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sensor design and modelling engineer
Tulip Recruitment
Project Solutions Delivery Manager
Tulip Recruitment Basingstoke, Hampshire
We are looking for an experienced Project Solutions Delivery Manager to lead the successful delivery of complex customer solutions across our business. Operating within the Operations function, this role is responsible for ensuring technical solutions are designed, integrated, deployed, and handed over to customers in a controlled, high-quality, and commercially sound manner. You will lead the Solution Delivery function, providing oversight across scope, schedule, cost, risk, and quality for a portfolio of delivery programmes. Working closely with Business Development, Product, Engineering, and Operations teams, you will ensure projects are delivered consistently, predictably, and in line with customer expectations. This is a leadership role focused on delivery excellence, operational discipline, and building scalable delivery capability across the organisation. Key job requirements and responsibilities: Lead, manage, and develop the Solution Delivery function, including direct leadership of the TSDM team and cross-functional delivery teams across Product, Engineering, Field Service, Monitoring and Operations. Ensure consistent performance management, succession planning, and capability growth. Ensure alignment of Solution Delivery processes, systems and governance with the Group standards and business systems (TBS), embedding group requirements into local delivery practices where applicable. Undertake UK and international travel as required to support customer deployments, programme oversight, and stakeholder engagement. Delivery Governance and Standards Ensure highest standards of Health, Safety, Environment, Security, and Quality in solution delivery in line with applicable ISO and other relevant standards. Establish and own the Solution Delivery framework, tools, and methodology. Standardise project lifecycle governance from proposal through to handover. Programme and Project Oversight Provide oversight and assurance across all active delivery programmes. Manage prioritisation of projects, monitor dependencies, risks, and cross-project resource conflicts. Intervene where required to unblock, escalate, or stabilise projects. Support Business Development in the preparation of proposals Manage handover from Business Development into Delivery Handover from Delivery to Operations Financial and Commercial Control Support bid costing and commercial modelling. Ensure delivery teams operate within approved budgets. Monitor project performance to maintain accurate forecasting, cost tracking, and milestone billing controls, and provide regular reporting as required. Technical and Solution Oversight Maintain sufficient technical understanding across software, sensor integration, infrastructure deployment, and system integration domains. Ensure solutions are fit-for-purpose, scalable, secure, and compliant. Provide escalation support on complex technical delivery challenges. Ensure safe and compliant installation and deployment activity. Ensure team are able to operate, demonstrate, install, and configure FACE. Qualifications / skills and experience Essential Significant experience leading technical solution delivery of integrated hardware and software systems to external customers within a complex technology environment Strong financial and commercial management capability within programme and project delivery, including cost control, forecasting, and risk management. Strong stakeholder management skills, with the ability to operate confidently at executive and customer level. Eligibility to obtain and maintain UK security clearance. Full UK driving licence. Willingness and ability to undertake international travel as required. Must have the right to work in the UK. Experience operating in regulated, defence, critical infrastructure, or similarly controlled environments is desirable.
Mar 11, 2026
Full time
We are looking for an experienced Project Solutions Delivery Manager to lead the successful delivery of complex customer solutions across our business. Operating within the Operations function, this role is responsible for ensuring technical solutions are designed, integrated, deployed, and handed over to customers in a controlled, high-quality, and commercially sound manner. You will lead the Solution Delivery function, providing oversight across scope, schedule, cost, risk, and quality for a portfolio of delivery programmes. Working closely with Business Development, Product, Engineering, and Operations teams, you will ensure projects are delivered consistently, predictably, and in line with customer expectations. This is a leadership role focused on delivery excellence, operational discipline, and building scalable delivery capability across the organisation. Key job requirements and responsibilities: Lead, manage, and develop the Solution Delivery function, including direct leadership of the TSDM team and cross-functional delivery teams across Product, Engineering, Field Service, Monitoring and Operations. Ensure consistent performance management, succession planning, and capability growth. Ensure alignment of Solution Delivery processes, systems and governance with the Group standards and business systems (TBS), embedding group requirements into local delivery practices where applicable. Undertake UK and international travel as required to support customer deployments, programme oversight, and stakeholder engagement. Delivery Governance and Standards Ensure highest standards of Health, Safety, Environment, Security, and Quality in solution delivery in line with applicable ISO and other relevant standards. Establish and own the Solution Delivery framework, tools, and methodology. Standardise project lifecycle governance from proposal through to handover. Programme and Project Oversight Provide oversight and assurance across all active delivery programmes. Manage prioritisation of projects, monitor dependencies, risks, and cross-project resource conflicts. Intervene where required to unblock, escalate, or stabilise projects. Support Business Development in the preparation of proposals Manage handover from Business Development into Delivery Handover from Delivery to Operations Financial and Commercial Control Support bid costing and commercial modelling. Ensure delivery teams operate within approved budgets. Monitor project performance to maintain accurate forecasting, cost tracking, and milestone billing controls, and provide regular reporting as required. Technical and Solution Oversight Maintain sufficient technical understanding across software, sensor integration, infrastructure deployment, and system integration domains. Ensure solutions are fit-for-purpose, scalable, secure, and compliant. Provide escalation support on complex technical delivery challenges. Ensure safe and compliant installation and deployment activity. Ensure team are able to operate, demonstrate, install, and configure FACE. Qualifications / skills and experience Essential Significant experience leading technical solution delivery of integrated hardware and software systems to external customers within a complex technology environment Strong financial and commercial management capability within programme and project delivery, including cost control, forecasting, and risk management. Strong stakeholder management skills, with the ability to operate confidently at executive and customer level. Eligibility to obtain and maintain UK security clearance. Full UK driving licence. Willingness and ability to undertake international travel as required. Must have the right to work in the UK. Experience operating in regulated, defence, critical infrastructure, or similarly controlled environments is desirable.
