The Role: We are seeking an experienced and motivated Senior Mechanical Simulation Engineer to lead the design, simulation, and optimization of precision opto mechanical systems and advanced substrate structures critical to the performance of Olix's Optical Tensor Processing Units (OTPUs). This role is ideal for an engineer with a strong background in mechanical design, finite element analysis (FEA), substrate stack up design, and thermo mechanical reliability. You will drive simulation led development of precision assemblies and materials that meet demanding thermal, mechanical, and reliability targets. You will collaborate closely with optical, electrical, and materials teams to ensure designs deliver outstanding stability, thermal performance, and structural integrity during manufacturing and operation. Responsibilities: Design and develop mechanical assemblies such as substrates for high performance optical and computing systems. Define and optimize substrate stack ups, balancing mechanical stability, warpage control, thermal dissipation, and integration requirements. Conduct finite element analyses (FEA) to evaluate stress, strain, warpage, and finite element analyses (FEA). Execute thermo mechanical simulations to assess material deformation, stress evolution, and structural response under varying loads and temperatures, including effects during assembly, solder reflow, and system level integration. Perform ageing and life cycle simulations to model long term material degradation, creep, fatigue, and stress relaxation over extended operational lifetimes. Lead material selection and evaluation to meet mechanical, thermal, and reliability needs - balancing CTE compatibility, stiffness, and thermal conductivity with manufacturability and cost. Apply expertise in substrate materials (ABF, BT, ceramics, and organics) to achieve optimized mechanical and thermal performance. Develop and correlate simulation models with empirical testing (e.g., thermal cycling, vibration, and temperature-humidity bias) to validate predictions and improve design accuracy. Collaborate across disciplines to co optimize substrate stack ups, thermal interfaces, and mechanical assemblies for stability and manufacturability. Interface with vendors and manufacturing partners to define mechanical specifications, tolerances, and material standards. Automate and standardize simulation workflows using ANSYS, Abaqus, or COMSOL, ensuring consistency and efficiency. Document simulation methodologies, assumptions, and recommendations for design iteration and technical communication. Skills & Experience: 7+ years of experience in mechanical design and simulation, ideally within opto mechanical systems, electronics enclosures, or advanced materials applications. Proven expertise in substrate stack up design - understanding of material interactions, thermal mismatch, and mechanical coupling. Demonstrated proficiency in FEA and thermo mechanical modeling for complex 3D structures. Experience performing ageing simulations to assess creep, fatigue, and time dependent material behavior. Strong understanding of material properties - including CTE, elastic modulus, Poisson's ratio, and thermal conductivity - and their impact on performance and reliability. Proficiency in SolidWorks for mechanical modeling and ANSYS, Abaqus, or COMSOL for multiphysics simulation. Experience with warpage mitigation, thermal management, and assembly level stress analysis. Familiarity with DFM/DFR principles, reliability testing, and integration process constraints. Strong analytical, problem solving, and communication skills with the ability to translate simulation data into design improvements. Bachelor's degree in Mechanical Engineering, Materials Science, or related field; Master's or PhD preferred. Compensation and Benefits: Competitive salary ranging from £95,000 - £132,000 +, depending on experience. Competitive salary and stock options, you're not just part of the journey, you will own a piece of it. Work from our HQ in King's Cross, right in the middle of London's buzzing AI scene. Live within 45 minutes of the office? Perfect. Live within 20 minutes? We'll add an extra £24,000 a year to your salary. We offer visa sponsorship and full relocation support (UK and abroad), through a dedicated third party provider who are on hand to make your move to London as seamless as possible. Full BUPA healthcare and dental cover, medical history disregarded. High spec tech for everyone - M4 Macs as standard, M4 Pros for Engineers. Sony noise cancelling headphones and ergonomic setups to keep you comfortable and focused. Personal company card to spend on tools that help you do your job - like ChatGPT Pro or anything else that boosts your workflow. Healthy, chef cooked dinners in the office every night, with something for every diet and tastebud. Monthly off site team socials. 25 days of paid holiday, plus all the UK bank holidays. Access to our in house 3D printer for personal or work projects. Cycle2work scheme. Need a caffeine fix? We've got you covered with a tab at our favourite local coffee shop. We offer a pension plan and salary sacrifice options. We do not accept unsolicited CVs from recruitment agencies, will not be liable for any fees, and prohibit unauthorised use of our company name in recruitment activities.
Feb 23, 2026
Full time
The Role: We are seeking an experienced and motivated Senior Mechanical Simulation Engineer to lead the design, simulation, and optimization of precision opto mechanical systems and advanced substrate structures critical to the performance of Olix's Optical Tensor Processing Units (OTPUs). This role is ideal for an engineer with a strong background in mechanical design, finite element analysis (FEA), substrate stack up design, and thermo mechanical reliability. You will drive simulation led development of precision assemblies and materials that meet demanding thermal, mechanical, and reliability targets. You will collaborate closely with optical, electrical, and materials teams to ensure designs deliver outstanding stability, thermal performance, and structural integrity during manufacturing and operation. Responsibilities: Design and develop mechanical assemblies such as substrates for high performance optical and computing systems. Define and optimize substrate stack ups, balancing mechanical stability, warpage control, thermal dissipation, and integration requirements. Conduct finite element analyses (FEA) to evaluate stress, strain, warpage, and finite element analyses (FEA). Execute thermo mechanical simulations to assess material deformation, stress evolution, and structural response under varying loads and temperatures, including effects during assembly, solder reflow, and system level integration. Perform ageing and life cycle simulations to model long term material degradation, creep, fatigue, and stress relaxation over extended operational lifetimes. Lead material selection and evaluation to meet mechanical, thermal, and reliability needs - balancing CTE compatibility, stiffness, and thermal conductivity with manufacturability and cost. Apply expertise in substrate materials (ABF, BT, ceramics, and organics) to achieve optimized mechanical and thermal performance. Develop and correlate simulation models with empirical testing (e.g., thermal cycling, vibration, and temperature-humidity bias) to validate predictions and improve design accuracy. Collaborate across disciplines to co optimize substrate stack ups, thermal interfaces, and mechanical assemblies for stability and manufacturability. Interface with vendors and manufacturing partners to define mechanical specifications, tolerances, and material standards. Automate and standardize simulation workflows using ANSYS, Abaqus, or COMSOL, ensuring consistency and efficiency. Document simulation methodologies, assumptions, and recommendations for design iteration and technical communication. Skills & Experience: 7+ years of experience in mechanical design and simulation, ideally within opto mechanical systems, electronics enclosures, or advanced materials applications. Proven expertise in substrate stack up design - understanding of material interactions, thermal mismatch, and mechanical coupling. Demonstrated proficiency in FEA and thermo mechanical modeling for complex 3D structures. Experience performing ageing simulations to assess creep, fatigue, and time dependent material behavior. Strong understanding of material properties - including CTE, elastic modulus, Poisson's ratio, and thermal conductivity - and their impact on performance and reliability. Proficiency in SolidWorks for mechanical modeling and ANSYS, Abaqus, or COMSOL for multiphysics simulation. Experience with warpage mitigation, thermal management, and assembly level stress analysis. Familiarity with DFM/DFR principles, reliability testing, and integration process constraints. Strong analytical, problem solving, and communication skills with the ability to translate simulation data into design improvements. Bachelor's degree in Mechanical Engineering, Materials Science, or related field; Master's or PhD preferred. Compensation and Benefits: Competitive salary ranging from £95,000 - £132,000 +, depending on experience. Competitive salary and stock options, you're not just part of the journey, you will own a piece of it. Work from our HQ in King's Cross, right in the middle of London's buzzing AI scene. Live within 45 minutes of the office? Perfect. Live within 20 minutes? We'll add an extra £24,000 a year to your salary. We offer visa sponsorship and full relocation support (UK and abroad), through a dedicated third party provider who are on hand to make your move to London as seamless as possible. Full BUPA healthcare and dental cover, medical history disregarded. High spec tech for everyone - M4 Macs as standard, M4 Pros for Engineers. Sony noise cancelling headphones and ergonomic setups to keep you comfortable and focused. Personal company card to spend on tools that help you do your job - like ChatGPT Pro or anything else that boosts your workflow. Healthy, chef cooked dinners in the office every night, with something for every diet and tastebud. Monthly off site team socials. 25 days of paid holiday, plus all the UK bank holidays. Access to our in house 3D printer for personal or work projects. Cycle2work scheme. Need a caffeine fix? We've got you covered with a tab at our favourite local coffee shop. We offer a pension plan and salary sacrifice options. We do not accept unsolicited CVs from recruitment agencies, will not be liable for any fees, and prohibit unauthorised use of our company name in recruitment activities.
UKRI Salary: £58,589 per annum. Band: UKRI Band F. Contract Type: 3 Year Fixed Term (With possibility of extension) Hours: Full Time or Part Time. (Minimum 0.8 FTE) Location: While UKRI supports hybrid working, the postholder will be required to attend one in-office team day per week at Polaris House in Swindon, Wiltshire. Closing Date: Sunday 15 March 2026. Proposed Interview Date: Interviews are likely to be week commencing 06 and 13 April 2026. Employees applying for any opportunity which may mean being away from your substantive role for a temporary period of time, please refer to the Recruitment Policy and associated guidance for further information in the first instance. If you are made an offer, please ensure you liaise with your line manager and the designated HR team as soon as possible in order that implications of any move are clear and understood, prior to a move taking place. About the role We are looking for a Head of Service Delivery to join the UKRI Infrastructure Team and play a pivotal role in delivering the Next National Supercomputing Service (NNSS): the £750m project to ensure the UK scientific community retains access to the most advanced modelling and simulation capabilities through provision of state-of-the-art compute hardware at the University of Edinburgh and service provision and software services to support users. The NNSS is the cornerstone investment at the heart of the DSIT-UKRI compute roadmap, and a high-priority strategic investment for the UK government. The Digital Research Infrastructure, Infrastructure Fund and Portfolio pillars form the cross-cutting UKRI Infrastructure Team that coordinates and manages UKRI's Infrastructure portfolio. You will collaborate across the organisation and externally, engaging with relevant stakeholders in Government Departments, Public Sector Research Establishments (PSREs), academia and industry to gather insight and ensure that UKRI's plans for Digital Research Infrastructure (DRI) enable our varied communities to use the most powerful digital tools and techniques. This role will be critical to successful delivery of the new service. You will work closely with the service providers, leading on successful implementation and management of the hardware and service provision contracts. You will lead on monitoring and evaluation to ensure the service fully delivers its intended benefits, as well as proactively looking for opportunities for continuous improvement, drawing on best practices from across the sector and major project management. We encourage candidates with an interest and knowledge in large-scale compute and related aspects of DRI to apply for this position: relevant experience might have been gained from several different types of career path or educational background. It is likely that the successful candidate will have the opportunity to work for periods with other policy or technical teams within UKRI to enhance the knowledge needed for their work. For further information, please contact Richard Gunn, DRI Programme Director () or Luke Davis, Associate Director for Computational Services (). Your responsibilities Ensuring that the NNSS service providers fulfil their agreed service requirements and managing any changes, including grant funding and/or contractual issues. Ensuring successful implementation of agreed governance, advisory and management structures, including coordination of the service providers. Ensuring that the NNSS service is effectively integrated within UKRI and DSIT's broader support for the compute ecosystem, including coordination with related initiatives such as National Compute Resources (NCRs) and EuroHPC and proactively seeking opportunities for improvement. Supporting the Head of Policy & Engagement in implementation, monitoring and evaluation of the NNSS service model to ensure successful delivery, including liaison with the host site, technology provider and other stakeholders involved in delivering the service. Driving working level relationships with infrastructure leads in government, the service providers and other key stakeholders. Developing an understanding of, and communicating, how our work aligns with and supports key national policies. Supporting the delivery of time-bound strategic projects within the UKRI Infrastructure team. Person Specification The following criteria will be assessed at either Shortlisting (S), Interview (I), or both (S&I). Essential Awareness and understanding of large scale compute services, including key technical concepts, their operation, and how they interact within the broader digital research infrastructure ecosystem, sufficient to guide policy, governance, and access-related decisions. (S&I) Extensive experience of leading successful complex, high-profile and fast moving infrastructural and/or technical projects ensuring delivery to agreed specifications, cost, time and quality standards. (S&I) Demonstrable ability to develop and integrate services, projects or programmes within wider strategic or policy landscapes, ideally within a national research or digital infrastructure context. (S&I) Experience developing and coordinating research or innovation communities, consortia, or multi institution partnerships. You must have the ability to build and sustain productive relationships internally and externally and represent UKRI, at all levels of seniority and across government, academic, policy and wider sectors. (S&I) Excellent oral and written communications skills. You must be comfortable in speaking publicly to audiences of varying sizes; be able to write clear, concise and effective technical reports; and be able to absorb and convey detailed information to/from technical and non-technical audiences. (S&I) Able to prioritise and manage multiple commitments across a complex portfolio, applying creative and adaptive thinking to navigate ambiguity, resolve interdependent challenges, and make effective decisions. (S&I) Demonstrable ability to deal with critical and high-profile issues, often working with external organisations, and handle risks independently, calling out to senior managers when required. Show high levels of personal drive, determination and resilience. (I) Benefits We recognise and value our employees as individuals and aim to provide a favourable pay and rewards package. We are committed to supporting employees' development and promote a culture of continuous learning! A list of benefits below An outstanding defined benefit pension scheme. 30 days' annual leave in addition to 10.5 public and privilege days (full time equivalent). Employee discounts and offers on retail and leisure activities. Employee assistance programme, providing confidential help and advice. Flexible working options. Plus many more benefits and wellbeing initiatives that enable our employees to have a great work life balance! For further information on our benefits please see: Benefits of working at UK Research and Innovation (UKRI) UKRI is an Equal Opportunity & Disability Confident Employer. Please apply online, if you experience any issue applying, please contact We encourage candidates to apply as soon as possible, as we reserve the right to close this vacancy early. Please note if you would like to apply for our other NNSS role 'Head of Policy & Engagement', please submit a separate covering letter and CV for each post. Please note, if you will require sponsorship to work in the UK, as part of your sponsorship application, you and any dependants travelling with you, will be required to pay costs directly to The Home Office for the application before you start your role with us. UKRI is normally able to reimburse some, or all of these fees after you have become an employee and this can be discussed with the Hiring Manager. For more information, please visit or contact .
