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Embedded Developer Salary up to £55,000 Hybrid work: 2 days in office We’re working with a leading global manufacturer of premium scientific and chemical processing equipment, serving the pharmaceutical and wider chemistry sectors. With a long-standing reputation for quality and innovation, this organisation designs and produces advanced laboratory instruments used worldwide. As part of their continued growth, they’re seeking an Embedded Software Engineer to join their multidisciplinary engineering team. This role sits at the intersection of hardware innovation and intelligent control systems—where your code directly drives the tools that enable modern scientific discovery. The Role As an Embedded Software Engineer, you’ll be responsible for designing, developing, and testing firmware and embedded systems that power next-generation laboratory automation products. Working closely with mechanical, electronic, and software engineers, you’ll ensure seamless integration between hardware and software across complex, high-precision instruments. This is an exciting opportunity to apply your embedded software expertise in a technically challenging, science-driven environment where you’ll see your work make a tangible impact. Key Responsibilities • Design, develop, and maintain embedded software for laboratory automation systems, • Implement firmware to interface with sensors, actuators, pumps, temperature controllers, and communication peripherals, • Collaborate with cross-functional teams to achieve seamless hardware/software integration, • Conduct debugging, validation, and performance optimisation on target hardware, • Participate in design and code reviews, contributing to continuous improvement initiatives, • Maintain and manage test tools and equipment used for development activities Your skills • Degree in Electronics Engineering, Computer Science, or a related discipline, • 3+ years’ experience in embedded software development for real-time systems, • Strong proficiency in C/C++, • Solid understanding of RTOS, interrupt-driven programming, and low-level hardware interfacing, • Experience with Linux OS and microcontrollers (ideally STM32), • Familiarity with communication protocols such as SPI, I²C, UART, USB, Modbus, Ethernet, • Skilled in using debugging tools such as JTAG, oscilloscopes, and microcontroller debuggers What’s on Offer • 25 days annual leave (plus bank holidays), • Pension scheme, • Private health insurance, • Death-in-service benefit, • Other industry standard perks This is a fantastic opportunity to join a globally respected engineering organisation, contributing to the design and delivery of innovative, world-class scientific products. We look forward to your application! The office is based in Royston - 30 minutes away from Cambridge, with Mon and Thurs in the office.

R&D Engineer / Researcher – Camera Algorithms Location: Cambridge, United Kingdom Work Type: Full-time, On-site Client: A leading global technology company is hiring to expand their imaging research team in Cambridge. About the Role Our client is hiring an experienced R&D Engineer / Researcher in Camera Algorithms to join their imaging research organisation in Cambridge. The team is focused on next-generation camera algorithm development, image quality optimisation, and AI-driven approaches to computational imaging, targeting future consumer products. You will work in a research-driven environment with strong ownership and technical freedom, developing algorithms from concept through implementation, validation, and optimisation. Key Responsibilities • Research, design and implement advanced camera and imaging algorithms, • Develop solutions targeting improvements in image quality, low-light, HDR, tone mapping, denoising, fusion, texture, compression, and rendering, • Build and test end-to-end imaging pipelines, from capture to display, • Implement prototype systems in Python, C or C++, • Conduct objective and subjective IQ evaluation, metric design, and benchmarking, • Optimise algorithms for performance, memory and power, • Prepare technical reports, experiment documentation, and evaluation results, • Collaborate with research, software, hardware and product teams to define technical direction What We’re Looking For Required: • MSc or PhD in Computer Science, Engineering, Imaging or related field, • Industrial experience in camera algorithms, computational photography, computer vision or image processing, • Strong programming skills in Python and/or C/C++, • Experience with image quality metrics, evaluation methods and tuning, • Understanding of end-to-end imaging systems and camera pipelines, • Ability to build and validate algorithms in a practical environment, • Background in AI-based image processing or deep learning, • Experience with HDR, low-light, fusion, super-resolution or compression, • Knowledge of GPU, parallel computing or embedded optimisation, • Publications in CVPR / ICCV / ECCV / SIGGRAPH / IS&T or relevant fields, • Passion for photography, computer vision or imaging research Location & Work Environment • On-site in Cambridge, UK, • Modern research facility with high-end equipment and resources, • Relocation assistance may be considered for strong candidates Quick Summary for Candidates This role is ideal for someone who: • Has hands-on experience developing imaging algorithms, • Wants to work on next-gen computational photography, • Enjoys building algorithms from scratch and validating them

