At QinetiQ, we're not just imagining tomorrow, we are creating it. From cutting edge defence technology to ground breaking innovations, our mission is to empower and protect lives. Join us as a Principal Scientist at our Malvern site, where you will have the opportunity to work with advanced RF sensing and Electronic Warfare technologies alongside some of the brightest minds in the industry. The Role As a Principal Scientist, you will provide technical leadership in radar and electronic warfare, helping to shape the development of next generation sensing systems that operate in complex and contested electromagnetic environments. Day to day, you'll lead and deliver complex research and development projects, guide multi disciplinary teams, work closely with defence customers, and drive innovation in RF sensing, signal processing and system performance. Responsibilities Providing technical leadership across radar and electronic warfare projects Leading research, development and delivery of advanced RF sensing and signal processing solutions Working directly with customers to understand requirements and deliver high impact outcomes Coaching and mentoring engineers and scientists within the team Driving innovation and maintaining high technical standards Supporting business development and future capability growth Essential Experience Deep expertise in radar, electronic warfare or RF sensing systems Strong background in signal processing and electronic surveillance techniques Experience developing and analysing algorithms using MATLAB and/or Python Knowledge of trials, data analysis and system performance assessment Ability to lead complex technical projects and multi disciplinary teams Experience working with defence customers or in regulated, mission critical environments Essential Qualifications Degree in Science or Engineering or a nationally recognised equivalent Significant post graduate industry or research experience (typically 9-12+ years) We value difference and we don't have a fixed idea when it comes to background or education, provided you can show the required level of experience and willingness to learn then we would like to hear from you. This role is 37 hours per week based at Malvern. Hybrid working patterns are available. Travel to other QinetiQ and customer sites will be expected. Malvern The Malvern facility is noted for its work in electronic warfare, surveillance and complex system integration, contributing significantly to the UK's defence capabilities. Developing technologies for military and civilian applications, including sensors, communications and cyber security. Why Join QinetiQ? As we continue to grow into new markets around the world, there's never been a more exciting time to join QinetiQ. The formula for success is our appetite for innovation and having the courage to take on a wide variety of complex challenges. As a QinetiQ employee, you'll experience a unique working environment where teams from different backgrounds, disciplines and experiences enjoy collaborating widely and openly as we undertake this exciting and rewarding journey. Through effective teamwork, and pulling together, you'll get to experience what happens when we all share different perspectives, blend disciplines, and link technologies; constantly discovering new ways of solving complex problems in a diverse and inclusive environment where you can be authentic, feel valued and realise your full potential. Visit our website to read more about our diverse and inclusive workplace culture . Benefits Matched contribution pension scheme, with life assurance Generous holiday allowance, with the option to purchase additional days Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme Volunteering Opportunities - helping charities and local community Recruitment Process We want to make sure that our recruitment process is as inclusive as possible and we aspire to bring out the best in our candidates by creating an environment where everyone feels valued, heard and supported. If you have a disability or health condition that may affect your performance in certain assessment types, please speak to your Recruiter about potential reasonable adjustments. Many roles in QinetiQ are subject to national security vetting being completed, applicants who already hold the appropriate level of vetting may be able to transfer it upon appointment. A number of roles are also subject to additional restrictions, which means factors such as nationality or previous nationalities may affect the roles that you can be employed in. Please note that all applicants for this role must be eligible for SC clearance, as a minimum.
