Senior Computer Vision Engineer - Deep Learning Salary: 70,000 to 95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may also be considered. MFK Recruitment is recruiting a Senior Computer Vision Engineer for an innovative UK technology company working at the forefront of computer vision, perception and autonomy. The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create AI systems that are accurate, robust and reliable. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. This speaks volumes about the culture, technical challenges and long-term opportunities available. Senior Computer Vision Engineer role You will design, develop and deploy production-grade computer vision systems using modern deep learning techniques, with a particular focus on Convolutional Neural Networks and Vision Transformers. This is a hands-on engineering role for someone comfortable working across research, software development and real-world deployment. You will help translate recent AI research into reliable products used within demanding defence and security environments. The position is predominantly office and customer-site based in West London, although some remote working will be available. Senior Computer Vision Engineer responsibilities Design, develop and optimise computer vision models using CNNs, Vision Transformers and related deep learning architectures. Develop customised neural networks, training strategies, loss functions and evaluation metrics. Implement and adapt techniques from recent AI and computer vision research. Build scalable training, validation, evaluation and inference pipelines. Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. Translate research outputs into maintainable, production-quality software. Collaborate with Software Engineers, Researchers, Technical Leaders and customers. Contribute to architecture decisions, testing and CI/CD practices. Support the deployment of computer vision systems into customer environments. Essential experience Strong commercial experience developing deep learning solutions for computer vision. Excellent Python development skills. Commercial experience using PyTorch. TensorFlow experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable AI systems into production. Strong software engineering practices, including Git, testing, code reviews and CI/CD. Excellent analytical, problem-solving and communication skills. Desirable experience Vision Transformer architectures. Object detection, tracking, segmentation or pose estimation. Multi-object localisation or multi-modal perception systems. GPU optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation, Unreal Engine or NVIDIA Omniverse. Distributed training and large-scale model optimisation. Defence, government or national security projects. An MSc or PhD in Computer Vision, Artificial Intelligence, Machine Learning, Robotics or a related subject. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing clearance is advantageous but is not required for every appointment. Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. A shorter period of UK residency or time spent overseas will not necessarily prevent clearance, but eligibility will be assessed individually by the sponsoring authority.
01/09/2026
Full time
Senior Computer Vision Engineer - Deep Learning Salary: 70,000 to 95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may also be considered. MFK Recruitment is recruiting a Senior Computer Vision Engineer for an innovative UK technology company working at the forefront of computer vision, perception and autonomy. The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create AI systems that are accurate, robust and reliable. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. This speaks volumes about the culture, technical challenges and long-term opportunities available. Senior Computer Vision Engineer role You will design, develop and deploy production-grade computer vision systems using modern deep learning techniques, with a particular focus on Convolutional Neural Networks and Vision Transformers. This is a hands-on engineering role for someone comfortable working across research, software development and real-world deployment. You will help translate recent AI research into reliable products used within demanding defence and security environments. The position is predominantly office and customer-site based in West London, although some remote working will be available. Senior Computer Vision Engineer responsibilities Design, develop and optimise computer vision models using CNNs, Vision Transformers and related deep learning architectures. Develop customised neural networks, training strategies, loss functions and evaluation metrics. Implement and adapt techniques from recent AI and computer vision research. Build scalable training, validation, evaluation and inference pipelines. Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. Translate research outputs into maintainable, production-quality software. Collaborate with Software Engineers, Researchers, Technical Leaders and customers. Contribute to architecture decisions, testing and CI/CD practices. Support the deployment of computer vision systems into customer environments. Essential experience Strong commercial experience developing deep learning solutions for computer vision. Excellent Python development skills. Commercial experience using PyTorch. TensorFlow experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable AI systems into production. Strong software engineering practices, including Git, testing, code reviews and CI/CD. Excellent analytical, problem-solving and communication skills. Desirable experience Vision Transformer architectures. Object detection, tracking, segmentation or pose estimation. Multi-object localisation or multi-modal perception systems. GPU optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation, Unreal Engine or NVIDIA Omniverse. Distributed training and large-scale model optimisation. Defence, government or national security projects. An MSc or PhD in Computer Vision, Artificial Intelligence, Machine Learning, Robotics or a related subject. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing clearance is advantageous but is not required for every appointment. Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. A shorter period of UK residency or time spent overseas will not necessarily prevent clearance, but eligibility will be assessed individually by the sponsoring authority.
This Global FTSE100 are seeking an AI Product Lead to establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. You will oversee the development and use of data, AI and Automation systems, driving the adoption of centralised solutions across the group. Client Details Global FTSE100 Description This Global FTSE100 are seeking an AI Product Lead to establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. You will be responsible for overseeing the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across the group. Key Responsibilities: Remote management of an offshore team of 12 developers and a growing team of 2 in the UK Solutioning innovative ways to organise AI and automation processes, overseeing data/software development Design, deliver, and support Data, AI, and automation solutions, including analytics, models, dashboards, and related platforms. Own the roadmap for trusted data foundations across the group, covering master/reference data, data quality, governance, cataloguing, traceability, and access controls. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate, advise on new solutions that can improve the effectiveness of organisation. Take a leading role in the growth of the team and support the development of D&A and Divisional team members through coaching and mentoring Provide technical and business leadership across data architecture, integration, visualisation, and emerging AI technologies, ensuring solutions are scalable, secure, and aligned to business needs. Establish and maintain effective data management policies, standards, and operational controls, including code promotion, platform administration, performance monitoring, and compliance with company and legal requirements. Partner with divisional and business stakeholders to shape requirements, resolve data issues, and enable adoption through documentation, training, and user support. Support team effectiveness through mentoring, workload and capacity visibility, regular reporting, and leadership of team engagement activities. Technical Knowledge, Skills and Abilities: Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data security, management, and administration Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Experience in BI tools (PowerBi, OBIEE, Tableau, QlikView etc). Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have) Excellent organisational and project management skills Passionate and curious about new technology and the tech industry General understanding of PaaS Concepts - ideally in MS-Azure Profile Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data security, management, and administration Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Experience in BI tools (PowerBi, OBIEE, Tableau, QlikView etc). Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have) Excellent organisational and project management skills Passionate and curious about new technology and the tech industry General understanding of PaaS Concepts - ideally in MS-Azure Job Offer Opportunity to join a Global FTSE100 Opportunity to deliver AI Enablement & Strategy
01/09/2026
Full time
This Global FTSE100 are seeking an AI Product Lead to establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. You will oversee the development and use of data, AI and Automation systems, driving the adoption of centralised solutions across the group. Client Details Global FTSE100 Description This Global FTSE100 are seeking an AI Product Lead to establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. You will be responsible for overseeing the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across the group. Key Responsibilities: Remote management of an offshore team of 12 developers and a growing team of 2 in the UK Solutioning innovative ways to organise AI and automation processes, overseeing data/software development Design, deliver, and support Data, AI, and automation solutions, including analytics, models, dashboards, and related platforms. Own the roadmap for trusted data foundations across the group, covering master/reference data, data quality, governance, cataloguing, traceability, and access controls. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate, advise on new solutions that can improve the effectiveness of organisation. Take a leading role in the growth of the team and support the development of D&A and Divisional team members through coaching and mentoring Provide technical and business leadership across data architecture, integration, visualisation, and emerging AI technologies, ensuring solutions are scalable, secure, and aligned to business needs. Establish and maintain effective data management policies, standards, and operational controls, including code promotion, platform administration, performance monitoring, and compliance with company and legal requirements. Partner with divisional and business stakeholders to shape requirements, resolve data issues, and enable adoption through documentation, training, and user support. Support team effectiveness through mentoring, workload and capacity visibility, regular reporting, and leadership of team engagement activities. Technical Knowledge, Skills and Abilities: Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data security, management, and administration Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Experience in BI tools (PowerBi, OBIEE, Tableau, QlikView etc). Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have) Excellent organisational and project management skills Passionate and curious about new technology and the tech industry General understanding of PaaS Concepts - ideally in MS-Azure Profile Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Azure Datalake, Databricks, Python (Azure Reference architecture). Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data security, management, and administration Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Experience in BI tools (PowerBi, OBIEE, Tableau, QlikView etc). Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have) Excellent organisational and project management skills Passionate and curious about new technology and the tech industry General understanding of PaaS Concepts - ideally in MS-Azure Job Offer Opportunity to join a Global FTSE100 Opportunity to deliver AI Enablement & Strategy
Machine Learning Engineer - Spiking Neural Networks Salary: 75,000 to 100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. Machine Learning Engineer role You will combine current knowledge of Spiking Neural Networks with strong C++ software development skills to transform advanced research into a practical and usable product. This is a rare opportunity to apply genuine SNN experience to production software with direct operational applications. You will work alongside Researchers, Data Scientists and Engineers on SNNs, machine vision, synthetic training data and related CNN or Transformer-based projects. The position is predominantly office and customer-site based in West London, although some remote working will be available. Machine Learning Engineer responsibilities Apply your knowledge of SNNs to the development of a novel machine vision engine. Develop high-quality C++ software based on research outputs and product requirements. Use machine vision and image-analysis techniques to solve complex engineering challenges. Contribute to projects using CNNs and Transformer networks. Integrate recent Machine Learning algorithms into production software. Support synthetic training-image generation and the curation of real-world ISR imagery. Work closely with Researchers to understand and implement technical solutions. Contribute to system design, version control, testing and CI/CD pipelines. Support colleagues and customers during technical discussions and project delivery. Essential experience Current hands-on experience developing Spiking Neural Networks. Strong C++ programming and software engineering skills. Knowledge of machine vision, image analysis or computer vision. The ability to understand research outputs and transform them into reliable software. Experience developing maintainable code using version control, testing and CI/CD. Strong analytical, problem-solving and communication skills. Desirable experience CUDA and GPU programming. Python and PyTorch. CNNs, Transformers or broader deep learning architectures. Synthetic training imagery and simulation environments. ISR imagery or defence-related machine vision. Commercial software development alongside academic or research experience. An MSc, PhD or postdoctoral background involving SNNs, Computer Vision, AI or Machine Learning. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing security clearance would be highly advantageous. Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. Applicants with a shorter UK residency history may still be considered, subject to the sponsoring authority being able to complete the required checks.
01/09/2026
Full time
Machine Learning Engineer - Spiking Neural Networks Salary: 75,000 to 100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. Machine Learning Engineer role You will combine current knowledge of Spiking Neural Networks with strong C++ software development skills to transform advanced research into a practical and usable product. This is a rare opportunity to apply genuine SNN experience to production software with direct operational applications. You will work alongside Researchers, Data Scientists and Engineers on SNNs, machine vision, synthetic training data and related CNN or Transformer-based projects. The position is predominantly office and customer-site based in West London, although some remote working will be available. Machine Learning Engineer responsibilities Apply your knowledge of SNNs to the development of a novel machine vision engine. Develop high-quality C++ software based on research outputs and product requirements. Use machine vision and image-analysis techniques to solve complex engineering challenges. Contribute to projects using CNNs and Transformer networks. Integrate recent Machine Learning algorithms into production software. Support synthetic training-image generation and the curation of real-world ISR imagery. Work closely with Researchers to understand and implement technical solutions. Contribute to system design, version control, testing and CI/CD pipelines. Support colleagues and customers during technical discussions and project delivery. Essential experience Current hands-on experience developing Spiking Neural Networks. Strong C++ programming and software engineering skills. Knowledge of machine vision, image analysis or computer vision. The ability to understand research outputs and transform them into reliable software. Experience developing maintainable code using version control, testing and CI/CD. Strong analytical, problem-solving and communication skills. Desirable experience CUDA and GPU programming. Python and PyTorch. CNNs, Transformers or broader deep learning architectures. Synthetic training imagery and simulation environments. ISR imagery or defence-related machine vision. Commercial software development alongside academic or research experience. An MSc, PhD or postdoctoral background involving SNNs, Computer Vision, AI or Machine Learning. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing security clearance would be highly advantageous. Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. Applicants with a shorter UK residency history may still be considered, subject to the sponsoring authority being able to complete the required checks.
