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Location: Waterbeach, UK Department: Engineering Reports to: Chief Scientist Type: Full-time, Permanent Company Profile Thermoteknix Systems Ltd, founded in 1982 and based in Cambridge, is a world leader in thermal imaging, night vision, and augmented reality systems. Our award-winning technologies are trusted by defence, security, and industrial customers in over 70 countries. With in-house R&D, cutting-edge innovation, and a global reputation for quality, we design and manufacture solutions that perform in the toughest environments. Reporting to the Chief Scientist, you will research, develop and validate AI, machine learning and image processing algorithms for our thermal imaging cores and wider imaging product range. AI will form a substantial part of the role, with responsibility for developing and training models alongside conventional image processing, detector correction and calibration. You will take ideas from scientific investigation and proof of concept through to validated product implementation. Working with software, firmware, FPGA, electronics and optical engineering colleagues, you will balance image quality and model performance with real-time processing, memory, latency and power constraints. Key Responsibilities AI and Machine Learning • Develop and train machine learning and deep learning models for imaging applications, including image enhancement, object detection, classification, segmentation and scene understanding., • Select and evaluate model architectures, training methods and loss functions, comparing results against conventional algorithms and defined product requirements., • Investigate AI methods for noise reduction, image restoration, super-resolution and image fusion, assessing image fidelity and behaviour on unfamiliar scenes., • Review emerging AI research, reproduce promising methods and assess their feasibility for Thermoteknix products. Image Processing and Imaging Science • Develop conventional algorithms for noise reduction, contrast enhancement, dynamic range compression, detail enhancement, registration and stabilisation., • Develop detector correction and calibration methods, including non-uniformity correction, defective pixel compensation, temperature drift compensation and shutterless processing., • Analyse image artefacts and system limitations, investigating the effects of detectors, optics, electronics and processing software, and combining analytical and learned methods where beneficial. Data and Validation • Plan image and video data collection and annotation with engineering colleagues, and maintain representative datasets with clear provenance and version control., • Design reproducible experiments and separate training, validation and test datasets to prevent data leakage; assess generalisation across cameras, environments and operating conditions., • Define image quality and AI performance metrics, including accuracy, false alarms, missed detections, latency and temporal stability, as relevant to the application., • Validate algorithms through laboratory testing and field evaluation, investigate failure cases and ensure enhancement preserves scene content and avoids misleading artefacts. Embedded Implementation and Product Support • Prototype algorithms and models in Python, MATLAB or similar tools, and work with engineering teams to integrate them into real-time product software and processing pipelines., • Optimise models for embedded deployment using appropriate methods such as quantisation, pruning and hardware acceleration, measuring effects on accuracy, image quality and resource use., • Support the investigation of production and customer image quality issues, using data analysis and experiments to recommend and validate improvements. Research and Technical Collaboration • Work with the Chief Scientist to define research priorities, assess technical risks and contribute to product feasibility studies, design reviews and intellectual property development., • Maintain clear algorithm specifications, documented code, model and dataset versions, training configurations and test reports so that results and product releases are traceable. Required Skills & Experience • A degree in Computer Science, Physics, Mathematics, Electronic Engineering or a related discipline, or equivalent relevant experience., • Practical experience developing, training and evaluating machine learning or deep learning models for image or video applications, gained in industry or applied research., • Strong Python skills and practical experience with a deep learning framework such as PyTorch or TensorFlow., • Experience developing conventional image processing algorithms, supported by a sound understanding of imaging fundamentals, noise, sampling, resolution and calibration., • Strong mathematical and analytical skills, including statistics, linear algebra, numerical methods and optimisation., • Experience preparing datasets, designing experiments, selecting evaluation metrics and diagnosing overfitting, data leakage and generalisation problems., • An understanding of the practical constraints of real-time imaging systems and the ability to translate research into implementable algorithms., • A structured approach to testing, version control and technical documentation, with clear communication and effective collaboration across engineering disciplines. Desirable Skills & Experience • An MSc or PhD in machine learning, computer vision, image processing, imaging science or a related field., • Experience with thermal or infrared imaging, uncooled microbolometer detectors, and their correction and calibration requirements., • Experience deploying and profiling neural networks on embedded platforms, including model conversion, quantisation and inference optimisation., • C or C++ development experience, or experience with GPU, FPGA, DSP or other accelerated processing platforms., • Experience with multi-sensor fusion, thermal and visible imagery, low-light imaging, motion estimation or temporal processing., • Experience managing model training and evaluation pipelines and transferring research into commercial products. Personal Attributes You will be curious, methodical and practical, with the persistence to investigate difficult problems and the judgement to assess new techniques critically. You will work independently, explain findings clearly and make evidence-based decisions that support reliable product performance. Applicants must have the right to work in the UK at the time of application. Unfortunately, we are unable to provide visa sponsorship for this role. What We Offer Thermoteknix offers the opportunity to develop AI and image processing technologies within an established, independent British engineering company. Working closely with the Chief Scientist and wider R&D team, you will have considerable technical variety and responsibility, taking ideas from initial research and experimental prototypes through to imaging and augmented reality products used by customers worldwide. #J-18808-Ljbffr