Location: Cambridge (In-Hub) Hours of work: 40 hours per week Length: Full-time / Permanent Salary: £35,000 - £45,000 Are you ready to change the world? Our vision is simple: to improve every positioning solution We are driven by a purpose to set a new standard for positioning technologies. Our advanced technology, which is an integral part of a chip or operating system, is transforming the capabilities of billions of devices used every day around the world, enhancing the efficiency and safety of everyday life. The Opportunity We are seeking a Software Engineer with strong MATLAB experience to join our progressive and collaborative team. In this role, you will contribute to evaluation and analysis activities while developing tools that enhance both our customer and product interface. Working closely with world-leading GNSS specialists, you will have the opportunity to build high-quality software and expand your technical expertise. Ideal candidates will have a background in Engineering or Science, a proactive mindset, and a strong desire to broaden their knowledge - particularly within GNSS technology - while aligning with our company’s Shared Beliefs. The job advert will remain open until Monday 5th January 2026. The shortlisting process and interviews will be held throughout January 2026 Key Responsibilities • Actively contributes to the design, development and testing of analysis software, • Take initiative and responsibility to drive product development, • Learn about GNSS technology, FocalPoint’s core product/s and our customer requirements, • Consider the user experience as well as the technical requirements, • Participate in code reviews processes, • Apply agreed standards and tools to achieve a well-engineered outcome, • Generate ideas for product features and improvements Essential Your Experience • Minimum 1 year of numerical analysis or software development experience within employment or academia, • Strong MATLAB programming skills, • Knowledge gained through a degree or equivalent practical experience in Physics, Computer Science, Mathematics, Engineering, or related fields. Software specific projects would be advantageous Desirable • Familiarity with modern software tools and methods including version control systems and continuous integration systems, • Experience with C++ or object-oriented programming, • Experience delivering production software The Package Your development is equally important as our business grows and we offer opportunities including appraisals, career development plans, training courses, feedback sessions through 1-2-1 meetings, knowledge-sharing and cross-training. Our generous benefits package includes the following; • 8% company contribution pension scheme, • 25 days annual leave + bank holidays, • Office closure at the end of the year, • Additional annual leave based on your length of service, • Enhanced parental leave, • Paid professional memberships and career development through our personalised framework, • Company-wide social events and team lunches on a weekly basis, • Company Options Scheme*, • Up to £5000 Recommend a Friend scheme, • Cycle to Work Scheme, • Vitality Health Core Package private healthcare (inclusive of mental health cover, EAP, dental, hearing and optical cover, and more), • Company options are not offered as part of the package. You may be offered them through your employment. Our Guiding Principle and Values Our guiding principle, Strive for Excellence, sets the expectation of how we operate. It helps to shape our work environment, and how we should navigate everything we do from our day to day behaviours to the way we interact across the organisation. We value high integrity. We demonstrate this through honesty, transparency and ethical behaviours. We value high performance. We demonstrate this through active problem solving, proactively seeking out solutions. We value high collaboration. We demonstrate this through empowering our people and teams, creating an environment that encourages inclusivity and respect. We are an equal opportunities employer. We believe in diversity, equity and inclusion. We believe that diversity fosters innovation and creativity, and we welcome candidates from all backgrounds, regardless of race, ethnicity, gender, sexual orientation, religion, disability, age, or any other characteristic protected by law. We are committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all.