Mar 03, 2026
Full time
At QinetiQ, we're not just imagining tomorrow, we are creating it. From cutting edge defence technology to ground breaking innovations, our mission is to empower and protect lives. Join us as a Principal Scientist at our Malvern site, where you will have the opportunity to work with advanced RF sensing and Electronic Warfare technologies alongside some of the brightest minds in the industry. The Role As a Principal Scientist, you will provide technical leadership in radar and electronic warfare, helping to shape the development of next generation sensing systems that operate in complex and contested electromagnetic environments. Day to day, you'll lead and deliver complex research and development projects, guide multi disciplinary teams, work closely with defence customers, and drive innovation in RF sensing, signal processing and system performance. Responsibilities Providing technical leadership across radar and electronic warfare projects Leading research, development and delivery of advanced RF sensing and signal processing solutions Working directly with customers to understand requirements and deliver high impact outcomes Coaching and mentoring engineers and scientists within the team Driving innovation and maintaining high technical standards Supporting business development and future capability growth Essential Experience Deep expertise in radar, electronic warfare or RF sensing systems Strong background in signal processing and electronic surveillance techniques Experience developing and analysing algorithms using MATLAB and/or Python Knowledge of trials, data analysis and system performance assessment Ability to lead complex technical projects and multi disciplinary teams Experience working with defence customers or in regulated, mission critical environments Essential Qualifications Degree in Science or Engineering or a nationally recognised equivalent Significant post graduate industry or research experience (typically 9-12+ years) We value difference and we don't have a fixed idea when it comes to background or education, provided you can show the required level of experience and willingness to learn then we would like to hear from you. This role is 37 hours per week based at Malvern. Hybrid working patterns are available. Travel to other QinetiQ and customer sites will be expected. Malvern The Malvern facility is noted for its work in electronic warfare, surveillance and complex system integration, contributing significantly to the UK's defence capabilities. Developing technologies for military and civilian applications, including sensors, communications and cyber security. Why Join QinetiQ? As we continue to grow into new markets around the world, there's never been a more exciting time to join QinetiQ. The formula for success is our appetite for innovation and having the courage to take on a wide variety of complex challenges. As a QinetiQ employee, you'll experience a unique working environment where teams from different backgrounds, disciplines and experiences enjoy collaborating widely and openly as we undertake this exciting and rewarding journey. Through effective teamwork, and pulling together, you'll get to experience what happens when we all share different perspectives, blend disciplines, and link technologies; constantly discovering new ways of solving complex problems in a diverse and inclusive environment where you can be authentic, feel valued and realise your full potential. Visit our website to read more about our diverse and inclusive workplace culture . Benefits Matched contribution pension scheme, with life assurance Generous holiday allowance, with the option to purchase additional days Options to join Health Cash Plan, Private Medical Insurance and Dental Insurance Employee discount portal: Personal Accident Insurance, Travel Insurance, Restaurants, Cinema Tickets and much more We are proud to support the Armed Forces community by honouring the Armed Forces Covenant and maintaining our Gold Award standard in the Defence Employer Recognition Scheme Volunteering Opportunities - helping charities and local community Recruitment Process We want to make sure that our recruitment process is as inclusive as possible and we aspire to bring out the best in our candidates by creating an environment where everyone feels valued, heard and supported. If you have a disability or health condition that may affect your performance in certain assessment types, please speak to your Recruiter about potential reasonable adjustments. Many roles in QinetiQ are subject to national security vetting being completed, applicants who already hold the appropriate level of vetting may be able to transfer it upon appointment. A number of roles are also subject to additional restrictions, which means factors such as nationality or previous nationalities may affect the roles that you can be employed in. Please note that all applicants for this role must be eligible for SC clearance, as a minimum.
Life at UiPath The people at UiPath believes in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who is curious, self propelled, generous, and genuine. People who loves being part of a fast moving, fast thinking growth company. And people who cares-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission As a Principal Software Engineering Manager in the UiPath IXP organization, you will shape the technical direction of our intelligent document processing platform and the systems powering AI driven extraction at enterprise scale. You will also directly manage a team of engineers, combining hands on technical leadership with people management responsibility. You will provide technical leadership, architectural vision, and strategic ownership across multiple services - influencing how we design, build, and operate distributed AI systems globally. You will guide the evolution of backend services, real time pipelines, and platform infrastructure supporting specialized and generative AI models. A key part of this role