Director of Strategy & Architecture Stevenage 150,000 + car allowance & bonus Hybrid - 1 day a week Your new company I am working on behalf of a large, privately-owned infrastructure services organisation that plays a critical role in delivering essential services across the UK. Operating at scale, the business supports a workforce of over 10,000 people and is embedded across sectors including energy, water, transport and telecommunications. The organisation is at a pivotal point in its evolution. Having established a strong operational footprint, it is now accelerating its focus on group-wide transformation, investing heavily in its technology landscape, operating model, and long-term strategic capabilities. This is not a business maintaining the status quo; it is one actively reimagining how it operates, how it leverages technology, and how it positions itself for future growth. Your new role This is a high-impact leadership role for an individual who can build architectural capability in an environment that is evolving quickly and investing seriously in its future technology landscape. The remit is not simply to govern architecture in the traditional sense, but to establish the foundations, create the right level of discipline and ensure that technology strategy develops in a way that supports long-term business growth. At its core, the role is about creating a structure where greater maturity is needed. The successful individual will be responsible for defining architecture principles, standards and roadmaps, while also remaining close enough to delivery to modernise systems, address capability gaps, and improve integration and automation across the estate. It is a position for someone who can operate strategically, but who is equally comfortable being hands-on when required. The broader mandate is to create an environment that can support scalable growth. That means making sure technology decisions are not just right for today, but will stand up to the demands of tomorrow, all while balancing an active change agenda and helping shape a more cohesive future state. Data, AI and emerging technologies are expected to play an increasingly important role in that journey, so this will suit someone who understands how to use architecture as an enabler of competitive advantage rather than simply a control function. From a profile perspective, this is likely to appeal to an experienced enterprise architecture leader who has worked in a complex or rapidly scaling organisation and has a track record of putting proper frameworks in place in environments where standards, governance or maturity have previously been inconsistent. The role requires broad architectural depth across applications, data, infrastructure, integration, cloud, security and AI/ML, alongside the judgement to know where to prioritise effort for the greatest commercial impact. What you'll need to succeed The successful individual is likely to be operating currently as a Head of Enterprise Architecture, Chief Architect or in a comparable group-level role within a complex or rapidly scaling organisation. You will bring a proven track record of establishing architecture frameworks in environments where governance, standards and consistency have historically been less defined and will be comfortable setting direction while building capability around them. From a technical standpoint, you'll bring broad, cross-domain expertise. This includes strong understanding across applications, data, infrastructure, integration, cloud and security, alongside a working appreciation of AI and machine learning and how these can be applied in a practical business context. Experience working with data platforms and analytics, coupled with an understanding of data governance, will be key in helping the organisation move towards a more insight-driven, future-ready operating model. There is also an expectation of formal grounding. You'll hold a degree in a relevant discipline such as Information Technology, Computer Science or Business Administration, alongside recognised enterprise architecture framework knowledge (TOGAF) and exposure to cloud environments such as Microsoft Azure. However, style and approach are equally important in this environment. The role requires someone who can translate architecture into clear, commercially relevant language, influencing senior stakeholders and bringing alignment across diverse parts of the business. The right person will be pragmatic, delivery-oriented and able to balance long-term ambition with the realities of an evolving organisation and active change agenda. Ultimately, this will suit an individual who is comfortable operating in ambiguity, who can bring structure without over-engineering, and who takes a hands-on approach to driving progress. Someone who can set a clear architectural vision, but just as importantly, ensure it is implemented in a way that delivers tangible outcomes for the business. What you'll get in return Company car (or allowance) and fuel card with a range of EV and hybrid vehicles to choose from Private health care and health care cash plan for you (and your family) Discretionary bonus scheme 25 days annual leave plus bank holidays Matched or contributory pension scheme What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or contact If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
01/09/2026
Full time
Director of Strategy & Architecture Stevenage 150,000 + car allowance & bonus Hybrid - 1 day a week Your new company I am working on behalf of a large, privately-owned infrastructure services organisation that plays a critical role in delivering essential services across the UK. Operating at scale, the business supports a workforce of over 10,000 people and is embedded across sectors including energy, water, transport and telecommunications. The organisation is at a pivotal point in its evolution. Having established a strong operational footprint, it is now accelerating its focus on group-wide transformation, investing heavily in its technology landscape, operating model, and long-term strategic capabilities. This is not a business maintaining the status quo; it is one actively reimagining how it operates, how it leverages technology, and how it positions itself for future growth. Your new role This is a high-impact leadership role for an individual who can build architectural capability in an environment that is evolving quickly and investing seriously in its future technology landscape. The remit is not simply to govern architecture in the traditional sense, but to establish the foundations, create the right level of discipline and ensure that technology strategy develops in a way that supports long-term business growth. At its core, the role is about creating a structure where greater maturity is needed. The successful individual will be responsible for defining architecture principles, standards and roadmaps, while also remaining close enough to delivery to modernise systems, address capability gaps, and improve integration and automation across the estate. It is a position for someone who can operate strategically, but who is equally comfortable being hands-on when required. The broader mandate is to create an environment that can support scalable growth. That means making sure technology decisions are not just right for today, but will stand up to the demands of tomorrow, all while balancing an active change agenda and helping shape a more cohesive future state. Data, AI and emerging technologies are expected to play an increasingly important role in that journey, so this will suit someone who understands how to use architecture as an enabler of competitive advantage rather than simply a control function. From a profile perspective, this is likely to appeal to an experienced enterprise architecture leader who has worked in a complex or rapidly scaling organisation and has a track record of putting proper frameworks in place in environments where standards, governance or maturity have previously been inconsistent. The role requires broad architectural depth across applications, data, infrastructure, integration, cloud, security and AI/ML, alongside the judgement to know where to prioritise effort for the greatest commercial impact. What you'll need to succeed The successful individual is likely to be operating currently as a Head of Enterprise Architecture, Chief Architect or in a comparable group-level role within a complex or rapidly scaling organisation. You will bring a proven track record of establishing architecture frameworks in environments where governance, standards and consistency have historically been less defined and will be comfortable setting direction while building capability around them. From a technical standpoint, you'll bring broad, cross-domain expertise. This includes strong understanding across applications, data, infrastructure, integration, cloud and security, alongside a working appreciation of AI and machine learning and how these can be applied in a practical business context. Experience working with data platforms and analytics, coupled with an understanding of data governance, will be key in helping the organisation move towards a more insight-driven, future-ready operating model. There is also an expectation of formal grounding. You'll hold a degree in a relevant discipline such as Information Technology, Computer Science or Business Administration, alongside recognised enterprise architecture framework knowledge (TOGAF) and exposure to cloud environments such as Microsoft Azure. However, style and approach are equally important in this environment. The role requires someone who can translate architecture into clear, commercially relevant language, influencing senior stakeholders and bringing alignment across diverse parts of the business. The right person will be pragmatic, delivery-oriented and able to balance long-term ambition with the realities of an evolving organisation and active change agenda. Ultimately, this will suit an individual who is comfortable operating in ambiguity, who can bring structure without over-engineering, and who takes a hands-on approach to driving progress. Someone who can set a clear architectural vision, but just as importantly, ensure it is implemented in a way that delivers tangible outcomes for the business. What you'll get in return Company car (or allowance) and fuel card with a range of EV and hybrid vehicles to choose from Private health care and health care cash plan for you (and your family) Discretionary bonus scheme 25 days annual leave plus bank holidays Matched or contributory pension scheme What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or contact If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)
Job title: Product Manager VisionTrack Video Telematics IoT SaaS Hybrid Tunbridge Wells Help shape real-world solutions in a fast-growing tech business We re working with VisionTrack , one of Europe s leading providers of video telematics and AI-powered fleet technology, as they continue to scale their Solutions Engineering team. This is an exciting opportunity offering the right individual a platform for growth and personal development in a fast moving industry. About the Role We are seeking an experienced Product Manager to lead the strategy, development, and lifecycle of our video telematics products. In this role, you will combine customer insight, commercial awareness, and technical understanding to drive innovation across our camera, AI, and fleet safety platform offerings. You will work closely with engineering, data science, operations, sales, and customer success to deliver best?in?class solutions that improve driver safety, reduce risk, and deliver actionable intelligence to fleet operators. Key Responsibilities Product Strategy & Vision Develop and own the product roadmap for our video telematics portfolio including connected cameras, AI-driven driver monitoring, cloud video platforms, and fleet analytics. Conduct market, competitor, and customer research to define new opportunities and strengthen product market fit. Define clear, data?driven KPIs and success metrics across product initiatives. Product Development & Delivery Translate customer problems into detailed requirements, user stories, and acceptance criteria. Work closely with engineering and hardware teams to ensure timely, high?quality releases of both software and device-based features. Partner with data science to incorporate AI and computer vision capabilities (e.g., ADAS events, driver behaviour detection) into the product. Lead cross-functional sprint planning, prioritisation, and backlog management. Customer & Market Insight Engage directly with fleet customers, partners, and industry stakeholders to validate problems, test prototypes, and gather ongoing feedback. Analyse customer usage data, warranty/failure trends, and product performance to inform product decisions. Champion the voice of the customer across the business. Go?to?Market & Commercialisation Collaborate with Sales, Marketing, and Operations to support product launches and create value?led messaging. Build business cases for new features or product lines, including pricing strategy and commercial impact analysis. Train internal teams on new functionality and serve as a product evangelist. Own production of technical documentation Lifecycle Management Monitor product performance, reliability, and customer satisfaction across hardware and cloud services. Manage end?of?life processes for legacy devices or features. Identify opportunities to reduce costs, improve margin, and streamline operational processes. Required Skills & Experience Proven experience as a Product Manager, ideally in video telematics, IoT, fleet management, or connected devices. Strong understanding of: Cellular and IoT device connectivity Video encoding/streaming Cloud platforms and APIs ADAS/DSM event detection and AI-driven safety systems Ability to balance technical detail with commercial considerations. Excellent communication skills, comfortable working with engineers, executives, and customers. Strong analytical skills with experience using product analytics tools and customer feedback platforms. Demonstrated experience delivering end-to-end product lifecycle management. Preferred (Nice to Have) Experience with: Computer vision or machine learning products Automotive or fleet safety regulations Hardware device certification and testing International telematics markets Agile/Scrum certification (e.g., CSPO). Personal Attributes Customer?obsessed with a passion for solving real?world safety and efficiency challenges. Comfortable making decisions with imperfect or evolving information. Bias for action delivers results and drives clarity. Able to manage multiple priorities and communicate effectively in a fast-paced environment.
01/09/2026
Full time
Job title: Product Manager VisionTrack Video Telematics IoT SaaS Hybrid Tunbridge Wells Help shape real-world solutions in a fast-growing tech business We re working with VisionTrack , one of Europe s leading providers of video telematics and AI-powered fleet technology, as they continue to scale their Solutions Engineering team. This is an exciting opportunity offering the right individual a platform for growth and personal development in a fast moving industry. About the Role We are seeking an experienced Product Manager to lead the strategy, development, and lifecycle of our video telematics products. In this role, you will combine customer insight, commercial awareness, and technical understanding to drive innovation across our camera, AI, and fleet safety platform offerings. You will work closely with engineering, data science, operations, sales, and customer success to deliver best?in?class solutions that improve driver safety, reduce risk, and deliver actionable intelligence to fleet operators. Key Responsibilities Product Strategy & Vision Develop and own the product roadmap for our video telematics portfolio including connected cameras, AI-driven driver monitoring, cloud video platforms, and fleet analytics. Conduct market, competitor, and customer research to define new opportunities and strengthen product market fit. Define clear, data?driven KPIs and success metrics across product initiatives. Product Development & Delivery Translate customer problems into detailed requirements, user stories, and acceptance criteria. Work closely with engineering and hardware teams to ensure timely, high?quality releases of both software and device-based features. Partner with data science to incorporate AI and computer vision capabilities (e.g., ADAS events, driver behaviour detection) into the product. Lead cross-functional sprint planning, prioritisation, and backlog management. Customer & Market Insight Engage directly with fleet customers, partners, and industry stakeholders to validate problems, test prototypes, and gather ongoing feedback. Analyse customer usage data, warranty/failure trends, and product performance to inform product decisions. Champion the voice of the customer across the business. Go?to?Market & Commercialisation Collaborate with Sales, Marketing, and Operations to support product launches and create value?led messaging. Build business cases for new features or product lines, including pricing strategy and commercial impact analysis. Train internal teams on new functionality and serve as a product evangelist. Own production of technical documentation Lifecycle Management Monitor product performance, reliability, and customer satisfaction across hardware and cloud services. Manage end?of?life processes for legacy devices or features. Identify opportunities to reduce costs, improve margin, and streamline operational processes. Required Skills & Experience Proven experience as a Product Manager, ideally in video telematics, IoT, fleet management, or connected devices. Strong understanding of: Cellular and IoT device connectivity Video encoding/streaming Cloud platforms and APIs ADAS/DSM event detection and AI-driven safety systems Ability to balance technical detail with commercial considerations. Excellent communication skills, comfortable working with engineers, executives, and customers. Strong analytical skills with experience using product analytics tools and customer feedback platforms. Demonstrated experience delivering end-to-end product lifecycle management. Preferred (Nice to Have) Experience with: Computer vision or machine learning products Automotive or fleet safety regulations Hardware device certification and testing International telematics markets Agile/Scrum certification (e.g., CSPO). Personal Attributes Customer?obsessed with a passion for solving real?world safety and efficiency challenges. Comfortable making decisions with imperfect or evolving information. Bias for action delivers results and drives clarity. Able to manage multiple priorities and communicate effectively in a fast-paced environment.
