301 to 325 of 1,804 Machine Learning Jobs in the UK excluding London

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … client's challenges! It would be great if you also had experience in some of these, but if not well help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: PhD in Computer Science, Machine Learning, or a related field, with 2+ years of relevant industry or post-PhD research experience or Master in related field, with 5+ years … these topics. Knowledge of human-inspired image/video quality metrics. Strong programming skills in Python. An in-depth understanding of the deep learning approaches and working experience with machine learning framework/packages (e.g, PyTorch). Desired: Background knowledge of video compression techniques and standards such ...

Overview We are seeking a highly skilled AI Engineer to design, build, and deploy advanced AI and machine learning solutions. The role involves developing predictive models, implementing deep learning architectures, and integrating AI capabilities into enterprise systems. You’ll work closely with data scientists, engineers, and business … leaders to create intelligent systems that solve complex business problems. Job Description ✔️ Design and implement machine learning and AI algorithms for enterprise applications. ✔️ Build and train deep learning models using TensorFlow or PyTorch. ✔️ Process and analyze large-scale structured and unstructured datasets. ✔️ Apply natural language processing ...

solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable … Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high‐performance analytical environments. Contribute to DevSecOps and cloud ...

solutions. Typical engagements include: Engineering large-scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable … Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high-performance analytical environments. Contribute to DevSecOps and cloud ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions … collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

culture. Ensure best practices in modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading and landing successful Data Science projects ...

Trainer - Gloucestershire - Hybrid - Permanent 37.5 hours per week - SC Clearance Company cultures & job summary Our client is one of the UK's leading technical learning organisations, a powerhouse in digital and tech education with an impressive client base spanning government, defence, and some of the biggest names in industry. … experience with leading AI frameworks such as TensorFlow or PyTorch. Familiarity with cloud platforms including AWS, GCP, or Azure. Experience working alongside AI/ML engineers, data scientists, or other data professionals. Degree in Mathematics, Computer Science, Data Science, or a related field. MSc or PhD in Data Science ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). We have recently been recertified as a 2026 Great Place to Work®. This achievement not only highlights Talan Data … committed to creating an inclusive, innovative, and high-performing workplace where every employee can thrive. We believe in investing in our people through continuous learning and development, fostering a culture of growth and engagement. Join us and be part of a team that values collaboration, creativity, and excellence. ...

career adventure where your ideas matter and your skills drive change. As a Senior Lead Software Engineer, Cloud Platform in the Corporate AI and Machine Learning Data Platforms team, you will design and deliver secure, high-quality technology solutions that support our data and analytics strategy. You will … infrastructure-as-code technologies. Experience implementing multi-cloud architectures and leading end-to-end platform development. Background in designing and developing scalable AI/ML or Data platforms. Experience with automation and workflow orchestration for operational efficiency. Published contributions to open-source or industry-recognized projects. Hands‐on experience building ...

broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to Google's users and customers. In this role, you will design statistical and machine learning … build investigative tools and data pipelines for infrastructure integration. Proven track record of influencing engineering priorities and roadmaps. Responsibilities: Design and build statistical, machine learning, and AI tools, alongside investigative data pipelines, for integration into existing or new reliability infrastructure. Apply data science to improve Google Cloud Platform ...

environments Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems Enable production deployment of ML models and LLMs within governed enterprise environments, aligned with firmwide risk and compliance standards Implement and maintain infrastructure as code and automation to ensure repeatable … cloud infrastructure, platform engineering, or systems engineering roles. 4+ hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services. Understanding of ML platform operations and governance concepts, including ...

keen ability to assess, analyse, and meet client-specific needs. You willplay a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI)solutions for our clients, along with providing key advice around innovation and new techniquesto stakeholders.You will be designing solutions for complex challenges … will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent ...

years of experience in deploying and maintaining machine learning models in a live production environment. Experience in profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU). Experience designing, building, or optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing … serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity with writing performance ...

including applications, APIs, services, and user interfaces using Establish data foundations through reusable data models, metadata standards, and FAIR data productsin Snowflakethat support analytics, machine learning, and AI. Apply AIandagentic development practices to rapidly prototype tools and visualisation capabilities that enhance leadselectionand decision-making in drug discovery campaigns. … integrations. Knowledge of cloud-based data platforms and modern data engineering approaches. Experience developing APIs, workflow orchestration systems, or scientific web applications. Experience applying machine learning, generative AI, or advanced analytics in scientific environments. Familiarity with FAIR data principles and research data governance. Experience working within agile product ...

