MachineLearning Engineer We are working in partnership with a leading technology organisation to recruit an experienced MachineLearning Engineer. The successful candidate will design, train, and optimise high-performance machinelearning models, build and manage datasets for real-world sensing systems, and clearly communicate technical work to stakeholders. Based in North Somerset, you … ll be part of a collaborative and forward-thinking environment that encourages rapid prototyping and experimentation. You’ll work within multidisciplinary teams to develop, validate and deploy machinelearning models to meet challenging customer requirements. Key Responsibilities Develop and train neural network models using frameworks such as PyTorch and TensorFlow Select and adapt model architectures to meet specific … Engineering, Mathematics, or related field Strong development skills in Python and C/C++ Experience with neural network architectures including RNNs, transformers, and vector quantisation In-depth knowledge of machinelearning architectures and training algorithms Experience in model training, quantisation, and conversion for inference Hands-on experience with data preparation, augmentation, and feature extraction Excellent communication and technical More ❯
Job Title : Lead Data & MachineLearning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management Solutions to minimise energy cost & increase higher returns from energy assets click apply for full job details More ❯
software solutions. Creating applications in Python and C++ for prototype systems and research programmes. Designing and implementing intuitive graphical interfaces to support real-time data processing and visualisation. Incorporating machine-learning models, including PyTorch, into applications for testing and evaluation. Developing software for Linux-based platforms such as Ubuntu, Raspbian or Yocto. Working closely with hardware, electronics and … embedded specialists to integrate software into physical demonstrators. Supporting customer demonstrations, trial environments and evaluation activities. Requirements for the role: Strong coding skills in Python and C++ Familiarity with machine-learning frameworks (PyTorch or similar) Experience building GUIs (e.g. PyQt, Tkinter) and/or full-stack interfaces Understanding of real-time data handling, multithreaded systems and performance-driven More ❯
solving methods and approaches Effective communication skills in both writing reports and giving presentations Knowledge and application of the key digital technologies such as data science or AI/ML Signal processing (such as audio, image, video processing) and information processing (raw data or structured data) Effective algorithm design and implementations, and importance of verification and validation An understanding of More ❯
scale with end-users, driving the development of robust, wearable neurotechnologies. This role offers an excellent opportunity for a researcher with expertise in neural signal processing and AI/machinelearning for the analysis, classification, and decoding of high-resolution electroencephalography (EEG). Working with Prof Coyle and the Turing AI Fellowship team at the Bath Institute for … timeframe. This role is ideal for a researcher keen to make an immediate contribution and strengthen their profile in AI for neurotechnology through impactful short-term work. - AI/ML research, particularly deep learning using platforms such as Keras, PyTorch, or TensorFlow - Developing and testing novel or customised AI models for complex, noisy, real-world datasets - Software optimisation for … allowance with an additional five discretionary days so that you can enjoy a positive work-life balance - A wide range of personal and professional development opportunities, including Apprenticeships, LinkedIn Learning, and more - Free entry to the Holburne Museum in Bath - Local discounts and more - A family-friendly workplace - An excellent rewards package that recognises the talents of our diverse More ❯
development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machinelearning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with More ❯
integrating AI models, and working closely with hardware teams to deliver complete solutions. About You Key Skills & Experience Strong proficiency in Python and C++ Experience with PyTorch or similar machinelearning frameworks Skilled in GUI development (e.g., PyQt, Tkinter) and webUI frameworks Knowledge of real-time data processing and multithreaded applications Comfortable working in Linux (Ubuntu, Raspbian, Yocto More ❯
all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machinelearning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯
Skills Strong experience in data architecture and solution design Proficiency in Azure, Databricks, Power BI, SAP BTP, Salesforce Knowledge of data governance, modelling, and metadata management Familiarity with AI, ML, and data mesh concepts More ❯