My client is a fast-growing fabless Semiconductor business that develops advanced embedded solutions used in a wide range of consumer and industrial products worldwide. Due to continued expansion, they are looking for an experienced Senior Embedded Software Engineer to join their multi-disciplinary team of embedded, electronics, silicon and control engineers. The company operates at the leading edge of precision engineering and custom silicon development, offering a technical environment where engineers work across the full product lifecycle, from early concept through to high-volume production. You do not need to come from another Semiconductor company, although it would be useful; it’s not essential. You must have good experience in writing embedded C code for drivers, using Python for test systems and ARM Cortex. The Role – Senior Embedded Software Engineer – C/Python You will play a key role in the development of embedded driver firmware for custom silicon devices, as well as supporting verification, bring-up and validation activities. The position offers a mix of hands-on technical work, cross-team collaboration and problem-solving within a highly skilled engineering group. Key Responsibilities - Senior Embedded Software Engineer – C/Python • Develop and maintain embedded firmware drivers for proprietary silicon., • Build and support automated pre-silicon and silicon verification environments for firmware testing., • Contribute to chip bring-up, debugging, regression testing and performance analysis., • Create and run validation test suites to verify electrical performance and functionality., • Work closely with silicon, electronics and control engineers throughout development. Skills, Experience & Qualifications - Senior Embedded Software Engineer – C/Python Essential: • Degree in Computer Science, Electronic Engineering, or related discipline., • Strong experience in real-time embedded firmware development., • Commercial experience in C programming for device drivers / embedded systems., • Commercial Python programming experience., • Experience developing cross-platform embedded code., • Familiar with defect tracking, code reviews and producing clear technical documentation. Desirable (not essential): - Senior Embedded Software Engineer – C/Python • Experience with pytest, build scripts, Jenkins CI/CD and automated test frameworks., • Understanding of ARM Cortex-M architecture., • Familiarity with Linux, Git and scripting languages (Bash, Tcl)., • PCB debug/test experience and general bench test skills., • Exposure to Agile development practices. This is a great opportunity to join a very high-tech company offering excellent training and career development opportunities.

Job Title: Associate Principal - AI Research Scientist Location: Cambridge Salary: Competitive Are you passionate about creating artificial intelligence and machine learning systems for real-world science applications? Does contributing to preventing, modifying, and even curing some of the world's most complex diseases inspire you? Would you like to work on developing an iterative drug discovery and development process while drawing on methods across various fields, from active learning to optimisation and search? What about advancing our understanding of biology, streamlining research and development processes, and leveraging a variety of data modalities? Do you thrive working in a supportive, inclusive environment where creativity, collaboration across disciplines and lifelong learning towards innovative breakthroughs are encouraged? If yes, this opportunity may be for you. Join our interdisciplinary Centre for Artificial Intelligence team working on the frontier of AI research for digital biology. Your work will support the next generation of medicines and vaccines at the intersection of AI, biology, and engineering. Your work will contribute to transforming the drug discovery and development value chain as we know it, uncovering novel biological insights, automating processes, streamlining decisions, and improving the overall pipeline across all therapeutic areas at AstraZeneca. Accountabilities • You will work efficiently in a team to lead and deliver projects optimally, researching, developing and using the novel AI theories, methodologies, and algorithms, with engineering best practices and standard processes for various biology, chemistry and clinical applications., • You will be part and also lead multifunctional projects to conceive, design, develop and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different AI/ML systems, algorithms, methods and tools for new applications to support the discovery, design, and optimisation of medicines with improved biological activity., • You will lead and contribute to addressing challenges and opportunities in the drug discovery and development value chain processes and provide innovative solutions in fields such as deep learning, representation learning, reinforcement learning, meta-learning, active learning approaches applied to de novo molecule design, protein engineering, in-silico discovery, structural biology, computational biology, translational sciences, biomarker discovery, clinical research, clinical trials and many other areas., • You will lead and develop machine learning models designed explicitly for analysing heterogeneous biological data while collaborating with biology researchers to run algorithmically designed wet lab experiments to inform future experimental directions., • You will remain at the forefront of AI/ML research by participating in journal clubs, seminars, mentoring, and personal development initiatives and contributing to publications and academic and industry collaborations. Essential Skills/Experience • A PhD in machine learning, statistics, computer science, mathematics, physics, or a related technical discipline with relevant fundamental research experience in artificial intelligence and machine learning or equivalent practical experience., • Fundamental AI research experience in conjunction with foundational knowledge and a proven track record in conceptualising, designing, and creating entirely new models, methods, approaches, architectures, and algorithms from scratch. This is essential as off-the-shelf methods and state-of-the-art AI/ML techniques often do not work on our scientific problems and datasets., • Deep theoretical understanding, combined with a strong quantitative knowledge of algebra, algorithms, probability, calculus, and statistics, as well as extensive hands-on experimentation analysis, and AI/ML techniques visualisation., • Well-rounded experience designing new AI/ML approaches to deriving insights from proprietary and external datasets to generate testable hypotheses using algorithmic, mathematical, computational, and statistical methods combined with theoretical, empirical or experimental research sciences approaches., • Experience in theoretical, fundamental AI research and practical aspects of AI/ML foundations and model design, such as improving model efficiency, quantisation, conditional computation, reducing bias, or achieving explainability in complex models., • In-depth understanding of applying rigorous scientific methodology to (i) identify and create novel ML techniques and the required data to train models, (ii) develop machine learning model' architectures and training algorithms, (iii) analyse and tune experimental results to inform future experimental directions, and (iv) implement and scale training and inference engineering frameworks and (v) validate hypotheses., • Distinctive experience in exploiting the simplest tricks to the latest research methods to advance AI/ML capabilities while implementing them in an elegant, stable, and scalable way., • Thorough algorithmic development and programming experience in Python or other programming languages and standard machine learning toolkits, especially deep learning (e.g., Pytorch, TensorFlow, etc.)., • Robust ability to communicate and collaborate effectively with diverse individuals and functions, reporting and presenting research findings and developments clearly and efficiently to other scientists, engineers and domain experts from different disciplines., • Fundamental research, extensive research and expert understanding combined with hands-on practical experience and theoretical knowledge of at least two or more of the following research areas - examples include but are not limited to - multi-agent systems, logic, causal inference, Bayesian optimisation, experimental design, deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametric, natural language processing, approximate inference, control theory, meta-learning, category theory, statistical mechanics, information theory, knowledge representation, unsupervised, supervised, semi-supervised learning, computational complexity, search and optimisation, artificial neural networks, multi-scale modelling, transfer learning, mathematical optimisation and simulation, planning and control modelling, time series foundation models, federated learning, game theory, statistical inference, pattern recognition, large language models, probability theory, probabilistic programming, Bayesian statistics, applied mathematics, multimodality, computational linguistics, representation learning foundations of generative modelling computational geometry geometric methods multi-modal deep learning information retrieval related areas. Desirable Skills/Experience • Fluent in Python R Julia other programming languages including scientific packages libraries (e.g. PyTorch TensorFlow Pandas NumPy Matplotlib)., • Experience in machine learning research developing fundamental algorithms frameworks that can be applied to various machine learning problems particularly in biology chemistry clinical applications demonstrated track record solving biological issues relevant drug discovery development., • Research experience demonstrated by journal conference publications prestigious venues (with at least one publication as leading author). Examples include but are not limited NeurIPS ICML ICLR JMLR., • A track record successfully collaborating AI engineering teams deliver complex machine learning models production-ready data analytics products., • Practical ability work cloud computing environments like AWS GCP Azure., • Domain knowledge tools techniques methods software approaches one more areas such protein engineering microbiology structural biology molecular design biochemistry genomics genetics bioinformatics molecular cellular tissue biology., • Evidence open-source projects patents personal portfolios products peer-reviewed publications similar track records. When we put unexpected teams in the same room we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect work at pace challenge perceptions. That's why we work on average a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique ambitious world. AstraZeneca is where curiosity meets courage! We are committed to making a difference by fusing data technology with scientific innovations to achieve breakthroughs that redefine what's possible. Our inclusive environment encourages collaboration across academia biotechs industry leveraging diverse global knowledge for swift impact on disease. With opportunities for lifelong learning exploration this is a place where your passion for science can truly make a difference. SO, WHAT’S NEXT? We welcome your application no later than 12th December 2025 Where can I find out more? Follow AstraZeneca on LinkedIn Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram Ready to make a difference? Apply now to join our team! Date Posted 21-Nov-2025 Closing Date 12-Dec-2025 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

