal and partnership programmes, applying state-of-the-art computational methods to integrate diverse datasets. By combining biological insights with advanced data analytics, the team drives target discovery and validation initiative. Day to day, you will Develop and implement robust computational workflows for the integration and analysis of multi-omics datasets, including single-cell and/or spatial modalities. Design and apply statistical and computational models for analysing transcriptomics and related omics data. Use biological insight and data intuition to design meaningful, challenging evaluation tasks for ML models. Collaborate closely with ML researchers to inform and iterate on model architectures and assumptions. Partner with experimental scientists to help formulate, test, and validate computational hypotheses. Communicate findings clearly through internal presentations and contribute to scientific publications. Professionally, you will have A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative discipline. Strong experience analysing high-dimensional biological data, including transcriptomics and other omics datasets. Proficiency in Python, with experience working in high-performance or cloud computing environments. Bonus experience Experience with single-cell and/or spatial omics data, including patient-derived datasets. Familiarity with machine-learning approaches applied to biological data. A solid grounding in statistical modelling, algorithm development, or data integration methods. Experience working effectively within highly interdisciplinary teams spanning biology, ML, and software engineering. Personally, you Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.
06/06/2026
Full time
About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity This is a unique opportunity for a data scientist to work on multi-omics data to drive transformative insights into drug discovery. As a member of the Cross Indication team, you will contribute to identifying and validating drug targets through advanced data analysis and innovative computational approaches. The Cross Indication team collaborates across both Relations internal and partnership programmes, applying state-of-the-art computational methods to integrate diverse datasets. By combining biological insights with advanced data analytics, the team drives target discovery and validation initiative. Day to day, you will Develop and implement robust computational workflows for the integration and analysis of multi-omics datasets, including single-cell and/or spatial modalities. Design and apply statistical and computational models for analysing transcriptomics and related omics data. Use biological insight and data intuition to design meaningful, challenging evaluation tasks for ML models. Collaborate closely with ML researchers to inform and iterate on model architectures and assumptions. Partner with experimental scientists to help formulate, test, and validate computational hypotheses. Communicate findings clearly through internal presentations and contribute to scientific publications. Professionally, you will have A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative discipline. Strong experience analysing high-dimensional biological data, including transcriptomics and other omics datasets. Proficiency in Python, with experience working in high-performance or cloud computing environments. Bonus experience Experience with single-cell and/or spatial omics data, including patient-derived datasets. Familiarity with machine-learning approaches applied to biological data. A solid grounding in statistical modelling, algorithm development, or data integration methods. Experience working effectively within highly interdisciplinary teams spanning biology, ML, and software engineering. Personally, you Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.
About us At Wave Photonics, we are building a platform to enable and accelerate the development, mass production and adoption of integrated photonics technologies. Integrated photonics will be crucial in enabling a host of applications ranging from energy efficient communications, wearable healthcare sensors, rapid diagnostic tools, optical tensor processors, on chip LiDAR, quantum computing and communication, and many more. We believe that many obstacles in developing these technologies can be removed using a combination of simulation, statistical modelling and optimisation techniques. Founded in 2021, we have backing from great investors in Silicon Valley, the UK, and the EU, and are contributing to multiple projects funded by the UK's innovation agency, Innovate UK. We were also successful in winning a prestigious European Innovation Council Accelerator project to develop solutions for frontier applications of integrated photonics. Role overview This is an exciting opportunity to design, develop, test and maintain high performance, numerical software applications at Wave Photonics. In this role, you will be responsible for developing and maintaining the internal tools for physical simulations of light propagation (FDTD) and dealing with large data sets. You will play a crucial role in optimising how Wave Photonics' library of components is designed and created. The ideal candidate will have strong expertise in design and implementation of fast numerical codes of physical phenomena. You will write clean, efficient, optimised and scalable code drawing on past experiences and software development best practices. You will have a say in product development and translate business objectives and product designs into high quality products delivered in a timely manner. You will be attentive to detail, enthusiastic to tackle problems and develop innovative high performing solutions. You will bring a willingness and desire to learn, grow and stay on top of the latest technologies. This role would involve collaborating with photonics engineers and other stakeholders to define and deliver high quality products that support the organisation's mission to unlock the potential of integrated photonics. You will have good communication skills and the ability to work with other teams. You will be a core member of our small but growing team, contributing to key deliverables and milestones that drive our product development. You will be immersed in the fast paced environment of a start up that has ambitions to change the integrated photonics industry. We value enthusiastic people who bring a willingness to learn new things and challenge existing ideas. Essential Practical experience in writing, developing, and maintaining physical simulation software. Experience in numerical discretisation of partial differential equations using FDTD, FEM or FVM. Strong background in statistics, probability, and Uncertainty Quantification (UQ). Experience with Julia or Python. Experience using low level programming languages (e.g. C/C++, Fortran, Rust) Practical experience with writing high performance numerical code. Proficient in data structures and algorithms. Nice to have/ Beneficial Interest and experience in machine learning applied to physical simulations. Experience in working in HPC environment. Practical experience implementing Monte Carlo simulations and Bayesian optimisation. Experience with Polynomial Chaos Expansion (PCE) or similar advanced mathematical modelling techniques. Practical experience applying Machine Learning techniques to scientific, engineering, or physical problems. Salary and compensation £50k - £60k pa., depending on experience. Company share options plan. Enhanced annual leave (25 days + bank holidays). In person working with flexible working options available where possible. Equity, diversity, and inclusion are vital to our mission, and we strongly encourage people of all backgrounds and identities to apply.
