8 of 8 Machine Learning Jobs in Cambridge

problems via Machine Learning techniques? You could be progressing your career at a highly successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning. What's in it for you: Competitive salary … days holiday Complex and interesting work with continual learning opportunities Your role: As a Machine Learning Engineer you'll build the ML capabilities that power the product, typically you'll collaborate with the research team to productionise ideas that are ahead of the published literature, evaluating ...

Machine Learning Engineer (Python TensorFlow SaaS) Cambridge to £90k Do you have experience of solving real-world … problems via Machine Learning techniques? You could be progressing your career at a highly successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning click apply for full job details ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential … principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware–software ...

development experience in languages such as C/C++, Python Ideally, domain experience with embedded systems, application software, IoT/Cloud stacks, AI/ML or cybersecurity – you don’t need all of these! What Next? If you’re a software architect or senior engineer who thrives on shaping robust ...

choice of deployment technology for the backends. Your responsibilities will include Compliance and security of IT systems, installing server hardware, supporting HPC/machine learning workloads behind APIs as well as maintaining internal compute systems. Previous experience of working within an AI orientated company is highly beneficial. Your … highly experienced Linux Infrastructure Engineer/Systems Administrator and have an interest with physics based simulation and are keen to support ML/AI systems, this is a great opportunity to be part of a thriving Company where technology meets sustainability. ...

right treatment approach is well-established but undeliverable at scale. We’re changing that. Our team has deep expertise across clinical, engineering and machine learning, has a track record of healthtech innovation, and is backed by top-tier VCs and multiple unicorn founder angels. If you like Solving ...

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 … 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 ...