Feb 23, 2026
Full time
UKRI Salary: £58,589 per annum. Band: UKRI Band F. Contract Type: 3 Year Fixed Term (With possibility of extension) Hours: Full Time or Part Time. (Minimum 0.8 FTE) Location: While UKRI supports hybrid working, the postholder will be required to attend one in-office team day per week at Polaris House in Swindon, Wiltshire. Closing Date: Sunday 15 March 2026. Proposed Interview Date: Interviews are likely to be week commencing 06 and 13 April 2026. Employees applying for any opportunity which may mean being away from your substantive role for a temporary period of time, please refer to the Recruitment Policy and associated guidance for further information in the first instance. If you are made an offer, please ensure you liaise with your line manager and the designated HR team as soon as possible in order that implications of any move are clear and understood, prior to a move taking place. About the role We are looking for a Head of Service Delivery to join the UKRI Infrastructure Team and play a pivotal role in delivering the Next National Supercomputing Service (NNSS): the £750m project to ensure the UK scientific community retains access to the most advanced modelling and simulation capabilities through provision of state-of-the-art compute hardware at the University of Edinburgh and service provision and software services to support users. The NNSS is the cornerstone investment at the heart of the DSIT-UKRI compute roadmap, and a high-priority strategic investment for the UK government. The Digital Research Infrastructure, Infrastructure Fund and Portfolio pillars form the cross-cutting UKRI Infrastructure Team that coordinates and manages UKRI's Infrastructure portfolio. You will collaborate across the organisation and externally, engaging with relevant stakeholders in Government Departments, Public Sector Research Establishments (PSREs), academia and industry to gather insight and ensure that UKRI's plans for Digital Research Infrastructure (DRI) enable our varied communities to use the most powerful digital tools and techniques. This role will be critical to successful delivery of the new service. You will work closely with the service providers, leading on successful implementation and management of the hardware and service provision contracts. You will lead on monitoring and evaluation to ensure the service fully delivers its intended benefits, as well as proactively looking for opportunities for continuous improvement, drawing on best practices from across the sector and major project management. We encourage candidates with an interest and knowledge in large-scale compute and related aspects of DRI to apply for this position: relevant experience might have been gained from several different types of career path or educational background. It is likely that the successful candidate will have the opportunity to work for periods with other policy or technical teams within UKRI to enhance the knowledge needed for their work. For further information, please contact Richard Gunn, DRI Programme Director () or Luke Davis, Associate Director for Computational Services (). Your responsibilities Ensuring that the NNSS service providers fulfil their agreed service requirements and managing any changes, including grant funding and/or contractual issues. Ensuring successful implementation of agreed governance, advisory and management structures, including coordination of the service providers. Ensuring that the NNSS service is effectively integrated within UKRI and DSIT's broader support for the compute ecosystem, including coordination with related initiatives such as National Compute Resources (NCRs) and EuroHPC and proactively seeking opportunities for improvement. Supporting the Head of Policy & Engagement in implementation, monitoring and evaluation of the NNSS service model to ensure successful delivery, including liaison with the host site, technology provider and other stakeholders involved in delivering the service. Driving working level relationships with infrastructure leads in government, the service providers and other key stakeholders. Developing an understanding of, and communicating, how our work aligns with and supports key national policies. Supporting the delivery of time-bound strategic projects within the UKRI Infrastructure team. Person Specification The following criteria will be assessed at either Shortlisting (S), Interview (I), or both (S&I). Essential Awareness and understanding of large scale compute services, including key technical concepts, their operation, and how they interact within the broader digital research infrastructure ecosystem, sufficient to guide policy, governance, and access-related decisions. (S&I) Extensive experience of leading successful complex, high-profile and fast moving infrastructural and/or technical projects ensuring delivery to agreed specifications, cost, time and quality standards. (S&I) Demonstrable ability to develop and integrate services, projects or programmes within wider strategic or policy landscapes, ideally within a national research or digital infrastructure context. (S&I) Experience developing and coordinating research or innovation communities, consortia, or multi institution partnerships. You must have the ability to build and sustain productive relationships internally and externally and represent UKRI, at all levels of seniority and across government, academic, policy and wider sectors. (S&I) Excellent oral and written communications skills. You must be comfortable in speaking publicly to audiences of varying sizes; be able to write clear, concise and effective technical reports; and be able to absorb and convey detailed information to/from technical and non-technical audiences. (S&I) Able to prioritise and manage multiple commitments across a complex portfolio, applying creative and adaptive thinking to navigate ambiguity, resolve interdependent challenges, and make effective decisions. (S&I) Demonstrable ability to deal with critical and high-profile issues, often working with external organisations, and handle risks independently, calling out to senior managers when required. Show high levels of personal drive, determination and resilience. (I) Benefits We recognise and value our employees as individuals and aim to provide a favourable pay and rewards package. We are committed to supporting employees' development and promote a culture of continuous learning! A list of benefits below An outstanding defined benefit pension scheme. 30 days' annual leave in addition to 10.5 public and privilege days (full time equivalent). Employee discounts and offers on retail and leisure activities. Employee assistance programme, providing confidential help and advice. Flexible working options. Plus many more benefits and wellbeing initiatives that enable our employees to have a great work life balance! For further information on our benefits please see: Benefits of working at UK Research and Innovation (UKRI) UKRI is an Equal Opportunity & Disability Confident Employer. Please apply online, if you experience any issue applying, please contact We encourage candidates to apply as soon as possible, as we reserve the right to close this vacancy early. Please note if you would like to apply for our other NNSS role 'Head of Policy & Engagement', please submit a separate covering letter and CV for each post. Please note, if you will require sponsorship to work in the UK, as part of your sponsorship application, you and any dependants travelling with you, will be required to pay costs directly to The Home Office for the application before you start your role with us. UKRI is normally able to reimburse some, or all of these fees after you have become an employee and this can be discussed with the Hiring Manager. For more information, please visit or contact .
UK Shared Business Services Ltd
Swindon, Wiltshire
Swindon, Wiltshire, United Kingdom (Hybrid) Job Info Job Category Research Programme and Funding Management Apply Before 03/15/2026, 11:55 PM Job Identification 2004 Posting Date 02/19/2026, 03:06 PM Job Shift Day Job Description UKRI Salary: £58,589 per annum. Band: UKRI Band F. Contract Type: 3 Year Fixed Term (With possibility of extension) Hours: Full Time or Part Time. (Minimum 0.8 FTE) Location: While UKRI supports hybrid working, the postholder will be required to attend one in office team day per week at Polaris House in Swindon, Wiltshire. Closing Date: Sunday 15 March 2026. Proposed Interview Date: Interviews are likely to be week commencing 06 and 13 April 2026. Employees applying for any opportunity which may mean being away from your substantive role for a temporary period of time, please refer to the Recruitment Policy and associated guidance for further information in the first instance. If you are made an offer, please ensure you liaise with your line manager and the designated HR team as soon as possible in order that implications of any move are clear and understood, prior to a move taking place. About the role We are looking for a Head of Service Delivery to join the UKRI Infrastructure Team and play a pivotal role in delivering the Next National Supercomputing Service (NNSS): the £750m project to ensure the UK scientific community retains access to the most advanced modelling and simulation capabilities through provision of state of the art compute hardware at the University of Edinburgh and service provision and software services to support users. The NNSS is the cornerstone investment at the heart of the DSIT UKRI compute roadmap, and a high priority strategic investment for the UK government. The Digital Research Infrastructure, Infrastructure Fund and Portfolio pillars form the cross cutting UKRI Infrastructure Team that coordinates and manages UKRI's Infrastructure portfolio. You will collaborate across the organisation and externally, engaging with relevant stakeholders in Government Departments, Public Sector Research Establishments (PSREs), academia and industry to gather insight and ensure that UKRI's plans for Digital Research Infrastructure (DRI) enable our varied communities to use the most powerful digital tools and techniques. This role will be critical to successful delivery of the new service. You will work closely with the service providers, leading on successful implementation and management of the hardware and service provision contracts. You will lead on monitoring and evaluation to ensure the service fully delivers its intended benefits, as well as proactively looking for opportunities for continuous improvement, drawing on best practices from across the sector and major project management. We encourage candidates with an interest and knowledge in large scale compute and related aspects of DRI to apply for this position: relevant experience might have been gained from several different types of career path or educational background. It is likely that the successful candidate will have the opportunity to work for periods with other policy or technical teams within UKRI to enhance the knowledge needed for their work. For further information, please contact Richard Gunn, DRI Programme Director () or Luke Davis, Associate Director for Computational Services (). Your responsibilities: Ensuring that the NNSS service providers fulfil their agreed service requirements and managing any changes, including grant funding and/or contractual issues. Ensuring successful implementation of agreed governance, advisory and management structures, including coordination of the service providers. Ensuring that the NNSS service is effectively integrated within UKRI and DSIT's broader support for the compute ecosystem, including coordination with related initiatives such as National Compute Resources (NCRs) and EuroHPC and proactively seeking opportunities for improvement. Supporting the Head of Policy & Engagement in implementation, monitoring and evaluation of the NNSS service model to ensure successful delivery, including liaison with the host site, technology provider and other stakeholders involved in delivering the service. Driving working level relationships with infrastructure leads in government, the service providers and other key stakeholders. Developing an understanding of, and communicating, how our work aligns with and supports key national policies. Supporting the delivery of time bound strategic projects within the UKRI Infrastructure team. Person Specification The following criteria will be assessed at either Shortlisting (S), Interview (I), or both (S&I) Awareness and understanding of large scale compute services, including key technical concepts, their operation, and how they interact within the broader digital research infrastructure ecosystem, sufficient to guide policy, governance, and access related decisions. (S&I) Extensive experience of leading successful complex, high profile and fast moving infrastructural and/or technical projects ensuring delivery to agreed specifications, cost, time and quality standards. (S&I) Demonstrable ability to develop and integrate services, projects or programmes within wider strategic or policy landscapes, ideally within a national research or digital infrastructure context. (S&I) Experience developing and coordinating research or innovation communities, consortia, or multi institution partnerships. You must have the ability to build and sustain productive relationships internally and externally and represent UKRI, at all levels of seniority and across government, academic, policy and wider sectors. (S&I) Excellent oral and written communications skills. You must be comfortable in speaking publicly to audiences of varying sizes; be able to write clear, concise and effective technical reports; and be able to absorb and convey detailed information to/from technical and non technical audiences. (S&I) Able to prioritise and manage multiple commitments across a complex portfolio, applying creative and adaptive thinking to navigate ambiguity, resolve interdependent challenges, and make effective decisions. (S&I) Demonstrable ability to deal with critical and high profile issues, often working with external organisations, and handle