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Senior Applied Machine Learning / Computer Vision Engineer Oxford - hybrid working c£90-130k DoE Equity Were seeking a Senior Applied Machine Learning / Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera perception system. This is an opportunity to build real-world AI systems from first principles, combining research-level work with deployment and impact, with freedom to explore and contribute to publishable work. Founded in 2024 with a recently closed multi £million seed funding round, the business has a high-growth strategy that looks towards a series A in 18 months. Their technology is a real-time, high-resolution passive 3D sensor based on AI and multi-stereoscopy. For both defence and civilian use, the technology focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems. Working closely with the AI Lead and CTO, you will take ownership of turning advanced models into robust, real-world components - from training pipelines through to deployment on edge systems. The Senior ML/CV Engineer role combines hands-on engineering with applied research, with opportunities to contribute to state-of-the-art work suitable for venues such as NeurIPS, ICCV, or CVPR, where appropriate. Responsibilities : Model Development & Training Develop and train models for perception, correspondence, and feature extraction Design experiments to improve performance, robustness, and generalisation Explore novel architectures and approaches where appropriate Data & Training Infrastructure Build and maintain scalable training pipelines Work with real-world and synthetic datasets Design evaluation frameworks and benchmarks Deployment & Optimisation Optimise models for edge and real-time deployment Improve inference speed, memory efficiency, and robustness Integrate models into full perception pipeline Applied Research Contribute to advancing the state-of-the-art in applied vision systems Collaborate on research outputs suitable for top-tier conferences Balance innovation with delivery constraints Requirements : PhD in Machine Learning, AI, Computer Vision, or related field Strong experience with deep learning frameworks (PyTorch / TensorFlow) Strong experience with computer vision models and ML training and evaluation pipelines Strong programming skills (Python, Java, C, CUDA and/or C++) Demonstrated ability to translate theory into working systems Citizenship of a NATO country (required due to project constraints) Highly Desirable: Publications in NeurIPS, CVPR, ICCV, etc. Experience deploying models to edge / embedded systems Experience with multi-view or 3D perception problems We encourage applications from researchers transitioning from academia; alternatively, you may already have significant industry experience.

Senior Applied Machine Learning / Computer Vision Engineer A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible. Oxford - hybrid working c£90-130k DoE + Equity We're seeking a Senior Applied Machine Learning / Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera perception system. This is an opportunity to build real-world AI systems from first principles, combining research-level work with deployment and impact, with freedom to explore and contribute to publishable work. Founded in 2024 with a recently closed multi £million seed funding round, the business has a high-growth strategy that looks towards a series A in 18 months. Their technology is a real-time, high-resolution passive 3D sensor based on AI and multi-stereoscopy. For both defence and civilian use, the technology focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems. Working closely with the AI Lead and CTO, you will take ownership of turning advanced models into robust, real-world components - from training pipelines through to deployment on edge systems. The Senior ML/CV Engineer role combines hands-on engineering with applied research, with opportunities to contribute to state-of-the-art work suitable for venues such as NeurIPS, ICCV, or CVPR, where appropriate. Responsibilities : Model Development & Training Develop and train models for perception, correspondence, and feature extraction Design experiments to improve performance, robustness, and generalisation Explore novel architectures and approaches where appropriate Data & Training Infrastructure Build and maintain scalable training pipelines Work with real-world and synthetic datasets Design evaluation frameworks and benchmarks Deployment & Optimisation Optimise models for edge and real-time deployment Improve inference speed, memory efficiency, and robustness Integrate models into full perception pipeline Applied Research Contribute to advancing the state-of-the-art in applied vision systems Collaborate on research outputs suitable for top-tier conferences Balance innovation with delivery constraints Requirements : xrnqpay PhD in Machine Learning, AI, Computer Vision, or related field Strong experience with deep learning frameworks (PyTorch / TensorFlow) Strong experience with computer vision models and ML training and evaluation pipelines Strong programming skills (Python, Java, C, CUDA and/or C++) Demonstrated ability to translate theory into working systems Citizenship of a NATO country (required due to project constraints) Highly Desirable: Publications in NeurIPS, CVPR, ICCV, etc. Experience deploying models to edge / embedded systems Experience with multi-view or 3D perception problems We encourage applications from researchers transitioning from academia; alternatively, you may already have significant industry experience.

