Safran is an international high-technology group, operating in the aviation (propulsion, equipment and interiors), defense and space markets. Its core purpose is to contribute to a safer, more sustainable world, where air transport is more environmentally friendly, comfortable and accessible. Safran has a global presence, with 100,000 employees and sales of 27.3 billion euros in 2024, and holds, alone or in partnership, world or regional leadership positions in its core markets. Safran is in the 2nd place in the aerospace and defense industry in TIME magazine's "World's best companies 2024" ranking. Safran Seats is one of the world's leading manufacturers of aircraft seats, for both crew and passengers. 1 million Safran Seats-manufactured aircraft seats are currently in service with air fleets around the world. Embedded Systems Engineer - AI Innovation Cwmbran, South Wales On Site - occasional opportunity for home working Skills: Artificial Intelligence, Machine Learning, Real-Time, Embedded development, Custom Models, Sensor Fusion, Automation, Edge AI, RTOS, Deep learning, LLM, ANN, C++, Electronics, Mechatronics, Robotics Looking after the people who make Safran great is our priority. We offer a range of flexible benefits designed to support you-both in and out of work, including: Early finish on Fridays Competitive salary and annual bonus and pay review 25 days' holiday + bank holidays (option to buy/sell) Strong Pension scheme and life assurance Professional development, ongoing training, mentoring Onsite amenities: parking, restaurant, bicycle storage, showers Family-friendly and accessible workplace policies Safran - Here, we craft excellence together. At Safran, excellence is a journey - and we'd love you to be a part of it. As a trusted global leader in aerospace, defence, and space, we are proud to be a company where diversity, innovation, and opportunity come together to shape a sustainable future where we can all succeed together through a shared vision We are looking for passionate individuals to join our Engineering Innovation team as an Embedded Systems Engineer at our Cwmbran, South Wales site. Your Role As a key member of our Research & Technology team at Safran Seats, you'll use cutting-edge artificial intelligence to improve our products and processes - particularly by elevating passenger experience with intelligent edge-based systems in aircraft cabins. You'll collaborate with experts, partners, and innovators, using your hands-on technical skills to bring AI concepts from idea to real-world demonstration, all while helping build AI capabilities among colleagues. Key Responsibilities: Build deep technical and regulatory understanding of our cabin/seat electronic and data systems. Develop and test edge-AI solutions that enhance passenger experience and advance internal R&T workflows. Lead proof-of-concept trials and demonstrate the value of AI for real Safran products. Drive projects through our Technology Readiness Level process, ensuring compliance and maturity. Share AI knowledge across teams; be an in-house AI ambassador! Manage external collaborations with universities and technology partners. Maintain up-to-date project plans, budgets, and technical records. Represent Safran at industry conferences and technology events. What You'll Bring Degree (or equivalent experience) in Engineering, Computer Science, Data Science, Electronics, or similar (Essential) Proven experience designing, training, and deploying AI/ML models (deep learning/classical ML) on real-world problems (Essential) Hands-on skills integrating and deploying AI solutions on edge or resource-constrained platforms (MCUs, MPUs, GPUs, SoCs) (Essential) Programming proficiency: Python, C/C++, TensorFlow/PyTorch; version control (e.g., Git) (Essential) Innovative, practical, and communicative - comfortable explaining AI concepts and collaborating with a wide range of stakeholders (Essential) Proven experience in custom model generation with model optimisation to achieve performance targets within system constraints. (Essential) Embedded system development using RTOS, with experience in debugging and troubleshooting target hardware. (Desirable) Postgraduate qualification or formal training in AI/ML, data science, human-computer interaction or related specialism. (Desirable) At Safran, we understand that diversity and inclusion make teams stronger and more effective, and as an organisation, we are committed to fair and equitable employment practices for everyone. We also know that some candidates may be put off applying for jobs where they don't meet 100% of the criteria outlined in the advert, however, we encourage anybody to apply if you can demonstrate a variety of skills and experience relevant to the requirements of this role. Please let us know if you would like to discuss any reasonable adjustments to the application or hiring process that may better facilitate your participation.