risks independently, calling out to senior managers when required. Show high levels of personal drive, determination and resilience. (I) We recognise and value our employees as individuals and aim to provide a favourable pay and rewards package. We are committed to supporting employees' development and promote a culture of continuous learning! A list of benefits below: 30 days' annual leave in addition to 10.5 public and privilege days (full time equivalent). Employee discounts and offers on retail and leisure activities. Employee assistance programme, providing confidential help and advice. Flexible working options. Plus many more benefits and wellbeing initiatives that enable our employees to have a great work life balance! For further information on our benefits please see: UKRI is an Equal Opportunity & Disability Confident Employer. Please apply online, if you experience any issue applying, please contact We encourage candidates to apply as soon as possible, as we reserve the right to close this vacancy early. Please note if you would like to apply for our other NNSS role 'Head of Policy & Engagement', please submit a separate covering letter and CV for each post. Please note, if you will require sponsorship to work in the UK, as part of your sponsorship application, you and any dependants travelling with you, will be required to pay costs directly to The Home Office for the application before you start your role with us. UKRI is normally able to reimburse some, or all of these fees after you have become an employee and this can be discussed with the Hiring Manager. For more information, please visit or contact . About Us UKRI - UK Research and Innovation UKRI is an organisation that brings together the seven disciplinary research councils, Research England and Innovate UK. Together, we build an independent organisation with a strong voice and vision ensuring the UK maintains its world leading position in research and innovation. Supporting some of the world's most exciting and challenging research projects, we develop and operate some of the most remarkable scientific facilities in the world. We are pushing the frontiers of human knowledge through fundamental research and delivering benefits for UK society and the economy through world class research, skills and business led innovation. More information can be found at . Choosing to come to work at UKRI means that you will have access to a whole host of benefits from a defined benefit pension scheme, excellent holiday entitlement, access to employee shopping/travel discounts and salary sacrifice cycle to work scheme. For more details, visit benefits of working for UKRI. How we support EDI in the workforce At UKRI, we believe that everyone has a right to be treated with dignity and respect . click apply for full job details
Feb 23, 2026
Full time
Swindon, Wiltshire, United Kingdom (Hybrid) Job Info Job Category Research Programme and Funding Management Apply Before 03/15/2026, 11:55 PM Job Identification 2004 Posting Date 02/19/2026, 03:06 PM Job Shift Day Job Description UKRI Salary: £58,589 per annum. Band: UKRI Band F. Contract Type: 3 Year Fixed Term (With possibility of extension) Hours: Full Time or Part Time. (Minimum 0.8 FTE) Location: While UKRI supports hybrid working, the postholder will be required to attend one in office team day per week at Polaris House in Swindon, Wiltshire. Closing Date: Sunday 15 March 2026. Proposed Interview Date: Interviews are likely to be week commencing 06 and 13 April 2026. Employees applying for any opportunity which may mean being away from your substantive role for a temporary period of time, please refer to the Recruitment Policy and associated guidance for further information in the first instance. If you are made an offer, please ensure you liaise with your line manager and the designated HR team as soon as possible in order that implications of any move are clear and understood, prior to a move taking place. About the role We are looking for a Head of Service Delivery to join the UKRI Infrastructure Team and play a pivotal role in delivering the Next National Supercomputing Service (NNSS): the £750m project to ensure the UK scientific community retains access to the most advanced modelling and simulation capabilities through provision of state of the art compute hardware at the University of Edinburgh and service provision and software services to support users. The NNSS is the cornerstone investment at the heart of the DSIT UKRI compute roadmap, and a high priority strategic investment for the UK government. The Digital Research Infrastructure, Infrastructure Fund and Portfolio pillars form the cross cutting UKRI Infrastructure Team that coordinates and manages UKRI's Infrastructure portfolio. You will collaborate across the organisation and externally, engaging with relevant stakeholders in Government Departments, Public Sector Research Establishments (PSREs), academia and industry to gather insight and ensure that UKRI's plans for Digital Research Infrastructure (DRI) enable our varied communities to use the most powerful digital tools and techniques. This role will be critical to successful delivery of the new service. You will work closely with the service providers, leading on successful implementation and management of the hardware and service provision contracts. You will lead on monitoring and evaluation to ensure the service fully delivers its intended benefits, as well as proactively looking for opportunities for continuous improvement, drawing on best practices from across the sector and major project management. We encourage candidates with an interest and knowledge in large scale compute and related aspects of DRI to apply for this position: relevant experience might have been gained from several different types of career path or educational background. It is likely that the successful candidate will have the opportunity to work for periods with other policy or technical teams within UKRI to enhance the knowledge needed for their work. For further information, please contact Richard Gunn, DRI Programme Director () or Luke Davis, Associate Director for Computational Services (). Your responsibilities: Ensuring that the NNSS service providers fulfil their agreed service requirements and managing any changes, including grant funding and/or contractual issues. Ensuring successful implementation of agreed governance, advisory and management structures, including coordination of the service providers. Ensuring that the NNSS service is effectively integrated within UKRI and DSIT's broader support for the compute ecosystem, including coordination with related initiatives such as National Compute Resources (NCRs) and EuroHPC and proactively seeking opportunities for improvement. Supporting the Head of Policy & Engagement in implementation, monitoring and evaluation of the NNSS service model to ensure successful delivery, including liaison with the host site, technology provider and other stakeholders involved in delivering the service. Driving working level relationships with infrastructure leads in government, the service providers and other key stakeholders. Developing an understanding of, and communicating, how our work aligns with and supports key national policies. Supporting the delivery of time bound strategic projects within the UKRI Infrastructure team. Person Specification The following criteria will be assessed at either Shortlisting (S), Interview (I), or both (S&I) Awareness and understanding of large scale compute services, including key technical concepts, their operation, and how they interact within the broader digital research infrastructure ecosystem, sufficient to guide policy, governance, and access related decisions. (S&I) Extensive experience of leading successful complex, high profile and fast moving infrastructural and/or technical projects ensuring delivery to agreed specifications, cost, time and quality standards. (S&I) Demonstrable ability to develop and integrate services, projects or programmes within wider strategic or policy landscapes, ideally within a national research or digital infrastructure context. (S&I) Experience developing and coordinating research or innovation communities, consortia, or multi institution partnerships. You must have the ability to build and sustain productive relationships internally and externally and represent UKRI, at all levels of seniority and across government, academic, policy and wider sectors. (S&I) Excellent oral and written communications skills. You must be comfortable in speaking publicly to audiences of varying sizes; be able to write clear, concise and effective technical reports; and be able to absorb and convey detailed information to/from technical and non technical audiences. (S&I) Able to prioritise and manage multiple commitments across a complex portfolio, applying creative and adaptive thinking to navigate ambiguity, resolve interdependent challenges, and make effective decisions. (S&I) Demonstrable ability to deal with critical and high profile issues, often working with external organisations, and handle risks independently, calling out to senior managers when required. Show high levels of personal drive, determination and resilience. (I) We recognise and value our employees as individuals and aim to provide a favourable pay and rewards package. We are committed to supporting employees' development and promote a culture of continuous learning! A list of benefits below: 30 days' annual leave in addition to 10.5 public and privilege days (full time equivalent). Employee discounts and offers on retail and leisure activities. Employee assistance programme, providing confidential help and advice. Flexible working options. Plus many more benefits and wellbeing initiatives that enable our employees to have a great work life balance! For further information on our benefits please see: UKRI is an Equal Opportunity & Disability Confident Employer. Please apply online, if you experience any issue applying, please contact We encourage candidates to apply as soon as possible, as we reserve the right to close this vacancy early. Please note if you would like to apply for our other NNSS role 'Head of Policy & Engagement', please submit a separate covering letter and CV for each post. Please note, if you will require sponsorship to work in the UK, as part of your sponsorship application, you and any dependants travelling with you, will be required to pay costs directly to The Home Office for the application before you start your role with us. UKRI is normally able to reimburse some, or all of these fees after you have become an employee and this can be discussed with the Hiring Manager. For more information, please visit or contact . About Us UKRI - UK Research and Innovation UKRI is an organisation that brings together the seven disciplinary research councils, Research England and Innovate UK. Together, we build an independent organisation with a strong voice and vision ensuring the UK maintains its world leading position in research and innovation. Supporting some of the world's most exciting and challenging research projects, we develop and operate some of the most remarkable scientific facilities in the world. We are pushing the frontiers of human knowledge through fundamental research and delivering benefits for UK society and the economy through world class research, skills and business led innovation. More information can be found at . Choosing to come to work at UKRI means that you will have access to a whole host of benefits from a defined benefit pension scheme, excellent holiday entitlement, access to employee shopping/travel discounts and salary sacrifice cycle to work scheme. For more details, visit benefits of working for UKRI. How we support EDI in the workforce At UKRI, we believe that everyone has a right to be treated with dignity and respect . click apply for full job details
UK Shared Business Services Ltd
Swindon, Wiltshire
A leading public sector organization in Swindon is seeking a Head of Service Delivery to manage the Next National Supercomputing Service project. The role requires extensive experience in leading complex infrastructural projects and ensuring stakeholder engagement. The successful candidate will be responsible for service delivery and improvement, working closely with various stakeholders. This full-time position supports hybrid working, requiring attendance in the office once a week. The role offers a competitive salary of £58,589 per annum.
Feb 23, 2026
Full time
A leading public sector organization in Swindon is seeking a Head of Service Delivery to manage the Next National Supercomputing Service project. The role requires extensive experience in leading complex infrastructural projects and ensuring stakeholder engagement. The successful candidate will be responsible for service delivery and improvement, working closely with various stakeholders. This full-time position supports hybrid working, requiring attendance in the office once a week. The role offers a competitive salary of £58,589 per annum.
A leading UK research organization is seeking a Head of Service Delivery to oversee the Next National Supercomputing Service (NNSS). The role requires extensive project management experience and collaboration with key stakeholders across government and academia. The successful candidate will ensure effective service delivery and integration within broader initiatives, contributing to national research capabilities. This position offers a competitive salary, flexible working options, and a commitment to employee development.
Feb 22, 2026
Full time
A leading UK research organization is seeking a Head of Service Delivery to oversee the Next National Supercomputing Service (NNSS). The role requires extensive project management experience and collaboration with key stakeholders across government and academia. The successful candidate will ensure effective service delivery and integration within broader initiatives, contributing to national research capabilities. This position offers a competitive salary, flexible working options, and a commitment to employee development.