Senior Computer Vision Engineer PhD in CV / AI / Robotics In order to make an application, simply read through the following job description and make sure to attach relevant documents. 3D Vision & Multi-Camera Systems Oxford - hybrid working c£110-150k DoE + Equity Were seeking a Senior Computer Vision Engineer to work on novel perception technology at the intersection of research and deployment. Founded in 2024 with a recently closed multi £million seed funding round, the business has a high-growth strategy that looks towards a series A in 18 months. Their technology is a real-time, high-resolution passive 3D sensor based on AI and multi-stereoscopy. For both defence and civilian use, the technology focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems. Theyre building a fundamentally new approach to multi-stereo perception, combining geometric methods and learning-based techniques into a deployable real-world system. You will work directly with the CTO and AI Lead to design and implement the core geometry and perception pipeline - spanning camera calibration, multi-view correspondence, and 3D scene understanding. The Senior Computer Vision Engineer role is deeply hands-on but also offers the opportunity to contribute to state-of-the-art applied research, with scope for publication at leading venues such as ICCV, CVPR, or NeurIPS, where appropriate. Responsibilities: Geometry & Multi-View Vision • Develop and optimise multi-camera calibration and alignment pipelines, • Design algorithms for multi-view correspondence and reconstruction, • Explore and implement novel approaches at the intersection of geometry and learning, • Contribute to advancing state-of-the-art perception techniques, • Work closely with ML and systems engineers to integrate perception into deployable systems, • Analyse real-world performance and iterate on failure modes, • Translate research ideas into production-quality code, • Maintain high standards of code quality, testing, and reproducibilityRequirements:, • PhD in Computer xrnqpay Vision, AI, Robotics, Machine Learning, or closely related field, • Strong expertise in multi-view geometry and camera calibration, • Strong experience in 3D vision / reconstruction/ SLAM, • Strong programming skills (Python, Java, C, CUDA and/or C++), • Demonstrated ability to translate theory into working systems, • Publications in top-tier venues (ICCV, CVPR, ECCV, NeurIPS, etc.), • Experience with real-world perception systems (robotics, UAVs, automotive, defence)

Senior Computer Vision Engineer PhD in CV / AI / Robotics 3D Vision & Multi-Camera Systems Oxford - hybrid working c£110-150k DoE + Equity Were seeking a Senior Computer Vision Engineer to work on novel perception technology at the intersection of research and deployment. Founded in 2024 with a recently closed multi £million seed funding round, the business has a high-growth strategy that looks towards a series A in 18 months. Their technology is a real-time, high-resolution passive 3D sensor based on AI and multi-stereoscopy. For both defence and civilian use, the technology focuses on real-time 3D for supporting autonomous vehicles (UGV, UAV, USV), robotics and other such systems. Theyre building a fundamentally new approach to multi-stereo perception, combining geometric methods and learning-based techniques into a deployable real-world system. You will work directly with the CTO and AI Lead to design and implement the core geometry and perception pipeline - spanning camera calibration, multi-view correspondence, and 3D scene understanding. The Senior Computer Vision Engineer role is deeply hands-on but also offers the opportunity to contribute to state-of-the-art applied research, with scope for publication at leading venues such as ICCV, CVPR, or NeurIPS, where appropriate. Responsibilities : Geometry & Multi-View Vision Develop and optimise multi-camera calibration and alignment pipelines Design algorithms for multi-view correspondence and reconstruction Improve system-level accuracy and robustness across configurations Applied Research & Innovation Explore and implement novel approaches at the intersection of geometry and learning Contribute to advancing state-of-the-art perception techniques Collaborate on research outputs suitable for top-tier conferences (ICCV, CVPR, NeurIPS) where appropriate System Integration Work closely with ML and systems engineers to integrate perception into deployable systems Analyse real-world performance and iterate on failure modes Ensure algorithms perform robustly outside controlled environments Engineering Execution Translate research ideas into production-quality code Maintain high standards of code quality, testing, and reproducibility Requirements: PhD in Computer Vision, AI, Robotics, Machine Learning, or closely related field Strong expertise in multi-view geometry and camera calibration Strong experience in 3D vision / reconstruction/ SLAM Strong programming skills (Python, Java, C, CUDA and/or C++) Demonstrated ability to translate theory into working systems Citizenship of a NATO country (required due to project constraints) Highly Desirable: Publications in top-tier venues (ICCV, CVPR, ECCV, NeurIPS, etc.) Experience with real-world perception systems (robotics, UAVs, automotive, defence) Experience combining geometric and learned approaches We encourage applications from researchers transitioning from academia; alternatively, you may already have significant industry experience. TPBN1_UKTJ