Location: Waterbeach, UK Department: Engineering Reports to: Director of Operations & Technology Type: Full-time, Permanent Company Profile Thermoteknix Systems Ltd, founded in 1982 and based in Cambridge, is a world leader in thermal imaging, night vision, and augmented reality systems. Our award-winning technologies are trusted by defence, security, and industrial customers in over 70 countries. With in-house R&D, cutting-edge innovation, and a global reputation for quality, we design and manufacture solutions that perform in the toughest environments. Role Overview Reporting directly to the Director of Operations & Technology, the Head of Engineering will have responsibility for the leadership, performance and delivery of the Engineering function at Thermoteknix. This senior leadership role leads a multidisciplinary engineering organisation spanning electronics engineering, software engineering, mechanical engineering, production engineering, project and programme management, and innovation. The Head of Engineering will ensure that programmes are delivered effectively, technical standards remain high, resources are deployed appropriately and teams work efficiently across disciplines. Success in the role requires a strong engineering background combined with excellent people leadership, organisational capability and commercial judgement. The Head of Engineering will create an environment that balances innovation and technical excellence with delivery, manufacturability, reliability, cost, quality and schedule. The Head of Engineering will work in close partnership with the Technology & Operations Director to align engineering strategy with wider business and operational priorities. Key Responsibilities Engineering Leadership & People Management • Lead and develop the Engineering function, promoting a high-performing, accountable and collaborative culture based on ownership, urgency, technical excellence and continuous improvement., • Directly manage the managers responsible for Electronics, Software Engineering, Mechanical Engineering, Production Engineering, Project & Programme Management, and Innovation, setting clear objectives and holding them accountable for delivery, quality, resources and team performance., • Develop the engineering management team through coaching, constructive challenge and succession planning, supporting managers in resolving significant technical, people and delivery issues., • Ensure that the engineering departments operate as one integrated function, with clear responsibilities, effective interfaces and strong communication, coordination and ownership across disciplines., • Lead regular engineering management reviews covering programme status, resource requirements, technical risks, departmental priorities and key decisions. Engineering Delivery & Technical Excellence • Take overall responsibility for engineering delivery across multiple concurrent development programmes, working closely with the Project & Programme Manager to ensure that projects are properly planned, resourced and prioritised, risks and bottlenecks are addressed, and agreed timescales are met., • Maintain high standards of engineering design, technical documentation, verification and design review., • Lead new product development from concept through prototyping, qualification and production, incorporating manufacturability, reliability, cost, quality and supply-chain considerations from the outset and working with Production and Operations to ensure effective transfer into manufacture., • Support major customer programmes, tenders and technical discussions where senior engineering input is required., • Drive engineering productivity through simplification, automation and AI-assisted development. Strategic Leadership & Business Alignment • Work in close partnership with the Director of Operations & Technology to align engineering priorities with wider business objectives, review performance, programme delivery, resource capacity, capability and technical risk, and agree appropriate actions on recruitment, investment and material issues., • Collaborate with the senior leadership team, Chief Scientist, and Product Manager to develop technology and engineering roadmaps aligned with business priorities. Required Skills & Experience • A strong engineering or technical background, supported by a degree in Engineering, Physics or a related discipline., • Significant experience leading multidisciplinary engineering teams, including managing engineering managers and senior technical staff., • A proven track record of delivering complex hardware and software products from development into manufacture., • Strong skills in programme delivery, resource allocation and priority management, with the ability to oversee multiple concurrent development programmes., • Good commercial awareness and a clear understanding of how engineering decisions affect cost, schedule, quality and product performance., • Strong leadership, communication and decision-making skills., • The ability to operate effectively at both strategic and detailed technical levels. Applicants must have the right to work in the UK at the time of application. Unfortunately, we are unable to provide visa sponsorship for this role. • Involvement in cutting-edge imaging technologies., • Collaborative working environment with strong technical expertise., • Training and career development opportunities., • Competitive salary and benefits package. #J-18808-Ljbffr