Are you a qualified IT or Computing teacher searching for a full-time position within a superb grammar school in the Bebington area beginning after February half-term? Perhaps you're currently working on a day to day supply basis, but want to find a more consistent role where you can build genuine rapports with your students? A superb grammar school located in the Bebington area of the Wirral is eager to secure a brilliant Teacher of IT in a full-time role beginning after the February half-term, able to provide high quality learning experiences to KS3 & KS4 students within the IT subject. Find out more about this exciting Teacher of IT role in Bebington below! Teacher of IT - Role Information: Providing KS3 & KS4 IT to highly academic students Utilising schools excellent curriculum and resources to structure lessons Monday to Friday role - February 23rd to March 23rd 2026 Paid £170 to £225 per day during term time Interviewing for role ASAP - Apply NOW! Teacher of IT - Applicant Requirements: Qualified Teacher Status - Secondary Education Minimum 2:2 UK based degree Minimum 2 years' IT or Computing teaching experience Naturally outgoing and inspiring individual Excellent communication and organisation skills Teacher of IT - The School: Outstanding grammar school with brilliant reputation Located in Bebington area of the Wirral Exceptional SLT with fantastic Head of Department Eager to provide students with highest quality of education FREE parking with public transport links nearby! JBRP1_UKTJ
Feb 20, 2026
Full time
Are you a qualified IT or Computing teacher searching for a full-time position within a superb grammar school in the Bebington area beginning after February half-term? Perhaps you're currently working on a day to day supply basis, but want to find a more consistent role where you can build genuine rapports with your students? A superb grammar school located in the Bebington area of the Wirral is eager to secure a brilliant Teacher of IT in a full-time role beginning after the February half-term, able to provide high quality learning experiences to KS3 & KS4 students within the IT subject. Find out more about this exciting Teacher of IT role in Bebington below! Teacher of IT - Role Information: Providing KS3 & KS4 IT to highly academic students Utilising schools excellent curriculum and resources to structure lessons Monday to Friday role - February 23rd to March 23rd 2026 Paid £170 to £225 per day during term time Interviewing for role ASAP - Apply NOW! Teacher of IT - Applicant Requirements: Qualified Teacher Status - Secondary Education Minimum 2:2 UK based degree Minimum 2 years' IT or Computing teaching experience Naturally outgoing and inspiring individual Excellent communication and organisation skills Teacher of IT - The School: Outstanding grammar school with brilliant reputation Located in Bebington area of the Wirral Exceptional SLT with fantastic Head of Department Eager to provide students with highest quality of education FREE parking with public transport links nearby! JBRP1_UKTJ
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD's Software and Solutions Team is seeking a HPC Computational Scientist / Engineer to optimize scientific computing applications for AMD CPU and GPU platforms. This role requires strong foundational expertise in HPC application performance, GPU programming, and scientific simulation domains. As part of AMD's UK Center of Excellence (COE), the engineer will collaborate directly with customer teams across academia, industry, and research laboratories to modernize, port, and tune applications for supercomputing and AI-enabled workflows. The role spans testing, tuning, performance engineering, and full-stack optimization for large-scale HPC workloads on AMD architectures. Candidates must be based in or willing to relocate to the UK. THE PERSON: A highly motivated and passionate computational scientist, physicist, or engineer with deep expertise in HPC performance optimization, GPU programming, and scientific application development. This individual thrives in fast-paced, highly technical, cross-functional environments-collaborating with researchers, scientific software teams, and customer HPC groups to test, port, optimize, and scale complex simulation and modeling codes across domains such as finite element analysis, computational chemistry, weather modeling, fluid dynamics, and energy systems. They will apply advanced performance engineering techniques across CPU and GPU execution paths; implement MPI, HIP, CUDA, and OpenMP parallel programming models; leverage HPC profiling tools; and contribute to emerging converged HPC/AI workflows. The ideal candidate is proficient in Fortran or C/C++, experienced with HPC build systems and revision control practices, and comfortable supporting geographically distributed teams. They must be self-motivated, collaborative, and able to work effectively in a team environment. Additionally, they must be eligible for and willing to obtain UK DV clearance, which is required for customer-facing responsibilities within the UK COE. PREFERRED EXPERIENCE: Strong experience in scientific computing disciplines, distributed-memory parallel programming, HPC profiling tools, GPU acceleration technologies, and HPC application modernisation. Familiarity with converged HPC/AI workflows and major AI frameworks such as PyTorch or TensorFlow, as well as experience supporting large-scale simulation workloads, is highly desirable. ACADEMIC CREDENTIALS: PhD in Computer Science, Computational Physics, Engineering, or closely related fields with 3-5 years of exp Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available for reference. This posting is for an existing vacancy.
Feb 19, 2026
Full time
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD's Software and Solutions Team is seeking a HPC Computational Scientist / Engineer to optimize scientific computing applications for AMD CPU and GPU platforms. This role requires strong foundational expertise in HPC application performance, GPU programming, and scientific simulation domains. As part of AMD's UK Center of Excellence (COE), the engineer will collaborate directly with customer teams across academia, industry, and research laboratories to modernize, port, and tune applications for supercomputing and AI-enabled workflows. The role spans testing, tuning, performance engineering, and full-stack optimization for large-scale HPC workloads on AMD architectures. Candidates must be based in or willing to relocate to the UK. THE PERSON: A highly motivated and passionate computational scientist, physicist, or engineer with deep expertise in HPC performance optimization, GPU programming, and scientific application development. This individual thrives in fast-paced, highly technical, cross-functional environments-collaborating with researchers, scientific software teams, and customer HPC groups to test, port, optimize, and scale complex simulation and modeling codes across domains such as finite element analysis, computational chemistry, weather modeling, fluid dynamics, and energy systems. They will apply advanced performance engineering techniques across CPU and GPU execution paths; implement MPI, HIP, CUDA, and OpenMP parallel programming models; leverage HPC profiling tools; and contribute to emerging converged HPC/AI workflows. The ideal candidate is proficient in Fortran or C/C++, experienced with HPC build systems and revision control practices, and comfortable supporting geographically distributed teams. They must be self-motivated, collaborative, and able to work effectively in a team environment. Additionally, they must be eligible for and willing to obtain UK DV clearance, which is required for customer-facing responsibilities within the UK COE. PREFERRED EXPERIENCE: Strong experience in scientific computing disciplines, distributed-memory parallel programming, HPC profiling tools, GPU acceleration technologies, and HPC application modernisation. Familiarity with converged HPC/AI workflows and major AI frameworks such as PyTorch or TensorFlow, as well as experience supporting large-scale simulation workloads, is highly desirable. ACADEMIC CREDENTIALS: PhD in Computer Science, Computational Physics, Engineering, or closely related fields with 3-5 years of exp Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available for reference. This posting is for an existing vacancy.
Data Centre Design/ Head of Data Centre Design/ Data Centre Design Manager/ Data Centre Design Director Head of Data Centre Design Senior Leadership Role London (Hybrid) Full-time We're partnering with a corporate backed, scaling infrastructure business operating at the intersection of data centres, high-performance computing, and sustainable energy click apply for full job details
Feb 17, 2026
Full time
Data Centre Design/ Head of Data Centre Design/ Data Centre Design Manager/ Data Centre Design Director Head of Data Centre Design Senior Leadership Role London (Hybrid) Full-time We're partnering with a corporate backed, scaling infrastructure business operating at the intersection of data centres, high-performance computing, and sustainable energy click apply for full job details
The Company Cognizant (NASDAQ:CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant has over 340,000 employees as of January 2025. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world. Cognizant Consulting At Cognizant, our consultants orchestrate the capabilities to truly change the game across strategy, design, technology and industry/functional knowledge to deliver insight at speed and solutions at scale. Our consulting services elevate the unique abilities and business aspirations of customers and employees and build relationships based on trust and value. Energy & Utilities Consulting Energy & utilities in the UK are going through a transformation journey with the focus on making data-centric Asset Investment decisions, enhanced customer experience (through digital and data enablement), sustainable and reliable infrastructure(green energy driven water treatment, fewer leakages etc.), digitalisation of the aging infrastructure, visualisation of their disparate decision support systems in a single pane of glass and most importantly disruption from innovative technologies entering the marketplace. Cognizant has engagements with multiple energy & utilities clients in the UK where we are helping them being customer obsessed and lead the transformation initiatives to build new offerings, solutions and innovative business models aligned to the market trends and regulatory commitments. Role Overview The OT Architect will lead the design integration and governance of Operational Technology (OT) systems across a modern utilities environment. This role focuses on secure SCADA telemetry and industrial automation platforms ensuring seamless interoperability with enterprise IT ERP and cloud ecosystems. Roles & Responsibilities OT Architecture & Systems Integration Design and maintain end to end OT architectures covering SCADA RTUs/PLCs telemetry historian platforms and field communications. Develop integration patterns between OT systems and enterprise IT/ERP platforms (e.g. SAP Oracle Maximo GIS asset management). Define secure data flows between plant control rooms corporate networks and cloud services. Lead the adoption of IIoT technologies edge computing and modern data architectures for real time operational insight. Cybersecurity & Compliance Embed ISA/IEC 62443 NIS2 and UK CNI security principles into OT designs. Conduct risk assessments threat modelling and architecture reviews across OT environments. Collaborate with cybersecurity teams to implement segmentation zero trust principles and secure remote access for OT assets. SCADA & Utilities Operations Provide architectural leadership for SCADA upgrades control system migrations and telemetry modernization programs. Work closely with control room operations and engineering teams to ensure system reliability availability and regulatory compliance. Support lifecycle planning for OT assets including vendor selection obsolescence management and technology road mapping. Stakeholder Engagement & Technical Leadership Act as a trusted advisor to senior leadership engineering managers and IT/OT program teams. Translate operational requirements into scalable secure and compliant architectures. Lead workshops produce high quality technical documentation and guide delivery partners and system integrators. Support procurement contract reviews and vendor governance for OT and IIoT solutions. Essential skills Utilities Operational Domain Knowledge Understanding of end-to-end business process model in Water and Wastewater treatment operations Understanding of supervisory and control processes Expertise in defining solutions for data acquisitions from operational systems and OT-IT Integration Understanding of operational technology elements (PLCs, RTUs, Data Loggers, SCADA systems, Timeseries historian etc.) and how they help utility operational processes Appreciation of protocols used in process automation - Modbus, OPC UA, OPC DA, MQTT, AMQP etc. Enterprise Asset Management Domain Expertise for Utilities Solution Design and Prototyping Business & technology process mapping, capability maps and value streams Excellent communication skills Desired Skills Expertise in Cloud Technologies preferably Azure Appreciation of IoT Technologies An appreciation of Enterprise Architecture
Feb 17, 2026
Full time
The Company Cognizant (NASDAQ:CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant has over 340,000 employees as of January 2025. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world. Cognizant Consulting At Cognizant, our consultants orchestrate the capabilities to truly change the game across strategy, design, technology and industry/functional knowledge to deliver insight at speed and solutions at scale. Our consulting services elevate the unique abilities and business aspirations of customers and employees and build relationships based on trust and value. Energy & Utilities Consulting Energy & utilities in the UK are going through a transformation journey with the focus on making data-centric Asset Investment decisions, enhanced customer experience (through digital and data enablement), sustainable and reliable infrastructure(green energy driven water treatment, fewer leakages etc.), digitalisation of the aging infrastructure, visualisation of their disparate decision support systems in a single pane of glass and most importantly disruption from innovative technologies entering the marketplace. Cognizant has engagements with multiple energy & utilities clients in the UK where we are helping them being customer obsessed and lead the transformation initiatives to build new offerings, solutions and innovative business models aligned to the market trends and regulatory commitments. Role Overview The OT Architect will lead the design integration and governance of Operational Technology (OT) systems across a modern utilities environment. This role focuses on secure SCADA telemetry and industrial automation platforms ensuring seamless interoperability with enterprise IT ERP and cloud ecosystems. Roles & Responsibilities OT Architecture & Systems Integration Design and maintain end to end OT architectures covering SCADA RTUs/PLCs telemetry historian platforms and field communications. Develop integration patterns between OT systems and enterprise IT/ERP platforms (e.g. SAP Oracle Maximo GIS asset management). Define secure data flows between plant control rooms corporate networks and cloud services. Lead the adoption of IIoT technologies edge computing and modern data architectures for real time operational insight. Cybersecurity & Compliance Embed ISA/IEC 62443 NIS2 and UK CNI security principles into OT designs. Conduct risk assessments threat modelling and architecture reviews across OT environments. Collaborate with cybersecurity teams to implement segmentation zero trust principles and secure remote access for OT assets. SCADA & Utilities Operations Provide architectural leadership for SCADA upgrades control system migrations and telemetry modernization programs. Work closely with control room operations and engineering teams to ensure system reliability availability and regulatory compliance. Support lifecycle planning for OT assets including vendor selection obsolescence management and technology road mapping. Stakeholder Engagement & Technical Leadership Act as a trusted advisor to senior leadership engineering managers and IT/OT program teams. Translate operational requirements into scalable secure and compliant architectures. Lead workshops produce high quality technical documentation and guide delivery partners and system integrators. Support procurement contract reviews and vendor governance for OT and IIoT solutions. Essential skills Utilities Operational Domain Knowledge Understanding of end-to-end business process model in Water and Wastewater treatment operations Understanding of supervisory and control processes Expertise in defining solutions for data acquisitions from operational systems and OT-IT Integration Understanding of operational technology elements (PLCs, RTUs, Data Loggers, SCADA systems, Timeseries historian etc.) and how they help utility operational processes Appreciation of protocols used in process automation - Modbus, OPC UA, OPC DA, MQTT, AMQP etc. Enterprise Asset Management Domain Expertise for Utilities Solution Design and Prototyping Business & technology process mapping, capability maps and value streams Excellent communication skills Desired Skills Expertise in Cloud Technologies preferably Azure Appreciation of IoT Technologies An appreciation of Enterprise Architecture
About OLIX AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. OLIX is building this next paradigm; the Optical Tensor Processing Unit (OTPU) achieves performance and energy efficiency that is impossible to match from existing chips. The role We're searching for Senior Compiler Engineers to join the team building the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs that connect PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers. Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we are pushing the limits of their performance envelope by closely partnering with hardware and modelling teams to understand device trade-offs. Responsibilities Project Ownership: Own and deliver projects on your team's roadmap that unlock key high-impact technical and business milestones that drive the success of Olix. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimise Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximise throughput. Mentor & Encourage Standards: Lead code reviews, coach peers, and uphold best practices in ML backend and performance engineering for your team. Guide Team Direction: Stay ahead of GPU, AI accelerator, and optical computing trends; propose and prototype innovations. Skills & Experience 5+ years of experience in software engineering with a focus on C/C++ programming. Deep expertise in ML framework internals, compilers, low-level programming, and optimisation techniques. Deep expertise in optimising Tensorflow, PyTorch or JAX deep learning models. Deep expertise with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong problem-solving skills and the ability to think critically and creatively. Experience in high pace, dynamic work environments. Excellent teamwork and communication skills, with the ability to collaborate effectively with cross functional teams. Bachelor's degree in computer science, electrical engineering, telecoms engineering, mathematics, or a related field. Personal projects are a key differentiating factor and hold more weight than other requirements. Compensation & Benefits Competitive Salary: £174,000 - £234,000 annual salary commensurate with your experience, skills, and location. Equity & Ownership: Meaningful stock options. You're not just joining the mission; you're owning a piece of it. Proximity Bonus: We value your time. To minimise your commute and maximise your life, we offer a £24K annual Living-Local Bonus if your residence is within 20 minutes of the office. Health & Wellbeing Premium Healthcare: Comprehensive BUPA medical and dental cover, including Medical History Disregarded (MHD), for complete peace of mind. Time Off: 25 days of annual leave, plus all UK bank holidays. The Workspace & Tech Elite Hardware: M4 Macs come as standard, with M4 Pro upgrades for our engineering team. We will provide whatever you need to do your best work. Optimal Environment: High-spec noise-cancelling headphones and a fully ergonomic workstation designed for deep focus. Rapid Prototyping: Access to our high-performance 3D printing lab for work, experimentation, and personal creative projects. Life at the Office Chef-prepared meals: if you need to work late. Caffeine on Us: We've got you covered with a tab at our favourite local coffee shop. Relocation & Global Mobility Visa Sponsorship: We hire the best in the world. We offer full UK and international visa sponsorship. Seamless Relocation: Whether you're moving across the country or across the globe, our dedicated relocation partner provides funding and concierge support to get you settled. Due to U.S. export control regulations, candidates' eligibility to work at Flux depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible. We do not accept unsolicited CVs from recruitment agencies, will not be liable for any fees, and prohibit unauthorised use of our company name in recruitment activities.