Saab UK
Sensor Fusion Software Lead
Saab UK Bedford, Bedfordshire
Introduction Saab in UK is growing rapidly, with over 500 colleagues across eight sites. We bring together Swedish heritage and British expertise to drive innovation in areas such as software engineering, underwater robotics, radars, AI, and armed forces training. Joining Saab in UK means contributing to the security and resilience of society while building a career with real scope for personal and professional growth. The Role: This role is part of Saab BlueBear in Bedfordshire. You will be required to support a mixture of R&D and product development activities and will be keen to get involved in all development areas, and have a good track history / proven track record in both problem solving and quality software development. Your role as a Sensor Fusion Lead will involve architecting, designing, implementing and testing embedded applications primarily focused around sensor suite integration and fusion. You may also lead a small team of other engineers. Tasks will generally involve architecting software systems and features that facilitate our state of the art methods for navigation in a variety of environments using our in-house fleet of UAVs. Key Responsibilities: Primarily, your role will be to maintain, architect and develop our current sensor fusion capabilities and add new features in a structured and maintainable manner under direction of product owner (Head of Digital Systems). Research, Architect, Design and Test Sensor Fusion algorithms using Mathworks products. Technically lead the software development for Sensor Fusion activities to deliver new features and capabilities to our Autonomy and UAV systems. Ensure the Sensor Fusion software considers and implements redundancy, real-time, safety/critical and security objectives. Proactively engage with other engineers, teams and leadership to ensure needs are understood and met. Gain system wide knowledge and become a subject matter expert in the Sensor Fusion field. Ensure Sensor Fusion knowledge transfer through written and other methods to the rest of the team. Gain understanding and technically contribute to the wider software team and software projects. Skills and Experience: Strong working experience of developing embedded C++ applications. Knowledge of state estimation / sensor fusion / navigation tools and techniques e.g. Kalman filters. Knowledge of the principles and characteristics of sensors and sensing processes. Experience in data processing and analysis. Experience in sensor selection, evaluation and modelling. Understanding of flight mechanics. Software Architecture skills for Embedded Systems and/or backend/server-based applications taking into account constraints of performance, security and redundancy Looks to work collaboratively rather than in isolation. Knowledge of GNSS and other positioning technologies (e.g. Visual Navigation). Working knowledge of Linux and/or real time operating systems such as FreeRTOS. Good understanding of development tool chain for debugging and problem solving using e.g. gdb. Knowledge of networking (e.g.TCP/IP). Knowledge of serial interfaces (e.g. RS422/485). Able to use (or even create) CI/CD pipelines using Jenkins or similar. Knowledge of Matlab/Simulink Testing (Unit, Integration) and/or Test automation experience. Experience as a Technical leader. Experience mentoring junior engineers. Understanding of quality, safety and security standards for software (e.g. DO-178). Good communication skills for internal and external technical discussions. Knowledge of any of the following MQTT, DDS and GIS. Existing SC Clearance would be advantageous. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview
Mar 05, 2026
Full time
Introduction Saab in UK is growing rapidly, with over 500 colleagues across eight sites. We bring together Swedish heritage and British expertise to drive innovation in areas such as software engineering, underwater robotics, radars, AI, and armed forces training. Joining Saab in UK means contributing to the security and resilience of society while building a career with real scope for personal and professional growth. The Role: This role is part of Saab BlueBear in Bedfordshire. You will be required to support a mixture of R&D and product development activities and will be keen to get involved in all development areas, and have a good track history / proven track record in both problem solving and quality software development. Your role as a Sensor Fusion Lead will involve architecting, designing, implementing and testing embedded applications primarily focused around sensor suite integration and fusion. You may also lead a small team of other engineers. Tasks will generally involve architecting software systems and features that facilitate our state of the art methods for navigation in a variety of environments using our in-house fleet of UAVs. Key Responsibilities: Primarily, your role will be to maintain, architect and develop our current sensor fusion capabilities and add new features in a structured and maintainable manner under direction of product owner (Head of Digital Systems). Research, Architect, Design and Test Sensor Fusion algorithms using Mathworks products. Technically lead the software development for Sensor Fusion activities to deliver new features and capabilities to our Autonomy and UAV systems. Ensure the Sensor Fusion software considers and implements redundancy, real-time, safety/critical and security objectives. Proactively engage with other engineers, teams and leadership to ensure needs are understood and met. Gain system wide knowledge and become a subject matter expert in the Sensor Fusion field. Ensure Sensor Fusion knowledge transfer through written and other methods to the rest of the team. Gain understanding and technically contribute to the wider software team and software projects. Skills and Experience: Strong working experience of developing embedded C++ applications. Knowledge of state estimation / sensor fusion / navigation tools and techniques e.g. Kalman filters. Knowledge of the principles and characteristics of sensors and sensing processes. Experience in data processing and analysis. Experience in sensor selection, evaluation and modelling. Understanding of flight mechanics. Software Architecture skills for Embedded Systems and/or backend/server-based applications taking into account constraints of performance, security and redundancy Looks to work collaboratively rather than in isolation. Knowledge of GNSS and other positioning technologies (e.g. Visual Navigation). Working knowledge of Linux and/or real time operating systems such as FreeRTOS. Good understanding of development tool chain for debugging and problem solving using e.g. gdb. Knowledge of networking (e.g.TCP/IP). Knowledge of serial interfaces (e.g. RS422/485). Able to use (or even create) CI/CD pipelines using Jenkins or similar. Knowledge of Matlab/Simulink Testing (Unit, Integration) and/or Test automation experience. Experience as a Technical leader. Experience mentoring junior engineers. Understanding of quality, safety and security standards for software (e.g. DO-178). Good communication skills for internal and external technical discussions. Knowledge of any of the following MQTT, DDS and GIS. Existing SC Clearance would be advantageous. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview
MBDA UK
Electro-Optical Design Engineer
MBDA UK Stevenage, Hertfordshire
Stevenage We have an opportunity to join our Seeker Design Department as an Electro-Optical Design Engineer, supporting us in the design, development and delivery of some of the most cutting-edge Electro-Optical Seekers, sensors and optical systems available! Salary: Up to £55,000 depending on experience Dynamic (hybrid) working: typically, a minimum of 3 days per week on-site, due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship. Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more . The opportunity: We are responsible for supporting MBDA's complex weapon programmes through the provision of specialist Electro-Optical Sensor design support. Depending on the programme this will vary from specification and assessment through to delivery and support. We also lead and conduct industry-leading cutting-edge R&D activities to support future emerging programmes. The nature of the work is broad, varied and dynamically changing. You will work within a multi-disciplinary, highly skilled and experienced team that will support you in delivering our commitments. We will work with you to develop your skill, knowledge and experience, as well as supporting your ongoing professional development, all while ensuring a good work-life balance. The successful applicant will join our specialist optical design team within the Electro-Optics Systems group. You will be responsible for working with our customers and stakeholders across a range of, conducting engineering activities, regularly engaging with colleagues from a number of engineering disciplines; for our electro-optical systems, with a specific focus on optical design aspects. However, the role is not purely focused on optical design but will also involve activities in across the broader electro-optical systems adjacent engineering disciplines. as well in order to ensure the most balanced solution possible to meet our customer's needs. What we're looking for from you: Design and development of imaging and non-imaging Electro-Optical imaging systems. Optical and opto-mechanical design, including performance modelling, alignment and tolerancing. Using optical design tools such as Zemax or equivalent. Understanding of the physics of optical radiation, propagation and detection, in particular in the infra-red wave-bands. Have a proven track record of on time delivery particularly in a dynamic working environment. Able to engage with a broad range of partners and forge strategic technical relationships. Be adaptable, self-starting and able to work both independently and as part of a wider design team. Desirable but not essential: Usage of Engineering Tools such as Jira, IBM EWM and DOORS Next, Matlab and Simulink. Experience in designing optical and mechanical elements within CAD tools such as PTC Creo. Experience in designing and developing laser-based optical systems. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.