Aug 08, 2026
Full time
Safran is an international high-technology group, operating in the aviation (propulsion, equipment and interiors), defense and space markets. Its core purpose is to contribute to a safer, more sustainable world, where air transport is more environmentally friendly, comfortable and accessible. Safran has a global presence, with 100,000 employees and sales of 27.3 billion euros in 2024, and holds, alone or in partnership, world or regional leadership positions in its core markets. Safran is in the 2nd place in the aerospace and defense industry in TIME magazine's "World's best companies 2024" ranking. Safran Seats is one of the world's leading manufacturers of aircraft seats, for both crew and passengers. 1 million Safran Seats-manufactured aircraft seats are currently in service with air fleets around the world. Embedded Systems Engineer - AI Innovation Cwmbran, South Wales On Site - occasional opportunity for home working Skills: Artificial Intelligence, Machine Learning, Real-Time, Embedded development, Custom Models, Sensor Fusion, Automation, Edge AI, RTOS, Deep learning, LLM, ANN, C++, Electronics, Mechatronics, Robotics Looking after the people who make Safran great is our priority. We offer a range of flexible benefits designed to support you-both in and out of work, including: Early finish on Fridays Competitive salary and annual bonus and pay review 25 days' holiday + bank holidays (option to buy/sell) Strong Pension scheme and life assurance Professional development, ongoing training, mentoring Onsite amenities: parking, restaurant, bicycle storage, showers Family-friendly and accessible workplace policies Safran - Here, we craft excellence together. At Safran, excellence is a journey - and we'd love you to be a part of it. As a trusted global leader in aerospace, defence, and space, we are proud to be a company where diversity, innovation, and opportunity come together to shape a sustainable future where we can all succeed together through a shared vision We are looking for passionate individuals to join our Engineering Innovation team as an Embedded Systems Engineer at our Cwmbran, South Wales site. Your Role As a key member of our Research & Technology team at Safran Seats, you'll use cutting-edge artificial intelligence to improve our products and processes - particularly by elevating passenger experience with intelligent edge-based systems in aircraft cabins. You'll collaborate with experts, partners, and innovators, using your hands-on technical skills to bring AI concepts from idea to real-world demonstration, all while helping build AI capabilities among colleagues. Key Responsibilities: Build deep technical and regulatory understanding of our cabin/seat electronic and data systems. Develop and test edge-AI solutions that enhance passenger experience and advance internal R&T workflows. Lead proof-of-concept trials and demonstrate the value of AI for real Safran products. Drive projects through our Technology Readiness Level process, ensuring compliance and maturity. Share AI knowledge across teams; be an in-house AI ambassador! Manage external collaborations with universities and technology partners. Maintain up-to-date project plans, budgets, and technical records. Represent Safran at industry conferences and technology events. What You'll Bring Degree (or equivalent experience) in Engineering, Computer Science, Data Science, Electronics, or similar (Essential) Proven experience designing, training, and deploying AI/ML models (deep learning/classical ML) on real-world problems (Essential) Hands-on skills integrating and deploying AI solutions on edge or resource-constrained platforms (MCUs, MPUs, GPUs, SoCs) (Essential) Programming proficiency: Python, C/C++, TensorFlow/PyTorch; version control (e.g., Git) (Essential) Innovative, practical, and communicative - comfortable explaining AI concepts and collaborating with a wide range of stakeholders (Essential) Proven experience in custom model generation with model optimisation to achieve performance targets within system constraints. (Essential) Embedded system development using RTOS, with experience in debugging and troubleshooting target hardware. (Desirable) Postgraduate qualification or formal training in AI/ML, data science, human-computer interaction or related specialism. (Desirable) At Safran, we understand that diversity and inclusion make teams stronger and more effective, and as an organisation, we are committed to fair and equitable employment practices for everyone. We also know that some candidates may be put off applying for jobs where they don't meet 100% of the criteria outlined in the advert, however, we encourage anybody to apply if you can demonstrate a variety of skills and experience relevant to the requirements of this role. Please let us know if you would like to discuss any reasonable adjustments to the application or hiring process that may better facilitate your participation.