04/06/2026
Full time
About us At Wave Photonics, we are building a platform to enable and accelerate the development, mass production and adoption of integrated photonics technologies. Integrated photonics will be crucial in enabling a host of applications ranging from energy efficient communications, wearable healthcare sensors, rapid diagnostic tools, optical tensor processors, on chip LiDAR, quantum computing and communication, and many more. We believe that many obstacles in developing these technologies can be removed using a combination of simulation, statistical modelling and optimisation techniques. Founded in 2021, we have backing from great investors in Silicon Valley, the UK, and the EU, and are contributing to multiple projects funded by the UK's innovation agency, Innovate UK. We were also successful in winning a prestigious European Innovation Council Accelerator project to develop solutions for frontier applications of integrated photonics. Role overview This is an exciting opportunity to design, develop, test and maintain high performance, numerical software applications at Wave Photonics. In this role, you will be responsible for developing and maintaining the internal tools for physical simulations of light propagation (FDTD) and dealing with large data sets. You will play a crucial role in optimising how Wave Photonics' library of components is designed and created. The ideal candidate will have strong expertise in design and implementation of fast numerical codes of physical phenomena. You will write clean, efficient, optimised and scalable code drawing on past experiences and software development best practices. You will have a say in product development and translate business objectives and product designs into high quality products delivered in a timely manner. You will be attentive to detail, enthusiastic to tackle problems and develop innovative high performing solutions. You will bring a willingness and desire to learn, grow and stay on top of the latest technologies. This role would involve collaborating with photonics engineers and other stakeholders to define and deliver high quality products that support the organisation's mission to unlock the potential of integrated photonics. You will have good communication skills and the ability to work with other teams. You will be a core member of our small but growing team, contributing to key deliverables and milestones that drive our product development. You will be immersed in the fast paced environment of a start up that has ambitions to change the integrated photonics industry. We value enthusiastic people who bring a willingness to learn new things and challenge existing ideas. Essential Practical experience in writing, developing, and maintaining physical simulation software. Experience in numerical discretisation of partial differential equations using FDTD, FEM or FVM. Strong background in statistics, probability, and Uncertainty Quantification (UQ). Experience with Julia or Python. Experience using low level programming languages (e.g. C/C++, Fortran, Rust) Practical experience with writing high performance numerical code. Proficient in data structures and algorithms. Nice to have/ Beneficial Interest and experience in machine learning applied to physical simulations. Experience in working in HPC environment. Practical experience implementing Monte Carlo simulations and Bayesian optimisation. Experience with Polynomial Chaos Expansion (PCE) or similar advanced mathematical modelling techniques. Practical experience applying Machine Learning techniques to scientific, engineering, or physical problems. Salary and compensation £50k - £60k pa., depending on experience. Company share options plan. Enhanced annual leave (25 days + bank holidays). In person working with flexible working options available where possible. Equity, diversity, and inclusion are vital to our mission, and we strongly encourage people of all backgrounds and identities to apply.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
03/06/2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
31/05/2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Machine Learning Software Engineer, Research London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute. Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Own Research work-streams at different levels, depending on seniority. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Work at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and products. Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor. What you bring to the table Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. Ability to work autonomously and scope and effectively deliver projects across a variety of domains. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: Scientific computing High-performance computing (CPU / GPU clusters) Parallelised / distributed training for large / foundation models Ideally >2 years of experience in a data-driven role in a professional setting, with exposure to: Scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus) Distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton) Cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications C/C++ for computer vision, geometry processing, or scientific computing Software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Container-isation and orchestration (Docker, Kubernetes, Slurm) Writing pipelines and experiment environments, including running experiments in pipelines in a systematic way What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
27/05/2026
Full time