Feb 28, 2026
Full time
Stevenage We have an opportunity to join our Seeker Design Department as an Electro-Optical Design Engineer, supporting us in the design, development and delivery of some of the most cutting-edge Electro-Optical Seekers, sensors and optical systems available! Salary: Up to £55,000 depending on experience Dynamic (hybrid) working: typically, a minimum of 3 days per week on-site, due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship. Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more . The opportunity: We are responsible for supporting MBDA's complex weapon programmes through the provision of specialist Electro-Optical Sensor design support. Depending on the programme this will vary from specification and assessment through to delivery and support. We also lead and conduct industry-leading cutting-edge R&D activities to support future emerging programmes. The nature of the work is broad, varied and dynamically changing. You will work within a multi-disciplinary, highly skilled and experienced team that will support you in delivering our commitments. We will work with you to develop your skill, knowledge and experience, as well as supporting your ongoing professional development, all while ensuring a good work-life balance. The successful applicant will join our specialist optical design team within the Electro-Optics Systems group. You will be responsible for working with our customers and stakeholders across a range of, conducting engineering activities, regularly engaging with colleagues from a number of engineering disciplines; for our electro-optical systems, with a specific focus on optical design aspects. However, the role is not purely focused on optical design but will also involve activities in across the broader electro-optical systems adjacent engineering disciplines. as well in order to ensure the most balanced solution possible to meet our customer's needs. What we're looking for from you: Design and development of imaging and non-imaging Electro-Optical imaging systems. Optical and opto-mechanical design, including performance modelling, alignment and tolerancing. Using optical design tools such as Zemax or equivalent. Understanding of the physics of optical radiation, propagation and detection, in particular in the infra-red wave-bands. Have a proven track record of on time delivery particularly in a dynamic working environment. Able to engage with a broad range of partners and forge strategic technical relationships. Be adaptable, self-starting and able to work both independently and as part of a wider design team. Desirable but not essential: Usage of Engineering Tools such as Jira, IBM EWM and DOORS Next, Matlab and Simulink. Experience in designing optical and mechanical elements within CAD tools such as PTC Creo. Experience in designing and developing laser-based optical systems. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.
AVD Appoint Ltd
Senior Electronics Design Engineer
AVD Appoint Ltd Briton Ferry, West Glamorgan
Senior Electronics Design Engineer - Glamorgan (Hybrid) - up to 55,000 + Relocation + Benefits - Ref 1990 I am currently recruiting for a Senior Electronics Design Engineer to work for a cutting-edge technology company based in Glamorgan, but on a hybrid basis. Salary up to 55,000 + Relocation + Benefits. The organisation has been in operation for many years and are worldwide leaders within the design, development, and manufacture of their highly intelligent products. As a business they have a very impressive turnover, employ around 250 people and are constantly evolving their legacy products as well as designing and developing new innovative products to bring to market. In line with demand for their products and to support the business with their innovation plans they have the need to create a new role and appoint a Senior Electronics Design Engineer on a permanent basis. In this role as a Senior Electronics Design Engineer, you will responsible for researching, developing, testing and implementing novel technologies and establishing how they could be integrated into the electro mechanical products to innovate their offering, ensuring their products remain superior to their competitors and that they are able to offer the market what they want from a product function perspective with regards to emerging trends. This will be early product research and you'll be working at prototype level, with any viable ideas being transferred across to the design and development team who will further expand upon your concepts with a view of getting them into production. In this role you will be focused on PCB design and schematic capture with a big emphasis on sensors, power supplies / power electronics and programming. Essential Requirements: Experience as an Electronics Design Engineer, Hardware Engineer, Research and Development Engineer or similar At least 3 years' experience Experience with PCB design and schematic capture Experience with Power Electronics / Power Supplies Experience with C,C++ or Python Desirable Requirements: Experience with Sensors Strong Physics understanding / background Experience with Thermal analysis / Modelling PhD Previous experience in Research and Development activities Experience working in a highly regulated environment This is a fantastic opportunity for a Senior Electronics Design Engineer to work for a growing company who are working with some of the most advanced technology available. With the ambitious, but realistic plans the company has forecast there will be lots of opportunities to develop and progress internally if this appeals. This is an immediate requirement so if you have the required skills and experience then please get in touch with an updated copy of your CV. Either apply direct or contact Adam on (phone number removed).
Feb 28, 2026
Full time
Senior Electronics Design Engineer - Glamorgan (Hybrid) - up to 55,000 + Relocation + Benefits - Ref 1990 I am currently recruiting for a Senior Electronics Design Engineer to work for a cutting-edge technology company based in Glamorgan, but on a hybrid basis. Salary up to 55,000 + Relocation + Benefits. The organisation has been in operation for many years and are worldwide leaders within the design, development, and manufacture of their highly intelligent products. As a business they have a very impressive turnover, employ around 250 people and are constantly evolving their legacy products as well as designing and developing new innovative products to bring to market. In line with demand for their products and to support the business with their innovation plans they have the need to create a new role and appoint a Senior Electronics Design Engineer on a permanent basis. In this role as a Senior Electronics Design Engineer, you will responsible for researching, developing, testing and implementing novel technologies and establishing how they could be integrated into the electro mechanical products to innovate their offering, ensuring their products remain superior to their competitors and that they are able to offer the market what they want from a product function perspective with regards to emerging trends. This will be early product research and you'll be working at prototype level, with any viable ideas being transferred across to the design and development team who will further expand upon your concepts with a view of getting them into production. In this role you will be focused on PCB design and schematic capture with a big emphasis on sensors, power supplies / power electronics and programming. Essential Requirements: Experience as an Electronics Design Engineer, Hardware Engineer, Research and Development Engineer or similar At least 3 years' experience Experience with PCB design and schematic capture Experience with Power Electronics / Power Supplies Experience with C,C++ or Python Desirable Requirements: Experience with Sensors Strong Physics understanding / background Experience with Thermal analysis / Modelling PhD Previous experience in Research and Development activities Experience working in a highly regulated environment This is a fantastic opportunity for a Senior Electronics Design Engineer to work for a growing company who are working with some of the most advanced technology available. With the ambitious, but realistic plans the company has forecast there will be lots of opportunities to develop and progress internally if this appeals. This is an immediate requirement so if you have the required skills and experience then please get in touch with an updated copy of your CV. Either apply direct or contact Adam on (phone number removed).