Research Scientist / Research Engineer - Multimodal AI & Large Language Models Location: London Salary: (phone number removed) per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with an innovative research organisation at the forefront of artificial intelligence to hire exceptional Research Scientists and Research Engineers specialising in Multimodal AI, Vision-Language Models and Large-Scale Deep Learning Systems . This is an opportunity to join a world-class research environment focused on advancing the next generation of AI technologies, working alongside leading researchers on cutting-edge challenges in multimodal understanding, generation, reasoning and embodied intelligence. You will have access to significant computing resources and the freedom to contribute to breakthrough research while helping translate innovative ideas into real-world applications. The Role As a key member of the research team, you will contribute to the development of state-of-the-art multimodal AI systems, driving advancements across model architecture, data infrastructure and large-scale training systems. Key Responsibilities AI Research & Model Development Design and develop next-generation Vision Transformers (ViTs) and multimodal large language models. Advance research in multimodal alignment, representation learning and long-context reasoning. Explore and implement scalable training methodologies for large multimodal models. Optimise model architectures to improve performance, efficiency and generalisation. Data & Dataset Development Process and curate large-scale multimodal datasets spanning image, video, audio and text data. Build robust data pipelines covering cleaning, filtering, annotation and quality assurance. Develop reproducible dataset management and version control processes. Improve training outcomes through data sampling, mixture optimisation and feedback-driven curation. AI Infrastructure & Systems Develop distributed training frameworks for large-scale AI models. Enhance GPU utilisation, cluster performance and resource scheduling. Build and improve training, inference and model serving systems. Contribute to scalable, reliable and high-performance AI infrastructure. Research to Production Collaborate with engineering and product teams to deploy advanced AI capabilities. Translate research innovations into practical applications and user-facing solutions. Support the continuous improvement and iteration of deployed models. About You Essential Requirements Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. Passion for advancing AI research and solving complex technical challenges. 1st Author publications in leading AI, machine learning or computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML or ICLR. Previous experience within AI research teams, leading technology organisations or advanced R&D environments. Experience pre-training or fine-tuning large-scale foundation models.
Aug 08, 2026
Full time
Research Scientist / Research Engineer - Multimodal AI & Large Language Models Location: London Salary: (phone number removed) per annum + permanent benefits + bonus Job Type: Permanent, Full-Time, On-site About the Opportunity We are partnering with an innovative research organisation at the forefront of artificial intelligence to hire exceptional Research Scientists and Research Engineers specialising in Multimodal AI, Vision-Language Models and Large-Scale Deep Learning Systems . This is an opportunity to join a world-class research environment focused on advancing the next generation of AI technologies, working alongside leading researchers on cutting-edge challenges in multimodal understanding, generation, reasoning and embodied intelligence. You will have access to significant computing resources and the freedom to contribute to breakthrough research while helping translate innovative ideas into real-world applications. The Role As a key member of the research team, you will contribute to the development of state-of-the-art multimodal AI systems, driving advancements across model architecture, data infrastructure and large-scale training systems. Key Responsibilities AI Research & Model Development Design and develop next-generation Vision Transformers (ViTs) and multimodal large language models. Advance research in multimodal alignment, representation learning and long-context reasoning. Explore and implement scalable training methodologies for large multimodal models. Optimise model architectures to improve performance, efficiency and generalisation. Data & Dataset Development Process and curate large-scale multimodal datasets spanning image, video, audio and text data. Build robust data pipelines covering cleaning, filtering, annotation and quality assurance. Develop reproducible dataset management and version control processes. Improve training outcomes through data sampling, mixture optimisation and feedback-driven curation. AI Infrastructure & Systems Develop distributed training frameworks for large-scale AI models. Enhance GPU utilisation, cluster performance and resource scheduling. Build and improve training, inference and model serving systems. Contribute to scalable, reliable and high-performance AI infrastructure. Research to Production Collaborate with engineering and product teams to deploy advanced AI capabilities. Translate research innovations into practical applications and user-facing solutions. Support the continuous improvement and iteration of deployed models. About You Essential Requirements Bachelor's degree or higher in Computer Science, Mathematics, Statistics or a related technical field. Strong Python programming skills and hands-on experience with PyTorch and modern deep learning frameworks. Excellent understanding of machine learning algorithms, mathematical modelling and problem-solving techniques. Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. Passion for advancing AI research and solving complex technical challenges. 1st Author publications in leading AI, machine learning or computer vision conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML or ICLR. Previous experience within AI research teams, leading technology organisations or advanced R&D environments. Experience pre-training or fine-tuning large-scale foundation models.