Machine Learning Software Engineer, Research London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute. Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Own Research work-streams at different levels, depending on seniority. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Work at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and products. Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor. What you bring to the table Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. Ability to work autonomously and scope and effectively deliver projects across a variety of domains. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: Scientific computing High-performance computing (CPU / GPU clusters) Parallelised / distributed training for large / foundation models Ideally >2 years of experience in a data-driven role in a professional setting, with exposure to: Scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus) Distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton) Cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications C/C++ for computer vision, geometry processing, or scientific computing Software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Container-isation and orchestration (Docker, Kubernetes, Slurm) Writing pipelines and experiment environments, including running experiments in pipelines in a systematic way What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
Staff Machine Learning Software Engineer, Research London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals. What you will do Shape Research group strategy and culture in a significant way, especially in domains of expertise. Be opinionated and formulate strategy on engineering topics relevant to our Research priorities, especially on: scaled engineering, securing compute, infrastructure stack. Define necessary profiles to execute this strategy. Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment. Nurture younger colleagues to grow their skillset and guide their professional development. Own Research work-streams at a high-level to deliver outcomes. Align priorities with problem stakeholders, internal and external. Set the technical direction for the stream and apply judgement and taste to drive progress. Plan roadmaps with clear milestones for key decisions and outcomes. Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap. Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment. The below activities in particular. Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute. Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Work at the intersection of data science and software engineering to translate the results of our Research into re usable libraries, tooling and products. Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor. What you bring to the table Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. Ability to work autonomously and scope and effectively deliver projects across a variety of domains. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: scientific computing; high-performance computing (CPU / GPU clusters); parallelised / distributed training for large / foundation models. 4 years of experience in a professional industry setting, where you have been instrumental in most of the below: scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); employing distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); employing cloud computing (on hyper scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; building or using C/C++ for computer vision, geometry processing, or scientific computing; following and promoting software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); container ising and orchestrating compute tasks (Docker, Kubernetes, Slurm); writing pipelines and experiment environments, including running experiments in pipelines in a systematic way. What we offer Build what actually matters Help shape an AI native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win- wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work from home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
27/05/2026
Full time
Staff Machine Learning Software Engineer, Research London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals. What you will do Shape Research group strategy and culture in a significant way, especially in domains of expertise. Be opinionated and formulate strategy on engineering topics relevant to our Research priorities, especially on: scaled engineering, securing compute, infrastructure stack. Define necessary profiles to execute this strategy. Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment. Nurture younger colleagues to grow their skillset and guide their professional development. Own Research work-streams at a high-level to deliver outcomes. Align priorities with problem stakeholders, internal and external. Set the technical direction for the stream and apply judgement and taste to drive progress. Plan roadmaps with clear milestones for key decisions and outcomes. Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap. Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment. The below activities in particular. Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute. Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems. Work at the intersection of data science and software engineering to translate the results of our Research into re usable libraries, tooling and products. Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor. What you bring to the table Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering. Ability to work autonomously and scope and effectively deliver projects across a variety of domains. Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: scientific computing; high-performance computing (CPU / GPU clusters); parallelised / distributed training for large / foundation models. 4 years of experience in a professional industry setting, where you have been instrumental in most of the below: scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); employing distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); employing cloud computing (on hyper scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; building or using C/C++ for computer vision, geometry processing, or scientific computing; following and promoting software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); container ising and orchestrating compute tasks (Docker, Kubernetes, Slurm); writing pipelines and experiment environments, including running experiments in pipelines in a systematic way. What we offer Build what actually matters Help shape an AI native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win- wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work from home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there Equity options - share meaningfully in the company you're helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.