AI Data Scientist
Spaceflux Ltd
Full time London (UK) / Hybrid 20 FEB 2026 AI Data Scientist About Spaceflux Spaceflux is a leading UK-based space situational awareness company operating a global network of optical observatories. We provide critical space domain awareness services to commercial satellite operators and governments. Our Cortex platform leverages advanced AI and machine learning to deliver real time intelligence on the space environment, supporting the safety and sustainability of space operations. Job Overview We are seeking an exceptional AI Data Scientist to join our growing team. In this role, you will develop and deploy cutting edge machine learning solutions for analysing complex astronomical and orbital data. You will work at the intersection of artificial intelligence and space surveillance, building intelligent systems that extract actionable insights from challenging, real world datasets. This is a unique opportunity to apply advanced AI techniques to one of the most demanding data analysis domains: detecting, tracking, and characterising objects in space from ground based observations. Key Responsibilities Design, develop, and deploy AI/ML models for image analysis and object detection in astronomical imagery Build end to end data analysis pipelines that integrate machine learning at scale Develop novel approaches for extracting signals from low signal to noise ratio data Apply and extend techniques for modelling nonlinear dynamical systems Collaborate with software engineers to productionise models within the Cortex platform Work with optical sensor data to improve detection, tracking, and characterisation capabilities Contribute to research and development initiatives, including grant funded projects Contribute to academic supervision of interns and university co sponsored students Stay current with advances in deep learning, computer vision, and relevant scientific domains Requirements Technical Expertise: PhD or MSc in a quantitative discipline (Computer Science, Physics, Mathematics, Engineering, or related field), or equivalent industry experience Demonstrated expertise in image analysis and computer vision, including deep learning approaches (CNNs, transformers, etc.) Proven experience building production grade AI/ML data analysis pipelines from scratch Strong track record working with low signal to noise data and developing robust detection/extraction methods Experience with nonlinear systems modelling and/or time series analysis Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX) Familiarity with MLOps practices and tools for model deployment and monitoring Core Competencies: Strong mathematical foundations in statistics, probability, and optimisation Ability to work independently and drive projects from concept to deployment Excellent problem solving skills and scientific rigour Strong communication skills, with ability to explain complex technical concepts to diverse audiences Experience in space situational awareness (SSA), space domain awareness (SDA), or related fields (e.g., satellite tracking, space surveillance, debris monitoring) Background in orbital mechanics and astrodynamics, including orbit determination and propagation Experience with astronomical image processing and photometry Familiarity with Bayesian inference methods and probabilistic programming Knowledge of simulation based inference or likelihood free methods Experience with sensor fusion or multi modal data integration Prior work in defence, intelligence, or national security contexts Publications in relevant peer reviewed venues What We Offer Opportunity to work on genuinely novel problems at the frontier of AI and space technology Collaborative environment bridging academic research and commercial application Competitive salary commensurate with experience Flexible working arrangements Opportunity to contribute to the safety and sustainability of the space environment Professional development and conference attendance Pension scheme, private health care and other benefits How to Apply Please submit your CV along with a cover letter explaining your interest in the role and relevant experience. We welcome applications from candidates with non traditional backgrounds who can demonstrate the required technical capabilities. Spaceflux Ltd is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Feb 27, 2026
Full time
Full time London (UK) / Hybrid 20 FEB 2026 AI Data Scientist About Spaceflux Spaceflux is a leading UK-based space situational awareness company operating a global network of optical observatories. We provide critical space domain awareness services to commercial satellite operators and governments. Our Cortex platform leverages advanced AI and machine learning to deliver real time intelligence on the space environment, supporting the safety and sustainability of space operations. Job Overview We are seeking an exceptional AI Data Scientist to join our growing team. In this role, you will develop and deploy cutting edge machine learning solutions for analysing complex astronomical and orbital data. You will work at the intersection of artificial intelligence and space surveillance, building intelligent systems that extract actionable insights from challenging, real world datasets. This is a unique opportunity to apply advanced AI techniques to one of the most demanding data analysis domains: detecting, tracking, and characterising objects in space from ground based observations. Key Responsibilities Design, develop, and deploy AI/ML models for image analysis and object detection in astronomical imagery Build end to end data analysis pipelines that integrate machine learning at scale Develop novel approaches for extracting signals from low signal to noise ratio data Apply and extend techniques for modelling nonlinear dynamical systems Collaborate with software engineers to productionise models within the Cortex platform Work with optical sensor data to improve detection, tracking, and characterisation capabilities Contribute to research and development initiatives, including grant funded projects Contribute to academic supervision of interns and university co sponsored students Stay current with advances in deep learning, computer vision, and relevant scientific domains Requirements Technical Expertise: PhD or MSc in a quantitative discipline (Computer Science, Physics, Mathematics, Engineering, or related field), or equivalent industry experience Demonstrated expertise in image analysis and computer vision, including deep learning approaches (CNNs, transformers, etc.) Proven experience building production grade AI/ML data analysis pipelines from scratch Strong track record working with low signal to noise data and developing robust detection/extraction methods Experience with nonlinear systems modelling and/or time series analysis Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX) Familiarity with MLOps practices and tools for model deployment and monitoring Core Competencies: Strong mathematical foundations in statistics, probability, and optimisation Ability to work independently and drive projects from concept to deployment Excellent problem solving skills and scientific rigour Strong communication skills, with ability to explain complex technical concepts to diverse audiences Experience in space situational awareness (SSA), space domain awareness (SDA), or related fields (e.g., satellite tracking, space surveillance, debris monitoring) Background in orbital mechanics and astrodynamics, including orbit determination and propagation Experience with astronomical image processing and photometry Familiarity with Bayesian inference methods and probabilistic programming Knowledge of simulation based inference or likelihood free methods Experience with sensor fusion or multi modal data integration Prior work in defence, intelligence, or national security contexts Publications in relevant peer reviewed venues What We Offer Opportunity to work on genuinely novel problems at the frontier of AI and space technology Collaborative environment bridging academic research and commercial application Competitive salary commensurate with experience Flexible working arrangements Opportunity to contribute to the safety and sustainability of the space environment Professional development and conference attendance Pension scheme, private health care and other benefits How to Apply Please submit your CV along with a cover letter explaining your interest in the role and relevant experience. We welcome applications from candidates with non traditional backgrounds who can demonstrate the required technical capabilities. Spaceflux Ltd is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
rise technical recruitment
Lead UAS Navigation Engineer (SC Cleared)
rise technical recruitment Bristol, Gloucestershire