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.
Aug 08, 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.
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.
Aug 07, 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.
Aug 07, 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.
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.
Aug 07, 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.
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.
Aug 07, 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.
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.
Aug 06, 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.
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile Leadership: Coaches Scrum/Kanban practices; drives ceremonies and continuous improvement Backlog & Execution: Builds, prioritizes, and manages backlogs; aligns scope, timeline, and quality across squads Stakeholder Communication: Delivers project status updates, manages dependencies/risks, and facilitates decisions Project Reporting & Governance: Maintains dashboards and documentation; enforces delivery standards and controls Tools: Jira, Confluence, Agile estimation (story points, velocity, burndown) Technical Fluency (Preferred): Working knowledge of data science workflows, coding concepts, AWS, and enterprise deployments Multi-Squad Coordination (Preferred): Experience scaling delivery across regions and cross-functional teams Familiarity with Machine Learning and GenAI tools and frameworks Good knowledge of finance concepts, notably financial analysis Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency Proven ability to implement AI-powered solutions to solve business challenges Education Bachelor's or master's degree in computer science, engineering, or a related field is preferred. Candidates with business-related degrees will also be considered, provided they have prior hands-on technical experience Professional certifications such as PMP (Project Management Professional), AWS Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable Responsibilities Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments Facilitate quarterly planning and roadmap alignment with engineering and product teams Champion Agile methodologies (Scrum, Kanban) and coach cross-functional teams to embed Agile mindsets Facilitate ceremonies, retrospectives, and workshops to foster adaptability and innovation Engage with senior stakeholders across the organization, including analytical and technology teams Ensure transparency through dashboards, objectives and key results, and performance reporting Assist with running product pilot programmes, product rollouts, user feedback collection in the product management cycle Identify and mitigate delivery risks proactively Track quality metrics and drive continuous improvement Partner with data science, ML operations, and front-end teams to optimise release processes and reduce time-to-market Ensure alignment of delivery with product vision and business strategy About The Team Moody's Ratings' AI Analytics group develops advanced ML/GenAI for high-profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure ML/Gen AI solutions. The successful candidate will strive to meet Moody's values: openness, diversity, inclusivity, respect, and a willingness to learn. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Aug 06, 2026
Full time
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile Leadership: Coaches Scrum/Kanban practices; drives ceremonies and continuous improvement Backlog & Execution: Builds, prioritizes, and manages backlogs; aligns scope, timeline, and quality across squads Stakeholder Communication: Delivers project status updates, manages dependencies/risks, and facilitates decisions Project Reporting & Governance: Maintains dashboards and documentation; enforces delivery standards and controls Tools: Jira, Confluence, Agile estimation (story points, velocity, burndown) Technical Fluency (Preferred): Working knowledge of data science workflows, coding concepts, AWS, and enterprise deployments Multi-Squad Coordination (Preferred): Experience scaling delivery across regions and cross-functional teams Familiarity with Machine Learning and GenAI tools and frameworks Good knowledge of finance concepts, notably financial analysis Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency Proven ability to implement AI-powered solutions to solve business challenges Education Bachelor's or master's degree in computer science, engineering, or a related field is preferred. Candidates with business-related degrees will also be considered, provided they have prior hands-on technical experience Professional certifications such as PMP (Project Management Professional), AWS Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable Responsibilities Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments Facilitate quarterly planning and roadmap alignment with engineering and product teams Champion Agile methodologies (Scrum, Kanban) and coach cross-functional teams to embed Agile mindsets Facilitate ceremonies, retrospectives, and workshops to foster adaptability and innovation Engage with senior stakeholders across the organization, including analytical and technology teams Ensure transparency through dashboards, objectives and key results, and performance reporting Assist with running product pilot programmes, product rollouts, user feedback collection in the product management cycle Identify and mitigate delivery risks proactively Track quality metrics and drive continuous improvement Partner with data science, ML operations, and front-end teams to optimise release processes and reduce time-to-market Ensure alignment of delivery with product vision and business strategy About The Team Moody's Ratings' AI Analytics group develops advanced ML/GenAI for high-profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure ML/Gen AI solutions. The successful candidate will strive to meet Moody's values: openness, diversity, inclusivity, respect, and a willingness to learn. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Principal Firmware Engineer Luton 12-month contract Paying up to 85p/h (Inside IR35) Please Note - Due to the nature of the work you?ll be required to be eligible to obtain a high level of UK Security Clearance Responsibilities : Design tools such as Xilinx, TCL, Verilog, System Verilog and UVM FPGA architectures such as Xilinx 7. Xilinx UltraScale; Intel (Altera) or Microsemi (Actel). Fast interfaces such as PCIe, Ethernet, and JESD is also required. Auto-generated code using model driven engineering using MATLAB and Simulink tools Derivation of detailed Firmware requirements and architecture from system requirements A structured approach to firmware design (RTCA DO-254 or similar) Artificial Intelligence including machine learning and genetic algorithms Electronics test methods and equipment Experience required: HNC/HND or Undergraduate Degree (Electronic Engineering, Computer Science, AI, Games Programming, Physics, or Applied Physics) or you may just have lots of skills and industry experience. Knowledge of Cryptography and anti-tamper techniques Ideally have experience within the defence industry or other highly regulated industries. Good verbal and written communication skills Working in mixed discipline teams 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.
Aug 06, 2026
Contractor
Principal Firmware Engineer Luton 12-month contract Paying up to 85p/h (Inside IR35) Please Note - Due to the nature of the work you?ll be required to be eligible to obtain a high level of UK Security Clearance Responsibilities : Design tools such as Xilinx, TCL, Verilog, System Verilog and UVM FPGA architectures such as Xilinx 7. Xilinx UltraScale; Intel (Altera) or Microsemi (Actel). Fast interfaces such as PCIe, Ethernet, and JESD is also required. Auto-generated code using model driven engineering using MATLAB and Simulink tools Derivation of detailed Firmware requirements and architecture from system requirements A structured approach to firmware design (RTCA DO-254 or similar) Artificial Intelligence including machine learning and genetic algorithms Electronics test methods and equipment Experience required: HNC/HND or Undergraduate Degree (Electronic Engineering, Computer Science, AI, Games Programming, Physics, or Applied Physics) or you may just have lots of skills and industry experience. Knowledge of Cryptography and anti-tamper techniques Ideally have experience within the defence industry or other highly regulated industries. Good verbal and written communication skills Working in mixed discipline teams 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.