Location: Waterbeach, UK Department: Engineering Reports to: Chief Scientist Type: Full-time, Permanent Company Profile Thermoteknix Systems Ltd, founded in 1982 and based in Cambridge, is a world leader in thermal imaging, night vision, and augmented reality systems. Our award-winning technologies are trusted by defence, security, and industrial customers in over 70 countries. With in-house R&D, cutting-edge innovation, and a global reputation for quality, we design and manufacture solutions that perform in the toughest environments. Reporting to the Chief Scientist, you will research, develop and validate AI, machine learning and image processing algorithms for our thermal imaging cores and wider imaging product range. AI will form a substantial part of the role, with responsibility for developing and training models alongside conventional image processing, detector correction and calibration. You will take ideas from scientific investigation and proof of concept through to validated product implementation. Working with software, firmware, FPGA, electronics and optical engineering colleagues, you will balance image quality and model performance with real-time processing, memory, latency and power constraints. • Develop and train machine learning and deep learning models for imaging applications, including image enhancement, object detection, classification, segmentation and scene understanding., • Select and evaluate model architectures, training methods and loss functions, comparing results against conventional algorithms and defined product requirements., • Investigate AI methods for noise reduction, image restoration, super-resolution and image fusion, assessing image fidelity and behaviour on unfamiliar scenes., • Review emerging AI research, reproduce promising methods and assess their feasibility for Thermoteknix products., • Develop conventional algorithms for noise reduction, contrast enhancement, dynamic range compression, detail enhancement, registration and stabilisation., • Develop detector correction and calibration methods, including non-uniformity correction, defective pixel compensation, temperature drift compensation and shutterless processing., • Analyse image artefacts and system limitations, investigating the effects of detectors, optics, electronics and processing software, and combining analytical and learned methods where beneficial., • Plan image and video data collection and annotation with engineering colleagues, and maintain representative datasets with clear provenance and version control., • Design reproducible experiments and separate training, validation and test datasets to prevent data leakage; assess generalisation across cameras, environments and operating conditions., • Define image quality and AI performance metrics, including accuracy, false alarms, missed detections, latency and temporal stability, as relevant to the application., • Validate algorithms through laboratory testing and field evaluation, investigate failure cases and ensure enhancement preserves scene content and avoids misleading artefacts., • Prototype algorithms and models in Python, MATLAB or similar tools, and work with engineering teams to integrate them into real-time product software and processing pipelines., • Optimise models for embedded deployment using appropriate methods such as quantisation, pruning and hardware acceleration, measuring effects on accuracy, image quality and resource use., • Support the investigation of production and customer image quality issues, using data analysis and experiments to recommend and validate improvements., • Work with the Chief Scientist to define research priorities, assess technical risks and contribute to product feasibility studies, design reviews and intellectual property development., • Maintain clear algorithm specifications, documented code, model and dataset versions, training configurations and test reports so that results and product releases are traceable., • A degree in Computer Science, Physics, Mathematics, Electronic Engineering or a related discipline, or equivalent relevant experience., • Practical experience developing, training and evaluating machine learning or deep learning models for image or video applications, gained in industry or applied research., • Strong Python skills and practical experience with a deep learning framework such as PyTorch or TensorFlow., • Experience developing conventional image processing algorithms, supported by a sound understanding of imaging fundamentals, noise, sampling, resolution and calibration., • Strong mathematical and analytical skills, including statistics, linear algebra, numerical methods and optimisation., • Experience preparing datasets, designing experiments, selecting evaluation metrics and diagnosing overfitting, data leakage and generalisation problems., • An understanding of the practical constraints of real-time imaging systems and the ability to translate research into implementable algorithms., • A structured approach to testing, version control and technical documentation, with clear communication and effective collaboration across engineering disciplines., • An MSc or PhD in machine learning, computer vision, image processing, imaging science or a related field., • Experience with thermal or infrared imaging, uncooled microbolometer detectors, and their correction and calibration requirements., • Experience deploying and profiling neural networks on embedded platforms, including model conversion, quantisation and inference optimisation., • C or C++ development experience, or experience with GPU, FPGA, DSP or other accelerated processing platforms., • Experience with multi-sensor fusion, thermal and visible imagery, low-light imaging, motion estimation or temporal processing., • Experience managing model training and evaluation pipelines and transferring research into commercial products. You will be curious, methodical and practical, with the persistence to investigate difficult problems and the judgement to assess new techniques critically. You will work independently, explain findings clearly and make evidence-based decisions that support reliable product performance. Applicants must have the right to work in the UK at the time of application. Unfortunately, we are unable to provide visa sponsorship for this role. What We Offer Thermoteknix offers the opportunity to develop AI and image processing technologies within an established, independent British engineering company. Working closely with the Chief Scientist and wider R&D team, you will have considerable technical variety and responsibility, taking ideas from initial research and experimental prototypes through to imaging and augmented reality products used by customers worldwide. #J-18808-Ljbffr