Lead Navigation & PNT Systems Engineer (SC Cleared) Bristol - 3 days a week onsite Negotiable + Comprehensive Benefits Package This is an excellent opportunity for a subject matter expert in Positioning, Navigation, and Timing (PNT) to join a high-impact team at its inception. Whether you are a specialist in Kalman filtering, GNSS resilience, or novel RF positioning, this role offers the chance to redefine how Unmanned Aircraft Systems (UAS) navigate within the most contested and complex environments. This company is building a dedicated Navigation & PNT capability group focused on the development of resilient, high-integrity technologies. As a foundational hire, you will be at the forefront of navigation capability, ensuring that our autonomous platforms remain operational even when traditional systems fail. In this varied role, you will take ownership of the PNT architecture, moving from high-level design to hands-on implementation. You will design and simulate advanced algorithms tailored for UAS flight profiles, evaluate system performance in GNSS-denied environments through flight test analysis, and support the integration of software with high-grade IMUs and flight control hardware. The ideal candidate will possess a deep technical background in aerospace or robotics. You should be comfortable performing complex error-budget analysis and have a passion for solving the "GNSS-denied" challenge using non-traditional methods like Vision-Based Navigation (VBN) or Terrain Referenced Navigation (TRN). This is a fantastic opportunity to act as a technical authority within the program and work in a collaborative, cross-functional environment, alongside Flight Control and Mission Systems engineers to deliver a cohesive, world-class navigation suite. The Role: Develop advanced navigation fusion (EKF/UKF) and resilient GNSS algorithms. Define modular "Plug and Play" PNT architectures for UAS platforms. Conduct GNSS-denied simulation and Hardware-in-the-Loop (HIL) testing. Provide technical authority and roadmap guidance for PNT capabilities. The Person: Degree-qualified in Aerospace/Robotics with deep sensor fusion expertise. Proven experience in GNSS-denied navigation (UAS, Missiles, or Robotics). Highly proficient in modelling, simulation, and complex error-budget analysis. Must be eligible for UK SC Clearance. Reference Number: BBBH(phone number removed) Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
Feb 26, 2026
Full time
Lead Navigation & PNT Systems Engineer (SC Cleared) Bristol - 3 days a week onsite Negotiable + Comprehensive Benefits Package This is an excellent opportunity for a subject matter expert in Positioning, Navigation, and Timing (PNT) to join a high-impact team at its inception. Whether you are a specialist in Kalman filtering, GNSS resilience, or novel RF positioning, this role offers the chance to redefine how Unmanned Aircraft Systems (UAS) navigate within the most contested and complex environments. This company is building a dedicated Navigation & PNT capability group focused on the development of resilient, high-integrity technologies. As a foundational hire, you will be at the forefront of navigation capability, ensuring that our autonomous platforms remain operational even when traditional systems fail. In this varied role, you will take ownership of the PNT architecture, moving from high-level design to hands-on implementation. You will design and simulate advanced algorithms tailored for UAS flight profiles, evaluate system performance in GNSS-denied environments through flight test analysis, and support the integration of software with high-grade IMUs and flight control hardware. The ideal candidate will possess a deep technical background in aerospace or robotics. You should be comfortable performing complex error-budget analysis and have a passion for solving the "GNSS-denied" challenge using non-traditional methods like Vision-Based Navigation (VBN) or Terrain Referenced Navigation (TRN). This is a fantastic opportunity to act as a technical authority within the program and work in a collaborative, cross-functional environment, alongside Flight Control and Mission Systems engineers to deliver a cohesive, world-class navigation suite. The Role: Develop advanced navigation fusion (EKF/UKF) and resilient GNSS algorithms. Define modular "Plug and Play" PNT architectures for UAS platforms. Conduct GNSS-denied simulation and Hardware-in-the-Loop (HIL) testing. Provide technical authority and roadmap guidance for PNT capabilities. The Person: Degree-qualified in Aerospace/Robotics with deep sensor fusion expertise. Proven experience in GNSS-denied navigation (UAS, Missiles, or Robotics). Highly proficient in modelling, simulation, and complex error-budget analysis. Must be eligible for UK SC Clearance. Reference Number: BBBH(phone number removed) Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
Principal Data Architect February 13, 2026
Chemify Ltd
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
Echo Labs - Director of Modelling
Kubelt
Introduction Echo Labs is building a scientific, and technical foundation for ecological intelligence: a multimodal system to measure, model, and forecast Ecosystem Condition as a dynamic property. We are a collaborative and interdisciplinary team of scientists and engineers engaged in a planetary moonshot - with a public good mission, operating like a start up. We are a new Focused Research Organization (FRO) supported by Convergent Research and funded by the Advanced Research and Invention Agency to pursue high-risk, high-reward science in the public interest. About this role Echo Labs is seeking a Director of Modelling to design and build the data pipelines and modelling infrastructure that translate raw ecological signals into testable models of ecosystem condition. You will help turn ecological hypotheses into experiments, experiments into validated models, and validated models into decision-grade outputs. As we explore what is possible with new measures and representations of ecosystem state, you will be responsible for evaluating progress. You will help define success in a system that is complex to model using results that are challenging to interpret. This role reports to the Chief Technology Officer and works in close partnership with the Chief Science Officer. This is a rare opportunity to architect the conceptual and technical frameworks that define how ecosystems are measured and modelled. Core Responsibilities Experiment design & strategy: Design experiments that isolate signal from noise in ecological data, and design tests that can increment progress forward when results are ambiguous. Work with the CTO to prioritize intermediate outputs, publication opportunities, and risks. Work iteratively with the CSO to test and refine modelling approaches and uncertainty quantification that can be interpreted in ecological context. Define a standardization strategy that ensures model comparability across ecosystems and geographies. Research execution: Translate ecological hypotheses from the CSO into testable ML experiments. Implement, train, and evaluate models that characterise ecosystem condition across multiple measurement modalities. This will range from implementing classic machine learning to fine-tuning modern deep learning models. Contribute to research outputs: white papers, technical documentation, and peer-reviewed publications. Maintain infrastructure: Working with a growing team under your management, you will develop and maintain the technical stack to ensure reproducible, rapid experimentation. Team and growth: Work with the leadership team to hire and lead additional engineers and data scientists. Evaluate and communicate needs and opportunities to creatively accelerate progress. Establish technical standards, code review practices, and documentation norms. Profile (You Have) 8+ years in machine learning, data engineering, or applied research with end-to-end system ownership. Track record with machine learning infrastructure and experiment tracking, model versioning, reproducible pipelines. Experience with multimodal data. At minimum two of time-series sensor data, audio/acoustic data, imagery, or geospatial/remote sensing. Experience with cloud platforms (AWS or GCP) and MLOps tooling. Demonstrated ability to scope problems, make architectural decisions, and deliver without close supervision. Strong scientific communication. You have the ability to explain technical choices across domains and document work for reproducibility. Highly Valued Experience Background in ecology, environmental science, Earth observation, or prior work with ecological datasets. Prior work with bioacoustic data, eDNA, or biodiversity monitoring systems. Experience hiring and managing technical teams at early-stage organizations. Contributions to open-source ML or scientific software projects. Progression In the first six months, you'll help deliver an architecture for Echo's modeling platform. Core data pipelines will be operational using previously-generated datasets. First experiments are running to explore how ecosystem condition can be characterized across dimensions of ecosystem condition defined in conjunction with the CSO and integrating feedback from expert workshops. Initial technical documentation and reproducibility standards in place. You have an idea of what first major research outputs (white papers or publications) will be and how to communicate them. Hiring plan for technical team defined. Outro We're bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. We are committed to creating an inclusive and diverse workplace where everyone has the opportunity to thrive. We believe in hiring individuals based on their unique talents-not on race, color, religion, ethnicity, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by law or our company policies. We are more than a proud Equal Employment Opportunity employer. Our goal is to foster a healthy, safe, and respectful environment where all employees are valued and treated with dignity. 145000 - 168000 GBP a year Title commensurate with experience: Senior Director / Chief Technology Officer possible. Bonus: Performance-based