The Role Hybrid Intelligence, a Capgemini Engineering team, is looking for an experienced data engineer with a background in science, mathematics or engineering to join us. You will have the opportunity to use a range of skills to create, develop and deliver solutions that truly make a difference in the world. You will help our clients solve a variety of science and engineering problems. Projects can span a range of activities and your responsibilities will include: Combining domain knowledge and technical skills to understand and solve the complex challenges facing our clients. Designing and developing custom software solutions to solve complex scientific and engineering problems Building strong relationships, communicating and collaborating with clients and colleagues. Our projects are exciting and rewarding and provide plenty of opportunities to learn and develop. They can be based either on client sites or in our offices, so you will be expected to undertake regular travel, usually no more than one hour from your base office. You will be assigned to projects based on your existing skills and experience, but you will also learn new domains and technologies and apply innovative thinking and transferable skills to solve new challenges. Requirements BSc, MSc or PhD in science, mathematics or engineering. This is important in order to speak the same language as our clients and understand their industry-related challenges. A background or experience purely in finance, economics, marketing, business intelligence, etc is NOT particularly relevant to this role. Several years of proven industrial experience in data engineering in a scientific or engineering environment. Proven experience in ETL/ELT practices and data schema development to prepare scientific data for downstream processing, ideally in a machine learning/advanced analytics context. Experience in some our core technologies including Python, R, SQL, Azure/AWS platform services, Docker/Kubernetes and Spark to name a few. Excellent interpersonal skills and the ability to explain complex concepts to clients and colleagues from all backgrounds. The eagerness and capacity to quickly learn new domains and technologies. Additional Info Career Development and Training We offer excellent prospects for your future. While we do offer traditional career paths, most staff end up shaping their own based on their aspirations, the skills they have developed and the projects they have worked on. As your career progresses, you will be able to contribute to projects in a variety of roles, from Data Scientist and Software Developer to Business Analyst and Project Manager, or any combination of these. We take personal development seriously and all staff receive an annual training allowance of 150 hours, which can be used to learn new technical and soft skills, often leading to recognised professional qualifications. Our Culture and Benefits We are proud of our culture, where a positive attitude, supportive colleagues and commitment to continuous learning are all valued. The wellbeing and engagement of all staff is our priority, and we work in a collaborative, cooperative environment with a good work-life balance. We offer an excellent salary and benefits package including a range of flexible benefits, which staff can tailor to fit their needs. We also support flexible working requests where possible. About Us As a member of the Hybrid Intelligence team of Capgemini Engineering you will work on a variety of innovative and rewarding projects that make a difference. Our work is a fusion of applied mathematics, scientific computing, AI, and software engineering. We deliver ground-breaking, multi-disciplinary solutions for our R&D-driven clients tackling humanity's generational challenges, from discovering new drug treatments to harnessing green energy. We are dedicated to creating a diverse environment and are proud to be an equal opportunity employer. We appreciate individuals for who they are and value the diversity they bring to the workplace. Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. It is a multicultural company of over 270,000 team members in almost 50 countries.
21/09/2022
Full time
The Role Hybrid Intelligence, a Capgemini Engineering team, is looking for an experienced data engineer with a background in science, mathematics or engineering to join us. You will have the opportunity to use a range of skills to create, develop and deliver solutions that truly make a difference in the world. You will help our clients solve a variety of science and engineering problems. Projects can span a range of activities and your responsibilities will include: Combining domain knowledge and technical skills to understand and solve the complex challenges facing our clients. Designing and developing custom software solutions to solve complex scientific and engineering problems Building strong relationships, communicating and collaborating with clients and colleagues. Our projects are exciting and rewarding and provide plenty of opportunities to learn and develop. They can be based either on client sites or in our offices, so you will be expected to undertake regular travel, usually no more than one hour from your base office. You will be assigned to projects based on your existing skills and experience, but you will also learn new domains and technologies and apply innovative thinking and transferable skills to solve new challenges. Requirements BSc, MSc or PhD in science, mathematics or engineering. This is important in order to speak the same language as our clients and understand their industry-related challenges. A background or experience purely in finance, economics, marketing, business intelligence, etc is NOT particularly relevant to this role. Several years of proven industrial experience in data engineering in a scientific or engineering environment. Proven experience in ETL/ELT practices and data schema development to prepare scientific data for downstream processing, ideally in a machine learning/advanced analytics context. Experience in some our core technologies including Python, R, SQL, Azure/AWS platform services, Docker/Kubernetes and Spark to name a few. Excellent interpersonal skills and the ability to explain complex concepts to clients and colleagues from all backgrounds. The eagerness and capacity to quickly learn new domains and technologies. Additional Info Career Development and Training We offer excellent prospects for your future. While we do offer traditional career paths, most staff end up shaping their own based on their aspirations, the skills they have developed and the projects they have worked on. As your career progresses, you will be able to contribute to projects in a variety of roles, from Data