Senior Machine Learning Engineer Location: London Hybrid Salary: £60-£80ph Outside IR35 Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning solutions for complex real-world applications. Due to continued growth, they are looking for a Senior Machine Learning Engineer to join their expanding team in London. Required Experience Strong C++ development skills. Experience with CUDA for GPU acceleration. Python and PyTorch experience. Knowledge of Transformers, computer vision or image analysis. Postgraduate or commercial experience within AI/Machine Learning This is an exciting opportunity to work on cutting-edge AI research, developing advanced machine learning technologies that will directly influence innovative real-world products. You'll work alongside a highly skilled team, solving complex technical challenges and shaping the future of AI systems. The company are rapidly expanding and are at the forefront of their industry. They are looking to pay circa £ 60-£80ph outside IR35. The initial duration of the contract is 5 months with possible extension. If you re interested in this Machine Learning Engineer job in London, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation, contact us today.
01/09/2026
Contractor
Senior Machine Learning Engineer Location: London Hybrid Salary: £60-£80ph Outside IR35 Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning solutions for complex real-world applications. Due to continued growth, they are looking for a Senior Machine Learning Engineer to join their expanding team in London. Required Experience Strong C++ development skills. Experience with CUDA for GPU acceleration. Python and PyTorch experience. Knowledge of Transformers, computer vision or image analysis. Postgraduate or commercial experience within AI/Machine Learning This is an exciting opportunity to work on cutting-edge AI research, developing advanced machine learning technologies that will directly influence innovative real-world products. You'll work alongside a highly skilled team, solving complex technical challenges and shaping the future of AI systems. The company are rapidly expanding and are at the forefront of their industry. They are looking to pay circa £ 60-£80ph outside IR35. The initial duration of the contract is 5 months with possible extension. If you re interested in this Machine Learning Engineer job in London, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation, contact us today.
We are looking for an innovative algorithms engineer to join our team, developing next-generation intelligent sensing and computer vision capabilities for challenging defence applications including electro-optic gun fire control systems, ground-based air defence, counter-unmanned aerial systems (C-UAS), multi-domain surveillance, and autonomous platforms. The role involves solving complex real-world perception problems by combining machine learning, computer vision, signal processing, and statistical techniques to improve the ability of systems to detect, classify, track, and understand objects in challenging environments. The successful candidate will have the opportunity to take technical ownership of key capability areas, helping shape future development activities while mentoring others and sharing expertise across the engineering team. Key Responsibilities: Research, develop, and evaluate computer vision algorithms for image classification, fine-grained recognition, object detection, and computer vision applications Investigate challenging technical problems where the solution is not immediately known, developing structured experiments and evidence-based approaches Design and improve datasets, evaluation methodologies, and automated pipelines to accelerate machine learning development Analyse model performance, identify failure modes, and develop innovative solutions to improve real-world capability Develop tools and processes to improve automation, repeatability, and efficiency across the machine learning lifecycle Provide technical guidance and mentoring to other engineers, supporting knowledge sharing and development of computer vision and machine learning capability within the team Keep up to date with advances in computer vision, AI, and machine learning, identifying opportunities to apply emerging technologies Communicate complex technical concepts, experimental results, and recommendations clearly to engineering teams, stakeholders, and customers Support integration, testing, and deployment of algorithms into real-time video processing systems Produce technical documentation, reports, and presentations to support engineering decisions Experience and qualifications: Degree or equivalent experience in a relevant technical discipline such as Computer Science, Artificial Intelligence, Engineering, Mathematics, or Physics Practical experience developing and deploying machine learning or computer vision algorithms in production or near-production systems. Experience with modern computer vision architectures, including object detection, image classification, and transformers. Ability to analyse image datasets using image processing techniques to inform machine learning model development and debugging. Strong problem-solving skills with the ability to break down complex, uncertain problems into achievable steps Ability to take ownership of technical challenges from investigation through to delivery Have excellent communication skills and the ability to explain complex technical concepts clearly Able to evaluate technical trade-offs and select appropriate approaches. Strong programming skills in Python, with experience in C++ for production or performance-critical systems Security Clearance Requirements: Due to the nature of our business, our staff need to be able to obtain UK Security Clearance as a mandated requirement. Therefore, if successful, you will need to provide proof of identity, employment history and right to work in the UK, along with proof of UK residency for at least five years.
01/09/2026
Full time
We are looking for an innovative algorithms engineer to join our team, developing next-generation intelligent sensing and computer vision capabilities for challenging defence applications including electro-optic gun fire control systems, ground-based air defence, counter-unmanned aerial systems (C-UAS), multi-domain surveillance, and autonomous platforms. The role involves solving complex real-world perception problems by combining machine learning, computer vision, signal processing, and statistical techniques to improve the ability of systems to detect, classify, track, and understand objects in challenging environments. The successful candidate will have the opportunity to take technical ownership of key capability areas, helping shape future development activities while mentoring others and sharing expertise across the engineering team. Key Responsibilities: Research, develop, and evaluate computer vision algorithms for image classification, fine-grained recognition, object detection, and computer vision applications Investigate challenging technical problems where the solution is not immediately known, developing structured experiments and evidence-based approaches Design and improve datasets, evaluation methodologies, and automated pipelines to accelerate machine learning development Analyse model performance, identify failure modes, and develop innovative solutions to improve real-world capability Develop tools and processes to improve automation, repeatability, and efficiency across the machine learning lifecycle Provide technical guidance and mentoring to other engineers, supporting knowledge sharing and development of computer vision and machine learning capability within the team Keep up to date with advances in computer vision, AI, and machine learning, identifying opportunities to apply emerging technologies Communicate complex technical concepts, experimental results, and recommendations clearly to engineering teams, stakeholders, and customers Support integration, testing, and deployment of algorithms into real-time video processing systems Produce technical documentation, reports, and presentations to support engineering decisions Experience and qualifications: Degree or equivalent experience in a relevant technical discipline such as Computer Science, Artificial Intelligence, Engineering, Mathematics, or Physics Practical experience developing and deploying machine learning or computer vision algorithms in production or near-production systems. Experience with modern computer vision architectures, including object detection, image classification, and transformers. Ability to analyse image datasets using image processing techniques to inform machine learning model development and debugging. Strong problem-solving skills with the ability to break down complex, uncertain problems into achievable steps Ability to take ownership of technical challenges from investigation through to delivery Have excellent communication skills and the ability to explain complex technical concepts clearly Able to evaluate technical trade-offs and select appropriate approaches. Strong programming skills in Python, with experience in C++ for production or performance-critical systems Security Clearance Requirements: Due to the nature of our business, our staff need to be able to obtain UK Security Clearance as a mandated requirement. Therefore, if successful, you will need to provide proof of identity, employment history and right to work in the UK, along with proof of UK residency for at least five years.
Senior Software Engineer Newcastle upon Tyne - Hybrid Up to 70,000 basic + benefits Relocation package available The Role We're looking for a Senior Software Engineer to join our clients R&D function, reporting directly to the Head of R&D. In this role you'll design and govern the software architecture and CI/CD processes that their engineering team builds within. You'll take ownership of the architectural framework spanning robotics payloads, vehicle automation, computer vision, sensor integration, digital twins, and simulation - ensuring everything they build is scalable, maintainable, and defensible against safety-critical standards. You'll know how to let early-stage prototypes move fast on the right evidential path, without forcing full compliance before it's needed - while making sure the architecture is built to scale to full qualification when the time comes. What You'll Do Define and implement end-to-end software architecture and CI/CD pipelines for remote and autonomous systems Establish unit testing, verification, and validation processes, building the evidence base needed to meet defence safety-critical standards Integrate architecture across control systems, computer vision, sensor fusion, simulation, and digital twin platforms Support system integration, commissioning, and real-world field trials alongside global military end users What You'll Bring Essential: A strong track record in software architecture for safety-critical or compliance-driven systems Hands-on experience with C/C++ and Python in Linux real-time environments Confidence reading electrical schematics and working across the hardware/software boundary Experience implementing CI/CD pipelines for safety-critical software A degree in Software Engineering, Computer Science, or equivalent (2:1 minimum) Nice to Have: Familiarity with ROS/ROS2 Experience with machine learning, OpenCV, or CODESYS/PLC environments A background in automotive safety systems, defence, robotics, or autonomous vehicle development What's In It for You 70,000 basic salary 8% matched pension Free breakfast and lunch daily on-site 35-hour week: Tuesday-Thursday on-site, Monday/Friday from home, with an early finish on Fridays Up to 5,000 relocation allowance for the right candidate Apply today with an up-to-date CV.
01/09/2026
Full time
Senior Software Engineer Newcastle upon Tyne - Hybrid Up to 70,000 basic + benefits Relocation package available The Role We're looking for a Senior Software Engineer to join our clients R&D function, reporting directly to the Head of R&D. In this role you'll design and govern the software architecture and CI/CD processes that their engineering team builds within. You'll take ownership of the architectural framework spanning robotics payloads, vehicle automation, computer vision, sensor integration, digital twins, and simulation - ensuring everything they build is scalable, maintainable, and defensible against safety-critical standards. You'll know how to let early-stage prototypes move fast on the right evidential path, without forcing full compliance before it's needed - while making sure the architecture is built to scale to full qualification when the time comes. What You'll Do Define and implement end-to-end software architecture and CI/CD pipelines for remote and autonomous systems Establish unit testing, verification, and validation processes, building the evidence base needed to meet defence safety-critical standards Integrate architecture across control systems, computer vision, sensor fusion, simulation, and digital twin platforms Support system integration, commissioning, and real-world field trials alongside global military end users What You'll Bring Essential: A strong track record in software architecture for safety-critical or compliance-driven systems Hands-on experience with C/C++ and Python in Linux real-time environments Confidence reading electrical schematics and working across the hardware/software boundary Experience implementing CI/CD pipelines for safety-critical software A degree in Software Engineering, Computer Science, or equivalent (2:1 minimum) Nice to Have: Familiarity with ROS/ROS2 Experience with machine learning, OpenCV, or CODESYS/PLC environments A background in automotive safety systems, defence, robotics, or autonomous vehicle development What's In It for You 70,000 basic salary 8% matched pension Free breakfast and lunch daily on-site 35-hour week: Tuesday-Thursday on-site, Monday/Friday from home, with an early finish on Fridays Up to 5,000 relocation allowance for the right candidate Apply today with an up-to-date CV.