is guiding the technical strategy for applied AI systems - helping the organization decide when to leverage external foundational models versus internally developed or self hosted models, balancing performance, cost, privacy, and long term platform differentiation. What you'll do at UiPath Technical Leadership & Vision Define and drive the long term architectural direction for core backend and platform systems supporting enterprise scale AI workloads. Identify systemic technical risks and opportunities, leading initiatives that improve scalability, reliability, and developer productivity across teams. Establish engineering standards, architectural principles, and best practices adopted across the organization. Partner with product and engineering leadership to translate business strategy into technical execution. AI Strategy & Applied Decision Making Collaborate with research teams to translate experimental models into reliable production systems. Drive architectural decisions around hybrid AI systems combining deterministic logic, classical ML, and generative AI. Define patterns for safe, observable, and scalable model deployment and inference. Ensure AI platform evolution aligns with enterprise customer expectations around security, privacy, and reliability. People Management Directly manage 5-10 engineers, owning their career development, performance reviews, goal setting, and day to day coaching. Foster a high performing, inclusive team culture grounded in psychological safety and engineering excellence. Drive hiring, onboarding, and retention for your team; participate in calibration and compensation planning. Remove blockers, balance workload, and ensure team health alongside delivery commitments. What you'll bring to the team 7+ years designing and operating large scale distributed commercial systems. 2+ years of experience directly managing software engineers, including performance management, career development, and team building. Demonstrated impact beyond a single team, influencing architecture or engineering direction across multiple groups. Deep expertise in backend systems, distributed architectures, concurrency, and performance optimization. Strong experience with cloud ecosystems (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes, Helm). Proficiency in Python or comparable backend languages; Rust or other systems languages a strong plus. Experience with distributed databases and data platforms (e.g., PostgreSQL, CockroachDB, Elasticsearch). Strong architectural judgment and ability to evaluate trade offs across scale, complexity, and delivery timelines. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences and coach engineers at varying levels of seniority. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neuro diversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Mar 02, 2026
Full time
Life at UiPath The people at UiPath believes in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who is curious, self propelled, generous, and genuine. People who loves being part of a fast moving, fast thinking growth company. And people who cares-about each other, about UiPath, and about our larger purpose. Could that be you? Your mission As a Principal Software Engineering Manager in the UiPath IXP organization, you will shape the technical direction of our intelligent document processing platform and the systems powering AI driven extraction at enterprise scale. You will also directly manage a team of engineers, combining hands on technical leadership with people management responsibility. You will provide technical leadership, architectural vision, and strategic ownership across multiple services - influencing how we design, build, and operate distributed AI systems globally. You will guide the evolution of backend services, real time pipelines, and platform infrastructure supporting specialized and generative AI models. A key part of this role is guiding the technical strategy for applied AI systems - helping the organization decide when to leverage external foundational models versus internally developed or self hosted models, balancing performance, cost, privacy, and long term platform differentiation. What you'll do at UiPath Technical Leadership & Vision Define and drive the long term architectural direction for core backend and platform systems supporting enterprise scale AI workloads. Identify systemic technical risks and opportunities, leading initiatives that improve scalability, reliability, and developer productivity across teams. Establish engineering standards, architectural principles, and best practices adopted across the organization. Partner with product and engineering leadership to translate business strategy into technical execution. AI Strategy & Applied Decision Making Collaborate with research teams to translate experimental models into reliable production systems. Drive architectural decisions around hybrid AI systems combining deterministic logic, classical ML, and generative AI. Define patterns for safe, observable, and scalable model deployment and inference. Ensure AI platform evolution aligns with enterprise customer expectations around security, privacy, and reliability. People Management Directly manage 5-10 engineers, owning their career development, performance reviews, goal setting, and day to day coaching. Foster a high performing, inclusive team culture grounded in psychological safety and engineering excellence. Drive hiring, onboarding, and retention for your team; participate in calibration and compensation planning. Remove blockers, balance workload, and ensure team health alongside delivery commitments. What you'll bring to the team 7+ years designing and operating large scale distributed commercial systems. 