Feb 26, 2026
Full time
Introduction Echo Labs is building a scientific, and technical foundation for ecological intelligence: a multimodal system to measure, model, and forecast Ecosystem Condition as a dynamic property. We are a collaborative and interdisciplinary team of scientists and engineers engaged in a planetary moonshot - with a public good mission, operating like a start up. We are a new Focused Research Organization (FRO) supported by Convergent Research and funded by the Advanced Research and Invention Agency to pursue high-risk, high-reward science in the public interest. About this role Echo Labs is seeking a Director of Modelling to design and build the data pipelines and modelling infrastructure that translate raw ecological signals into testable models of ecosystem condition. You will help turn ecological hypotheses into experiments, experiments into validated models, and validated models into decision-grade outputs. As we explore what is possible with new measures and representations of ecosystem state, you will be responsible for evaluating progress. You will help define success in a system that is complex to model using results that are challenging to interpret. This role reports to the Chief Technology Officer and works in close partnership with the Chief Science Officer. This is a rare opportunity to architect the conceptual and technical frameworks that define how ecosystems are measured and modelled. Core Responsibilities Experiment design & strategy: Design experiments that isolate signal from noise in ecological data, and design tests that can increment progress forward when results are ambiguous. Work with the CTO to prioritize intermediate outputs, publication opportunities, and risks. Work iteratively with the CSO to test and refine modelling approaches and uncertainty quantification that can be interpreted in ecological context. Define a standardization strategy that ensures model comparability across ecosystems and geographies. Research execution: Translate ecological hypotheses from the CSO into testable ML experiments. Implement, train, and evaluate models that characterise ecosystem condition across multiple measurement modalities. This will range from implementing classic machine learning to fine-tuning modern deep learning models. Contribute to research outputs: white papers, technical documentation, and peer-reviewed publications. Maintain infrastructure: Working with a growing team under your management, you will develop and maintain the technical stack to ensure reproducible, rapid experimentation. Team and growth: Work with the leadership team to hire and lead additional engineers and data scientists. Evaluate and communicate needs and opportunities to creatively accelerate progress. Establish technical standards, code review practices, and documentation norms. Profile (You Have) 8+ years in machine learning, data engineering, or applied research with end-to-end system ownership. Track record with machine learning infrastructure and experiment tracking, model versioning, reproducible pipelines. Experience with multimodal data. At minimum two of time-series sensor data, audio/acoustic data, imagery, or geospatial/remote sensing. Experience with cloud platforms (AWS or GCP) and MLOps tooling. Demonstrated ability to scope problems, make architectural decisions, and deliver without close supervision. Strong scientific communication. You have the ability to explain technical choices across domains and document work for reproducibility. Highly Valued Experience Background in ecology, environmental science, Earth observation, or prior work with ecological datasets. Prior work with bioacoustic data, eDNA, or biodiversity monitoring systems. Experience hiring and managing technical teams at early-stage organizations. Contributions to open-source ML or scientific software projects. Progression In the first six months, you'll help deliver an architecture for Echo's modeling platform. Core data pipelines will be operational using previously-generated datasets. First experiments are running to explore how ecosystem condition can be characterized across dimensions of ecosystem condition defined in conjunction with the CSO and integrating feedback from expert workshops. Initial technical documentation and reproducibility standards in place. You have an idea of what first major research outputs (white papers or publications) will be and how to communicate them. Hiring plan for technical team defined. Outro We're bringing together top talent from academia, industry, and startups to build a new model for innovative R&D. We are committed to creating an inclusive and diverse workplace where everyone has the opportunity to thrive. We believe in hiring individuals based on their unique talents-not on race, color, religion, ethnicity, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by law or our company policies. We are more than a proud Equal Employment Opportunity employer. Our goal is to foster a healthy, safe, and respectful environment where all employees are valued and treated with dignity. 145000 - 168000 GBP a year Title commensurate with experience: Senior Director / Chief Technology Officer possible. Bonus: Performance-based
Saab UK
Lead Power Electronics Design Engineer
Saab UK Fareham, Hampshire
Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. What you will be part of: Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters. Saab is a leading defence and security company with an enduring mission, to help nations keep their people and society safe. Empowered by its 26,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defence capability of several nations. Read more about us here. The Role: This role will be a part of our Saab Seaeye business in Fareham. In this role you will take responsibility for the full-lifecycle design and development of bespoke power conversion and transmission solutions in line with the company's business needs through innovation, creativity and professionalism. As Lead Engineer you will act as Technical Authority for concurrent power projects: from in-house designs to outsourced specification and management. Key Responsibilities: The role seeks an engineer with excellent knowledge of power architectures, transmission, conversion and distribution, whilst having an appreciation for the real-world subtleties involved in creating robust and reliable power systems. You may be working on anything from large-scale power conversion products, efficient cabled transmission designs all the way through to motor drives and low voltage converters. Our voltages range from 24V to 5000V with powers from 500W to 250kW. You will be responsible for the successful design, implementation and delivery into our products. This may include technically leading small multi-disciplinary teams and therefore the candidate must show an aptitude for directing and coordinating project activities and have strong communication/interpersonal skills. A product-focussed mindset is essential: taking a view across the different engineering disciplines to deliver the most appropriate solution. Our products provide unique challenges in designing non-conventional solutions which can meet size, weight and efficiency demands. Qualifications and Skills: Essential: Significant Experience in Power Electronics Full-lifecycle experience: from concept to tested solution Self-starter: taking the lead and having a proactive mindset Excellent theoretical knowledge backed up by proven hands-on experience Proven knowledge of power transmission: AC and DC, applied to multi-km cabled solutions Proven Knowledge of DC converter topologies: Buck/Boost/Flyback/LLC/Full-Bridge Proven Knowledge of AC converter techniques: single phase/multiphase, power factor correction Experience of power converter product design AC-DC, DC-DC and DC-AC inverters Experience working with power switching devices: MOSFET, IGBT, SiCFET, GaNFET and associated drive circuitry Experience working with voltages up to 5kV and multi-kW powers Experience in designing or specifying custom transformer and magnetic components Experience using modelling and simulation packages Experience in both digital and analogue design concepts Experience of filter design and implementation Experience designing/specifying control systems for power conversion Knowledge of thermal management techniques Knowledge of design-for-compliance Experience developing requirements specifications and test procedures Experience of System level integration and testing Desirable: High Voltage Experience up to 5kV Thermal modelling experience Motor design principles and control techniques Embedded-C programming By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