We are looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling. You will play a key role in developing algorithms that enable systems to better detect, interpret, and respond to their environment. The successful candidate will have the opportunity to take ownership of technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance, and system behaviour to improve algorithm capability. Support the development of automated workflows for data processing, training, testing, and evaluation. Contribute to the integration and deployment of algorithms within advanced software systems. Share technical knowledge, mentor colleagues, and contribute to best practice across the engineering team. Keep up to date with emerging developments in AI, machine learning, and computer vision. Experience Required Degree or equivalent experience in Computer Science, Artificial Intelligence, Engineering, Mathematics, Physics, or a related discipline. Proven experience developing machine learning or computer vision algorithms for production or near-production environments. Strong understanding of modern computer vision techniques, including object detection, image classification, and deep learning architectures. Experience working with image datasets and applying image processing techniques to improve model performance. Strong programming skills in Python, with experience in C++ for performance-critical applications. Ability to solve complex technical problems through structured investigation and practical experimentation. Strong communication skills with the ability to explain technical concepts clearly. Due to the nature of the work, successful applicants will be required to obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management, or CI/CD pipelines. Automation of development, testing, or deployment workflows. Cross-platform C++ development and build systems such as CMake. Benefits Hybrid and flexible working arrangements. 37.5-hour working week with Friday lunchtime finish. 28 days annual leave plus Christmas closure. Holiday purchasing scheme. Matched pension contributions up to 6%. Private medical insurance and income protection. Life assurance and employee assistance programme. Share incentive and savings schemes. Electric vehicle salary sacrifice scheme. Wellbeing support and employee benefits platform. Learning and development opportunities. TT
01/09/2026
Full time
We are looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling. You will play a key role in developing algorithms that enable systems to better detect, interpret, and respond to their environment. The successful candidate will have the opportunity to take ownership of technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model performance, and system behaviour to improve algorithm capability. Support the development of automated workflows for data processing, training, testing, and evaluation. Contribute to the integration and deployment of algorithms within advanced software systems. Share technical knowledge, mentor colleagues, and contribute to best practice across the engineering team. Keep up to date with emerging developments in AI, machine learning, and computer vision. Experience Required Degree or equivalent experience in Computer Science, Artificial Intelligence, Engineering, Mathematics, Physics, or a related discipline. Proven experience developing machine learning or computer vision algorithms for production or near-production environments. Strong understanding of modern computer vision techniques, including object detection, image classification, and deep learning architectures. Experience working with image datasets and applying image processing techniques to improve model performance. Strong programming skills in Python, with experience in C++ for performance-critical applications. Ability to solve complex technical problems through structured investigation and practical experimentation. Strong communication skills with the ability to explain technical concepts clearly. Due to the nature of the work, successful applicants will be required to obtain UK Security Clearance. Desirable Experience Experience with any of the following would be beneficial: Statistical modelling, Bayesian methods, uncertainty estimation, or probabilistic techniques. Synthetic data generation, multi-modal AI, or action recognition. Machine learning development tools, experiment tracking, dataset management, or CI/CD pipelines. Automation of development, testing, or deployment workflows. Cross-platform C++ development and build systems such as CMake. Benefits Hybrid and flexible working arrangements. 37.5-hour working week with Friday lunchtime finish. 28 days annual leave plus Christmas closure. Holiday purchasing scheme. Matched pension contributions up to 6%. Private medical insurance and income protection. Life assurance and employee assistance programme. Share incentive and savings schemes. Electric vehicle salary sacrifice scheme. Wellbeing support and employee benefits platform. Learning and development opportunities. TT
Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it. You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through data collection and training to product integration, testing and evaluation. With your models integrated with in-house leading-edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What s special about this group is they do this many times per year working across multiple domains. You can be working on computer vision for one project, generative models for the next and then inventing how new methods for another. With the industry moving so quickly, this company is open to candidates with a variety of backgrounds, from new PhD s to industry veterans and anything in between. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch. Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly. A top degree in a STEM subject. Additionally, a PhD or relevant commercial experience. UK nationality for passing security checks. While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to cloud computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals expertise as well as providing opportunities for continued professional growth and development. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this role. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27674 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
01/09/2026
Full time
Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it. You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through data collection and training to product integration, testing and evaluation. With your models integrated with in-house leading-edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What s special about this group is they do this many times per year working across multiple domains. You can be working on computer vision for one project, generative models for the next and then inventing how new methods for another. With the industry moving so quickly, this company is open to candidates with a variety of backgrounds, from new PhD s to industry veterans and anything in between. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch. Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly. A top degree in a STEM subject. Additionally, a PhD or relevant commercial experience. UK nationality for passing security checks. While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to cloud computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals expertise as well as providing opportunities for continued professional growth and development. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this role. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27674 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
We re currently partnering with an innovative and fast-growing AI start-up based in London that is looking to hire a Graduate AI Engineer to join their expanding technical team. This is an exciting opportunity for a recent graduate or junior engineer to join a fast growing AI start up, working on cutting edge AI products with real commercial impact. You ll work closely with experienced engineers, founders, and product teams in a collaborative environment where your ideas and contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited by the opportunity to grow within a scaling start up environment. Key responsibilities include: Supporting the development and optimisation of AI and machine learning models Working with large datasets for analysis, preprocessing, and model training Assisting with the deployment and monitoring of AI applications Collaborating with software engineers, product teams, and data specialists Contributing to backend development and API integrations Researching and testing new AI frameworks and technologies Ensuring AI systems are developed responsibly, ethically, and with a strong focus on transparency and fairness Writing clean, maintainable, and scalable code Requirements Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field Strong understanding of machine learning concepts and AI fundamentals Understanding of software engineering best practices Strong understanding of AI ethics, responsible AI development, and principled approaches to building trustworthy AI systems Awareness of topics such as bias mitigation, model transparency, privacy, and fairness in AI applications Strong analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What s on Offer Competitive graduate salary package Company stock options / equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers and founders Structured learning and rapid career progression opportunities The chance to work on cutting-edge AI technologies in a fast-moving start-up Collaborative, ambitious, and highly innovative culture Private healthcare and additional employee benefits Regular team socials and company events If you re looking to launch your career in AI engineering and want to be part of a rapidly growing start up environment, we d love to hear from you. Apply now with your CV for immediate consideration.
01/09/2026
Full time
We re currently partnering with an innovative and fast-growing AI start-up based in London that is looking to hire a Graduate AI Engineer to join their expanding technical team. This is an exciting opportunity for a recent graduate or junior engineer to join a fast growing AI start up, working on cutting edge AI products with real commercial impact. You ll work closely with experienced engineers, founders, and product teams in a collaborative environment where your ideas and contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited by the opportunity to grow within a scaling start up environment. Key responsibilities include: Supporting the development and optimisation of AI and machine learning models Working with large datasets for analysis, preprocessing, and model training Assisting with the deployment and monitoring of AI applications Collaborating with software engineers, product teams, and data specialists Contributing to backend development and API integrations Researching and testing new AI frameworks and technologies Ensuring AI systems are developed responsibly, ethically, and with a strong focus on transparency and fairness Writing clean, maintainable, and scalable code Requirements Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field Strong understanding of machine learning concepts and AI fundamentals Understanding of software engineering best practices Strong understanding of AI ethics, responsible AI development, and principled approaches to building trustworthy AI systems Awareness of topics such as bias mitigation, model transparency, privacy, and fairness in AI applications Strong analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What s on Offer Competitive graduate salary package Company stock options / equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers and founders Structured learning and rapid career progression opportunities The chance to work on cutting-edge AI technologies in a fast-moving start-up Collaborative, ambitious, and highly innovative culture Private healthcare and additional employee benefits Regular team socials and company events If you re looking to launch your career in AI engineering and want to be part of a rapidly growing start up environment, we d love to hear from you. Apply now with your CV for immediate consideration.
Principal AI Engineer The Role: We are looking for a Principal AI Engineer to join the technology team at Synoptix. The technology team specialises in applying AI to solve challenges within complex systems, with expertise spanning object detection, neural network resilience, AI assurance, and the development of synthetic data. Through bespoke research and development programmes the team delivers high-grade AI systems and services for high-stakes environments. As the Principal AI Engineer at Synoptix, you will help shape the scope, direction, and technical vision of the engineering projects you lead. You will engage with both internal and external stakeholders at a high level, whilst feeding insights back to the business where possible. Internally to Synoptix you will be recognised as a technical leader, playing a key role in advancing AI and engineering best practices. Day-to-day tasking can include: Working on high-throughput vision systems on NVIDIA Jetson hardware, involving; CUDA/TensorRT acceleration Multi-modal (thermal + optical) sensors Robust real-time tracking Exploring AI Assurance and AI Safety Delivering technical expertise on a variety of internal and external facing projects Supporting AI Engineering activity across the design lifecycle Working with multidisciplinary teams Engaging with customer representatives to identify opportunities Attending internal strategy meetings Guiding junior engineers in project delivery Key Skills: We are interested in the following skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers Research and prototyping Benefits: Annual Company Bonus Based on company performance 25 Days holiday not including bank holidays with the option to buy/sell up to 5 days Flexible hybrid working arrangements Continuous professional development including incentives Access to online Udemy training facility to support grade specific learning pathways Electric car scheme Bike to work scheme Private health care About Us: Synoptix was formed in 2011 to provide engineering solutions across various technical industries. We have evolved from a company established and focussed on Systems Thinking principles into an Engineering company providing solutions and services across three key capabilities: Systems, Cyber & InfoSec and Technology. What makes us stand out is how we engage in the crossover areas between these disciplines, combining our strengths to provide a truly bespoke, market leading approach. Our engineering competence is bolstered by expertise in commercial, legal, financial and resource, thereby ensuring that we uphold excellence in our product and service offerings. Please note that due to the nature of our projects we can only accept Sole UK National candidates who will need to be eligible to obtain UK Security Clearance. By applying to this position, you are confirming that you consent to the retention of your personal data. Your data is held securely on our own premises and under the terms of the Data Protection Act (2018). It will be treated as confidential, and will not be transferred to any third party, or to any other jurisdiction without your consent. We will not hold any data for any longer than is necessary for us to fulfil our obligations and will remove any data at your written request.
01/09/2026
Full time
Principal AI Engineer The Role: We are looking for a Principal AI Engineer to join the technology team at Synoptix. The technology team specialises in applying AI to solve challenges within complex systems, with expertise spanning object detection, neural network resilience, AI assurance, and the development of synthetic data. Through bespoke research and development programmes the team delivers high-grade AI systems and services for high-stakes environments. As the Principal AI Engineer at Synoptix, you will help shape the scope, direction, and technical vision of the engineering projects you lead. You will engage with both internal and external stakeholders at a high level, whilst feeding insights back to the business where possible. Internally to Synoptix you will be recognised as a technical leader, playing a key role in advancing AI and engineering best practices. Day-to-day tasking can include: Working on high-throughput vision systems on NVIDIA Jetson hardware, involving; CUDA/TensorRT acceleration Multi-modal (thermal + optical) sensors Robust real-time tracking Exploring AI Assurance and AI Safety Delivering technical expertise on a variety of internal and external facing projects Supporting AI Engineering activity across the design lifecycle Working with multidisciplinary teams Engaging with customer representatives to identify opportunities Attending internal strategy meetings Guiding junior engineers in project delivery Key Skills: We are interested in the following skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing AI for use on Edge Computers Research and prototyping Benefits: Annual Company Bonus Based on company performance 25 Days holiday not including bank holidays with the option to buy/sell up to 5 days Flexible hybrid working arrangements Continuous professional development including incentives Access to online Udemy training facility to support grade specific learning pathways Electric car scheme Bike to work scheme Private health care About Us: Synoptix was formed in 2011 to provide engineering solutions across various technical industries. We have evolved from a company established and focussed on Systems Thinking principles into an Engineering company providing solutions and services across three key capabilities: Systems, Cyber & InfoSec and Technology. What makes us stand out is how we engage in the crossover areas between these disciplines, combining our strengths to provide a truly bespoke, market leading approach. Our engineering competence is bolstered by expertise in commercial, legal, financial and resource, thereby ensuring that we uphold excellence in our product and service offerings. Please note that due to the nature of our projects we can only accept Sole UK National candidates who will need to be eligible to obtain UK Security Clearance. By applying to this position, you are confirming that you consent to the retention of your personal data. Your data is held securely on our own premises and under the terms of the Data Protection Act (2018). It will be treated as confidential, and will not be transferred to any third party, or to any other jurisdiction without your consent. We will not hold any data for any longer than is necessary for us to fulfil our obligations and will remove any data at your written request.