Scientist and Software Developer to Business Analyst and Project Manager, or any combination of these. We take personal development seriously and all staff receive an annual training allowance of 150 hours, which can be used to learn new technical and soft skills, often leading to recognised professional qualifications. Our Culture and Benefits We are proud of our culture, where a positive attitude, supportive colleagues and commitment to continuous learning are all valued. The wellbeing and engagement of all staff is our priority, and we work in a collaborative, cooperative environment with a good work-life balance. We offer an excellent salary and benefits package including a range of flexible benefits, which staff can tailor to fit their needs. We also support flexible working requests where possible. About Us As a member of the Hybrid Intelligence team of Capgemini Engineering you will work on a variety of innovative and rewarding projects that make a difference. Our work is a fusion of applied mathematics, scientific computing, AI, and software engineering. We deliver ground-breaking, multi-disciplinary solutions for our R&D-driven clients tackling humanity's generational challenges, from discovering new drug treatments to harnessing green energy. We are dedicated to creating a diverse environment and are proud to be an equal opportunity employer. We appreciate individuals for who they are and value the diversity they bring to the workplace. Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. It is a multicultural company of over 270,000 team members in almost 50 countries.
Ofcom is the regulator for the communications services that we use and rely on each day. We make sure people get the best from their broadband, home phone and mobile services, as well as keeping an eye on TV and radio. We also oversee the universal postal service, look after the airwaves used by wireless devices, and also help to make sure people don't get scammed and are protected from bad practices, and we have recently taken on the regulation of video-sharing platforms, and we are preparing for a role in protecting people from online harms. Protecting consumers is at the heart of what we do. Our culture is clear - we live by our values: Empowerment; Excellence; Collaboration; Agility and Respect. These define how we work to deliver our purpose, now and in the future. The behaviours which support these values set the path for a fully inclusive and innovative culture at Ofcom. We focus not only on what we do, but how we do it. We pride ourselves on being an organisation of people who genuinely care about helping others. The Data Innovation Hub works with colleagues across the organisation to improve Ofcom's capability to process, analyse and extract insights from data. For example, we crunch terabytes of data to give us an unparalleled understanding of the coverage and performance of the UK's broadband and mobile networks. And we're exploring how artificial intelligence and machine learning can help us extract more insights from complex data sets or help us do things more efficiently. Purpose of the role This role will support the delivery of our data strategy and growing data agenda by bringing an open mind and strong intellectual curiosity to develop our data analysis capability. Identifying and solving complex business problems with data science and ensuring that we continue to innovate and leverage our data. We are looking for talent to join a central team that can work with all areas of regulatory work, assisting and working alongside colleagues across the organisation, including those working on the new online safety regime. by, exploring the application of deep learning for anomaly detection, combining social media analysis and natural language processing to understand issues affecting consumers or developing new ways to visualise and interact with our geospatial data. Expectations To work collaboratively with colleagues in the Data Innovation Hub, policy and operations teams to understand where data science can add value and deliver innovative projects Work with data engineers to source, access, manipulate and engineer data across a range of sources and data formats Build credible statistical models from a range of data sources data and use best coding practices to generate reproducible work in an agile way. Taking projects through to productions where appropriate Explore and visualise data to present a story in a meaningful way, and communicate new insights to a range of technical and non-technical audiences Maintain an awareness of, and utilise an evolving range of data analysis tools and techniques, including open source, some of which must be learnt quickly, as and when required Promote data science skills and inspire best practice in other teams, building an understanding the variety of data science methods and how they can be effectively applied to solve problems Ensuring compliance with our relevant data and information security principles Support colleagues in engagement with external stakeholders on a range of data and data science related topics. Essential Skills & Knowledge You will need to demonstrate knowledge or experience of: Translating complex business problems into analytical projects, then leading or delivering impactful data or analysis with tangible outcomes. A range of data and analytic tools (such as Python, R, Power BI, Azure Databricks, or equivalent), and cloud computing environments. Machine Learning, statistics, or other data analysis tools and techniques. In particular, but not limited to, we would welcome applications from candidates with experience in the following areas of data science: Natural Language Processing Geospatial Data Science Graphs / Network Analytics Neural Networks and Deep Learning Additional experience: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions, including reviewing the work of others Acting as a thought leader within the Data Science community, including through management and development of junior staff and others' projects. Exploring and advocating ways of utilising new data science tools and techniques to tackle business and organisational challenges, drawing on the application of, and innovation in communication services industries, academia, and other sectors. Strong interpersonal skills and evidence of ability to interact effectively with a range of stakeholders, both internally and externally, to communicate technical concepts across organisational and technical boundaries. Working independently, demonstrating flexibility and adaptability, and supporting a culture of collaboration and trust. Previous experience in the one of our regulatory areas, particularly in online, would be desirable, but is not essential.
