251 to 275 of 1,707 Machine Learning Jobs in the UK excluding London

already out there. Responsibilities Own the technical direction of assigned CODAS research tracks, from framing the problem to validating the results. Design and build ML approaches for privacy-preserving generative AI, including differential privacy, federated learning, secure inference, and related techniques. Turn research into proof-of-concept systems … deliverables. Publish, contributing to papers, technical reports, and conference talks that put Oxfida's work in front of the wider AI community. Mentor other ML scientists and research associates working alongside you on the programme. Work directly with partner organisations to understand real technical constraints, not just theoretical ones. Knowledge ...

Research Associate to join the NEOPATH research group in the School of Clinical Dentistry, University of Sheffield. You will develop and validate deep learning methods that combine routine histology with radiology, multiplex imaging, spatial transcriptomics and clinical data to predict how oral and head and neck cancers behave … someone with a PhD in a computational or quantitative field, or someone from a pathology or biomedical background who has built substantial programming and machine learning skills. A background in histopathology, radiology, omics and bio-informatics is a clear advantage, because much of the work sits where pathology ...

following: Hands-on development: Prototype, design and test AI and machine-learning solutions for engineering applications. Software implementation: Build maintainable and scalable ML systems and AI solutions Data Pipeline Management: Manage data pipelines and ensuring data quality.. Deployment and support: Support solution integration, cloud deployment, maintenance and transition … development process Right to work in the UK now and in the future 1-5 years' experience Programming Languages: Python, Java Experience with LLM, machine learning, deep learning, NLP, and computer vision Strong background in software engineering principles, including deployment and maintenance of AI systems Cloud Computing ...

holder will be a research-active software engineer in the Sheriff Group, designing and building reusable software infrastructure that connects mechanistic models, AI/ML models, biological datasets and scalable compute into robust Digital Twin research systems. The role is not conventional IT support. The post holder will work alongside … research scientists to translate new modelling and AI/ML methods into high-quality, tested and reusable research software, including model/data interfaces, AI model training and inference pipelines, workflow execution, simulation and optimisation pipelines, model serving, provenance, APIs and reproducible deployment. The software will support heterogeneous modelling frameworks ...

design, development, and tuning of machine learning and deep learning models. Contribute to scalable and reusable data pipelines using modern ML workflows. Conduct experiments and benchmarking exercises to test model performance. Perform error analysis, feature importance, and other model diagnostics. Track and log training/testing outcomes … Computer Science Data Science Mathematics Software Engineering Or a related STEM field Core Skills & Competencies Technical Skills Programming proficiency in Python and common ML libraries such as: TensorFlow, PyTorch, or similar Experience with Jupyter Notebooks and version control (Git/GitHub) Basic understanding of supervised/unsupervised learning, neural ...

Technology Ltd is seeking an experienced embedded firmware/systems engineer with expertise in machine learning … machine vision. The role involves working directly with customers to translate requirements into deliverable embedded solutions, using Python, C and C++ with ML frameworks, and developing production-ready code. You will define software architecture, system requirements and use cases, collaborating with the wider team and reporting to the Head ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

Senior/Principal ML Systems Architect (TensorFlow + Python) Overview We are seeking a highly experienced ML Systems Architect to design and implement a scalable, production-grade architecture for our machine learning solver. This role bridges research prototypes and commercial deployment, ensuring reliability, maintainability, and performance … mixed technology stack. Responsibilities Architect the ML Solver Platform : Define modular architecture for data preprocessing, model execution, and post-processing. Establish clear API contracts between Python/TensorFlow and C# services. Convert research code into robust, testable, and observable services. Implement CI/CD pipelines, automated testing, and reproducibility standards. ...

flows, connectors and agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production … about you... Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field. Previous experience in AI, data science, ML engineering or advanced analytics. hands-on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI-based ...