Graduate Software Engineer London An early stage technology company is hiring a Graduate Software Engineer into its R&D team. The business has built a cloud platform that turns real world audio and video into structured, actionable intelligence for commercial customers, and is scaling quickly as the product goes to market. The role The successful candidate will work across the AI and ML systems behind the platform. The team is small, so the focus can chage week to week and the role offers real breadth from day one. That includes prompt engineering against multimodal models, retrieval and agent systems, computer vision, and the backend services and evaluation tooling that hold it all together. What is needed A strong degree in computer science or a related STEM subject from a leading university Hands on exposure to LLM APIs or machine learning through projects, internships or placements Curiosity and the instinct to dig into the data when something looks wrong Experience with Go, Python or C is useful. On offer A competitive salary, equity options, healthcare, and close mentoring from engineers who have built products at scale.
Aug 06, 2026
Full time
Graduate Software Engineer London An early stage technology company is hiring a Graduate Software Engineer into its R&D team. The business has built a cloud platform that turns real world audio and video into structured, actionable intelligence for commercial customers, and is scaling quickly as the product goes to market. The role The successful candidate will work across the AI and ML systems behind the platform. The team is small, so the focus can chage week to week and the role offers real breadth from day one. That includes prompt engineering against multimodal models, retrieval and agent systems, computer vision, and the backend services and evaluation tooling that hold it all together. What is needed A strong degree in computer science or a related STEM subject from a leading university Hands on exposure to LLM APIs or machine learning through projects, internships or placements Curiosity and the instinct to dig into the data when something looks wrong Experience with Go, Python or C is useful. On offer A competitive salary, equity options, healthcare, and close mentoring from engineers who have built products at scale.
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)
Aug 05, 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)
Graduate/Junior LabVIEW Engineer 30,000 - 38,000 + Training + Private Healthcare + 33 Days Holiday + Benefits Gloucester Are you a recent graduate or a junior with a background in software engineering, computer science, automation or robotics? Do you want to start your career working with LabVIEW and develop specialist skills in automation and control systems? On offer is a fantastic opportunity to join a well-established engineering company that delivers bespoke software and hardware solutions across industries such as aerospace, defence, petrochemical, manufacturing, automation and telecommunications. With a reputation for innovation and quality, they provide tailored training and development to help graduates progress quickly into professional engineering roles. As a Graduate/Junior LabVIEW Engineer, you will work alongside highly skilled programming engineers, gaining hands-on training in LabVIEW and other development software. You will be given exposure to real projects, learning how to program and integrate complex machinery, and supporting the development of automation and test systems that serve clients worldwide. This is a great opportunity for a graduate who is motivated to learn, keen to develop technical expertise, and excited by the chance to build a career working on cutting-edge automation projects with long-term support and progression. The role: Graduate/Junior LabVIEW Engineer Hands-on training in LabVIEW and other development tools Programming and small project tasks under supervision Exposure to control, automation and test system development Long-term technical development and progression opportunities The person: Degree in Computer Science, Software Engineering, Automation Engineering, Robotics or related subject University modules/projects in control systems, robotics, automation, LabVIEW or C++ Strong interest in industrial automation and control technology Eligible to work in the UK Reference Number: BBBH - BBBH(phone number removed) To apply for this role or to be considered for further roles, please click "Apply Now" or contact Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
Aug 05, 2026
Full time