Our client are a consultancy who provide resources into NATO so for this role current security clearance is required whether that is SC, DV or NATO.

A NATO organization based in London is seeking a Safety, Security & Resilience Analyst. Applications are restricted to nationals of NATO member countries.

Would you like to join the leading international intergovernmental organization?.This is a key technical role within DIANA’s ERP transformation journey, responsible for the development, customization, and integration of Microsoft Dynamics 365 Finance & Operations (F&O).As a Dynamics 365 F&O Develo

The role involves System Administration, technical support for NATO flagships, and maintaining enterprise infrastructure. Candidates must have a NATO SECRET security clearance, higher vocational diploma in IT, and at least 3 years of experience.

SC or NATO Cleared Penetration Testers. This is a 100% remote role available to candidates based in the UK or a NATO country. Knowledge of NATO organization and internal structure.

Would you like to join the leading international intergovernmental organization?.This is a key technical role within DIANA’s ERP transformation journey, responsible for the development, customization, and integration of Microsoft Dynamics 365 Finance & Operations (F&O).As a Dynamics 365 F&O Develo

This remote role is targeted at candidates based in the UK or NATO countries.

This position offers a unique opportunity to serve as a System Administrator within the NATO Communications and Information Agency (NCI Agency), directly supporting the Standing Naval Forces (SNF). Involved in the transfer and activation of deployed CIS installations during the operational handover

NATO DIANA is the Defence Innovation Accelerator for the North Atlantic, a NATO body dedicated to finding and accelerating innovation to provide decisive defence and security effects for the Alliance, while fostering the rapid adoption of new technologies by the Alliance. Security Clearance: NATO SE

The ideal candidate must possess a NATO SECRET security clearance and have a higher vocational diploma in IT, alongside a minimum of 3 years of experience in enterprise infrastructure.

Workstation System Administration • Administration of Mobile Device Manager • PABX Administration • Microsoft Excel advanced skills such as Slicing • IT Service Desk Support Desirable Qualifications and Education: • Knowledge of NATO Logistics Regulations. Prior experience of working in an

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Would you like to join the leading international intergovernmental organization? This position offers a unique opportunity to serve as a System Administrator within the NATO Communications and Information Agency (NCI Agency), directly supporting the Standing Naval Forces (SNF). Responsibilities: Inv

Driving with Uber offers a flexible earning opportunity.It’s a great alternative to full-time driver jobs, part-time driver jobs or other part-time gigs, temp jobs or seasonal employment.Or maybe you’re already using other rideshare apps and want to supplement your income by becoming a driver us

Workstation System Administration • Administration of Mobile Device Manager • PABX Administration • Microsoft Excel advanced skills such as Slicing • IT Service Desk Support Desirable Qualifications and Education: • Knowledge of NATO Logistics Regulations. Prior experience of working in an

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Would you like to join the leading international intergovernmental organization? This position offers a unique opportunity to serve as a System Administrator within the NATO Communications and Information Agency (NCI Agency), directly supporting the Standing Naval Forces (SNF). Responsibilities: Inv

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