Feb 17, 2026
Full time
About OLIX AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. OLIX is building this next paradigm; the Optical Tensor Processing Unit (OTPU) achieves performance and energy efficiency that is impossible to match from existing chips. The role We're searching for Senior Compiler Engineers to join the team building the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs that connect PyTorch, Tensorflow, JAX, and MXNet down to our low-level kernel drivers. Your mission will be to create seamless support for a broad ecosystem of large AI models, and ensure we are pushing the limits of their performance envelope by closely partnering with hardware and modelling teams to understand device trade-offs. Responsibilities Project Ownership: Own and deliver projects on your team's roadmap that unlock key high-impact technical and business milestones that drive the success of Olix. Architect & Build: Design and implement our compiler, runtime, and debugger for PyTorch, TensorFlow, JAX, and MXNet on custom hardware. Optimise Performance: Apply advanced techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximise throughput. Mentor & Encourage Standards: Lead code reviews, coach peers, and uphold best practices in ML backend and performance engineering for your team. Guide Team Direction: Stay ahead of GPU, AI accelerator, and optical computing trends; propose and prototype innovations. Skills & Experience 5+ years of experience in software engineering with a focus on C/C++ programming. Deep expertise in ML framework internals, compilers, low-level programming, and optimisation techniques. Deep expertise in optimising Tensorflow, PyTorch or JAX deep learning models. Deep expertise with multiple toolchains like LLVM, OpenXLA/XLA, MLIR, TVM. Practical experience applying machine learning in high-performance computing contexts. Strong problem-solving skills and the ability to think critically and creatively. Experience in high pace, dynamic work environments. Excellent teamwork and communication skills, with the ability to collaborate effectively with cross functional teams. Bachelor's degree in computer science, electrical engineering, telecoms engineering, mathematics, or a related field. Personal projects are a key differentiating factor and hold more weight than other requirements. Compensation & Benefits Competitive Salary: £174,000 - £234,000 annual salary commensurate with your experience, skills, and location. Equity & Ownership: Meaningful stock options. You're not just joining the mission; you're owning a piece of it. Proximity Bonus: We value your time. To minimise your commute and maximise your life, we offer a £24K annual Living-Local Bonus if your residence is within 20 minutes of the office. Health & Wellbeing Premium Healthcare: Comprehensive BUPA medical and dental cover, including Medical History Disregarded (MHD), for complete peace of mind. Time Off: 25 days of annual leave, plus all UK bank holidays. The Workspace & Tech Elite Hardware: M4 Macs come as standard, with M4 Pro upgrades for our engineering team. We will provide whatever you need to do your best work. Optimal Environment: High-spec noise-cancelling headphones and a fully ergonomic workstation designed for deep focus. Rapid Prototyping: Access to our high-performance 3D printing lab for work, experimentation, and personal creative projects. Life at the Office Chef-prepared meals: if you need to work late. Caffeine on Us: We've got you covered with a tab at our favourite local coffee shop. Relocation & Global Mobility Visa Sponsorship: We hire the best in the world. We offer full UK and international visa sponsorship. Seamless Relocation: Whether you're moving across the country or across the globe, our dedicated relocation partner provides funding and concierge support to get you settled. Due to U.S. export control regulations, candidates' eligibility to work at Flux depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible. We do not accept unsolicited CVs from recruitment agencies, will not be liable for any fees, and prohibit unauthorised use of our company name in recruitment activities.
Head of Customer Engineering, Manufacturing and Industrial Google London, UK Apply Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. 3 years of experience as a manager leading teams in a technical customer-facing role within professional services or sales engineering. Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. Experience leading technical conversations, demos, prototyping, or workshops with customers. Preferred qualifications: Experience with software life-cycles, building tools, and architecting/developing software for scalable, distributed systems (e.g., data platform, AI/ML, infrastructure). Experience managing a team through pre-sales processes and career development (e.g., account mapping, quota setting, performance management, managing sensitive information). Experience engaging with, and presenting to, technical stakeholders/executive leaders (e.g., delivering engaged messages by audience, asking strategic questions, leading conversations that drive accelerated value realization and business opportunity). Experience managing delivery and consumption plans for complex, cross-pillar cloud solutions. About the job When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Head of Customer Engineering (CE), you lead CE managers and teams and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical blockers. You will foster a culture of technical ownership and understand the mechanics of architecture, delivery, and consumption across the Google Cloud portfolio. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Lead a team of CE Managers and extended teams, focusing on team culture, talent strategy, and skills development to deliver successful cloud transformation outcomes for customers and accelerate value realization. Foster customer partnership and provide thought leadership related to cloud, cross-pillar solutions, and expansion opportunities to drive technical wins. Partner with business leadership to define technical go-to-market strategies and delivery plans, with a focus on winning new workloads and driving consumption within existing ones. Through planning stages, determine alignment, coverage and staffing needs. Balance technical leadership with operational excellence; lead workload and opportunity review meetings with Sales and CE teams and provide insight into how to achieve technical agreements and migration strategy, working directly with customers, partners, and prospects. Work cross-functionally across Google, partners, and your team to resolve technical roadblocks. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Feb 17, 2026
Full time
Head of Customer Engineering, Manufacturing and Industrial Google London, UK Apply Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. 3 years of experience as a manager leading teams in a technical customer-facing role within professional services or sales engineering. Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. Experience leading technical conversations, demos, prototyping, or workshops with customers. Preferred qualifications: Experience with software life-cycles, building tools, and architecting/developing software for scalable, distributed systems (e.g., data platform, AI/ML, infrastructure). Experience managing a team through pre-sales processes and career development (e.g., account mapping, quota setting, performance management, managing sensitive information). Experience engaging with, and presenting to, technical stakeholders/executive leaders (e.g., delivering engaged messages by audience, asking strategic questions, leading conversations that drive accelerated value realization and business opportunity). Experience managing delivery and consumption plans for complex, cross-pillar cloud solutions. About the job When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Head of Customer Engineering (CE), you lead CE managers and teams and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical blockers. You will foster a culture of technical ownership and understand the mechanics of architecture, delivery, and consumption across the Google Cloud portfolio. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Lead a team of CE Managers and extended teams, focusing on team culture, talent strategy, and skills development to deliver successful cloud transformation outcomes for customers and accelerate value realization. Foster customer partnership and provide thought leadership related to cloud, cross-pillar solutions, and expansion opportunities to drive technical wins. Partner with business leadership to define technical go-to-market strategies and delivery plans, with a focus on winning new workloads and driving consumption within existing ones. Through planning stages, determine alignment, coverage and staffing needs. Balance technical leadership with operational excellence; lead workload and opportunity review meetings with Sales and CE teams and provide insight into how to achieve technical agreements and migration strategy, working directly with customers, partners, and prospects. Work cross-functionally across Google, partners, and your team to resolve technical roadblocks. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
As quantum devices evolve rapidly, the limiting factor is no longer physics alone, but the ability to integrate, control, test, and manufacture reliable systems. This role exists to solve this problem at a national scale. The Head of Quantum is a systems leadership role responsible for the technical leadership, delivery assurance and strategic integration of CSA Catapult's quantum activities, ensuring programmes are industry-relevant, delivery-focused, value-for-money and aligned to CSA Catapult's mandate. The role focuses on system-level integration, architecture, materials-to-device-readiness and industrialisation, enabling coherent delivery across multiple technology domains including RF, photonics (PICs), electronics, packaging, and test. The Head of Quantum will be responsible for: Defining and executing CSA's quantum technology roadmap (computing, sensing, comms, PNT, defence relevant systems) whilst ensuring alignment with AI, RF, photonics, and advanced packaging roadmaps Leading quantum-classical interface strategy, roadmaps, demonstrators and delivery including testing, verification and qualification Quantum sensing, timing, PNT and defence relevant applications Quantum communications and networking (non theoretical) System architectures and Quantum-classical interfaces spanning power, RF, photonics, cryogenic and control electronics, advanced packaging, control electronics, AI enabled processing and inference where relevant Coherent delivery of system-level integration, test, validation and demonstrators Acting as CSA's technical authority for quantum with Government, defence, industry, and partners Building a high credibility, delivery focused quantum team aligned to Catapult outcomes Contributing to future funding bids, programmes and partnerships
Feb 16, 2026
Full time
As quantum devices evolve rapidly, the limiting factor is no longer physics alone, but the ability to integrate, control, test, and manufacture reliable systems. This role exists to solve this problem at a national scale. The Head of Quantum is a systems leadership role responsible for the technical leadership, delivery assurance and strategic integration of CSA Catapult's quantum activities, ensuring programmes are industry-relevant, delivery-focused, value-for-money and aligned to CSA Catapult's mandate. The role focuses on system-level integration, architecture, materials-to-device-readiness and industrialisation, enabling coherent delivery across multiple technology domains including RF, photonics (PICs), electronics, packaging, and test. The Head of Quantum will be responsible for: Defining and executing CSA's quantum technology roadmap (computing, sensing, comms, PNT, defence relevant systems) whilst ensuring alignment with AI, RF, photonics, and advanced packaging roadmaps Leading quantum-classical interface strategy, roadmaps, demonstrators and delivery including testing, verification and qualification Quantum sensing, timing, PNT and defence relevant applications Quantum communications and networking (non theoretical) System architectures and Quantum-classical interfaces spanning power, RF, photonics, cryogenic and control electronics, advanced packaging, control electronics, AI enabled processing and inference where relevant Coherent delivery of system-level integration, test, validation and demonstrators Acting as CSA's technical authority for quantum with Government, defence, industry, and partners Building a high credibility, delivery focused quantum team aligned to Catapult outcomes Contributing to future funding bids, programmes and partnerships
A leading tech company in the UK is seeking a Head of Customer Engineering to lead teams and guide customer technical engagements. This role focuses on delivering cloud transformation outcomes and requires extensive experience in cloud native architecture, team leadership, and customer-facing solutions. The ideal candidate should possess strong problem-solving skills and be able to engage effectively with customers to foster partnerships and achieve technical wins. Join a dynamic team that's shaping the future of cloud computing.