Graduate/Junior LabVIEW Engineer 30,000 - 38,000 + Training + Private Healthcare + 33 Days Holiday + Benefits Gloucester Are you a recent graduate or a junior with a background in software engineering, computer science, automation or robotics? Do you want to start your career working with LabVIEW and develop specialist skills in automation and control systems? On offer is a fantastic opportunity to join a well-established engineering company that delivers bespoke software and hardware solutions across industries such as aerospace, defence, petrochemical, manufacturing, automation and telecommunications. With a reputation for innovation and quality, they provide tailored training and development to help graduates progress quickly into professional engineering roles. As a Graduate/Junior LabVIEW Engineer, you will work alongside highly skilled programming engineers, gaining hands-on training in LabVIEW and other development software. You will be given exposure to real projects, learning how to program and integrate complex machinery, and supporting the development of automation and test systems that serve clients worldwide. This is a great opportunity for a graduate who is motivated to learn, keen to develop technical expertise, and excited by the chance to build a career working on cutting-edge automation projects with long-term support and progression. The role: Graduate/Junior LabVIEW Engineer Hands-on training in LabVIEW and other development tools Programming and small project tasks under supervision Exposure to control, automation and test system development Long-term technical development and progression opportunities The person: Degree in Computer Science, Software Engineering, Automation Engineering, Robotics or related subject University modules/projects in control systems, robotics, automation, LabVIEW or C++ Strong interest in industrial automation and control technology Eligible to work in the UK Reference Number: BBBH - BBBH(phone number removed) To apply for this role or to be considered for further roles, please click "Apply Now" or contact Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
Job Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Aug 04, 2026
Full time
Job Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Machine Learning Engineer/Computer Vision Engineer We are working with an innovative UK technology business developing AI powered software solutions that combine multiple data sources to deliver intelligent situational awareness and Real Time insights. Their technology. As a growing organisation, they are offering the opportunity to work on technically challenging problems with real world impact, building products that are deployed across cloud, edge and on premise environments Location - Bristol - two days a week onsite Salary - Up to £85,000 The Role As a Machine Learning Engineer, you will play a key role in designing, developing and deploying advanced computer vision and machine learning solutions. You will be working with large scale image datasets and developing high performance models for real world applications. Working as part of a small engineering team, you will have significant ownership of technical solutions while collaborating closely with colleagues across the business Key Skills Strong commercial experience with Python and PyTorch Proven expertise in Computer Vision rather than general Machine Learning or LLMs Experience in developing and deploying production ready machine learning models Strong understanding of the full ML life cycles, from model deployments through to deployment Experience working with large scale image datasets Knowledge of object detection, tracking, classification or similar computer vision techniques Experience with model optimisation and peroamnce tuning Exposure to edge inference and deploying models in production If this could be something you would be keen on applying for, or finding out more, please do not hesitate to reach out to me at (see below) Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Aug 04, 2026
Full time
Machine Learning Engineer/Computer Vision Engineer We are working with an innovative UK technology business developing AI powered software solutions that combine multiple data sources to deliver intelligent situational awareness and Real Time insights. Their technology. As a growing organisation, they are offering the opportunity to work on technically challenging problems with real world impact, building products that are deployed across cloud, edge and on premise environments Location - Bristol - two days a week onsite Salary - Up to £85,000 The Role As a Machine Learning Engineer, you will play a key role in designing, developing and deploying advanced computer vision and machine learning solutions. You will be working with large scale image datasets and developing high performance models for real world applications. Working as part of a small engineering team, you will have significant ownership of technical solutions while collaborating closely with colleagues across the business Key Skills Strong commercial experience with Python and PyTorch Proven expertise in Computer Vision rather than general Machine Learning or LLMs Experience in developing and deploying production ready machine learning models Strong understanding of the full ML life cycles, from model deployments through to deployment Experience working with large scale image datasets Knowledge of object detection, tracking, classification or similar computer vision techniques Experience with model optimisation and peroamnce tuning Exposure to edge inference and deploying models in production If this could be something you would be keen on applying for, or finding out more, please do not hesitate to reach out to me at (see below) Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.
Job Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Aug 04, 2026
Full time
Job Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Job Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Aug 04, 2026
Full time
Job Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.
Junior Software Developer Central London, Old Street Hybrid, 1 to 2 days per week in the office initially Up to £55,000 I am working with an innovative technology company that uses AI, machine learning and modern software engineering to build products that solve real-world transport challenges. They are looking for a Junior Software Developer with around 1 to 2 years of commercial experience to join their growing engineering team. This is an excellent opportunity for someone who enjoys backend development and wants to gain broader commercial experience across Python, Node.js, databases, cloud technologies and production machine learning systems. Rather than being restricted to one area, you will contribute across the full software development lifecycle, giving you the opportunity to broaden your technical skills and accelerate your career. What You Will Be Doing Developing backend services and APIs using Python and Node.js Working with PostgreSQL, SQL and MongoDB Contributing to React-based frontend applications Supporting the training and deployment of commercial machine learning models Working with object detection and computer vision functionality Deploying and maintaining applications using AWS Collaborating with an experienced engineering team to build clean, scalable and maintainable software What They Are Looking For You will ideally have: Around 1 to 2 years of commercial software development experience Commercial experience with Python and/or Node.js Experience working with SQL or NoSQL databases, including PostgreSQL, SQL or MongoDB Practical commercial exposure to machine learning projects Experience contributing to the deployment of an ML solution as part of a team Experience with React, AWS, Django, Flask, FastAPI, REST APIs, Git or CI/CD would also be beneficial. You do not need to be a machine learning specialist. However, you should have practical industry experience working with and deploying machine learning solutions as part of a commercial team, rather than exposure limited to coursework or personal projects. Why Join? Broad engineering role covering backend development, databases, cloud and machine learning Hands-on exposure to commercial AI and computer vision technology Opportunity to work on real products that solve practical transport challenges Modern technology stack Visible contribution within a growing engineering team Genuine scope to learn, take ownership and progress Flexible hybrid working Salary of up to £55,000 The company is based in Central London, close to Old Street. New starters are encouraged to spend 1 to 2 days per week in the office initially to get to know the team and wider business. The interview process includes an initial screening interview, a take-home technical task, a technical interview and a final management discussion.
Aug 04, 2026
Full time
Junior Software Developer Central London, Old Street Hybrid, 1 to 2 days per week in the office initially Up to £55,000 I am working with an innovative technology company that uses AI, machine learning and modern software engineering to build products that solve real-world transport challenges. They are looking for a Junior Software Developer with around 1 to 2 years of commercial experience to join their growing engineering team. This is an excellent opportunity for someone who enjoys backend development and wants to gain broader commercial experience across Python, Node.js, databases, cloud technologies and production machine learning systems. Rather than being restricted to one area, you will contribute across the full software development lifecycle, giving you the opportunity to broaden your technical skills and accelerate your career. What You Will Be Doing Developing backend services and APIs using Python and Node.js Working with PostgreSQL, SQL and MongoDB Contributing to React-based frontend applications Supporting the training and deployment of commercial machine learning models Working with object detection and computer vision functionality Deploying and maintaining applications using AWS Collaborating with an experienced engineering team to build clean, scalable and maintainable software What They Are Looking For You will ideally have: Around 1 to 2 years of commercial software development experience Commercial experience with Python and/or Node.js Experience working with SQL or NoSQL databases, including PostgreSQL, SQL or MongoDB Practical commercial exposure to machine learning projects Experience contributing to the deployment of an ML solution as part of a team Experience with React, AWS, Django, Flask, FastAPI, REST APIs, Git or CI/CD would also be beneficial. You do not need to be a machine learning specialist. However, you should have practical industry experience working with and deploying machine learning solutions as part of a commercial team, rather than exposure limited to coursework or personal projects. Why Join? Broad engineering role covering backend development, databases, cloud and machine learning Hands-on exposure to commercial AI and computer vision technology Opportunity to work on real products that solve practical transport challenges Modern technology stack Visible contribution within a growing engineering team Genuine scope to learn, take ownership and progress Flexible hybrid working Salary of up to £55,000 The company is based in Central London, close to Old Street. New starters are encouraged to spend 1 to 2 days per week in the office initially to get to know the team and wider business. The interview process includes an initial screening interview, a take-home technical task, a technical interview and a final management discussion.
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.
Aug 04, 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.
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.
Aug 04, 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.