Location: Waterbeach, UK Department: Engineering Reports to: Director of Operations & Technology Type: Full-time, Permanent Company Profile Thermoteknix Systems Ltd, founded in 1982 and based in Cambridge, is a world leader in thermal imaging, night vision, and augmented reality systems. Our award-winning technologies are trusted by defence, security, and industrial customers in over 70 countries. With in-house R&D, cutting-edge innovation, and a global reputation for quality, we design and manufacture solutions that perform in the toughest environments. Reporting directly to the Director of Operations & Technology, the Head of Engineering will have responsibility for the leadership, performance and delivery of the Engineering function at Thermoteknix. This senior leadership role leads a multidisciplinary engineering organisation spanning electronics engineering, software engineering, mechanical engineering, production engineering, project and programme management, and innovation. The Head of Engineering will ensure that programmes are delivered effectively, technical standards remain high, resources are deployed appropriately and teams work efficiently across disciplines. Success in the role requires a strong engineering background combined with excellent people leadership, organisational capability and commercial judgement. The Head of Engineering will create an environment that balances innovation and technical excellence with delivery, manufacturability, reliability, cost, quality and schedule. The Head of Engineering will work in close partnership with the Technology & Operations Director to align engineering strategy with wider business and operational priorities. • Lead and develop the Engineering function, promoting a high-performing, accountable and collaborative culture based on ownership, urgency, technical excellence and continuous improvement., • Directly manage the managers responsible for Electronics, Software Engineering, Mechanical Engineering, Production Engineering, Project & Programme Management, and Innovation, setting clear objectives and holding them accountable for delivery, quality, resources and team performance., • Develop the engineering management team through coaching, constructive challenge and succession planning, supporting managers in resolving significant technical, people and delivery issues., • Ensure that the engineering departments operate as one integrated function, with clear responsibilities, effective interfaces and strong communication, coordination and ownership across disciplines., • Lead regular engineering management reviews covering programme status, resource requirements, technical risks, departmental priorities and key decisions., • Take overall responsibility for engineering delivery across multiple concurrent development programmes, working closely with the Project & Programme Manager to ensure that projects are properly planned, resourced and prioritised, risks and bottlenecks are addressed, and agreed timescales are met., • Maintain high standards of engineering design, technical documentation, verification and design review., • Lead new product development from concept through prototyping, qualification and production, incorporating manufacturability, reliability, cost, quality and supply‑chain considerations from the outset and working with Production and Operations to ensure effective transfer into manufacture., • Support major customer programmes, tenders and technical discussions where senior engineering input is required., • Drive engineering productivity through simplification, automation and AI‑assisted development., • Work in close partnership with the Director of Operations & Technology to align engineering priorities with wider business objectives, review performance, programme delivery, resource capacity, capability and technical risk, and agree appropriate actions on recruitment, investment and material issues., • Collaborate with the senior leadership team, Chief Scientist, and Product Manager to develop technology and engineering roadmaps aligned with business priorities., • A strong engineering or technical background, supported by a degree in Engineering, Physics or a related discipline., • Significant experience leading multidisciplinary engineering teams, including managing engineering managers and senior technical staff., • A proven track record of delivering complex hardware and software products from development into manufacture., • Strong skills in programme delivery, resource allocation and priority management, with the ability to oversee multiple concurrent development programmes., • Good commercial awareness and a clear understanding of how engineering decisions affect cost, schedule, quality and product performance., • Strong leadership, communication and decision‑making skills., • The abilit #J-18808-Ljbffr