Feb 23, 2026
Full time
Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. What you will be part of: Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters. Saab is a leading defence and security company with an enduring mission, to help nations keep their people and society safe. Empowered by its 26,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defence capability of several nations. Read more about us here. The Role: This role will be a part of our Saab Seaeye business in Fareham. In this role you will take responsibility for the full-lifecycle design and development of bespoke power conversion and transmission solutions in line with the company's business needs through innovation, creativity and professionalism. As Lead Engineer you will act as Technical Authority for concurrent power projects: from in-house designs to outsourced specification and management. Key Responsibilities: The role seeks an engineer with excellent knowledge of power architectures, transmission, conversion and distribution, whilst having an appreciation for the real-world subtleties involved in creating robust and reliable power systems. You may be working on anything from large-scale power conversion products, efficient cabled transmission designs all the way through to motor drives and low voltage converters. Our voltages range from 24V to 5000V with powers from 500W to 250kW. You will be responsible for the successful design, implementation and delivery into our products. This may include technically leading small multi-disciplinary teams and therefore the candidate must show an aptitude for directing and coordinating project activities and have strong communication/interpersonal skills. A product-focussed mindset is essential: taking a view across the different engineering disciplines to deliver the most appropriate solution. Our products provide unique challenges in designing non-conventional solutions which can meet size, weight and efficiency demands. Qualifications and Skills: Essential: Significant Experience in Power Electronics Full-lifecycle experience: from concept to tested solution Self-starter: taking the lead and having a proactive mindset Excellent theoretical knowledge backed up by proven hands-on experience Proven knowledge of power transmission: AC and DC, applied to multi-km cabled solutions Proven Knowledge of DC converter topologies: Buck/Boost/Flyback/LLC/Full-Bridge Proven Knowledge of AC converter techniques: single phase/multiphase, power factor correction Experience of power converter product design AC-DC, DC-DC and DC-AC inverters Experience working with power switching devices: MOSFET, IGBT, SiCFET, GaNFET and associated drive circuitry Experience working with voltages up to 5kV and multi-kW powers Experience in designing or specifying custom transformer and magnetic components Experience using modelling and simulation packages Experience in both digital and analogue design concepts Experience of filter design and implementation Experience designing/specifying control systems for power conversion Knowledge of thermal management techniques Knowledge of design-for-compliance Experience developing requirements specifications and test procedures Experience of System level integration and testing Desirable: High Voltage Experience up to 5kV Thermal modelling experience Motor design principles and control techniques Embedded-C programming By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.
SRG
Senior Digital Technologist
SRG Sedgefield, County Durham
Job Title: Senior Digital Technologist Employment Type: Full-Time, Permanent Salary: Up to 52,000 per annum (Depending on experience) Location: Northeast England (Hybrid role) We are working with a highly innovative organisation tasked to bring the UK to the forefront of innovation. This role sits within the Digital and Automation team and we are looking for a technical leader at the intersection of domain science and data science who has strong experience of developing Collaborative Research and Development (CR&D) bids. This experience will be vital to support the business in solving complex problems in the formulation industries including pharmaceuticals, batteries, sustainability, nanotherapeutics, home and personal care, and food and feed. Using your background, you will, actively, and successfully, lead initiatives related to business development and collaborative research funding of which prior experience is an imperative. The Role: To plan, undertake, and lead digital projects. To drive business and project growth using our digital capabilities. To partner with relevant functions of the organisation, the automation team and other formulation teams, to build, advance and make digital capabilities available within the organisation. Predictive Modelling & Machine Learning:Applying techniques such as model predictive control, PCA, clustering, PLS, and neural networks to optimize formulation development and predict material properties. Soft Sensors & Real-Time Process Analytics: Developing soft sensors and edge-sensing solutions to monitor particle size, viscosity, and other critical inline measurements for smarter, data-driven manufacturing. Data Automation, Scripting & Visualization: Leveraging automated data processing, scripting, and interactive visualization to uncover insights, streamline workflows, and support sustainability goals. Design of Experiments & Bayesian Optimization: Implementing Bayesian and state-of-the-art approaches to maximize experiment efficiency and accelerate material and process development. Materials Informatics & AI-Assisted Formulation: Using clustering, correlation analysis, and AI to identify best candidates for new materials, predict stability, and guide formulation decisions. Robotic Lab Automation: Designing intelligent robotic workflows that combine cobot programming with machine vision and data-driven models to automate laboratory actions, enhance process monitoring, and support real-time decision-making. Knowledge Management & Enterprise Systems: Developing ontologies, knowledge graphs, and robust database/version control systems to support reproducible research and enterprise-scale data integration. Required experience: Educated to a minimum of a foundation degree (or equivalent) in a Scientific/Mathematical/Engineering discipline, with industrial/academic experience at a senior level. Significant, technical expertise in data science and evidence of complex technical problem-solving where it is necessary to use own initiative and judgement. Hold significant knowledge and experience of coding languages typically used for data science (e.g. python, R, MATLAB). Able to support/generate commercial and collaborative business on behalf the automation and digital team. Exhibit professional mastery of principles and practices in data science techniques gained through your career to date in an area of specialism. Demonstrate in-depth technical and theoretical knowledge in mathematics related to data science and is viewed as a specialist in this area by peers. SRG are the UK number 1 recruitment company specialising in the science, engineering, clinical, pharmaceutical, food/FMCG, renewable, biotech, chemicals and medical devices sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. If you have a scientific background and this position is not relevant / suitable for you please feel free to get in touch or visit (url removed) to view our other vacancies. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Feb 20, 2026
Full time
Job Title: Senior Digital Technologist Employment Type: Full-Time, Permanent Salary: Up to 52,000 per annum (Depending on experience) Location: Northeast England (Hybrid role) We are working with a highly innovative organisation tasked to bring the UK to the forefront of innovation. This role sits within the Digital and Automation team and we are looking for a technical leader at the intersection of domain science and data science who has strong experience of developing Collaborative Research and Development (CR&D) bids. This experience will be vital to support the business in solving complex problems in the formulation industries including pharmaceuticals, batteries, sustainability, nanotherapeutics, home and personal care, and food and feed. Using your background, you will, actively, and successfully, lead initiatives related to business development and collaborative research funding of which prior experience is an imperative. The Role: To plan, undertake, and lead digital projects. To drive business and project growth using our digital capabilities. To partner with relevant functions of the organisation, the automation team and other formulation teams, to build, advance and make digital capabilities available within the organisation. Predictive Modelling & Machine Learning:Applying techniques such as model predictive control, PCA, clustering, PLS, and neural networks to optimize formulation