14 of 14 Machine Learning Jobs in Reading

to help take cutting-edge approaches and turn them into performant and robust solutions for our customers' problems. Your responsibilities include: Creating AI/ML solutions for signal processing, geospatial data modelling, image processing and high-fidelity simulations of physical systems. Collaborating with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software Engineers). Maintaining a good working knowledge of state-of-the-art ML methods, software tools, and implementation methods. Working closely with platform-engineers to provide ideas and advice on ML techniques. Evaluating scientific concepts for viability of implementation. Ensuring scientific … delivery process. Writing maintainable production-code and promoting best practices for code quality. Attending client meetings as required. Delivering training to customers on core ML concepts and Mind Foundry products and solutions. Attending appropriate scientific conferences and events. Mentoring colleagues in research or Machine Learning/Data Science. More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting-edge cloud projects for prestigious clients? This organization has experienced continual strong growth since its founding. This exciting role involves designing, building, and delivering complex new solutions within … development and progression with support Performance Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will work with the latest technology on highly visible, large … scale projects. What you'll bring to the role Strong grounding in ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such More ❯

Head of Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your team … Establish the Data Science Centre of Excellence (CoE) to standardise methodologies and foster collaboration across business units. Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas like predictive maintenance, leakage detection, and customer analytics. Team Leadership & Hub … learning, and analytics, with a proven track record of technical leadership, strategic influence, and business impact. Essential Technical Skills & Qualifications Advanced Analytics & ML Deployment - Expertise in Python, R, or similar, with strong proficiency in cloud-based AI/ML services (Azure ML, Databricks, etc.). Big Data & Cloud More ❯

role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to More ❯

role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to More ❯

unify healthcare applications and workflows into a scalable, interoperable ecosystem. By leveraging a centralized FHIR-inspired data repository, harmonized integration pipelines, and AI/ML-ready infrastructure, CHP enables seamless cross-product collaboration, reduces resource footprints, and supports customer growth. Unlike traditional systems, CHP eliminates redundancy and delivers exponential value More ❯

proven track record of managing cross-functional research projects, ideally involving collaboration with both internal and external partners. In-depth expertise in AI and machine learning approaches, with awareness of current developments and future trends. A relevant academic background e.g. typically a degree in Computer Science, Mathematics, AI … a plus). Ability to clearly articulate complex technical concepts to a variety of audiences, including non-specialists. Solid understanding of how to adapt ML techniques to specific industry challenges and business-driven problems. Strong programming and prototyping skills, especially useful when building demonstrators or PoCs to validate research outputs. … through to delivery. Ideally, experience applying AI in a commercial or customer-focused environment. Hands-on knowledge in areas such as signal processing, reinforcement learning, neural network training, or multi-agent systems. Familiarity with research publishing processes and participation in academic or industry conferences. Responsibilities Leading research initiatives that More ❯

earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

the potential for extension. This is your chance to work remotely with a collaborative team, contribute to real-world applications, and get exposure to machine learning feature development. What You'll Be Doing: Designing and building robust windows desktop applications using Python and PyQt Applying your deep understanding More ❯

the potential for extension. This is your chance to work remotely with a collaborative team, contribute to real-world applications, and get exposure to machine learning feature development. What You'll Be Doing: Designing and building robust windows desktop applications using Python and PyQt Applying your deep understanding More ❯

Knowledge of TM Forum standards, Open APIs, and ITIL frameworks. Define architecture patterns for automation, zero-touch provisioning, closed-loop assurance, and AI/ML-driven operations. Ensure compliance with TM Forum frameworks (eTOM, SID, Open APIs) and industry standards and evaluate and integrate COTS OSS solutions and custom platforms More ❯

Knowledge of TM Forum standards, Open APIs, and ITIL frameworks. Define architecture patterns for automation, zero-touch provisioning, closed-loop assurance, and AI/ML-driven operations. Ensure compliance with TM Forum frameworks (eTOM, SID, Open APIs) and industry standards and evaluate and integrate COTS OSS solutions and custom platforms More ❯

image and video applications. - Strong track record of optimizing neural network architectures specifically for NPUs or other hardware accelerators. - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Excellent analytical, communication, and collaborative skills. Preferred Qualifications: - Industry experience delivering real-world generative AI … solutions. - Knowledge of hardware-aware model optimization techniques. - Experience with large-scale distributed training and deployment. - Experience with AML/ADO pipelines. - Knowledge of ML model optimization techniques. - Demonstrated ability to publish impactful research in leading AI/ML conferences such as CVPR, ICCV, NeurIPS, ICML, or similar. Microsoft is More ❯

who are looking for a Data Architect to join their team. You will either be looking to solidify your skill set and thrive in learning more technologies or you may be experienced and looking to grow your career in a company that really values your experience. This isn't … connect, communicate, and bring clarity to complex problems. There's a solid base of architectural work here, but also space to explore AI/ML, strategy, or wherever your interests lead. The team's big on mentoring, sharing knowledge, and backing each other up when things get busy. Culturally, this More ❯