We are looking for an experienced Principal Data Engineer to provide technical leadership across our enterprise data platforms, architecture, and engineering capabilities. You will design and deliver secure, scalable and reliable cloud-based data solutions , while establishing engineering standards and best practices across data integration, pipelines, DataOps, DevOps, data quality and governance. Working closely with architects, software engineers, analysts and business stakeholders, you will help shape our data strategy and deliver capabilities that support data-driven decision-making, advanced analytics, AI and machine learning . Key Responsibilities Design and evolve scalable, secure enterprise data architectures and platforms. Lead the development of data pipelines, integration frameworks and data products. Establish engineering standards, reusable patterns and best practices. Drive adoption of cloud-native technologies, DevOps, DataOps, CI/CD and Infrastructure as Code . Champion data quality, governance, lineage, security and compliance. Improve platform performance, scalability, reliability and cost efficiency. Provide technical leadership, mentoring and coaching to data engineering teams. Support cloud migration and data platform modernisation. Manage technical risks, dependencies and delivery challenges. Evaluate emerging technologies and influence technology strategy and roadmaps. About You You will have: A Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems or a related discipline. 7+ years' experience in data engineering, software engineering or data platform development. Proven experience designing and delivering enterprise-scale data solutions . Strong knowledge of modern cloud data platforms and architectures. Experience with DevOps/DataOps, automation, CI/CD and Infrastructure as Code. Strong understanding of data governance, quality, security and compliance. Excellent technical leadership, communication and stakeholder management skills. Desirable: Master's degree, cloud certifications (AWS, Azure or GCP), or recognised certifications such as TOGAF or DAMA CDMP . This is an opportunity to shape our data architecture, influence technology strategy and build the data capabilities that underpin the organisation's future. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
01/09/2026
Contractor
We are looking for an experienced Principal Data Engineer to provide technical leadership across our enterprise data platforms, architecture, and engineering capabilities. You will design and deliver secure, scalable and reliable cloud-based data solutions , while establishing engineering standards and best practices across data integration, pipelines, DataOps, DevOps, data quality and governance. Working closely with architects, software engineers, analysts and business stakeholders, you will help shape our data strategy and deliver capabilities that support data-driven decision-making, advanced analytics, AI and machine learning . Key Responsibilities Design and evolve scalable, secure enterprise data architectures and platforms. Lead the development of data pipelines, integration frameworks and data products. Establish engineering standards, reusable patterns and best practices. Drive adoption of cloud-native technologies, DevOps, DataOps, CI/CD and Infrastructure as Code . Champion data quality, governance, lineage, security and compliance. Improve platform performance, scalability, reliability and cost efficiency. Provide technical leadership, mentoring and coaching to data engineering teams. Support cloud migration and data platform modernisation. Manage technical risks, dependencies and delivery challenges. Evaluate emerging technologies and influence technology strategy and roadmaps. About You You will have: A Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Systems or a related discipline. 7+ years' experience in data engineering, software engineering or data platform development. Proven experience designing and delivering enterprise-scale data solutions . Strong knowledge of modern cloud data platforms and architectures. Experience with DevOps/DataOps, automation, CI/CD and Infrastructure as Code. Strong understanding of data governance, quality, security and compliance. Excellent technical leadership, communication and stakeholder management skills. Desirable: Master's degree, cloud certifications (AWS, Azure or GCP), or recognised certifications such as TOGAF or DAMA CDMP . This is an opportunity to shape our data architecture, influence technology strategy and build the data capabilities that underpin the organisation's future. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Salary: £ 65,360 - £81,700 p.a. Closing date: Tuesday 8 September 2026 Contract type: Permanent Interviews: w/c 21 September 2026 The Wellcome Trust is a global charitable foundation. We improve health for everyone by funding science, leading policy and advocacy campaigns and building partnerships. We plan to spend £16bn over the next ten years, funding new discoveries in life, health, and wellbeing and taking on three global health challenges: mental health, infectious disease and climate and health. These challenges need the bold science we support, but they won't be solved by science alone. We are looking for a Senior Machine Learning Engineer to join our team. Where in Wellcome will I be working? You will collaborate with software and data engineers, analysts, designers and the business to create models, tools and services that enhance the value of the data available to Wellcome. You will develop machine learning systems and analytics to support decision making within Wellcome and help us comprehend the reach and impact of the research we support. What will I be doing? You will have the opportunity to work on and lead specific machine learning projects across Wellcome Trust with particular emphasis on working with open-source software to develop natural language processing and computer vision to create search algorithms and tools. As a Senior Machine Learning Engineer, you will: Identify opportunities where machine learning can help Wellcome make better decisions. Translate business problems to data science tasks and present complex results to stakeholders. Develop and evaluate machine learning models with an emphasis on natural language processing. Collaborate on a cross-functional team, sharing ideas, knowledge and reviewing code. Maintaining and improving our internal data pipelines and machine learning tooling. Contribute to a diverse and inclusive culture across both the department and the organisation. Is this job for me? We are looking for an experienced senior machine learning engineer who has a passion for our mission in reducing global health inequalities to join our team. If you have a deep understanding of machine learning concepts and techniques and enjoy working on complex problems and making impactful contribution. Continuous learning and tackling challenging problems will further hone your skills, keeping you at the forefront of the rapidly evolving field of machine learning. To apply for this role please submit an updated CV and answer 2 application questions to demonstrate that you meet the minimum requirements for the role. Minimum Criteria: Advanced degree (MSc or PhD) in a quantitative field such as machine learning, data science, computer science, statistics, engineering or mathematics. Strong Python and SQL skills with a grounding in software engineering best practices. In-depth understanding of a deep learning framework such as PyTorch, TensorFlow or JAX. Strong knowledge of modern natural language processing techniques, large language and transformer models, and libraries such as Hugging Face, VLLM and LangChain. Proven experience owning the development of large scale, high impact machine learning solutions from initial experimentation through to deployment. Strong knowledge of data science libraries such as Polars, Pandas, NumPy, Scikit-learn. Knowledge of MLOps tooling such as Weights & Biases, AirFlow, AWS SageMaker or Docker. Experience working with cloud platforms such as AWS, Azure or GCP. Experience working collaboratively in a multidisciplinary team. Our Hybrid Way of Working We understand that our colleagues have commitments and personal interests outside of work and we strive to build a flexible working environment, in which people can perform at their best. At Wellcome we have a hybrid way of working which is 3 days in our Euston Road offices (Tuesday, Wednesday and Thursday) with the remaining 2 days working either remotely or in the office. Diversity and Inclusion is at the heart of everything we do Diversity and Inclusion is a priority at Wellcome. We are committed to cultivating a fair and inclusive environment, where everyone can be themselves and thrive. We are happy to discuss flexible working options for all roles. We work to ensure that our recruitment processes are as inclusive as possible to everyone. This includes making adjustments for people who have a disability or long-term condition. Please visit our website for more information on adjustments and accessibility or contact us at .
01/09/2026
Full time
Salary: £ 65,360 - £81,700 p.a. Closing date: Tuesday 8 September 2026 Contract type: Permanent Interviews: w/c 21 September 2026 The Wellcome Trust is a global charitable foundation. We improve health for everyone by funding science, leading policy and advocacy campaigns and building partnerships. We plan to spend £16bn over the next ten years, funding new discoveries in life, health, and wellbeing and taking on three global health challenges: mental health, infectious disease and climate and health. These challenges need the bold science we support, but they won't be solved by science alone. We are looking for a Senior Machine Learning Engineer to join our team. Where in Wellcome will I be working? You will collaborate with software and data engineers, analysts, designers and the business to create models, tools and services that enhance the value of the data available to Wellcome. You will develop machine learning systems and analytics to support decision making within Wellcome and help us comprehend the reach and impact of the research we support. What will I be doing? You will have the opportunity to work on and lead specific machine learning projects across Wellcome Trust with particular emphasis on working with open-source software to develop natural language processing and computer vision to create search algorithms and tools. As a Senior Machine Learning Engineer, you will: Identify opportunities where machine learning can help Wellcome make better decisions. Translate business problems to data science tasks and present complex results to stakeholders. Develop and evaluate machine learning models with an emphasis on natural language processing. Collaborate on a cross-functional team, sharing ideas, knowledge and reviewing code. Maintaining and improving our internal data pipelines and machine learning tooling. Contribute to a diverse and inclusive culture across both the department and the organisation. Is this job for me? We are looking for an experienced senior machine learning engineer who has a passion for our mission in reducing global health inequalities to join our team. If you have a deep understanding of machine learning concepts and techniques and enjoy working on complex problems and making impactful contribution. Continuous learning and tackling challenging problems will further hone your skills, keeping you at the forefront of the rapidly evolving field of machine learning. To apply for this role please submit an updated CV and answer 2 application questions to demonstrate that you meet the minimum requirements for the role. Minimum Criteria: Advanced degree (MSc or PhD) in a quantitative field such as machine learning, data science, computer science, statistics, engineering or mathematics. Strong Python and SQL skills with a grounding in software engineering best practices. In-depth understanding of a deep learning framework such as PyTorch, TensorFlow or JAX. Strong knowledge of modern natural language processing techniques, large language and transformer models, and libraries such as Hugging Face, VLLM and LangChain. Proven experience owning the development of large scale, high impact machine learning solutions from initial experimentation through to deployment. Strong knowledge of data science libraries such as Polars, Pandas, NumPy, Scikit-learn. Knowledge of MLOps tooling such as Weights & Biases, AirFlow, AWS SageMaker or Docker. Experience working with cloud platforms such as AWS, Azure or GCP. Experience working collaboratively in a multidisciplinary team. Our Hybrid Way of Working We understand that our colleagues have commitments and personal interests outside of work and we strive to build a flexible working environment, in which people can perform at their best. At Wellcome we have a hybrid way of working which is 3 days in our Euston Road offices (Tuesday, Wednesday and Thursday) with the remaining 2 days working either remotely or in the office. Diversity and Inclusion is at the heart of everything we do Diversity and Inclusion is a priority at Wellcome. We are committed to cultivating a fair and inclusive environment, where everyone can be themselves and thrive. We are happy to discuss flexible working options for all roles. We work to ensure that our recruitment processes are as inclusive as possible to everyone. This includes making adjustments for people who have a disability or long-term condition. Please visit our website for more information on adjustments and accessibility or contact us at .
Who we are and what we do Bookouture is the UK's most successful and innovative digital publisher of commercial fiction. We are part of Hachette UK and following fourteen years of market-leading growth have sold over 100 million books to readers worldwide with a further 14 billion Kindle pages read of our titles. In the role of Data Engineer, reporting to the Data & Analysis Director, you'll be responsible for designing new data structures from the ground up as well as evolving those already in place - ensuring this data-driven business has robust data systems, with accurate information and reporting available at all times. We're looking not only for experience with business-critical database design and management, but a confident team player who makes a habit of improving the way things are done, embraces change, and brings creativity to every problem. What you'll be doing Design and build new SQL Server databases from scratch - schema design, tables, views, stored procedures and indexing - to support new business systems and reporting requirements. Build ingestion workflows for new data sources from scratch - retailer and platform feeds, advertising and marketing data, third-party APIs, etc - designing and building the end-to-end ingestion process from source to reporting layer with appropriate validation and error handling. Analyse and streamline existing on-premise relational databases (SQL Server) and ETL packages (SSIS). Build and maintain both API-based and browser-based automations Work closely with department heads across the division to support any projects requiring access to our data or collaboration with the Data Department and vice versa Maintain and review existing data visualisation dashboards (Tableau Cloud) and develop new reporting streams Work with the Publishing Innovation Director to develop data structures suitable for use in machine-learning projects Respond to team requests, including troubleshooting issues, generating ad-hoc reports, and building automations for currently manual tasks Constantly appraise existing workflows to maximise efficiency and reduce the chance of errors Who we are looking for Experience/Knowledge Computer science background with extensive workplace experience of relational databases Proficient in relational database schema design and structural planning (essential) Significant experience working with SQL Server, writing queries, building stored procedures, and developing data flows (essential) Experience working with SSIS packages to manage and improve daily import processes (derived columns, lookups, conditional splits for incremental loads) Experience of Microsoft Azure integrations Confident and effective user of AI tools for operational projects Experience integrating systems via REST APIs and managing data between platforms Experience building and optimising automations in Python (data syncs, API integrations, scheduled jobs) Experience with data visualisation tools (Tableau, Power BI or similar) Experience working with browser-based automation (e.g. Playwright) Personal Attributes/Skills Strong problem-solver who isn't satisfied with a working solution if a better one exists. Performance-minded, with a focus on proactively optimising processes for speed and reliability Detail-oriented, with a sharp eye for data quality, edge cases, and inconsistencies Pro-active and self-directed, able to drive a task from problem to tested solution Adaptable and comfortable switching tools, languages, or approaches when the situation calls for it. Clear and confident communicator. You will be working often with less technical staff, understanding what is being asked of you and explaining what is and isn't possible clearly is integral. Consistent updates on projects to stakeholders and teams involved is also key. What we offer Our staff are our greatest asset, and our benefits reflect this: 28 annual leave days per year, increases to 29 days after 2 years' service and goes up to 30 days after 5 years' (+ bank holidays) Private medical insurance Dental insurance Generous pension schemes Rent deposit loans 2 community days per year Summer hours (finishing at 1pm on Fridays during the summer months) Retail discounts through Hachette rewards Cycle to Work scheme Eye care vouchers Wide-ranging training library Development programmes (including mentoring) Up to 70% off book purchases A charity bookshelf An active range of staff-led employee networks that are voluntary, including AgeWise, Gender Balance, Thrive, Pride, All Together, Wellbeing, Women in Tech and religious networks Season ticket loans And much more! The role will be based at our London office, with a blend of in-office (3 days) and homeworking (2 days) per week. Our commitment Hachette employs people on the basis of their abilities. We aim to attract and develop talent from a base as broad as the world of readers we want to reach, with a wide and representative range of age, faith, disability, race, gender, sexuality and socio-economic, regional and cultural backgrounds. We want everyone to have the opportunity to perform at their best during our recruitment process. If you need any adjustments, you can let us know at the 'Reasonable Adjustments' section of your application. We'll make sure you're supported throughout the process. The Book Trade Charity offers financial support to people looking to enter the book trade but who may struggle to afford the costs of attending interviews and undertaking junior roles. For more information visit