2+ years of experience directly managing software engineers, including performance management, career development, and team building. Demonstrated impact beyond a single team, influencing architecture or engineering direction across multiple groups. Deep expertise in backend systems, distributed architectures, concurrency, and performance optimization. Strong experience with cloud ecosystems (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes, Helm). Proficiency in Python or comparable backend languages; Rust or other systems languages a strong plus. Experience with distributed databases and data platforms (e.g., PostgreSQL, CockroachDB, Elasticsearch). Strong architectural judgment and ability to evaluate trade offs across scale, complexity, and delivery timelines. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences and coach engineers at varying levels of seniority. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neuro diversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Location: Glasgow or London (King's Cross) Workstyle: Hybrid Reports to: CTO About Chemify Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Our newly opened Chemifarm facility in Glasgow operates a growing fleet of advanced robotic systems that automate synthesis, optimisation, and library generation. As we scale up to globally distributed facilities, we are undertaking a foundational transformation of data integrates and scales across our platform. The Role We are looking for a Principal Data Architect to design and lead the evolution of Chemify's data architecture into a performant, distributed, well-governed, and enterprise-ready data ecosystem. Your mission is to define & implement how data flows across our platforms, how it is stored, synchronized, governed, and shared, both within Chemify and with external partners while complying with contractual, regulatory, and security constraints. This is a foundational role: your decisions will shape how Chemify scales from a single Chemifarm to a global network of automated laboratories that can safely collaborate with Enterprise customers and research partners. If you enjoy problem solving complex technical challenges that blend system Architecture, Data engineering and Distributed systems, are a natural communicator and are energized by working closely with scientists using cutting edge technologies, then we'd love to welcome you to our team. Key Responsibilities Define the enterprise data architecture for scientific and operational data to ensure it is "ML-ready" from the moment of ingestion. Establish a Data Lakehouse architecture on AWS to manage the massive scale of raw, unstructured "dark data" from robotic sensors (spectra, video, logs, etc.). Lead the strategic design and implementation of a unified chemical data fabric that integrates molecular structures, retrosynthetic reaction networks, and high-frequency robotic telemetry. You will be responsible for architecting a versioned Feature Store that standardizes chemical ontologies and pre-computed molecular descriptors, ensuring a seamless, high-fidelity data loop between robotic laboratory execution and AI-driven discovery engines. Advanced Relational & Semantic Modeling Architect Graph Data Models representing complex chemical reaction networks, optimized for synthesis AI and automated manufacturing planning. Lead the development of Foundational Semantic Ontologies that allow AI models to reason across disparate chemical data types. Design Vector Database integrations (e.g., pgvector, Pinecone) to facilitate similarity searches across billions of chemical entities. Industrial Telemetry & Edge Synchronization Architect the ingestion of high-frequency robot and sensor telemetry using MQTT/Streaming patterns, ensuring zero loss of "negative data" (failed experiments) critical for model training. Design a globally distributed data system that synchronizes local lab "Edge" data with global AI training clusters while maintaining consistency guarantees. Governance & Enterprise Readiness Own the data governance framework, specifically defining Data Tenancy and Partitioning models for Fortune 500 clients to ensure strict IP isolation. Architect secure, compliant Data Sharing patterns for external research partners, translating legal/contractual constraints into technical controls. Drive the data architecture roadmap toward SOC 2 and ISO 27001 readiness, focusing on auditability and access control for training data. About You You are an experienced Architect (e.g., TOGAF, AWS Certified Solutions Architect, or equivalent) with strong Python expertise in production data. You have a natural curiosity for complex scientific domains and thrive on creating lasting value through building modern data engineering solutions. We expect you to bring BSc or equivalent experience, preferably in a Data Engineering-related field. 8+ years commercial Data Architect & python experience. Deep experience with PostgreSQL, ideally in AWS RDS. Proven experience designing high-throughput telemetry / IoT / industrial data systems generating very large volumes of time-series data. Hands on understanding of stream ingestion patterns (MQTT). Experience with graph or Vector databases (Neo4j, Pinecone, pgvector) and modelling complex, highly relational domains. Proven experience designing distributed data systems across multiple services, teams, or locations. Demonstrable experience building impactful solutions with: Data governance frameworks Data tenancy and segregation models Data consistency and replication patterns Secure data sharing between organizations Beneficial Skills Prior involvement in SOC 2, ISO 27001 compliance programmes, particularly from a data architecture perspective. Exposure to scientific, chemical, or manufacturing data environments. Familiarity with modern data stack components (e.g., data lakes, streaming, or batch/real-time pipelines). Chemistry or AI Drug Discovery domain knowledge is a real differentiator for us Why Join Chemify? Impact You will help build the infrastructure that enables digital chemistry at scale - accelerating discovery, improving reproducibility, and unlocking new possibilities in science and medicine. Autonomy Reporting directly to the CTO, you will have meaningful influence over the technical direction and data strategy of a Series B deep tech rocket ship. Ambition We are scaling rapidly, investing in world class infrastructure, and tackling problems that sit at the frontier of robotics, AI, and chemistry. You will have the resources and mandate to build the right foundations for the future. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW
Feb 26, 2026
Full time
Location: Glasgow or London (King's Cross) Workstyle: Hybrid Reports to: CTO About Chemify Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Our newly opened Chemifarm facility in Glasgow operates a growing fleet of advanced robotic systems that automate synthesis, optimisation, and library generation. As we scale up to globally distributed facilities, we are undertaking a foundational transformation of data integrates and scales across our platform. The Role We are looking for a Principal Data Architect to design and lead the evolution of Chemify's data architecture into a performant, distributed, well-governed, and enterprise-ready data ecosystem. Your mission is to define & implement how data flows across our platforms, how it is stored, synchronized, governed, and shared, both within Chemify and with external partners while complying with contractual, regulatory, and security constraints. This is a foundational role: your decisions will shape how Chemify scales from a single Chemifarm to a global network of automated laboratories that can safely collaborate with Enterprise customers and research partners. If you enjoy problem solving complex technical challenges that blend system Architecture, Data engineering and Distributed systems, are a natural communicator and are energized by working closely with scientists using cutting edge technologies, then we'd love to welcome you to our team. Key Responsibilities Define the enterprise data architecture for scientific and operational data to ensure it is "ML-ready" from the moment of ingestion. Establish a Data Lakehouse architecture on AWS to manage the massive scale of raw, unstructured "dark data" from robotic sensors (spectra, video, logs, etc.). Lead the strategic design and implementation of a unified chemical data fabric that integrates molecular structures, retrosynthetic reaction networks, and high-frequency robotic telemetry. You will be responsible for architecting a versioned Feature Store that standardizes chemical ontologies and pre-computed molecular descriptors, ensuring a seamless, high-fidelity data loop between robotic laboratory execution and AI-driven discovery engines. Advanced Relational & Semantic Modeling Architect Graph Data Models representing complex chemical reaction networks, optimized for synthesis AI and automated manufacturing planning. Lead the development of Foundational Semantic Ontologies that allow AI models to reason across disparate chemical data types. Design Vector Database integrations (e.g., pgvector, Pinecone) to facilitate similarity searches across billions of chemical entities. Industrial Telemetry & Edge Synchronization Architect the ingestion of high-frequency robot and sensor telemetry using MQTT/Streaming patterns, ensuring zero loss of "negative data" (failed experiments) critical for model training. Design a globally distributed data system that synchronizes local lab "Edge" data with global AI training clusters while maintaining consistency guarantees. Governance & Enterprise Readiness Own the data governance framework, specifically defining Data Tenancy and Partitioning models for Fortune 500 clients to ensure strict IP isolation. Architect secure, compliant Data Sharing patterns for external research partners, translating legal/contractual constraints into technical controls. Drive the data architecture roadmap toward SOC 2 and ISO 27001 readiness, focusing on auditability and access control for training data. About You You are an experienced Architect (e.g., TOGAF, AWS Certified Solutions Architect, or equivalent) with strong Python expertise in production data. You have a natural curiosity for complex scientific domains and thrive on creating lasting value through building modern data engineering solutions. We expect you to bring BSc or equivalent experience, preferably in a Data Engineering-related field. 8+ years commercial Data Architect & python experience. Deep experience with PostgreSQL, ideally in AWS RDS. Proven experience designing high-throughput telemetry / IoT / industrial data systems generating very large volumes of time-series data. Hands on understanding of stream ingestion patterns (MQTT). Experience with graph or Vector databases (Neo4j, Pinecone, pgvector) and modelling complex, highly relational domains. Proven experience designing distributed data systems across multiple services, teams, or locations. Demonstrable experience building impactful solutions with: Data governance frameworks Data tenancy and segregation models Data consistency and replication patterns Secure data sharing between organizations Beneficial Skills Prior involvement in SOC 2, ISO 27001 compliance programmes, particularly from a data architecture perspective. Exposure to scientific, chemical, or manufacturing data environments. Familiarity with modern data stack components (e.g., data lakes, streaming, or batch/real-time pipelines). Chemistry or AI Drug Discovery domain knowledge is a real differentiator for us Why Join Chemify? Impact You will help build the infrastructure that enables digital chemistry at scale - accelerating discovery, improving reproducibility, and unlocking new possibilities in science and medicine. Autonomy Reporting directly to the CTO, you will have meaningful influence over the technical direction and data strategy of a Series B deep tech rocket ship. Ambition We are scaling rapidly, investing in world class infrastructure, and tackling problems that sit at the frontier of robotics, AI, and chemistry. You will have the resources and mandate to build the right foundations for the future. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW