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Computer Vision Engineer - Near Cambridge My Client is a specialist technology company scaling a real-time AI platform and is seeking a Computer Vision Engineers to own model deployment and optimisation in production environments. Hands-on role focused on real-time computer vision, optimising models and video pipelines under performance and latency constraints. Close collaboration with systems engineers. Essential Skills & Experience • Strong Python experience for ML and inference workflows, • Hands-on experience with PyTorch, • Solid grounding in computer vision fundamentals (object detection, tracking, classification), • Experience deploying models into production environments, • Practical experience with video processing frameworks (e.g. GStreamer, FFmpeg), • Experience optimising inference performance on GPU or edge platforms Desirable Experience, • Edge AI or embedded GPU platforms, • Real-time or multi-stream video pipelines, • TensorRT, ONNX, or similar optimisation toolchains, • Linux-based development environments, • Containerised ML or inference deployments, • Experience balancing model accuracy vs. inference speed in constrained environments Profile Sought, • Engineer who remains hands-on with models and code, • Comfortable working outside of pure research environments, • Pragmatic problem-solver who understands production trade-offs, • Enjoys debugging complex, real-world systems, • Clear communicator who documents work effectively Interested? Please Click Apply Now! Computer Vision Engineer - Near Cambridge

UK wide leading player in the Air Conditioning and Refrigeration sector have, as a result of continued success and a huge increase in new customer wins, an extra opportunity for the solid appointment of an Air Conditioning Engineer to join their fantastic business. With an enviable reputation in their field, we Iideally seek a professional, suitably qualified and experienced Engineer to work on interesting and varied sites predominantly in the Cambridgeshire area. With a minimum NVQ1 or 2, candidates must have F-Gas certification. You will predominantly work on air conditioning, splits, VRV's VRF's but if you have added experience in refrigeration, i.e cold rooms / cold stores, blast chillers this would be a bonus, but not essential.. Working 8am-5pm with a one hour lunch break, this 40hr contracted role offers overtime at time and a half. Being leaders in their field, this is a genuinly stable role that offers ongoing training and progression from a company who truly value and invest in their people. Should you have the experience in either pure air conditioning service, maintenance and repair OR this with added refrigeration experience, then please send a copy of your updated CV in confidence for immediate interview consideration. Know anyone who would be a great fit for this role?... If so, please forward them this ad! Good Luck...

Project Manager South of Cambridge | Hybrid (3 days onsite) £50,000 to £60,000 DOE I’m working with a specialist engineering business just south of Cambridge that designs, builds and deploys advanced electronic systems used in demanding, real-world environments worldwide. This is not a pure “process PM” role. It’s suited to someone with a genuine electronics background who understands how hardware is developed, tested, integrated and delivered. Their products combine PCB design, embedded systems, RF, power, networking and sensor integration into robust, field-deployed platforms. The projects are technically detailed and require someone who can speak the language of engineers. The Role You’ll take ownership of customer projects from order through to delivery, acting as the technical and commercial lead throughout the lifecycle. You will: • Lead delivery of complex electronic hardware and system integration projects, • Work closely with electronics, embedded software and mechanical engineering teams, • Interface directly with technically competent customers, • Oversee system integration, validation and production readiness, • Manage risk, budgets, documentation and delivery schedules, • Support engineering change and configuration control processes This role would suit someone who has either moved from an electronics engineering background into project delivery, or an existing Technical PM who has remained close to hardware and systems engineering. What We’re Looking For • Degree in Electronics Engineering or closely related discipline, • Experience delivering electronic hardware, embedded systems or integrated platforms, • Strong understanding of the electronics development lifecycle from concept through to production, • Comfortable discussing PCB design, system architecture, integration and test, • Proven experience managing technical risk and cross-functional engineering teams, • Structured, organised and confident with documentation and reporting Experience in defence, surveillance, RF systems, sensor technology or other complex electronic environments would be beneficial. If you come from an electronics background and want to stay close to the engineering while taking ownership of full project delivery, this could be a strong fit.

Applications are invited for a Postdoctoral Research Associate position in the Department of Pure Mathematics and Mathematical Statistics, University of Cambridge.

Computer Vision Engineer - Near Cambridge My Client is a specialist technology company scaling a real-time AI platform and is seeking a Computer Vision Engineers to own model deployment and optimisation in production environments. Hands-on role focused on real-time computer vision, optimising models and video pipelines under performance and latency constraints. Close collaboration with systems engineers. Essential Skills & Experience Strong Python experience for ML and inference workflows Hands-on experience with PyTorch Solid grounding in computer vision fundamentals (object detection, tracking, classification) Experience deploying models into production environments Practical experience with video processing frameworks (e.g. GStreamer, FFmpeg) Experience optimising inference performance on GPU or edge platforms Desirable Experience Edge AI or embedded GPU platforms Real-time or multi-stream video pipelines TensorRT, ONNX, or similar optimisation toolchains Linux-based development environments Containerised ML or inference deployments Experience balancing model accuracy vs. inference speed in constrained environments Profile Sought Engineer who remains hands-on with models and code Comfortable working outside of pure research environments Pragmatic problem-solver who understands production trade-offs Enjoys debugging complex, real-world systems Clear communicator who documents work effectively Interested? Please Click Apply Now! Computer Vision Engineer - Near Cambridge