01/09/2026
Full time
Who we are and what we do Bookouture is the UK's most successful and innovative digital publisher of commercial fiction. We are part of Hachette UK and following fourteen years of market-leading growth have sold over 100 million books to readers worldwide with a further 14 billion Kindle pages read of our titles. In the role of Data Engineer, reporting to the Data & Analysis Director, you'll be responsible for designing new data structures from the ground up as well as evolving those already in place - ensuring this data-driven business has robust data systems, with accurate information and reporting available at all times. We're looking not only for experience with business-critical database design and management, but a confident team player who makes a habit of improving the way things are done, embraces change, and brings creativity to every problem. What you'll be doing Design and build new SQL Server databases from scratch - schema design, tables, views, stored procedures and indexing - to support new business systems and reporting requirements. Build ingestion workflows for new data sources from scratch - retailer and platform feeds, advertising and marketing data, third-party APIs, etc - designing and building the end-to-end ingestion process from source to reporting layer with appropriate validation and error handling. Analyse and streamline existing on-premise relational databases (SQL Server) and ETL packages (SSIS). Build and maintain both API-based and browser-based automations Work closely with department heads across the division to support any projects requiring access to our data or collaboration with the Data Department and vice versa Maintain and review existing data visualisation dashboards (Tableau Cloud) and develop new reporting streams Work with the Publishing Innovation Director to develop data structures suitable for use in machine-learning projects Respond to team requests, including troubleshooting issues, generating ad-hoc reports, and building automations for currently manual tasks Constantly appraise existing workflows to maximise efficiency and reduce the chance of errors Who we are looking for Experience/Knowledge Computer science background with extensive workplace experience of relational databases Proficient in relational database schema design and structural planning (essential) Significant experience working with SQL Server, writing queries, building stored procedures, and developing data flows (essential) Experience working with SSIS packages to manage and improve daily import processes (derived columns, lookups, conditional splits for incremental loads) Experience of Microsoft Azure integrations Confident and effective user of AI tools for operational projects Experience integrating systems via REST APIs and managing data between platforms Experience building and optimising automations in Python (data syncs, API integrations, scheduled jobs) Experience with data visualisation tools (Tableau, Power BI or similar) Experience working with browser-based automation (e.g. Playwright) Personal Attributes/Skills Strong problem-solver who isn't satisfied with a working solution if a better one exists. Performance-minded, with a focus on proactively optimising processes for speed and reliability Detail-oriented, with a sharp eye for data quality, edge cases, and inconsistencies Pro-active and self-directed, able to drive a task from problem to tested solution Adaptable and comfortable switching tools, languages, or approaches when the situation calls for it. Clear and confident communicator. You will be working often with less technical staff, understanding what is being asked of you and explaining what is and isn't possible clearly is integral. Consistent updates on projects to stakeholders and teams involved is also key. What we offer Our staff are our greatest asset, and our benefits reflect this: 28 annual leave days per year, increases to 29 days after 2 years' service and goes up to 30 days after 5 years' (+ bank holidays) Private medical insurance Dental insurance Generous pension schemes Rent deposit loans 2 community days per year Summer hours (finishing at 1pm on Fridays during the summer months) Retail discounts through Hachette rewards Cycle to Work scheme Eye care vouchers Wide-ranging training library Development programmes (including mentoring) Up to 70% off book purchases A charity bookshelf An active range of staff-led employee networks that are voluntary, including AgeWise, Gender Balance, Thrive, Pride, All Together, Wellbeing, Women in Tech and religious networks Season ticket loans And much more! The role will be based at our London office, with a blend of in-office (3 days) and homeworking (2 days) per week. Our commitment Hachette employs people on the basis of their abilities. We aim to attract and develop talent from a base as broad as the world of readers we want to reach, with a wide and representative range of age, faith, disability, race, gender, sexuality and socio-economic, regional and cultural backgrounds. We want everyone to have the opportunity to perform at their best during our recruitment process. If you need any adjustments, you can let us know at the 'Reasonable Adjustments' section of your application. We'll make sure you're supported throughout the process. The Book Trade Charity offers financial support to people looking to enter the book trade but who may struggle to afford the costs of attending interviews and undertaking junior roles. For more information visit
Location: Reading, United Kingdom Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. AI Researcher Reading (RG2 6GF) - Hybrid Primary Purpose of the Role: To conduct high-impact AI research that develops novel, trustworthy and operationally relevant AI capabilities across Thales UK businesses and for our customers, increasing the quality of our offers, winning new business, strengthening technical differentiation, and improving customer outcomes. As part of the growing software, AI and research capability in cortAIx Factory / cortAIx UK, the AI Researcher will collaborate with AI engineers, AI assurance specialists, human-machine teaming researchers, product owners, domain experts, data engineers and software engineers to turn complex operational and business challenges into validated AI research outcomes, proofs of concept and transferable technical capability. The role will contribute novel AI methods, research assets, technical reports, publications, invention disclosures and reusable experimental approaches to Thales UK's internal catalogue of capabilities, accelerating responsible AI adoption across programmes. The role will connect with data, digital, research and engineering specialists across Thales UK and Group, maturing emerging AI technologies for future deployment and acting as a technical expert on advanced AI research used transversally throughout the business. We are interested in people with a background of both conduct research and delivering across a diverse range of products or industries. We are looking for those who can undertake the research but also understand how to translate this into product. Highly advantageous if you've supported or led bids/bid requirements. Key Responsibilities and Tasks: Conduct applied and experimental AI research to solve complex customer and business problems across defence, aerospace, cyber security, rail, critical national infrastructure and related domains. Develop state-of-the-art AI/ML solutions, proofs of concept and research prototypes using real-world data and operationally relevant problem statements. Investigate, design, implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning where relevant. Translate business and customer needs into clear research questions, experimental plans, technical requirements and measurable success criteria. Design robust evaluation methodologies, including baselines, benchmarks, ablation studies, uncertainty assessment, robustness testing and performance measurement against operationally meaningful metrics. Collaborate with AI V&V, AI Assurance, Human-Machine Teaming and Applied AI groups to ensure research outputs are trustworthy, human-centred, explainable and suitable for future operational use. Build reproducible research pipelines, including data preprocessing, feature engineering, model training, experiment tracking, evaluation and technical reporting. Ensure Responsible AI practices are embedded throughout the research lifecycle, including robustness, safety, explainability, transparency, fairness, privacy, security and alignment with MOD, regulatory and Thales governance requirements. Create proofs of concept, publications, invention disclosures, patents, technical reports and reusable research assets around advanced AI topics such as multimodal learning, self-supervised learning, foundation models and human-AI collaboration. Package research outputs in a form that enables transition to AI engineering teams, including demonstrator code, model cards, experiment reports, design notes and handover documentation. Support bids, PoCs, demos, customer workshops, innovation campaigns and stakeholder briefings by communicating research concepts and outcomes to technical and non-technical audiences. Work with data engineers, architects and domain experts on data acquisition, labelling strategies, synthetic data approaches, integration of third-party data and data quality management. Horizon scan for major AI research and technology trends, assess relevance to Thales markets, run trials and share best practices to accelerate responsible adoption. Skills, experience and qualifications required Degree/Masters, an equivalent in a relevant Software/AI subject, or equivalent experience. Relevant subject areas may include Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Engineering, Physics or a related technical discipline. Strong Python programming skills; proficiency with modern software engineering and research practices, including testing, code quality, reproducibility and collaborative development. Experience conducting AI/ML research or advanced AI development in complex technical environments, preferably including defence, aviation, rail, cyber security, safety-critical, mission-critical or similarly regulated domains. Expertise in ML/DL algorithms and techniques for supervised, unsupervised, self-supervised and, where relevant, reinforcement learning. Proven ability to take AI research from problem framing through experimental design, model development, evaluation and prototype demonstration. Hands-on experience in at least one advanced AI area such as deep neural networks, computer vision, NLP/LLMs, multimodal AI, self-supervised learning, reinforcement learning, time-series analytics or foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers; OpenCV for vision applications. Strong understanding of experimental design, statistical evaluation, benchmarking and model validation. Experiment tracking and reproducibility tools, for example MLflow, Weights & Biases or equivalent. Data wrangling and analysis using Pandas, NumPy, SQL; familiarity with Spark or similar is a plus. Model optimisation and research-to-prototype deployment fundamentals, including ONNX, TorchScript, FastAPI/gRPC and GPU acceleration, with CUDA basics desirable. Responsible AI and security awareness: explainability, privacy-preserving methods, bias assessment, safety, assurance, adversarial robustness and secure AI. Scientific and technical writing skills, including preparation of technical reports, research papers, invention disclosures, model cards and experiment reports. Demonstrable experience producing high-quality technical documentation, research outputs, model evaluations or stakeholder briefings. Interpersonal Skills Ability to engage and influence diverse stakeholders, including Product Engineering Leaders, Customers, Design Authorities, Project Management, IS/IT, research partners and academic collaborators. Highly effective in a matrix-based organisation; a collaborative team player who drives outcomes while maintaining scientific rigour. Excellent communication skills; able to explain complex AI research concepts clearly to technical and non-technical audiences. Curious, creative and intellectually rigorous, with the ability to challenge constructively and develop novel solutions to ambiguous problems. Encourages an open environment where ideas are shared, technical debate is welcomed and innovation thrives. Desirable PhD or equivalent research experience in Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Engineering, Physics or a related discipline. Peer-reviewed publications, patents, invention disclosures, open-source contributions or recognised technical innovations. Experience with governance of architecture, research designs or detailed technical designs throughout the project lifecycle. Experience with large-scale data initiatives, data labelling strategies, synthetic data generation and data quality management. Familiarity with MLOps practices and cloud platforms for AI deployment. Experience working with academic partners, research institutions, grant-funded programmes or collaborative research consortia. Experience contributing to bids, proposals, customer demonstrations or externally funded innovation activities. Knowledge of cloud AI services, HPC environments, containerisation and secure research environments is desirable. Security Clearance statement Due the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires you to be a sole British National and achieve Security Clearance (SC) without any caveats. It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment. Please visit the UKSV website for further guidance- United Kingdom Security Vetting - GOV.UK ( ) To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances . click apply for full job details
01/09/2026
Full time
Location: Reading, United Kingdom Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. AI Researcher Reading (RG2 6GF) - Hybrid Primary Purpose of the Role: To conduct high-impact AI research that develops novel, trustworthy and operationally relevant AI capabilities across Thales UK businesses and for our customers, increasing the quality of our offers, winning new business, strengthening technical differentiation, and improving customer outcomes. As part of the growing software, AI and research capability in cortAIx Factory / cortAIx UK, the AI Researcher will collaborate with AI engineers, AI assurance specialists, human-machine teaming researchers, product owners, domain experts, data engineers and software engineers to turn complex operational and business challenges into validated AI research outcomes, proofs of concept and transferable technical capability. The role will contribute novel AI methods, research assets, technical reports, publications, invention disclosures and reusable experimental approaches to Thales UK's internal catalogue of capabilities, accelerating responsible AI adoption across programmes. The role will connect with data, digital, research and engineering specialists across Thales UK and Group, maturing emerging AI technologies for future deployment and acting as a technical expert on advanced AI research used transversally throughout the business. We are interested in people with a background of both conduct research and delivering across a diverse range of products or industries. We are looking for those who can undertake the research but also understand how to translate this into product. Highly advantageous if you've supported or led bids/bid requirements. Key Responsibilities and Tasks: Conduct applied and experimental AI research to solve complex customer and business problems across defence, aerospace, cyber security, rail, critical national infrastructure and related domains. Develop state-of-the-art AI/ML solutions, proofs of concept and research prototypes using real-world data and operationally relevant problem statements. Investigate, design, implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning where relevant. Translate business and customer needs into clear research questions, experimental plans, technical requirements and measurable success criteria. Design robust evaluation methodologies, including baselines, benchmarks, ablation studies, uncertainty assessment, robustness testing and performance measurement against operationally meaningful metrics. Collaborate with AI V&V, AI Assurance, Human-Machine Teaming and Applied AI groups to ensure research outputs are trustworthy, human-centred, explainable and suitable for future operational use. Build reproducible research pipelines, including