6 of 6 Machine Learning Jobs in Saffron Walden

Responsibilities Design and develop innovative software solutions in collaboration with the engineering team Build tools and methods for data gathering, preprocessing, and optimisation for machine learning and algorithm development Oversee and maintain operational company systems (Linux-based) Contribute across a broad mix of R&D, software, data science … experience in signals, RF, or SDRs Knowledge of version control (Git), containerisation (Docker), or cloud platforms (AWS, Google Cloud) Academic or project experience in ML, data science, or digital signal processing Enthusiasm for working in a startup environment and taking ownership of initiatives What’s on Offer Entry-level role ...

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 ...

across multiple technical domains. This role is ideal for graduates or more experienced engineers with a strong problem-solving mindset and a passion for learning and innovation. Responsibilities - Develop software for both prototype systems and production-ready products, contributing to the full development lifecycle - Work on multiple projects simultaneously … quickly - Proficient in Python programming Desirable: - Experience with software-hardware integration or working with embedded systems - Familiarity with computer networking concepts - Experience using deep-learning frameworks (e.g., TensorFlow, PyTorch) - Understanding of machine learning, statistics, optimisation or algorithm development - Experience developing mobile applications (iOS/Android) Please contact ...

quickly Working knowledge of Python Desirable Skills (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep learning frameworks (e.g. TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android ...

from software-defined radios for our Saffron Walden based client. This hands-on role sits at the intersection of RF hardware, DSP and applied ML in a fast-paced RandD environment. Responsibilities: Analyse and characterise IQ data from SDR platforms Build RF signal analysis and visualisation tools Design RF data … processing pipelines accounting for real-world hardware effects Develop ML and statistical models for RF classification and detection Prototype batch and real-time processing systems in Python and integrate with GNU Radio or C++ backends Support RF data collection and over-the-air testing Requirements: Strong Python skills for data ...

solving and hands-on technical work. Responsibilities - Develop innovative software solutions alongside the engineering team - Build tools for data gathering, preprocessing and optimisation for ML and algorithm development - Maintain and support operational Linux-based systems - Contribute to a broad mix of RandD, software, data science and technical problem-solving tasks … excellent problem-solving ability and attention to detail - Motivated, adaptable and keen to learn across multiple technical areas Desirable - Python experience and familiarity with ML/data science libraries - Interest in signals, RF or SDRs - Knowledge of Git, Docker or cloud platforms - Academic/project experience in ML, data science ...