operational complexity on a scale that makes machine learning and artificial intelligence increasingly attractive tools. This role will explore, prototype, and evaluate ML/AI techniques to support efficient, reliable observatory operations in areas such as observation scheduling, telescope and data quality monitoring, anomaly and RFI detection … collaborative and inclusive work practices. They will work closely with scientists, engineers and software developers to turn operational needs into well-defined, testable ML/AI solutions. To facilitate this we are seeking a researcher with either a PhD in radio astronomy and practical experience with ML/AI tools ...

complex, high-performance engineering systems. You will join a specialist image processing team, working on cutting-edge technologies that combine imaging, computer vision, machine learning and signal processing. Your work will help shape technical solutions, influence design decisions and turn innovative research into practical engineering applications. What … will be doing Researching, developing and evaluating image processing and computer vision algorithms. Applying AI and deep learning techniques to complex technical challenges. Developing solutions for image segmentation, object detection, tracking and classification. Exploring techniques such as optical flow, pose estimation, particle filtering and computational imaging. Working with MATLAB ...

mentoring and developing a multidisciplinary team of software, platform and DevOps engineers. Defining technical architecture and engineering standards across cloud-native applications, AI/ML platforms and supporting infrastructure. Overseeing the design, development and deployment of production-grade solutions into customer environments. Providing technical leadership across DevOps, CI/… including architecture, infrastructure automation and production operations. Software Engineering: Python, APIs, modern development frameworks, Git, automated testing and software delivery best practices. AI/ML/MLOps: Experience supporting or delivering machine learning platforms, model deployment, ML pipelines or production AI applications. Architecture: Designing scalable, secure and reliable ...

activities at the intersection of AI, simulation, and mechanical engineering. Develop AI-enabled engineering simulation capabilities. Support Digital Twin development and deployment. Apply machine learning techniques to improve simulation accuracy and efficiency. Bridge research and production deployment of advanced modelling solutions. Collaborate with engineering, systems, and software teams … technical programmes. Required Skills: Mechanical engineering, simulation, or computational modelling background. Experience with FEA, CFD, and/or multiphysics simulation. Experience applying AI/ML techniques to engineering and simulation problems. Experience working with engineering simulation platforms such as: ANSYS Abaqus COMSOL Experience designing and executing research programmes and validation ...

GenAI and agentic AI We're looking for: Advanced Python, including NumPy, Pandas and Scikit-learn, with hands-on experience building, training and deploying ML models Strong practical knowledge of GenAI, including prompt engineering, LLM optimisation, multimodal AI and agentic AI systems Experience using machine learning, statistical modelling … Java Experience with Spark, Databricks or similar distributed data platforms, and exposure to MLOps Experience of AWS, Azure or GCP AI/ML services, ideally with vendor certifications An MSc or PhD in Data Science, AI, Computer Science, Maths or a related field, or NVIDIA Deep Learning Institute certifications ...

databases and user-facing applications. • Maintain reliable, scalable software architecture and integrate machinery, embedded controllers and applications. • Develop tools to collect, process and present machine and sensor data. • Maintain clear documentation, version control and sound development practices. Cloud Infrastructure & DevOps • Take hands-on ownership of cloud infrastructure, particularly AWS. … reliable infrastructure for future commercial deployment. Engineering Data, Simulation & Computational Modelling • Develop simulation, optimisation, computational modelling and Digital Twin tools for autonomous machinery. • Model machine performance, operating sequences, capacity and efficiency. • Analyse machine, sensor and operational data and test engineering concepts before physical implementation. • Work with robotics ...

many more - giving our team exposure to real-world, high-impact projects. About the Role We’re looking for a Senior Data Scientist/ML Engineer to join a UK-based client in the healthcare and pharmacy domain. The role combines forecasting and machine learning with … optimize scheduling and resource allocation. The goal is to build a scalable, data-driven platform that improves operational efficiency. Responsibilities: Design, train, and deploy ML models for time-series forecasting and related data tasks Build and maintain data pipelines using cloud-native tools (AWS, GCP, or Azure) Develop and optimize ...