data preprocessing, feature engineering, model training, experiment tracking, evaluation and technical reporting. Ensure Responsible AI practices are embedded throughout the research lifecycle, including robustness, safety, explainability, transparency, fairness, privacy, security and alignment with MOD, regulatory and Thales governance requirements. Create proofs of concept, publications, invention disclosures, patents, technical reports and reusable research assets around advanced AI topics such as multimodal learning, self-supervised learning, foundation models and human-AI collaboration. Package research outputs in a form that enables transition to AI engineering teams, including demonstrator code, model cards, experiment reports, design notes and handover documentation. Support bids, PoCs, demos, customer workshops, innovation campaigns and stakeholder briefings by communicating research concepts and outcomes to technical and non-technical audiences. Work with data engineers, architects and domain experts on data acquisition, labelling strategies, synthetic data approaches, integration of third-party data and data quality management. Horizon scan for major AI research and technology trends, assess relevance to Thales markets, run trials and share best practices to accelerate responsible adoption. Skills, experience and qualifications required Degree/Masters, an equivalent in a relevant Software/AI subject, or equivalent experience. Relevant subject areas may include Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Engineering, Physics or a related technical discipline. Strong Python programming skills; proficiency with modern software engineering and research practices, including testing, code quality, reproducibility and collaborative development. Experience conducting AI/ML research or advanced AI development in complex technical environments, preferably including defence, aviation, rail, cyber security, safety-critical, mission-critical or similarly regulated domains. Expertise in ML/DL algorithms and techniques for supervised, unsupervised, self-supervised and, where relevant, reinforcement learning. Proven ability to take AI research from problem framing through experimental design, model development, evaluation and prototype demonstration. Hands-on experience in at least one advanced AI area such as deep neural networks, computer vision, NLP/LLMs, multimodal AI, self-supervised learning, reinforcement learning, time-series analytics or foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers; OpenCV for vision applications. Strong understanding of experimental design, statistical evaluation, benchmarking and model validation. Experiment tracking and reproducibility tools, for example MLflow, Weights & Biases or equivalent. Data wrangling and analysis using Pandas, NumPy, SQL; familiarity with Spark or similar is a plus. Model optimisation and research-to-prototype deployment fundamentals, including ONNX, TorchScript, FastAPI/gRPC and GPU acceleration, with CUDA basics desirable. Responsible AI and security awareness: explainability, privacy-preserving methods, bias assessment, safety, assurance, adversarial robustness and secure AI. Scientific and technical writing skills, including preparation of technical reports, research papers, invention disclosures, model cards and experiment reports. Demonstrable experience producing high-quality technical documentation, research outputs, model evaluations or stakeholder briefings. Interpersonal Skills Ability to engage and influence diverse stakeholders, including Product Engineering Leaders, Customers, Design Authorities, Project Management, IS/IT, research partners and academic collaborators. Highly effective in a matrix-based organisation; a collaborative team player who drives outcomes while maintaining scientific rigour. Excellent communication skills; able to explain complex AI research concepts clearly to technical and non-technical audiences. Curious, creative and intellectually rigorous, with the ability to challenge constructively and develop novel solutions to ambiguous problems. Encourages an open environment where ideas are shared, technical debate is welcomed and innovation thrives. Desirable PhD or equivalent research experience in Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Engineering, Physics or a related discipline. Peer-reviewed publications, patents, invention disclosures, open-source contributions or recognised technical innovations. Experience with governance of architecture, research designs or detailed technical designs throughout the project lifecycle. Experience with large-scale data initiatives, data labelling strategies, synthetic data generation and data quality management. Familiarity with MLOps practices and cloud platforms for AI deployment. Experience working with academic partners, research institutions, grant-funded programmes or collaborative research consortia. Experience contributing to bids, proposals, customer demonstrations or externally funded innovation activities. Knowledge of cloud AI services, HPC environments, containerisation and secure research environments is desirable. Security Clearance statement Due the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires you to be a sole British National and achieve Security Clearance (SC) without any caveats. It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment. Please visit the UKSV website for further guidance- United Kingdom Security Vetting - GOV.UK ( ) To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances . click apply for full job details
Location: Reading, United Kingdom Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. AI Researcher Reading (RG2 6GF) - Hybrid Primary Purpose of the Role: To conduct high-impact AI research that develops novel, trustworthy and operationally relevant AI capabilities across Thales UK businesses and for our customers, increasing the quality of our offers, winning new business, strengthening technical differentiation, and improving customer outcomes. As part of the growing software, AI and research capability in cortAIx Factory / cortAIx UK, the AI Researcher will collaborate with AI engineers, AI assurance specialists, human-machine teaming researchers, product owners, domain experts, data engineers and software engineers to turn complex operational and business challenges into validated AI research outcomes, proofs of concept and transferable technical capability. The role will contribute novel AI methods, research assets, technical reports, publications, invention disclosures and reusable experimental approaches to Thales UK's internal catalogue of capabilities, accelerating responsible AI adoption across programmes. The role will connect with data, digital, research and engineering specialists across Thales UK and Group, maturing emerging AI technologies for future deployment and acting as a technical expert on advanced AI research used transversally throughout the business. We are interested in people with a background of both conduct research and delivering across a diverse range of products or industries. We are looking for those who can undertake the research but also understand how to translate this into product. Highly advantageous if you've supported or led bids/bid requirements. Key Responsibilities and Tasks: Conduct applied and experimental AI research to solve complex customer and business problems across defence, aerospace, cyber security, rail, critical national infrastructure and related domains. Develop state-of-the-art AI/ML solutions, proofs of concept and research prototypes using real-world data and operationally relevant problem statements. Investigate, design, implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning where relevant. Translate business and customer needs into clear research questions, experimental plans, technical requirements and measurable success criteria. Design robust evaluation methodologies, including baselines, benchmarks, ablation studies, uncertainty assessment, robustness testing and performance measurement against operationally meaningful metrics. Collaborate with AI V&V, AI Assurance, Human-Machine Teaming and Applied AI groups to ensure research outputs are trustworthy, human-centred, explainable and suitable for future operational use. Build reproducible research pipelines, including data preprocessing, feature engineering, model training, experiment tracking, evaluation and technical reporting. Ensure Responsible AI practices are embedded throughout the research lifecycle, including robustness, safety, explainability, transparency, fairness, privacy, security and alignment with MOD, regulatory and Thales governance requirements. Create proofs of concept, publications, invention disclosures, patents, technical reports and reusable research assets around advanced AI topics such as multimodal learning, self-supervised learning, foundation models and human-AI collaboration. Package research outputs in a form that enables transition to AI engineering teams, including demonstrator code, model cards, experiment reports, design notes and handover documentation. Support bids, PoCs, demos, customer workshops, innovation campaigns and stakeholder briefings by communicating research concepts and outcomes to technical and non-technical audiences. Work with data engineers, architects and domain experts on data acquisition, labelling strategies, synthetic data approaches, integration of third-party data and data quality management. Horizon scan for major AI research and technology trends, assess relevance to Thales markets, run trials and share best practices to accelerate responsible adoption. Skills, experience and qualifications required Degree/Masters, an equivalent in a relevant Software/AI subject, or equivalent experience. Relevant subject areas may include Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Engineering, Physics or a related technical discipline. Strong Python programming skills; proficiency with modern software engineering and research practices, including testing, code quality, reproducibility and collaborative development. Experience conducting AI/ML research or advanced AI development in complex technical environments, preferably including defence, aviation, rail, cyber security, safety-critical, mission-critical or similarly regulated domains. Expertise in ML/DL algorithms and techniques for supervised, unsupervised, self-supervised and, where relevant, reinforcement learning. Proven ability to take AI research from problem framing through experimental design, model development, evaluation and prototype demonstration. Hands-on experience in at least one advanced AI area such as deep neural networks, computer vision, NLP/LLMs, multimodal AI, self-supervised learning, reinforcement learning, time-series analytics or foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers; OpenCV for vision applications. Strong understanding of experimental design, statistical evaluation, benchmarking and model validation. Experiment tracking and reproducibility tools, for example MLflow, Weights & Biases or equivalent. Data wrangling and analysis using Pandas, NumPy, SQL; familiarity with Spark or similar is a plus. Model optimisation and research-to-prototype deployment fundamentals, including ONNX, TorchScript, FastAPI/gRPC and GPU acceleration, with CUDA basics desirable. Responsible AI and security awareness: explainability, privacy-preserving methods, bias assessment, safety, assurance, adversarial robustness and secure AI. Scientific and technical writing skills, including preparation of technical reports, research papers, invention disclosures, model cards and experiment reports. Demonstrable experience producing high-quality technical documentation, research outputs, model evaluations or stakeholder briefings. Interpersonal Skills Ability to engage and influence diverse stakeholders, including Product Engineering Leaders, Customers, Design Authorities, Project Management, IS/IT, research partners and academic collaborators. Highly effective in a matrix-based organisation; a collaborative team player who drives outcomes while maintaining scientific rigour. Excellent communication skills; able to explain complex AI research concepts clearly to technical and non-technical audiences. Curious, creative and intellectually rigorous, with the ability to challenge constructively and develop novel solutions to ambiguous problems. Encourages an open environment where ideas are shared, technical debate is welcomed and innovation thrives. Desirable PhD or equivalent research experience in Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Engineering, Physics or a related discipline. Peer-reviewed publications, patents, invention disclosures, open-source contributions or recognised technical innovations. Experience with governance of architecture, research designs or detailed technical designs throughout the project lifecycle. Experience with large-scale data initiatives, data labelling strategies, synthetic data generation and data quality management. Familiarity with MLOps practices and cloud platforms for AI deployment. Experience working with academic partners, research institutions, grant-funded programmes or collaborative research consortia. Experience contributing to bids, proposals, customer demonstrations or externally funded innovation activities. Knowledge of cloud AI services, HPC environments, containerisation and secure research environments is desirable. Security Clearance statement Due the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires you to be a sole British National and achieve Security Clearance (SC) without any caveats. It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment. Please visit the UKSV website for further guidance- United Kingdom Security Vetting - GOV.UK ( ) To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances . click apply for full job details
01/09/2026
Full time
Location: Reading, United Kingdom Thales is a global technology leader with more than 83,000 employees on five continents. With over 7,500 people in the UK, operating across defence, space, aerospace, and digital security, we help build a future we can all trust. Thales supports the security and stability of our nation by providing extraordinary technology to our customers, as well as delivering social value to the UK with our products and services. AI Researcher Reading (RG2 6GF) - Hybrid Primary Purpose of the Role: To conduct high-impact AI research that develops novel, trustworthy and operationally relevant AI capabilities across Thales UK businesses and for our customers, increasing the quality of our offers, winning new business, strengthening technical differentiation, and improving customer outcomes. As part of the growing software, AI and research capability in cortAIx Factory / cortAIx UK, the AI Researcher will collaborate with AI engineers, AI assurance specialists, human-machine teaming researchers, product owners, domain experts, data engineers and software engineers to turn complex operational and business challenges into validated AI research outcomes, proofs of concept and transferable technical capability. The role will contribute novel AI methods, research assets, technical reports, publications, invention disclosures and reusable experimental approaches to Thales UK's internal catalogue of capabilities, accelerating responsible AI adoption across programmes. The role will connect with data, digital, research and engineering specialists across Thales UK and Group, maturing emerging AI technologies for future deployment and acting as a technical expert on advanced AI research used transversally throughout the business. We are interested in people with a background of both conduct research and delivering across a diverse range of products or industries. We are looking for those who can undertake the research but also understand how to translate this into product. Highly advantageous if you've supported or led bids/bid requirements. Key Responsibilities and Tasks: Conduct applied and experimental AI research to solve complex customer and business problems across defence, aerospace, cyber security, rail, critical national infrastructure and related domains. Develop state-of-the-art AI/ML solutions, proofs of concept and research prototypes using real-world data and operationally relevant problem statements. Investigate, design, implement and evaluate advanced AI methods, including but not limited to deep learning, multimodal AI, self-supervised learning, foundation models, generative AI, computer vision, NLP/LLMs, time-series analytics and reinforcement learning where relevant. Translate business and customer needs into clear research questions, experimental plans, technical requirements and measurable success criteria. Design robust evaluation methodologies, including baselines, benchmarks, ablation studies, uncertainty assessment, robustness testing and performance measurement against operationally meaningful metrics. Collaborate with AI V&V, AI Assurance, Human-Machine Teaming and Applied AI groups to ensure research outputs are trustworthy, human-centred, explainable and suitable for future operational use. Build reproducible research pipelines, including data preprocessing, feature engineering, model training, experiment tracking, evaluation and technical reporting. Ensure Responsible AI practices are embedded throughout the research lifecycle, including robustness, safety, explainability, transparency, fairness, privacy, security and alignment with MOD, regulatory and Thales governance requirements. Create proofs of concept, publications, invention disclosures, patents, technical reports and reusable research assets around advanced AI topics such as multimodal learning, self-supervised learning, foundation models and human-AI collaboration. Package research outputs in a form that enables