09/11/2021
Full time
Ofcom is the regulator for the communications services that we use and rely on each day. We make sure people get the best from their broadband, home phone and mobile services, as well as keeping an eye on TV and radio. We also oversee the universal postal service, look after the airwaves used by wireless devices, and also help to make sure people don't get scammed and are protected from bad practices, and we have recently taken on the regulation of video-sharing platforms, and we are preparing for a role in protecting people from online harms. Protecting consumers is at the heart of what we do. Our culture is clear - we live by our values: Empowerment; Excellence; Collaboration; Agility and Respect. These define how we work to deliver our purpose, now and in the future. The behaviours which support these values set the path for a fully inclusive and innovative culture at Ofcom. We focus not only on what we do, but how we do it. We pride ourselves on being an organisation of people who genuinely care about helping others. The Data Innovation Hub works with colleagues across the organisation to improve Ofcom's capability to process, analyse and extract insights from data. For example, we crunch terabytes of data to give us an unparalleled understanding of the coverage and performance of the UK's broadband and mobile networks. And we're exploring how artificial intelligence and machine learning can help us extract more insights from complex data sets or help us do things more efficiently. Purpose of the role This role will support the delivery of our data strategy and growing data agenda by bringing an open mind and strong intellectual curiosity to develop our data analysis capability. Identifying and solving complex business problems with data science and ensuring that we continue to innovate and leverage our data. We are looking for talent to join a central team that can work with all areas of regulatory work, assisting and working alongside colleagues across the organisation, including those working on the new online safety regime. by, exploring the application of deep learning for anomaly detection, combining social media analysis and natural language processing to understand issues affecting consumers or developing new ways to visualise and interact with our geospatial data. Expectations To work collaboratively with colleagues in the Data Innovation Hub, policy and operations teams to understand where data science can add value and deliver innovative projects Work with data engineers to source, access, manipulate and engineer data across a range of sources and data formats Build credible statistical models from a range of data sources data and use best coding practices to generate reproducible work in an agile way. Taking projects through to productions where appropriate Explore and visualise data to present a story in a meaningful way, and communicate new insights to a range of technical and non-technical audiences Maintain an awareness of, and utilise an evolving range of data analysis tools and techniques, including open source, some of which must be learnt quickly, as and when required Promote data science skills and inspire best practice in other teams, building an understanding the variety of data science methods and how they can be effectively applied to solve problems Ensuring compliance with our relevant data and information security principles Support colleagues in engagement with external stakeholders on a range of data and data science related topics. Essential Skills & Knowledge You will need to demonstrate knowledge or experience of: Translating complex business problems into analytical projects, then leading or delivering impactful data or analysis with tangible outcomes. A range of data and analytic tools (such as Python, R, Power BI, Azure Databricks, or equivalent), and cloud computing environments. Machine Learning, statistics, or other data analysis tools and techniques. In particular, but not limited to, we would welcome applications from candidates with experience in the following areas of data science: Natural Language Processing Geospatial Data Science Graphs / Network Analytics Neural Networks and Deep Learning Additional experience: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions, including reviewing the work of others Acting as a thought leader within the Data Science community, including through management and development of junior staff and others' projects. Exploring and advocating ways of utilising new data science tools and techniques to tackle business and organisational challenges, drawing on the application of, and innovation in communication services industries, academia, and other sectors. Strong interpersonal skills and evidence of ability to interact effectively with a range of stakeholders, both internally and externally, to communicate technical concepts across organisational and technical boundaries. Working independently, demonstrating flexibility and adaptability, and supporting a culture of collaboration and trust. Previous experience in the one of our regulatory areas, particularly in online, would be desirable, but is not essential.