Raffles, Singapore | Posted on 04/06/2026 Experience working with ML platforms such as CML, SparkMLlib, and Python ML libraries (scikit‐learn, XGBoost), including modeldeployment. Design and develop highly scalable, Real time systemsusing Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive,Ranger, Kafka, Flink and Nifi) Build robust … full‐stack applications and internalengineering tools using Python, shell scripting, and modern web frameworks(e.g., Flask, React). Collaborate closely with data scientists tooperationalize machine learning models using Cloudera Machine Learning(CML). Perform performance tuning and optimization of dataapplications on Hadoop to ensure optimal resource ...

development practices. Nice to have Experience working with time-series, geospatial, sensor or other complex datasets. Exposure to machine learning or deploying ML models into production. Familiarity with frontend technologies such as React and TypeScript. Experience with infrastructure as code, such as Terraform or CloudFormation. AWS certifications would … join an innovative technology team. This is an opportunity to work on complex, data-driven products that combine software engineering, cloud technologies and machine learning. You'll be involved in designing and building applications, APIs and data pipelines that help transform large volumes of complex data into meaningful, actionable ...

range of skills and perspectives.A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will … e.g. AWS) Experience managing or developing in Linux environments Understanding of CI/CD principles Experience maintaining machine learning applications Experience deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot) Experience managing ML accelerator hardware (e.g. DCGM) Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu ...

join an innovative technology team. This is an opportunity to work on complex, data-driven products that combine software engineering, cloud technologies and machine learning. You'll be involved in designing and building applications, APIs and data pipelines that help transform large volumes of complex data into meaningful, actionable … Agile development practices. Desirable Skills Experience working with time-series, geospatial, sensor or other complex datasets. Exposure to machine learning or deploying ML models into production. Familiarity with frontend technologies such as React and TypeScript. Experience with infrastructure as code, such as Terraform or CloudFormation. AWS certifications would ...

with expertise in computer vision and AI image analysis. You will be expected to wrangle EHR data, and run frequentist and Bayesian statistical models, machine learning and deep learning models incorporating multimodal data. The strength, and challenge, of the data is the >25 years of longitudinal follow … available in a public repository e.g. github Writing and presenting reports and presentations to stakeholders Excellent skills and demonstrable experience of AI and machine learning software development for data and image analysis, as well as use of current packages and languages e.g., Python and relevant libraries. Demonstrable experience ...

Reviewing technical literature and summarising relevant methods and evidence Designing controlled experiments and defining clear evaluation criteria Preparing data and developing proof-of-concept machine learning models Analysing results, limitations, uncertainty and potential sources of bias Documenting methods and communicating findings through reports, demonstrations and reviews Working with … experienced researchers and engineers on live research challenges Training The programme is delivered through a virtual learning model, combining: Live virtual lecturers Online learning resources Self-directed learning activities After the apprenticeship you will role off into the business as an AI Researcher. Apprenticeship Standard Machine ...

will own the data and model layers of our client projects: designing and building the pipelines that feed AI systems, developing and deploying ML and LLM‐powered solutions, and standing up the RAG pipelines and agentic AI systems. Your role will include planning, tool use, and human‐in‐the‐loop … proof‐of‐concept builds for new client engagements, including AI readiness and data assessments Experience 3‐5 years of professional experience across AI/ML engineering and/or data engineering in a commercial or consultancy setting Strong, demonstrable proficiency in Python for data and ML work Advanced ...

Neptune North is seeking a Senior Machine Learning Engineer … deliver machine learning applications for defence and to provide technical oversight to a growing team in Newcastle upon Tyne. You will lead ML projects across unstructured data, time series and deployment, mentor engineers, and help shape winning bids while collaborating with clients. A strong maths/statistics background ...

delivery — this is your chance to shape the intelligence behind the future of work. Join RoleMapper and lead the evolution of our AI and ML capabilities that make workforce decisions fairer, smarter, and more transparent. About RoleMapper In a world where organisations are facing significant skills challenges, increasing compliance requirements … phase of growth and position RoleMapper at the forefront of AI in work design. Responsibilities Translating product vision into a feasible, scalable AI and ML roadmap that delivers measurable business value and aligns with commercial goals. Designing and scaling RoleMapper’s AI and Machine Learning models, combining leadership ...