transition to AI engineering teams, including demonstrator code, model cards, experiment reports, design notes and handover documentation. Support bids, PoCs, demos, customer workshops, innovation campaigns and stakeholder briefings by communicating research concepts and outcomes to technical and non-technical audiences. Work with data engineers, architects and domain experts on data acquisition, labelling strategies, synthetic data approaches, integration of third-party data and data quality management. Horizon scan for major AI research and technology trends, assess relevance to Thales markets, run trials and share best practices to accelerate responsible adoption. Skills, experience and qualifications required Degree/Masters, an equivalent in a relevant Software/AI subject, or equivalent experience. Relevant subject areas may include Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Engineering, Physics or a related technical discipline. Strong Python programming skills; proficiency with modern software engineering and research practices, including testing, code quality, reproducibility and collaborative development. Experience conducting AI/ML research or advanced AI development in complex technical environments, preferably including defence, aviation, rail, cyber security, safety-critical, mission-critical or similarly regulated domains. Expertise in ML/DL algorithms and techniques for supervised, unsupervised, self-supervised and, where relevant, reinforcement learning. Proven ability to take AI research from problem framing through experimental design, model development, evaluation and prototype demonstration. Hands-on experience in at least one advanced AI area such as deep neural networks, computer vision, NLP/LLMs, multimodal AI, self-supervised learning, reinforcement learning, time-series analytics or foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers; OpenCV for vision applications. Strong understanding of experimental design, statistical evaluation, benchmarking and model validation. Experiment tracking and reproducibility tools, for example MLflow, Weights & Biases or equivalent. Data wrangling and analysis using Pandas, NumPy, SQL; familiarity with Spark or similar is a plus. Model optimisation and research-to-prototype deployment fundamentals, including ONNX, TorchScript, FastAPI/gRPC and GPU acceleration, with CUDA basics desirable. Responsible AI and security awareness: explainability, privacy-preserving methods, bias assessment, safety, assurance, adversarial robustness and secure AI. Scientific and technical writing skills, including preparation of technical reports, research papers, invention disclosures, model cards and experiment reports. Demonstrable experience producing high-quality technical documentation, research outputs, model evaluations or stakeholder briefings. Interpersonal Skills Ability to engage and influence diverse stakeholders, including Product Engineering Leaders, Customers, Design Authorities, Project Management, IS/IT, research partners and academic collaborators. Highly effective in a matrix-based organisation; a collaborative team player who drives outcomes while maintaining scientific rigour. Excellent communication skills; able to explain complex AI research concepts clearly to technical and non-technical audiences. Curious, creative and intellectually rigorous, with the ability to challenge constructively and develop novel solutions to ambiguous problems. Encourages an open environment where ideas are shared, technical debate is welcomed and innovation thrives. Desirable PhD or equivalent research experience in Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Engineering, Physics or a related discipline. Peer-reviewed publications, patents, invention disclosures, open-source contributions or recognised technical innovations. Experience with governance of architecture, research designs or detailed technical designs throughout the project lifecycle. Experience with large-scale data initiatives, data labelling strategies, synthetic data generation and data quality management. Familiarity with MLOps practices and cloud platforms for AI deployment. Experience working with academic partners, research institutions, grant-funded programmes or collaborative research consortia. Experience contributing to bids, proposals, customer demonstrations or externally funded innovation activities. Knowledge of cloud AI services, HPC environments, containerisation and secure research environments is desirable. Security Clearance statement Due the nature of the work that we do at Thales, many of our roles are subject to security restrictions. This role requires you to be a sole British National and achieve Security Clearance (SC) without any caveats. It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant undergo, achieve, and maintain SC Clearance prior to commencing employment. Please visit the UKSV website for further guidance- United Kingdom Security Vetting - GOV.UK ( ) To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances . click apply for full job details
Design, train, and deploy production-grade ML models. About the Role As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of production-grade machine learning systems for global enterprise clients. You'll work at the intersection of research and engineering, translating cutting edge papers into scalable, reliable solutions. This is a high impact role where you'll mentor junior engineers, shape our ML architecture, and collaborate directly with clients to solve their most complex challenges. Design and implement end-to-end ML pipelines from experimentation to production Lead model development across NLP, computer vision, and time series forecasting Architect scalable model serving infrastructure on cloud platforms (AWS/GCP/Azure) Conduct rigorous model evaluation, A/B testing, and performance monitoring Mentor junior ML engineers and conduct technical code reviews Collaborate with data engineers to optimise feature stores and data pipelines Stay current with latest ML research and evaluate applicability to client projects Requirements 5+ years of experience in machine learning engineering or applied ML research Strong proficiency in Python, PyTorch or TensorFlow, and Scikit-learn Experience deploying ML models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience with cloud ML services (SageMaker, Vertex AI, or Azure ML) Strong software engineering practices: version control, testing, CI/CD MSc or PhD in Computer Science, Machine Learning, or related field Nice to Have Published research in top ML venues (NeurIPS, ICML, ACL, CVPR). Experience with MLOps tools: MLflow, Weights & Biases, DVC. Familiarity with distributed training frameworks (DeepSpeed, Horovod). Experience with LLM fine-tuning and prompt engineering. Contributions to open-source ML projects. Competitive salary with annual performance bonus. £2,000 annual conference and learning budget. Private healthcare and dental cover. Hybrid working - flexible office/remote split. 30 days annual leave plus bank holidays. Stock option scheme and pension matching. Latest hardware (M-series MacBook Pro, GPU workstation access). About the Team Our AI Research team is a tight knit group of 8 researchers and engineers passionate about pushing the boundaries of applied AI. We publish at top venues, contribute to open-source, and work on problems spanning healthcare diagnostics, financial risk modelling, and autonomous systems. You'll have the freedom to explore new ideas while delivering real value to clients.
06/08/2026
Full time
Design, train, and deploy production-grade ML models. About the Role As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of production-grade machine learning systems for global enterprise clients. You'll work at the intersection of research and engineering, translating cutting edge papers into scalable, reliable solutions. This is a high impact role where you'll mentor junior engineers, shape our ML architecture, and collaborate directly with clients to solve their most complex challenges. Design and implement end-to-end ML pipelines from experimentation to production Lead model development across NLP, computer vision, and time series forecasting Architect scalable model serving infrastructure on cloud platforms (AWS/GCP/Azure) Conduct rigorous model evaluation, A/B testing, and performance monitoring Mentor junior ML engineers and conduct technical code reviews Collaborate with data engineers to optimise feature stores and data pipelines Stay current with latest ML research and evaluate applicability to client projects Requirements 5+ years of experience in machine learning engineering or applied ML research Strong proficiency in Python, PyTorch or TensorFlow, and Scikit-learn Experience deploying ML models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience with cloud ML services (SageMaker, Vertex AI, or Azure ML) Strong software engineering practices: version control, testing, CI/CD MSc or PhD in Computer Science, Machine Learning, or related field Nice to Have Published research in top ML venues (NeurIPS, ICML, ACL, CVPR). Experience with MLOps tools: MLflow, Weights & Biases, DVC. Familiarity with distributed training frameworks (DeepSpeed, Horovod). Experience with LLM fine-tuning and prompt engineering. Contributions to open-source ML projects. Competitive salary with annual performance bonus. £2,000 annual conference and learning budget. Private healthcare and dental cover. Hybrid working - flexible office/remote split. 30 days annual leave plus bank holidays. Stock option scheme and pension matching. Latest hardware (M-series MacBook Pro, GPU workstation access). About the Team Our AI Research team is a tight knit group of 8 researchers and engineers passionate about pushing the boundaries of applied AI. We publish at top venues, contribute to open-source, and work on problems spanning healthcare diagnostics, financial risk modelling, and autonomous systems. You'll have the freedom to explore new ideas while delivering real value to clients.
Qureight Ltd. is seeking a Machine Learning Engineer to build, train, optimise and deploy state-of-the-art computer vision models for 3D medical imaging. You will develop scalable inference pipelines, improve data loading and CI tooling, and collaborate with ML Scientists, DevOps, Data Engineering and Software Engineering teams. You'll work with Python, PyTorch, Docker and cloud environments to turn research models into robust production workflows that operate at scale and with reproducible
06/08/2026
Full time
Qureight Ltd. is seeking a Machine Learning Engineer to build, train, optimise and deploy state-of-the-art computer vision models for 3D medical imaging. You will develop scalable inference pipelines, improve data loading and CI tooling, and collaborate with ML Scientists, DevOps, Data Engineering and Software Engineering teams. You'll work with Python, PyTorch, Docker and cloud environments to turn research models into robust production workflows that operate at scale and with reproducible
About us Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role As Qureight scales its AI-driven imaging platform and expands its work with pharmaceutical and clinical partners, we are building the machine learning engineering capability required to train, optimise and deploy large-scale 3D medical-imaging models reliably. We are looking for a Machine Learning Engineer to focus on the development, training, optimisation and inference of state-of-the-art computer vision models applied to volumetric CT data. The role focuses on ensuring that models can be trained efficiently, deployed securely, and operate at scale. This role sits within the Machine Learning function and works closely with ML Scientists, DevOps, Data Engineering and Software Engineering teams to turn research models into robust, scalable and reproducible training and inference workflows. What you will do Develop robust, scalable and reproducible inference pipelines. Deploy models into production using ONNX, TensorRT or similar frameworks. Build and optimise scalable machine learning training workflows. Optimise data loading, logging, checkpointing and resource utilisation for large-scale model training. Act as a bridge between research and production, translating research into reliable, maintainable and scalable engineering components. Support cloud-based ML infrastructure such as MLFlow. Create and maintain CI pipelines for model training, testing and deployment workflows. Collaborate with DevOps and infrastructure teams on deployment patterns and infrastructure as code. Improve reproducibility, traceability and quality across ML engineering workflows. Identify risks, communicate trade-offs and proactively improve tooling and processes. Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases. Experience building, optimising and maintaining ML training and inference pipelines. Experience with Docker and containerised ML workflows. Experience with model deployment and optimisation frameworks such as ONNX, TensorRT or similar tools. Experience with GPU-based training, model serving and compute optimisation. Experience building and maintaining CI pipelines. Experience with cloud environments. Strong knowledge of Linux shells, git and modern Python development tools such as uv, poetry, ruff, black, mypy or ty. Experience with modern development workflows, including pull requests, code review, documentation and ticketing. Strong communication skills and ability to work across ML Science, DevOps, Data Engineering and Software Engineering teams. Even better ifyou have Experience working with 3D medical imaging, CT data, DICOM, NIfTI or NRRD formats. Experience deploying models in regulated, clinical, pharmaceutical or healthcare environments. Experience with infrastructure as code, such as Terraform. Experience with multi-stage Docker containers and secure software supply-chain practices. Experience with distributed training, large-scale data loading or high-performance computing environments. Experience supporting research-to-production ML workflows. Experience with monitoring, observability, model versioning or MLflow-like tooling. A comprehensive benefits package that includesan annual bonus plan,private medical insurance, life insurance, and acontributory pension scheme 25 days annual leave,plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations. Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
06/08/2026
Full time
About us Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role As Qureight scales its AI-driven imaging platform and expands its work with pharmaceutical and clinical partners, we are building the machine learning engineering capability required to train, optimise and deploy large-scale 3D medical-imaging models reliably. We are looking for a Machine Learning Engineer to focus on the development, training, optimisation and inference of state-of-the-art computer vision models applied to volumetric CT data. The role focuses on ensuring that models can be trained efficiently, deployed securely, and operate at scale. This role sits within the Machine Learning function and works closely with ML Scientists, DevOps, Data Engineering and Software Engineering teams to turn research models into robust, scalable and reproducible training and inference workflows. What you will do Develop robust, scalable and reproducible inference pipelines. Deploy models into production using ONNX, TensorRT or similar frameworks. Build and optimise scalable machine learning training workflows. Optimise data loading, logging, checkpointing and resource utilisation for large-scale model training. Act as a bridge between research and production, translating research into reliable, maintainable and scalable engineering components. Support cloud-based ML infrastructure such as MLFlow. Create and maintain CI pipelines for model training, testing and deployment workflows. Collaborate with DevOps and infrastructure teams on deployment patterns and infrastructure as code. Improve reproducibility, traceability and quality across ML engineering workflows. Identify risks, communicate trade-offs and proactively improve tooling and processes. Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases. Experience building, optimising and maintaining ML training and inference pipelines. Experience with Docker and containerised ML workflows. Experience with model deployment and optimisation frameworks such as ONNX, TensorRT or similar tools. Experience with GPU-based training, model serving and compute optimisation. Experience building and maintaining CI pipelines. Experience with cloud environments. Strong knowledge of Linux shells, git and modern Python development tools such as uv, poetry, ruff, black, mypy or ty. Experience with modern development workflows, including pull requests, code review, documentation and ticketing. Strong communication skills and ability to work across ML Science, DevOps, Data Engineering and Software Engineering teams. Even better ifyou have Experience working with 3D medical imaging, CT data, DICOM, NIfTI or NRRD formats. Experience deploying models in regulated, clinical, pharmaceutical or healthcare environments. Experience with infrastructure as code, such as Terraform. Experience with multi-stage Docker containers and secure software supply-chain practices. Experience with distributed training, large-scale data loading or high-performance computing environments. Experience supporting research-to-production ML workflows. Experience with monitoring, observability, model versioning or MLflow-like tooling. A comprehensive benefits package that includesan annual bonus plan,private medical insurance, life insurance, and acontributory pension scheme 25 days annual leave,plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations. Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