Location: Waterbeach, UK Department: Engineering Reports to: Director of Operations & Technology Type: Full-time, Permanent Company Profile Thermoteknix Systems Ltd, founded in 1982 and based in Cambridge, is a world leader in thermal imaging, night vision, and augmented reality systems. Our award-winning technologies are trusted by defence, security, and industrial customers in over 70 countries. With in-house R&D, cutting-edge innovation, and a global reputation for quality, we design and manufacture solutions that perform in the toughest environments. Reporting directly to the Director of Operations & Technology, the Head of Engineering will have responsibility for the leadership, performance and delivery of the Engineering function at Thermoteknix. This senior leadership role leads a multidisciplinary engineering organisation spanning electronics engineering, software engineering, mechanical engineering, production engineering, project and programme management, and innovation. The Head of Engineering will ensure that programmes are delivered effectively, technical standards remain high, resources are deployed appropriately and teams work efficiently across disciplines. Success in the role requires a strong engineering background combined with excellent people leadership, organisational capability and commercial judgement. The Head of Engineering will create an environment that balances innovation and technical excellence with delivery, manufacturability, reliability, cost, quality and schedule. The Head of Engineering will work in close partnership with the Technology & Operations Director to align engineering strategy with wider business and operational priorities. Engineering Leadership & People Management • Lead and develop the Engineering function, promoting a high-performing, accountable and collaborative culture based on ownership, urgency, technical excellence and continuous improvement., • Directly manage the managers responsible for Electronics, Software Engineering, Mechanical Engineering, Production Engineering, Project & Programme Management, and Innovation, setting clear objectives and holding them accountable for delivery, quality, resources and team performance., • Develop the engineering management team through coaching, constructive challenge and succession planning, supporting managers in resolving significant technical, people and delivery issues., • Ensure that the engineering departments operate as one integrated function, with clear responsibilities, effective interfaces and strong communication, coordination and ownership across disciplines., • Lead regular engineering management reviews covering programme status, resource requirements, technical risks, departmental priorities and key decisions. Engineering Delivery & Technical Excellence • Take overall responsibility for engineering delivery across multiple concurrent development programmes, working closely with the Project & Programme Manager to ensure that projects are properly planned, resourced and prioritised, risks and bottlenecks are addressed, and agreed timescales are met., • Maintain high standards of engineering design, technical documentation, verification and design review., • Lead new product development from concept through prototyping, qualification and production, incorporating manufacturability, reliability, cost, quality and supply-chain considerations from the outset and working with Production and Operations to ensure effective transfer into manufacture., • Support major customer programmes, tenders and technical discussions where senior engineering input is required., • Drive engineering productivity through simplification, automation and AI-assisted development. Strategic Leadership & Business Alignment • Work in close partnership with the Director of Operations & Technology to align engineering priorities with wider business objectives, review performance, programme delivery, resource capacity, capability and technical risk, and agree appropriate actions on recruitment, investment and material issues., • Collaborate with the senior leadership team, Chief Scientist, and Product Manager to develop technology and engineering roadmaps aligned with business priorities., • A strong engineering or technical background, supported by a degree in Engineering, Physics or a related discipline., • Significant experience leading multidisciplinary engineering teams, including managing engineering managers and senior technical staff., • A proven track record of delivering complex hardware and software products from development into manufacture., • Strong skills in programme delivery, resource allocation and priority management, with the ability to oversee multiple concurrent development programmes., • Good commercial awareness and a clear understanding of how engineering decisions affect cost, schedule, quality and product performance., • Strong leadership, communication and decision-making skills., • The ability to operate effectively at both strategic and detailed technical levels. Applicants must have the right to work in the UK at the time of application. Unfortunately, we are unable to provide visa sponsorship for this role. • Involvement in cutting-edge imaging technologies., • Collaborative working environment with strong technical expertise., • Training and career development opportunities., • Competitive salary and benefits package. #J-18808-Ljbffr