Feb 16, 2026
Full time
A leading tech company in the UK is seeking a Head of Customer Engineering to lead teams and guide customer technical engagements. This role focuses on delivering cloud transformation outcomes and requires extensive experience in cloud native architecture, team leadership, and customer-facing solutions. The ideal candidate should possess strong problem-solving skills and be able to engage effectively with customers to foster partnerships and achieve technical wins. Join a dynamic team that's shaping the future of cloud computing.
About the Role Grade Level (for internal use): 13 The role: AI Application Security Architect Location: New Jersey, US or London, UK Role Summary We are seeking a highly skilled professional to drive the secure development lifecycle (SDLC) of agentic AI systems and applications across multi-cloud (AWS, Azure, GCP) and hybrid/on-prem environments. This role will focus on embedding robust application security controls, performing secure SDLC reviews, and leading the design and automation of security validation for agentic AI and LLM-powered solutions. The ideal candidate blends hands-on security engineering expertise with practical experience in AI/ML, MLOps/LLMOps, and secure application architecture, delivering resilient, compliant, and business-aligned agentic AI systems. Key Responsibilities Application Security & SDLC Automation Integrate security best practices throughout the SDLC for agentic AI applications, from design and code to deployment and operations. Develop and maintain automated security testing pipelines (SAST, DAST, SCA) for AI agents, APIs, and orchestration layers. Conduct security code reviews and threat modeling for agentic AI, focusing on model inputs/outputs, agent-to-agent (A2A), agent-to-process (A2P), and multi-agent control plane (MCP) interactions, as well as plugin/tool integration. Implement and automate security controls for secure agent deployment (sandboxing, RBAC/ABAC, policy enforcement, prompt injection/jailbreak mitigations). Ensure traceability and compliance by mapping agentic AI controls to regulatory frameworks (e.g., SOC 2, ISO 27001, NIST , GDPR/CCPA). Agentic AI Security Engineering Design, implement, and continuously improve security for agentic AI systems, including secure orchestration protocols such as A2A, A2P, MCP, and related agentic communication and coordination patterns. Build and test secure-by-design agentic AI features, including runtime isolation, egress controls, audit trails, and observability (telemetry, prompt/result logging, risk scoring). Embed LLMOps/MLOps security into CI/CD (model artifact scanning, SBOMs, policy-as-code, attestation, controlled promotion). Continuously evaluate agent safety with adversarial prompts, scenario-based testing, drift/hallucination detection, and bias/fairness assessments. AI Security Testing Strategy & Pentesting Develop and execute a comprehensive AI security and penetration testing strategy for agentic AI applications and systems, with a focus on protocol-level security for A2A, A2P, MCP, and other agentic communication patterns. Lead offensive security assessments, including adversarial prompt testing, agent misuse scenarios, and vulnerability identification in agentic AI deployments. Collaborate with engineering teams to remediate findings and strengthen security posture across AI-enabled applications. Governance, Stakeholder Enablement & Metrics Define and operationalize agentic AI security policies, standards, and playbooks for engineering teams, including secure usage of agentic protocols (A2A, A2P, MCP, etc.). Lead secure SDLC and AI Security enablement: deliver secure coding guidelines, threat modeling workshops, and prompt hygiene training. Effectively communicate risk, security posture, and value trade-offs to business stakeholders and executives. Present security metrics, dashboards, and reports on application/AI security KPIs, incidents, and risk reduction to both technical and non-technical audiences. Partner with Cloud, Data Science, and Platform teams to deliver secure agentic AI features while maintaining a strong security posture. What We're Looking For Required Qualifications 10+ years in Application Security or Security Engineering. 5+ years in secure SDLC roles. 1+ year in AI/ML or LLMOps security. Hands-on multi-cloud experience (AWS/Azure/GCP/OCI) with IAM, KMS, security monitoring, and AI services. Proficiency in secure SDLC automation tools (e.g., SAST, DAST, SCA, IaC scanning). Strong knowledge of agentic AI/LLM stacks (RAG, vector DBs, agent orchestration, prompt engineering, policy guardrails), with hands-on experience in agentic protocols such as A2A, A2P, MCP, and related patterns. Experience with threat modeling, offensive testing, and application security for AI/ML systems. Understanding of privacy and compliance requirements for AI-enabled applications. Preferred Qualifications Experience deploying agentic AI or LLM-based applications with secure toolchains and runtime isolation. Familiarity with confidential computing, privacy-preserving ML, and explainable AI. Background in regulated industries (e.g., financial services, healthcare). Security and cloud certifications: CISSP, CCSP, CISM, OSCP, CKA, AWS/Azure/GCP security specialties. Compensation & Benefits Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $165,000 - $215,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. What's In It For You? What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here () . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: click apply for full job details
Feb 13, 2026
Full time
About the Role Grade Level (for internal use): 13 The role: AI Application Security Architect Location: New Jersey, US or London, UK Role Summary We are seeking a highly skilled professional to drive the secure development lifecycle (SDLC) of agentic AI systems and applications across multi-cloud (AWS, Azure, GCP) and hybrid/on-prem environments. This role will focus on embedding robust application security controls, performing secure SDLC reviews, and leading the design and automation of security validation for agentic AI and LLM-powered solutions. The ideal candidate blends hands-on security engineering expertise with practical experience in AI/ML, MLOps/LLMOps, and secure application architecture, delivering resilient, compliant, and business-aligned agentic AI systems. Key Responsibilities Application Security & SDLC Automation Integrate security best practices throughout the SDLC for agentic AI applications, from design and code to deployment and operations. Develop and maintain automated security testing pipelines (SAST, DAST, SCA) for AI agents, APIs, and orchestration layers. Conduct security code reviews and threat modeling for agentic AI, focusing on model inputs/outputs, agent-to-agent (A2A), agent-to-process (A2P), and multi-agent control plane (MCP) interactions, as well as plugin/tool integration. Implement and automate security controls for secure agent deployment (sandboxing, RBAC/ABAC, policy enforcement, prompt injection/jailbreak mitigations). Ensure traceability and compliance by mapping agentic AI controls to regulatory frameworks (e.g., SOC 2, ISO 27001, NIST , GDPR/CCPA). Agentic AI Security Engineering Design, implement, and continuously improve security for agentic AI systems, including secure orchestration protocols such as A2A, A2P, MCP, and related agentic communication and coordination patterns. Build and test secure-by-design agentic AI features, including runtime isolation, egress controls, audit trails, and observability (telemetry, prompt/result logging, risk scoring). Embed LLMOps/MLOps security into CI/CD (model artifact scanning, SBOMs, policy-as-code, attestation, controlled promotion). Continuously evaluate agent safety with adversarial prompts, scenario-based testing, drift/hallucination detection, and bias/fairness assessments. AI Security Testing Strategy & Pentesting Develop and execute a comprehensive AI security and penetration testing strategy for agentic AI applications and systems, with a focus on protocol-level security for A2A, A2P, MCP, and other agentic communication patterns. Lead offensive security assessments, including adversarial prompt testing, agent misuse scenarios, and vulnerability identification in agentic AI deployments. Collaborate with engineering teams to remediate findings and strengthen security posture across AI-enabled applications. Governance, Stakeholder Enablement & Metrics Define and operationalize agentic AI security policies, standards, and playbooks for engineering teams, including secure usage of agentic protocols (A2A, A2P, MCP, etc.). Lead secure SDLC and AI Security enablement: deliver secure coding guidelines, threat modeling workshops, and prompt hygiene training. Effectively communicate risk, security posture, and value trade-offs to business stakeholders and executives. Present security metrics, dashboards, and reports on application/AI security KPIs, incidents, and risk reduction to both technical and non-technical audiences. Partner with Cloud, Data Science, and Platform teams to deliver secure agentic AI features while maintaining a strong security posture. What We're Looking For Required Qualifications 10+ years in Application Security or Security Engineering. 5+ years in secure SDLC roles. 1+ year in AI/ML or LLMOps security. Hands-on multi-cloud experience (AWS/Azure/GCP/OCI) with IAM, KMS, security monitoring, and AI services. Proficiency in secure SDLC automation tools (e.g., SAST, DAST, SCA, IaC scanning). Strong knowledge of agentic AI/LLM stacks (RAG, vector DBs, agent orchestration, prompt engineering, policy guardrails), with hands-on experience in agentic protocols such as A2A, A2P, MCP, and related patterns. Experience with threat modeling, offensive testing, and application security for AI/ML systems. Understanding of privacy and compliance requirements for AI-enabled applications. Preferred Qualifications Experience deploying agentic AI or LLM-based applications with secure toolchains and runtime isolation. Familiarity with confidential computing, privacy-preserving ML, and explainable AI. Background in regulated industries (e.g., financial services, healthcare). Security and cloud certifications: CISSP, CCSP, CISM, OSCP, CKA, AWS/Azure/GCP security specialties. Compensation & Benefits Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $165,000 - $215,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. What's In It For You? What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here () . Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: click apply for full job details
Job description Site Name: USA - Pennsylvania - Upper Providence, Cambridge 300 Technology Square, UK - Hertfordshire - Stevenage Posted Date: Feb 6 2026 At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Position Summary We are seeking a talented and motivated individual to join our team as a Principal Scientist/Senior Principal Scientist in Applied Genetics within the R&D Translational Sciences team. The R&D Translational Sciences group generates and applies human genetics, genomics, and biomarker insights into key GSK disease areas and product strategies. The successful candidate will have experience in human genetics, statistical genetics, genetic epidemiology, or a related discipline with high computational skills, and will be excited to apply their expertise in human genetics to the development of new medicines. The Principal Scientist/Senior Principal Scientist will be responsible for performing human genetics & statistical genetics analyses in key disease areas, evaluating genetic evidence and causal biology in support of therapeutic target hypotheses, evaluating and implementing new analytical methods, and effectively communicating their results and interpretation to peers and leaders. They will have experience working in multi-disciplinary teams to answer complex scientific questions. This role will provide you the opportunity to lead key activities to progress your career. Key Responsibilities Apply expertise in human genetics, statistical genetics, genetic epidemiology, or a related discipline to support the development of new medicines. Contribute to the ongoing development and iteration of scaled and automated genetic assessment tools to support the advancing science of drug target identification and validation. Develop and/or critically evaluate new methods to derive and apply genetic insights to support the development of therapeutic target hypotheses. Perform and apply at scale and bespoke computational and statistical analyses (e.g., GWAS, WGS, Mendelian Randomization, rare variant association testing, and variant to gene mapping) and implement new analytical methods to infer molecular mechanisms to elucidate and interrogate therapeutic hypotheses. Evaluate genetic and causal biology evidence to support therapeutic target hypotheses and provide clear and concise communication of results and interpretation to peers and leaders. Collaborate effectively in multi disciplinary teams (internal and external) to answer complex scientific questions. Identify and implement creative solutions to address challenging scientific