development and predict material properties. Soft Sensors & Real-Time Process Analytics: Developing soft sensors and edge-sensing solutions to monitor particle size, viscosity, and other critical inline measurements for smarter, data-driven manufacturing. Data Automation, Scripting & Visualization: Leveraging automated data processing, scripting, and interactive visualization to uncover insights, streamline workflows, and support sustainability goals. Design of Experiments & Bayesian Optimization: Implementing Bayesian and state-of-the-art approaches to maximize experiment efficiency and accelerate material and process development. Materials Informatics & AI-Assisted Formulation: Using clustering, correlation analysis, and AI to identify best candidates for new materials, predict stability, and guide formulation decisions. Robotic Lab Automation: Designing intelligent robotic workflows that combine cobot programming with machine vision and data-driven models to automate laboratory actions, enhance process monitoring, and support real-time decision-making. Knowledge Management & Enterprise Systems: Developing ontologies, knowledge graphs, and robust database/version control systems to support reproducible research and enterprise-scale data integration. Required experience: Educated to a minimum of a foundation degree (or equivalent) in a Scientific/Mathematical/Engineering discipline, with industrial/academic experience at a senior level. Significant, technical expertise in data science and evidence of complex technical problem-solving where it is necessary to use own initiative and judgement. Hold significant knowledge and experience of coding languages typically used for data science (e.g. python, R, MATLAB). Able to support/generate commercial and collaborative business on behalf the automation and digital team. Exhibit professional mastery of principles and practices in data science techniques gained through your career to date in an area of specialism. Demonstrate in-depth technical and theoretical knowledge in mathematics related to data science and is viewed as a specialist in this area by peers. SRG are the UK number 1 recruitment company specialising in the science, engineering, clinical, pharmaceutical, food/FMCG, renewable, biotech, chemicals and medical devices sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. If you have a scientific background and this position is not relevant / suitable for you please feel free to get in touch or visit (url removed) to view our other vacancies. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Unify
Guidance & Control Software Engineer
Unify Mill Hill, Dumfriesshire
Guidance & Control Software Engineer (Interception Systems) Location: North London - Hybrid Type: Contract - Outside IR35 Rate: Starting at 50 per hour DOE About the Role Our client develops advanced autonomous weapon and interception technologies designed for high-speed target engagement in contested environments. The programme centres on a vision-guided one-way aerial system capable of autonomously detecting, tracking, and intercepting manoeuvring objects. The software architecture combines real-time perception with predictive guidance and control. This role will be central to the development of the onboard flight and guidance stack, implementing estimation, tracking and control algorithms in performance-critical C++ code. The engineer will work closely with perception, simulation and hardware teams to ensure reliable terminal behaviour under real-world conditions. The Guidance & Control Software Engineer position suits an engineer with experience in missile guidance, air defence, seekers, or high-dynamic autonomous vehicles rather than conventional UAV autopilot development. Key Responsibilities Guidance & Control Develop predictive guidance and control algorithms for autonomous interception Implement proportional navigation, pursuit guidance or equivalent terminal control laws Design trajectory prediction and time-to-impact logic for manoeuvring targets Integrate perception outputs into stable closed-loop control behaviour Tune and validate behaviour across dynamic envelopes and degraded sensing conditions Estimation & Tracking Develop state estimation and tracking filters (e.g. Kalman based approaches) Handle uncertain and intermittent measurement data Fuse onboard sensors and vision-derived measurements Prevent divergence and oscillatory behaviour in terminal phase Software Implementation Implement real-time flight software in modern C++ Optimise performance for embedded compute constraints Support hardware-in-the-loop and simulation environments Work with safety-critical and deterministic execution constraints Integration & Testing Collaborate with perception and simulation engineers Analyse flight logs and engagement performance Support ground and flight trials Debug instability, tracking loss, and intercept miss distance issues Behaviours Analytical and physics-driven problem solving Comfortable working with incomplete or ambiguous data Collaborative across perception, hardware and systems teams Pragmatic and delivery focused Ownership mindset with strong accountability Calm under test and trial pressure Qualifications and Experience Strong C++ experience in embedded or real-time systems Background in guidance, navigation and control, tracking, or estimation Experience with high dynamic autonomous or weapon systems Understanding of control laws and dynamic stability Experience working with real sensor data rather than purely simulated environments Familiarity with modelling or simulation environments desirable Knowledge of vision-based navigation or target tracking beneficial Degree in Aerospace Engineering, Control Systems, Robotics, Physics, Mathematics or similar Eligibility to work on defence related programmes in the UK (SC Cleared / 5 years residency in the UK)
Feb 20, 2026
Contractor
Guidance & Control Software Engineer (Interception Systems) Location: North London - Hybrid Type: Contract - Outside IR35 Rate: Starting at 50 per hour DOE About the Role Our client develops advanced autonomous weapon and interception technologies designed for high-speed target engagement in contested environments. The programme centres on a vision-guided one-way aerial system capable of autonomously detecting, tracking, and intercepting manoeuvring objects. The software architecture combines real-time perception with predictive guidance and control. This role will be central to the development of the onboard flight and guidance stack, implementing estimation, tracking and control algorithms in performance-critical C++ code. The engineer will work closely with perception, simulation and hardware teams to ensure reliable terminal behaviour under real-world conditions. The Guidance & Control Software Engineer position suits an engineer with experience in missile guidance, air defence, seekers, or high-dynamic autonomous vehicles rather than conventional UAV autopilot development. Key Responsibilities Guidance & Control Develop predictive guidance and control algorithms for autonomous interception Implement proportional navigation, pursuit guidance or equivalent terminal control laws Design trajectory prediction and time-to-impact logic for manoeuvring targets Integrate perception outputs into stable closed-loop control behaviour Tune and validate behaviour across dynamic envelopes and degraded sensing conditions Estimation & Tracking Develop state estimation and tracking filters (e.g. Kalman based approaches) Handle uncertain and intermittent measurement data Fuse onboard sensors and vision-derived measurements Prevent divergence and oscillatory behaviour in terminal phase Software Implementation Implement real-time flight software in modern C++ Optimise performance for embedded compute constraints Support hardware-in-the-loop and simulation environments Work with safety-critical and deterministic execution constraints Integration & Testing Collaborate with perception and simulation engineers Analyse flight logs and engagement performance Support ground and flight trials Debug instability, tracking loss, and intercept miss distance issues Behaviours Analytical and physics-driven problem solving Comfortable working with incomplete or ambiguous data Collaborative across perception, hardware and systems teams Pragmatic and delivery focused Ownership mindset with strong accountability Calm under test and trial pressure Qualifications and Experience Strong C++ experience in embedded or real-time systems Background in guidance, navigation and control, tracking, or estimation Experience with high dynamic autonomous or weapon systems Understanding of control laws and dynamic stability Experience working with real sensor data rather than purely simulated environments Familiarity with modelling or simulation environments desirable Knowledge of vision-based navigation or target tracking beneficial Degree in Aerospace Engineering, Control Systems, Robotics, Physics, Mathematics or similar Eligibility to work on defence related programmes in the UK (SC Cleared / 5 years residency in the UK)

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