Location: Waterbeach, UK Department: Engineering Reports to: Chief Scientist Type: Full-time, Permanent Company Profile Thermoteknix Systems Ltd, founded in 1982 and based in Cambridge, is a world leader in thermal imaging, night vision, and augmented reality systems. Our award-winning technologies are trusted by defence, security, and industrial customers in over 70 countries. With in-house R&D, cutting-edge innovation, and a global reputation for quality, we design and manufacture solutions that perform in the toughest environments. Reporting to the Chief Scientist, you will research, develop and validate AI, machine learning and image processing algorithms for our thermal imaging cores and wider imaging product range. AI will form a substantial part of the role, with responsibility for developing and training models alongside conventional image processing, detector correction and calibration. You will take ideas from scientific investigation and proof of concept through to validated product implementation. Working with software, firmware, FPGA, electronics and optical engineering colleagues, you will balance image quality and model performance with real-time processing, memory, latency and power constraints. • Develop and train machine learning and deep learning models for imaging applications, including image enhancement, object detection, classification, segmentation and scene understanding., • Select and evaluate model architectures, training methods and loss functions, comparing results against conventional algorithms and defined product requirements., • Investigate AI methods for noise reduction, image restoration, super-resolution and image fusion, assessing image fidelity and behaviour on unfamiliar scenes., • Review emerging AI research, reproduce promising methods and assess their feasibility for Thermoteknix products., • Develop conventional algorithms for noise reduction, contrast enhancement, dynamic range compression, detail enhancement, registration and stabilisation., • Develop detector correction and calibration methods, including non-uniformity correction, defective pixel compensation, temperature drift compensation and shutterless processing., • Analyse image artefacts and system limitations, investigating the effects of detectors, optics, electronics and processing software, and combining analytical and learned methods where beneficial., • Plan image and video data collection and annotation with engineering colleagues, and maintain representative datasets with clear provenance and version control., • Design reproducible experiments and separate training, validation and test datasets to prevent data leakage; assess generalisation across cameras, environments and operating conditions., • Define image quality and AI performance metrics, including accuracy, false alarms, missed detections, latency and temporal stability, as relevant to the application., • Validate algorithms through laboratory testing and field evaluation, investigate failure cases and ensure enhancement preserves scene content and avoids misleading artefacts., • Prototype algorithms and models in Python, MATLAB or similar tools, and work with engineering teams to integrate them into real-time product software and processing pipelines., • Optimise models for embedded deployment using appropriate methods such as quantisation, pruning and hardware acceleration, measuring effects on accuracy, image quality and resource use., • Support the investigation of production and customer image quality issues, using data analysis and experiments to recommend and validate improvements., • Work with the Chief Scientist to define research priorities, assess technical risks and contribute to product feasibility studies, design reviews and intellectual property development., • Maintain clear algorithm specifications, documented code, model and dataset versions, training configurations and test reports so that results and product releases are traceable., • A degree in Computer Science, Physics, Mathematics, Electronic Engineering or a related discipline, or equivalent relevant experience., • Practical experience developing, training and evaluating machine learning or deep learning models for image or video applications, gained in industry or applied research., • Strong Python skills and practical experience with a deep learning framework such as PyTorch or TensorFlow., • Experience developing conventional image processing algorithms, supported by a sound understanding of imaging fundamentals, noise, sampling, resolution and calibration., • Strong mathematical and analytical skills, including statistics, linear algebra, numerical methods and optimisation., • Experience preparing datasets, designing experiments, selecting evaluation metrics and diagnosing overfitting, data leakage and generalisation problems., • An understanding of the practical constraints of real-time imaging systems and the ability to translate research into implementable algorithms., • A structured approach to testing, version control and technical documentation, with clear communication and effective collaboration across engineering disciplines., • An MSc or PhD in machine learning, computer vision, image processing, imaging science or a related field., • Experience with thermal or infrared imaging, uncooled microbolometer detectors, and their correction and calibration requirements., • Experience deploying and profiling neural networks on embedded platforms, including model conversion, quantisation and inference optimisation., • C or C++ development experience, or experience with GPU, FPGA, DSP or other accelerated processing platforms., • Experience with multi-sensor fusion, thermal and visible imagery, low-light imaging, motion estimation or temporal processing., • Experience managing model training and evaluation pipelines and transferring research into commercial products. You will be curious, methodical and practical, with the persistence to investigate difficult problems and the judgement to assess new techniques critically. You will work independently, explain findings clearly and make evidence-based decisions that support reliable product performance. Applicants must have the right to work in the UK at the time of application. Unfortunately, we are unable to provide visa sponsorship for this role. What We Offer Thermoteknix offers the opportunity to develop AI and image processing technologies within an established, independent British engineering company. Working closely with the Chief Scientist and wider R&D team, you will have considerable technical variety and responsibility, taking ideas from initial research and experimental prototypes through to imaging and augmented reality products used by customers worldwide. #J-18808-Ljbffr