questions. Why You? Basic Qualifications Ph.D in human genetics, statistical genetics, genetic epidemiology, or related disciplines with strong computational and quantitative focus. Experience in development, critical evaluation and application of analyses methods to answer complex scientific questions. Experience in performing analyses and the interpretation of findings of large scale population based genetic studies (e.g., GWAS and WES/WGS approaches, MR and variant to gene mapping). Experience evaluating and integrating genetic and genomic data to evaluate strength of causal genetic evidence (e.g., QTL mapping & integration, causal inference, pathway enrichment). Proficient in programming/scripting in R or Python and working within cloud based computing platforms (e.g., AWS and/or Google Cloud). Experience in working with genetics databases and resources including key biobanks and disease specific consortia data sources. Preferred Qualifications Experience working in multi disciplinary teams to answer scientific questions and influence scientific plans/project decisions. Excellent communication skills to effectively convey complex scientific concepts to peers and leaders. Proactive and innovative mindset with the ability to identify and implement creative solutions and demonstrated strong problem solving skills. Ability to work flexibly and adapt to changing priorities and timelines. Passion for advancing the science of drug target identification and validation. Experience in software development, both independently and as part of a team, developing well documented solutions that other scientists can use, understand and debug. Strong understanding and experience with implementation of FAIR data principles. Work model This role is based in the United States and follows a hybrid working model under GSK's Performance with Choice approach. You will balance on site collaboration with focused remote work. How to apply If this role matches your skills and purpose, we want to hear from you. Please apply with your CV and a short message describing how your experience maps to the role and the impact you want to make. We welcome applicants from all backgrounds and encourage people who value inclusion, teamwork and learning to apply. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $121,275 to $202,125. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information . click apply for full job details
Feb 13, 2026
Full time
Job description Site Name: USA - Pennsylvania - Upper Providence, Cambridge 300 Technology Square, UK - Hertfordshire - Stevenage Posted Date: Feb 6 2026 At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Position Summary We are seeking a talented and motivated individual to join our team as a Principal Scientist/Senior Principal Scientist in Applied Genetics within the R&D Translational Sciences team. The R&D Translational Sciences group generates and applies human genetics, genomics, and biomarker insights into key GSK disease areas and product strategies. The successful candidate will have experience in human genetics, statistical genetics, genetic epidemiology, or a related discipline with high computational skills, and will be excited to apply their expertise in human genetics to the development of new medicines. The Principal Scientist/Senior Principal Scientist will be responsible for performing human genetics & statistical genetics analyses in key disease areas, evaluating genetic evidence and causal biology in support of therapeutic target hypotheses, evaluating and implementing new analytical methods, and effectively communicating their results and interpretation to peers and leaders. They will have experience working in multi-disciplinary teams to answer complex scientific questions. This role will provide you the opportunity to lead key activities to progress your career. Key Responsibilities Apply expertise in human genetics, statistical genetics, genetic epidemiology, or a related discipline to support the development of new medicines. Contribute to the ongoing development and iteration of scaled and automated genetic assessment tools to support the advancing science of drug target identification and validation. Develop and/or critically evaluate new methods to derive and apply genetic insights to support the development of therapeutic target hypotheses. Perform and apply at scale and bespoke computational and statistical analyses (e.g., GWAS, WGS, Mendelian Randomization, rare variant association testing, and variant to gene mapping) and implement new analytical methods to infer molecular mechanisms to elucidate and interrogate therapeutic hypotheses. Evaluate genetic and causal biology evidence to support therapeutic target hypotheses and provide clear and concise communication of results and interpretation to peers and leaders. Collaborate effectively in multi disciplinary teams (internal and external) to answer complex scientific questions. Identify and implement creative solutions to address challenging scientific questions. Why You? Basic Qualifications Ph.D in human genetics, statistical genetics, genetic epidemiology, or related disciplines with strong computational and quantitative focus. Experience in development, critical evaluation and application of analyses methods to answer complex scientific questions. Experience in performing analyses and the interpretation of findings of large scale population based genetic studies (e.g., GWAS and WES/WGS approaches, MR and variant to gene mapping). Experience evaluating and integrating genetic and genomic data to evaluate strength of causal genetic evidence (e.g., QTL mapping & integration, causal inference, pathway enrichment). Proficient in programming/scripting in R or Python and working within cloud based computing platforms (e.g., AWS and/or Google Cloud). Experience in working with genetics databases and resources including key biobanks and disease specific consortia data sources. Preferred Qualifications Experience working in multi disciplinary teams to answer scientific questions and influence scientific plans/project decisions. Excellent communication skills to effectively convey complex scientific concepts to peers and leaders. Proactive and innovative mindset with the ability to identify and implement creative solutions and demonstrated strong problem solving skills. Ability to work flexibly and adapt to changing priorities and timelines. Passion for advancing the science of drug target identification and validation. Experience in software development, both independently and as part of a team, developing well documented solutions that other scientists can use, understand and debug. Strong understanding and experience with implementation of FAIR data principles. Work model This role is based in the United States and follows a hybrid working model under GSK's Performance with Choice approach. You will balance on site collaboration with focused remote work. How to apply If this role matches your skills and purpose, we want to hear from you. Please apply with your CV and a short message describing how your experience maps to the role and the impact you want to make. We welcome applicants from all backgrounds and encourage people who value inclusion, teamwork and learning to apply. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $121,275 to $202,125. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information . click apply for full job details
Personnel Link Employment Group
St. Albans, Hertfordshire
Senior Supply Chain Manager Location: St Albans Salary: £50,000 to £60,000 per year Hours: 9am to 5.30pm, Monday to Friday Overview We are recruiting a Senior Supply Chain Manager on behalf of our client, a specialist business that designs, builds, and supplies high performance computing hardware. This includes servers, storage systems, and workstations used for demanding commercial and scientific workloads. This is a senior operational role with responsibility for end to end supply chain activity, team leadership, and ensuring goods move efficiently and compliantly from supplier to customer. You will manage both the Logistics Manager and the Warehouse Manager, overseeing their teams and setting direction across operations. This role may also suit candidates from backgrounds such as Operations Manager, Supply Chain Lead, Logistics Manager, Head of Supply Chain, or Warehouse and Distribution Manager within technology, manufacturing, engineering, electronics, or hardware focused environments. What You'll Do Lead and develop the supply chain, logistics, and warehouse functions Manage and support the Logistics Manager and Warehouse Manager, including oversight of their teams Plan and optimise supply chain operations to support production and customer demand Oversee inbound and outbound logistics, including international shipments Ensure compliance with export control regulations and relevant trade requirements Work closely with procurement, production, and senior leadership to align operations Identify risks, improve processes, and drive efficiency across the supply chain Maintain strong supplier and partner relationships What We're Looking For Proven experience in operations management or supply chain management A relevant qualification in operations management, supply chain, or a related discipline Experience leading managers and teams within a logistics, warehouse, or supply chain environment Strong organisational and problem solving skills Confidence working in a technical, manufacturing, or hardware focused business Nice to Have Experience in supply chain management, logistics, and compliance Knowledge of export control and international shipping regulations Background in technology, engineering, manufacturing, or scientific industries Who Might Suit This Role This role could be a great fit for someone currently working as a Senior Operations Manager, Supply Chain Manager, Logistics Manager, or Warehouse Operations Manager looking to step into a broader leadership role. Candidates from industries such as technology manufacturing, electronics, data centre hardware, scientific equipment, or industrial supply chains may find their experience highly transferable. If you have experience in supply chain management and are looking for a straightforward, well organised role with regular hours, this is a great opportunity to consider.
Feb 12, 2026
Full time
Senior Supply Chain Manager Location: St Albans Salary: £50,000 to £60,000 per year Hours: 9am to 5.30pm, Monday to Friday Overview We are recruiting a Senior Supply Chain Manager on behalf of our client, a specialist business that designs, builds, and supplies high performance computing hardware. This includes servers, storage systems, and workstations used for demanding commercial and scientific workloads. This is a senior operational role with responsibility for end to end supply chain activity, team leadership, and ensuring goods move efficiently and compliantly from supplier to customer. You will manage both the Logistics Manager and the Warehouse Manager, overseeing their teams and setting direction across operations. This role may also suit candidates from backgrounds such as Operations Manager, Supply Chain Lead, Logistics Manager, Head of Supply Chain, or Warehouse and Distribution Manager within technology, manufacturing, engineering, electronics, or hardware focused environments. What You'll Do Lead and develop the supply chain, logistics, and warehouse functions Manage and support the Logistics Manager and Warehouse Manager, including oversight of their teams Plan and optimise supply chain operations to support production and customer demand Oversee inbound and outbound logistics, including international shipments Ensure compliance with export control regulations and relevant trade requirements Work closely with procurement, production, and senior leadership to align operations Identify risks, improve processes, and drive efficiency across the supply chain Maintain strong supplier and partner relationships What We're Looking For Proven experience in operations management or supply chain management A relevant qualification in operations management, supply chain, or a related discipline Experience leading managers and teams within a logistics, warehouse, or supply chain environment Strong organisational and problem solving skills Confidence working in a technical, manufacturing, or hardware focused business Nice to Have Experience in supply chain management, logistics, and compliance Knowledge of export control and international shipping regulations Background in technology, engineering, manufacturing, or scientific industries Who Might Suit This Role This role could be a great fit for someone currently working as a Senior Operations Manager, Supply Chain Manager, Logistics Manager, or Warehouse Operations Manager looking to step into a broader leadership role. Candidates from industries such as technology manufacturing, electronics, data centre hardware, scientific equipment, or industrial supply chains may find their experience highly transferable. If you have experience in supply chain management and are looking for a straightforward, well organised role with regular hours, this is a great opportunity to consider.
Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills. What's in it for you? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details
Feb 12, 2026
Full time
Are you a curious and open-minded individual with an interest in conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings into concrete deliverables and engaging with the academic community. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ) We work collaboratively both with TR Labs (TR's applied research division), academic partners at world-leading research institutions and subject matter experts with decades of experience. We experiment, prototype, test, and deliver ideas in the pursuit of smarter and more valuable models trained on an unprecedented wealth of data and powered by state-of-the-art technical infrastructure. Through our unique institutional experience, we have access to an unprecedented number of subject matter experts involved in data collection, testing and evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs is known for consistently delivering successful data-driven ML solutions in pursuit of academic excellence and support of high-growth products that serve Thomson Reuters customers in new and exciting ways. About the role In this opportunity, as a Research Scientist you will: Innovate: You will innovate and create new state-of-the-art Agent AI/LLM Agent approaches at the cutting edge of AI research. You will contribute ideas and work on solving real-world challenges using a wealth of data in agentic contexts. Experiment and develop: You are involved in the entire research & model development lifecycle, brainstorming, coding, testing, and delivering high-quality reports at leading international academic conferences. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities. Communicate: Actively engage in sharing our technical findings with the wider community through contributions to seminars, lectures, conferences and/or the sharing of publications and/or technical assets (data & models). About you You're a fit for the role if your background includes: Completed or in the process of obtaining PhD in a relevant discipline. First-author publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination. Familiarity with one or more deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ). Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems. Self-driven attitude and ability of working with limited supervision. Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity. Preferred qualifications High-impact publications in top-tier conferences or other influence in the research community. Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ). Extensive experience with deep learning frameworks and large-scale model training. Extensive experience working on agent-based systems, tool-using AI, or multi-agent coordination in LLM contexts (e.g. startup, industry, or extensive open-source experience). Strong software and/or infrastructure engineering skills and ensuring well-managed software delivery, as evidenced by code contributions to popular open-source libraries or writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft Azure, LambdaLabs or Google Cloud. You will enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods and technologies. Plenty of data, compute, and high-impact problems: Our scientists and engineers get to explore large datasets and discover new capabilities and insights. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate, and tax & accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data. We also provide access to all major cloud computing platforms to our researchers and engineers. Competitive compensation & benefits packages: The opportunity to earn while learning new skills. What's in it for you? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status . click apply for full job details
Huawei Technologies Research & Development (UK) Ltd
Cambridge, Cambridgeshire
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: staying customer-centric, inspiring dedication, persevering, Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Your Role As the Chief AI System Software & Hardware Co-design Architect at Huawei, you will be at the helm of pioneering Huawei's AI system into a new era. Your role involves: Shaping the Future of AI: Take charge of advancing the technical edge of Huawei's AI processors. You will delve into the core technologies driving NPU chips, setting the direction for ground-breaking innovations. Strategizing for Global Impact: Craft and steer comprehensive evolution strategies and roadmaps. Your vision will chart the course for Huawei's dominance in the AI system domain. Integrate Cutting-Edge Technologies: Spearhead the integration of diverse AI sub-domains including memory hierarchy, interconnect topology, application algorithms, frameworks, runtime environments, modelling, simulation, SDK and compilers. Your expertise will be crucial in synthesizing these elements from a system-centric view, crafting a competitive end-to-end architectural landscape. Lead in AI Evolution: Stay ahead of the curve in AI industry and technology trends. Your role involves deeply understanding and predicting the future of AI applications and algorithms. You'll be instrumental in developing key technical architectures for foundational AI software and hardware, addressing critical usability and performance challenges in comprehensive AI solutions. Guide and Inspire Technical Teams: As a leader, you will orchestrate the lifecycle management of complex technical projects. Your role extends beyond our headquarters, identifying and leveraging global resources to enhance project outcomes. Your leadership will be pivotal in shaping the overall architectural design and driving successful project execution. We Seek: Visionaries with rich experience in optimizing AI chip architectures and systems. Strategic thinkers familiar with AI industry applications and trends, and have comprehensive capabilities from applications to basic software to chips. Bring your comprehensive knowledge of AI industry applications to the forefront. Be adept in navigating through the evolving landscape of mainstream AI models and algorithm trends. Your expertise will be invaluable in discerning nuanced requirements for the chip layer, setting the foundation for innovative processor development. Mastery in Technical Problem-Solving. Exhibit your proficiency in identifying and addressing critical bottlenecks, particularly in challenging domains like Natural Language Processing (NLP) and large-scale AI models. Your ability to pinpoint and resolve these key issues is vital, propelling the evolution of our software architecture to new heights of efficiency and effectiveness. Pioneer in Strategic Development and Innovation. Assume a pivotal role in steering the planning and architectural design for cutting-edge chip technologies and foundational system software. Your leadership will be essential in guiding our R&D team to successfully develop and implement sophisticated AI software and hardware systems, setting new standards in the industry. Desired: Experience in enhancing software usability. Proficiency across AI sub-fields, including application algorithms, frameworks, runtime, modelling, simulation and compilers. Track record of transforming academic research into commercial successes. What we offer 33 days annual leave entitlement per year (including UK public holidays) Group Personal Pension Life insurance Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development
Feb 12, 2026
Full time
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: staying customer-centric, inspiring dedication, persevering, Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Your Role As the Chief AI System Software & Hardware Co-design Architect at Huawei, you will be at the helm of pioneering Huawei's AI system into a new era. Your role involves: Shaping the Future of AI: Take charge of advancing the technical edge of Huawei's AI processors. You will delve into the core technologies driving NPU chips, setting the direction for ground-breaking innovations. Strategizing for Global Impact: Craft and steer comprehensive evolution strategies and roadmaps. Your vision will chart the course for Huawei's dominance in the AI system domain. Integrate Cutting-Edge Technologies: Spearhead the integration of diverse AI sub-domains including memory hierarchy, interconnect topology, application algorithms, frameworks, runtime environments, modelling, simulation, SDK and compilers. Your expertise will be crucial in synthesizing these elements from a system-centric view, crafting a competitive end-to-end architectural landscape. Lead in AI Evolution: Stay ahead of the curve in AI industry and technology trends. Your role involves deeply understanding and predicting the future of AI applications and algorithms. You'll be instrumental in developing key technical architectures for foundational AI software and hardware, addressing critical usability and performance challenges in comprehensive AI solutions. Guide and Inspire Technical Teams: As a leader, you will orchestrate the lifecycle management of complex technical projects. Your role extends beyond our headquarters, identifying and leveraging global resources to enhance project outcomes. Your leadership will be pivotal in shaping the overall architectural design and driving successful project execution. We Seek: Visionaries with rich experience in optimizing AI chip architectures and systems. Strategic thinkers familiar with AI industry applications and trends, and have comprehensive capabilities from applications to basic software to chips. Bring your comprehensive knowledge of AI industry applications to the forefront. Be adept in navigating through the evolving landscape of mainstream AI models and algorithm trends. Your expertise will be invaluable in discerning nuanced requirements for the chip layer, setting the foundation for innovative processor development. Mastery in Technical Problem-Solving. Exhibit your proficiency in identifying and addressing critical bottlenecks, particularly in challenging domains like Natural Language Processing (NLP) and large-scale AI models. Your ability to pinpoint and resolve these key issues is vital, propelling the evolution of our software architecture to new heights of efficiency and effectiveness. Pioneer in Strategic Development and Innovation. Assume a pivotal role in steering the planning and architectural design for cutting-edge chip technologies and foundational system software. Your leadership will be essential in guiding our R&D team to successfully develop and implement sophisticated AI software and hardware systems, setting new standards in the industry. Desired: Experience in enhancing software usability. Proficiency across AI sub-fields, including application algorithms, frameworks, runtime, modelling, simulation and compilers. Track record of transforming academic research into commercial successes. What we offer 33 days annual leave entitlement per year (including UK public holidays) Group Personal Pension Life insurance Private medical insurance Medical expense claim scheme Employee Assistance Program Cycle to work scheme Company sports club and social events Additional time off for learning and development
Overview Head of Software Engineering-AI start up-Series B Our client is a series B AI start up. We are seeking an experienced and visionary Head of Software Engineering to lead our engineering team. This role is crucial in shaping and executing our software development strategy, ensuring the delivery of innovative and reliable solutions. The ideal candidate will possess a strong technical background, proven leadership skills. Key Responsibilities Strategic Leadership: Develop and implement a comprehensive software development strategy aligned with company's mission and objectives. Team Management: Lead, mentor, and expand a high-performing team of software engineers, fostering a culture of innovation and continuous improvement. Collaboration: Work closely with cross-functional teams, including data science, product, and marketing, to integrate software solutions that enhance outcomes and user experiences. Project Oversight: Oversee the end-to-end execution of software development projects, from ideation to deployment, ensuring they meet quality standards and timelines. Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Minimum of 8 years of experience in software engineering roles, with at least 3 years in a leadership position. Proven track record of successfully leading software engineering teams and projects in Tech start ups Proficiency in programming languages such as Python, Java, or C++, and experience with modern software development frameworks and tools. Strong understanding of software architecture, cloud computing, and scalable system design. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Demonstrated ability to think strategically and execute methodically in a fast-paced environment. About the job Contract Type: Permanent Focus: Software Development/Engineering Workplace Type: Hybrid Experience Level: Director Location: London Contract Type: Permanent Specialism: Technology & Digital Industry: Engineering Salary: £180,000 - £200,000 per annum Workplace Type: Hybrid Experience Level: Director Location: London FULL_TIME Job Reference: EAFVG5-0F4417F1 Date posted: 19 February 2025 Consultant: Karen Cordner Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates london information-technology/software-engineering 2025-02 04-20 engineering London London GB GBP YEAR Robert Walters
Feb 10, 2026
Full time
Overview Head of Software Engineering-AI start up-Series B Our client is a series B AI start up. We are seeking an experienced and visionary Head of Software Engineering to lead our engineering team. This role is crucial in shaping and executing our software development strategy, ensuring the delivery of innovative and reliable solutions. The ideal candidate will possess a strong technical background, proven leadership skills. Key Responsibilities Strategic Leadership: Develop and implement a comprehensive software development strategy aligned with company's mission and objectives. Team Management: Lead, mentor, and expand a high-performing team of software engineers, fostering a culture of innovation and continuous improvement. Collaboration: Work closely with cross-functional teams, including data science, product, and marketing, to integrate software solutions that enhance outcomes and user experiences. Project Oversight: Oversee the end-to-end execution of software development projects, from ideation to deployment, ensuring they meet quality standards and timelines. Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Minimum of 8 years of experience in software engineering roles, with at least 3 years in a leadership position. Proven track record of successfully leading software engineering teams and projects in Tech start ups Proficiency in programming languages such as Python, Java, or C++, and experience with modern software development frameworks and tools. Strong understanding of software architecture, cloud computing, and scalable system design. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Demonstrated ability to think strategically and execute methodically in a fast-paced environment. About the job Contract Type: Permanent Focus: Software Development/Engineering Workplace Type: Hybrid Experience Level: Director Location: London Contract Type: Permanent Specialism: Technology & Digital Industry: Engineering Salary: £180,000 - £200,000 per annum Workplace Type: Hybrid Experience Level: Director Location: London FULL_TIME Job Reference: EAFVG5-0F4417F1 Date posted: 19 February 2025 Consultant: Karen Cordner Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates london information-technology/software-engineering 2025-02 04-20 engineering London London GB GBP YEAR Robert Walters
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Principal Consultant - Azure AI Engineer / Lead (ITO098519) Principal Consultant - Azure AI Engineer / Lead - ITO098519 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Role Inviting Applications for the role of Principal Consultant - Azure AI Engineer / Lead Responsibilities Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). Model Deployment & Management: Implement robust MLOps practices for CI/CD, monitoring, and retraining of machine learning models in Azure. Data Pipelining: Build and optimize scalable data pipelines for ingesting, transforming, and preparing large datasets for AI model training and inference. Performance Optimization: Optimize AI models and their serving infrastructure for performance, cost-efficiency, and scalability. Collaboration: Work with data scientists to operationalize models, provide feedback on model design for production readiness, and ensure seamless integration with existing systems. Troubleshooting & Support: Diagnose and resolve issues related to AI/ML deployments, data pipelines, and Azure infrastructure. Security & Compliance: Ensure AI solutions adhere to best practices for data security, privacy, and compliance within the Azure ecosystem. Documentation: Create comprehensive documentation for AI solution architectures, deployment procedures, and operational guidelines. Stay Current: Keep abreast of the latest advancements in Azure AI services, machine learning technologies, and MLOps trends. Qualifications Minimum Qualifications Bachelor's or master's degree in computer science, Engineering, Data Science, or a related quantitative field. Relevant years of experience in developing and deploying AI/ML solutions, with a strong focus on Microsoft Azure. Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Demonstrated experience with Azure Machine Learning, including MLOps concepts, model registration, deployment (AKS, ACI), and monitoring. Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics. Solid understanding of software engineering principles, including version control (Git), testing, and code review. Experience with containerization technologies (Docker, Kubernetes). Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication and interpersonal skills. Preferred Qualifications/ Skills Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate). Experience with Azure Cognitive Services (e.g., Language, Vision, Speech) or Azure Bot Service. Familiarity with streaming data processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics). Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions). Understanding of distributed computing concepts and big data technologies. Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP). Why join Genpact? Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
Feb 08, 2026
Full time
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Principal Consultant - Azure AI Engineer / Lead (ITO098519) Principal Consultant - Azure AI Engineer / Lead - ITO098519 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Role Inviting Applications for the role of Principal Consultant - Azure AI Engineer / Lead Responsibilities Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). Model Deployment & Management: Implement robust MLOps practices for CI/CD, monitoring, and retraining of machine learning models in Azure. Data Pipelining: Build and optimize scalable data pipelines for ingesting, transforming, and preparing large datasets for AI model training and inference. Performance Optimization: Optimize AI models and their serving infrastructure for performance, cost-efficiency, and scalability. Collaboration: Work with data scientists to operationalize models, provide feedback on model design for production readiness, and ensure seamless integration with existing systems. Troubleshooting & Support: Diagnose and resolve issues related to AI/ML deployments, data pipelines, and Azure infrastructure. Security & Compliance: Ensure AI solutions adhere to best practices for data security, privacy, and compliance within the Azure ecosystem. Documentation: Create comprehensive documentation for AI solution architectures, deployment procedures, and operational guidelines. Stay Current: Keep abreast of the latest advancements in Azure AI services, machine learning technologies, and MLOps trends. Qualifications Minimum Qualifications Bachelor's or master's degree in computer science, Engineering, Data Science, or a related quantitative field. Relevant years of experience in developing and deploying AI/ML solutions, with a strong focus on Microsoft Azure. Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Demonstrated experience with Azure Machine Learning, including MLOps concepts, model registration, deployment (AKS, ACI), and monitoring. Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics. Solid understanding of software engineering principles, including version control (Git), testing, and code review. Experience with containerization technologies (Docker, Kubernetes). Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication and interpersonal skills. Preferred Qualifications/ Skills Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate). Experience with Azure Cognitive Services (e.g., Language, Vision, Speech) or Azure Bot Service. Familiarity with streaming data processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics). Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions). Understanding of distributed computing concepts and big data technologies. Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP). Why join Genpact? Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