required Up to £105,000 DoE + package Active SC or DV Clearance required 2-stage virtual interview process Experience required in AI/ML, LLMs, Python, Customer Consultancy We're supporting a fast-growing, high-performing technical consultancy specialising in AI, data and software solutions across Defence and financial … exposure across the AI engineering stack and working on technically challenging, real-world problems. Responsibilities Deliver AI solutions from POCs through to production Apply ML/AI techniques to complex Defence challenges Provide technical expertise across projects and client engagements Develop robust, maintainable software using strong engineering practices Work across ...

RedTech Recruitment is seeking a Machine Learning Research Engineer to research and implement new NLP/LLM approaches for a leading machine-learning software company in Cambridge. This role suits candidates with a Ph.D. in CS, Physics, Maths or related fields and a strong NLP/ML background. You will join a team focused on cutting-edge research, prototyping innovative concepts, and evaluating output quality. The position is hybrid (3 days ...

postgraduate computer science programmes. Supported by major research grants, the School of Computer Science at UNNC is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in manufacturing, transport, healthcare and others. ...

Software Engineer at Digital Scholarship at Oxford (DiSc). About you You will hold a relevant PhD/DPhil or have substantial experience of machine learning in a research or industry environment, and have the ability and willingness to combine machine learning research with sustained engagement … with historical and multilingual source material. You will have a strong understanding of deep learning and natural language processing, with practical experience of training, adapting and deploying large language models. You will also be able to process and transform historical, multilingual or otherwise non-standard textual data ...

complex data transformation and analytics challenges across industries including geothermal, environmental, hydrocarbon, and mineral exploration.The team works in a collaborative environment alongside data engineers, machine learning engineers, and software developers. This role is based in either North Wales or Crawley with a hybrid working arrangement.**Key Responsibilities****Cloud … Information*** Hybrid working available from North Wales or Crawley.* Opportunity to work across both Viridien and client cloud environments.* Collaboration with software, data, and machine learning teams on large-scale data and analytics platforms.**Why work with us?*** Competitive salary commensurate with experience* Highly attractive bonus scheme* Hybrid ...

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...

skills with experience working within multidisciplinary teams. Desirable skills and experience Experience processing/analysing Earth Observation or remote sensing data. Exposure to AI, Machine Learning or GeoAI applied to spatial data. Experience with raster processing, vector tiling or spatial ETL workflows. Experience working with Geographic Foundation Models … GeoFMs), large geospatial AI models or multimodal spatial machine learning would be advantageous. Experience working within consultancy environments and engaging directly with clients. Familiarity with CI/CD pipelines using Jenkins, GitHub Actions or Terraform. Understanding of the Government Digital Service Standard and Technology Code of Practice. Senior ...

output of our rail inspection systems. You will work across the full stack with a strong emphasis on backend data processing, analytics, and machine learning workflows, all hosted on AWS cloud infrastructure. These seats sit close to the ranking and fusion logic itself, so the work … serve data products to internal and external consumers Work with large-scale rail inspection datasets including ultrasonic, electromagnetic, and operational data Implement and deploy machine learning models and statistical analyses in production environments Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and varied career pathways for those driven to achieve exceptional results through collective … effort. Minimum qualifications: Master's degree in computer science, mathematics, applied statistics, machine learning or equivalent practical experience. Experience of TensorFlow or ML frameworks (e.g. JAX or PyTorch). Experience working in industry, working on projects from proof-of-concept through to implementation. Experience with training diffusion models. ...

Lead the design and evolution of the cybersecurity analytics architecture, defining data patterns, modelling approaches and data product frameworks that support reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences at scale. Data Integration, Transformation and Quality: Establish the strategic approach for data integration, transformation … Cyber Analytics team. You will need Strong passion for data engineering, data modelling, data quality and building trusted, scalable data products that enable analytics, machine learning and AI-driven use cases. Proven experience leading the design and delivery of enterprise-scale data products, defining technical strategy, architectural patterns ...