Thermoteknix Systems Ltd, founded in 1982 and based in Cambridge, is a world leader in thermal imaging, night vision, and augmented reality systems. Our award‑winning technologies are trusted by defence, security, and industrial customers in over 70 countries. With in‑house R&D, cutting‑edge innovation, and a global reputation for quality, we design and manufacture solutions that perform in the toughest environments. Location: Waterbeach, Cambridge, UK Department: Engineering Reports to: Engineering Manager Type: Full‑time, Permanent You will be joining the FPGA Design Team and contributing modules to a library that is used across our product range. Experience with the cocotb Python library is desirable. You will be required to write timing constraints, understand timing reports, and where necessary, modify designs to close timing. We work with hardware, software and mechanical engineers to bring new products to market. • SystemVerilog, • Python, • RTL verification, • Writing timing constraints and ensuring these are met, • Design for low power, • Writing module specifications and reviewing drafts, • Code and documentation review, • Writing code for a library to a company coding standard, • The Linux command line, • Version control software (SVN or Git), • Markdown Committed to engineering best practices in FPGA code development. Able to work effectively within an established team, following existing frameworks and contributing to the continuous improvement of team capabilities. • Flexible working is considered with work from home up to 3 days per week, • Involvement in cutting‑edge imaging technologies, • Collaborative working environment with strong technical expertise, • Training and career development opportunities, • Competitive salary and benefits package #J-18808-Ljbffr

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Bank working Days/Nights Are you a caring and reliable individual looking for flexible work in a supportive team? Join Birchstone Care Limited as a Bank Care Assistant Days/Nights and make a real difference to the lives of our residents. Job Description Bank Care Assistant Days/Nights – Join Our C

CBW Staffing Solutions is seeking a Mechanical Night Shift Engineer for a 4 on 4 off pattern at a large commercial building near Tottenham Court Road, London.

Previous care experience is welcomed and full training will be provided.

Working Pattern: Full time (including one in five weekends as part of the management out of hours rota) Working Arrangement: 36. Be Celebrated: For all your hard work, ideas and contributions through at our annual Time to Shine event, our cheers for peers’ scheme or through our EPIC Star Awards. F

Benefits for the Role Free uniform and PPE Fully structured support for all Radis staff available with excellent career progression Out of Hours support Full training provided at no additional cost to yourself. At this present time, we are unable to consider Sponsorship for this role.

Excelcare Holdings in Cambridge is seeking a Cleaner/Domestic at Primrose Croft Care Home.You will join a compassionate housekeeping team to keep bedrooms, bathrooms and communal areas clean to a high standard, ensuring the home is safe, comfortable and welcoming for residents.You will perform deep

Radis Community Care is seeking a part-time Time Support Worker for the Melbourne, Royston area. You will join a team focused on dignity, respect and person-centred care, with opportunities for training, progression and full support from Radis.

This full-time, permanent role offers a stable career within a supportive environment.

A full UK manual driving licence is required and sponsorship is not available.

Roles include day and night shifts with flexible hours.