Overview Drive innovation at Microsoft Research Cambridge by joining a world-class team pioneering breakthroughs in robotics and AI infrastructure. Collaborate across disciplines to develop impactful solutions for datacenter automation and next-generation intelligent systems. Work alongside leading experts, leverage state-of-the-art technology, and contribute to projects that shape the future of computing. This is a unique opportunity to accelerate your career, expand your skills, and make a tangible impact at Microsoft and beyond in a dynamic, intellectually stimulating environment where your ideas drive real-world change. Start Date: March 2026 Duration: 12 weeks Location: Cambridge, UK Responsibilities • Lead and collaborate on innovative robotics research projects, designing, prototyping, and validating new algorithms and control strategies., • Work closely with a multidisciplinary team to address both fundamental and applied research challenges., • Plan, design, and execute experiments to test and validate prototypes in simulation and real-world scenarios., • Join a vibrant, mentor-guided research community for a 12-week internship, collaborating with fellow interns and leading researchers., • Gain hands-on experience, present your work, and expand your professional network while making a real impact at Microsoft Research. Qualifications Required/Minimum Qualifications: • PhD degree (or on-track to complete) in Robotics, Mechanical/Electrical Engineering, Computer Science, or a closely related field., • Demonstrated expertise in robotic manipulation, with a focus on gripper/end-effector design for deformable objects of varying geometries., • Hands-on experience in CAD design, mechanical prototyping, and simulation of robotic end-effectors., • Experience programming robots and developing control algorithms for adaptive gripping and compliance., • Ability to thrive in collaborative, multidisciplinary teams. Preferred/Additional Qualifications • Experience with force-torque sensors, tactile arrays, or compliance control in robotic grippers., • Experience with programming languages such as Python for simulation development or integration., • Strong publication record in top robotics venues (e.g., ICRA, RA-L, IROS). This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about ___

Job Title: Multi-Skilled Engineer x2 Location: Fulbourn, CB21 5ET Salary: £43,000 per annum plus annual standby of £3188 (subject to completing probation and going on rota 1 week in 3) plus overtime Job Type: Full time, Permanent Working Hours: Mon-Friday (8am - 5pm) About the Company: S&B Herba Foods Ltd source and import rice and grains (and other raw materials) from across the globe to produce a wide range of ingredients to the specification of UK manufacturers and wholesalers. Our core purpose is to 'Feed the nation and be a place where everyone can reach their full potential'. We have just been awarded the Investors In People standard and are embarking on a new era to attain Silver with our ultimate goal Platinum. In order to do this, we need people that are willing to drive our Goals and Ambitions and continually improve and develop themselves as individuals, with our full support. We are looking to build on our Team of great people by employing individuals that are aligned to our Company Values of; Hungry (driven and ambitious); Can Do attitude (resilient, solution focused); Proactive (forward thinking, strategic) and We Before I (caring for their colleagues/team; collaborative). We have been trading for over 100 years and have a great heritage. Come and join us - it's a great place to work! About the Role: We are recruiting for 2 Multi Skilled Engineers to join a small team at our Fulbourn site. The role is varied in so much as it will involve working with a wide range of rice milling and packing equipment to conduct preventative maintenance, 1st level reactive service and repair work, diagnosing and resolving issues and updating documentation. Responsibilities: To deliver periodic and condition based preventative maintenance for all electro-mechanical equipment. Conduct 1st Level Reactive service and repair work for all equipment, diagnosing issues in a prompt and efficient manner. Fabricate spare parts for equipment utilising lathe, mill and welding activities. Work with the Operations Teams to offer engineering expertise in the design and delivery of improvements in relation to the Continuous Improvement of electro-mechanical equipment, utilising 3rd part support where necessary. To ensure procedure and maintenance records are maintained utilising CMMS system, as required. Liaise with on-site contractors. To maintain relevant professional competence including undertaking training and development as appropriate both on and off site. Qualification & Skills: Minimum Level 3 qualification in Engineering (ideally encompassing Electrical & Mechanical disciplines) Excellent fault finding and problem-solving skills (Mechanical & Electrical) Ability to read electrical and mechanical schematic drawings Demonstrate good fabrication skills Computer literate to encompass all current MS Office Applications Competent to be able to work at height and in confined spaces Familiar with Motion Control, Hydraulic and Pneumatic systems Understanding of PLC programming logic (Desirable) Experience of working with Milling Equipment (Desirable) Benefits: Pension (auto enrolment - Peoples Pension) 20 days holiday + bank holidays, increasing by 1 day each year to a max of 25 days Free on-site car parking Please click the APPLY button and to submit your CV and Cover Letter. Candidates with experience of: Electrical Engineering, Mechanical Engineer, Electrical Engineer, Repairs Engineer, Electrical Technician, Electrician, Mechanical Technician, Electronic Engineer, Engineering Technician, Multi Skilled Engineer, Servicing Engineer, Maintenance Engineer, may also be considered for this role. TPBN1_UKTJ

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