351 to 375 of 849 Machine Learning Jobs in the UK excluding London

Python Solid understanding of SQL and data manipulation Background in Mathematics, Statistics, or Computer Science (MSc or PhD preferred) Experience building or deploying machine learning models Ability to work in a fast-paced, collaborative startup environment Desired Skills and Experience Pricing, Promotions, Forecasting, Research ...

/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and GCP would be added advantage Must have experience in Banking or Insurance domain Must have experience working in Agile methodologies. ...

experience with a focus on production ownership and reliability Understanding of data quality, testing and lineage best practices Desirable skills: MLOps or production machine learning experience Terraform, Ansible or other Infrastructure as Code tools PostgreSQL and modern data platforms Experience within Defence, National Security or regulated environments Familiarity ...

delivering and deploying applications and software to cloud or on-prem environments across National Security projects. The team deliver DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission ...

safety-critical environments. Familiarity with technologies such as: Azure and AWS Docker and Kubernetes Apache Kafka and NiFi Node.js and TypeScript MongoDB AI and Machine Learning technologies Security Requirements Due to the nature of the work, candidates must either hold current UK Security Clearance or be eligible ...

/or Python development Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Storage Power BI development and data modelling Exposure to AI, Machine Learning, or advanced analytics projects Microsoft certifications such as DP-600 or DP-203 Experience working within large-scale transformation or cloud migration ...

some of the UK's most important defence, intelligence and cyber programmes. You'll join teams delivering cutting-edge capabilities across DevSecOps, Artificial Intelligence, Machine Learning, Cyber Security and Geospatial Intelligence, working with modern technologies in complex operational environments. Due to the nature of the work, candidates must ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we're looking for: Experience in general insurance pricing with ...

they move into production. What you will bring to the role: Extensive experience in enterprise or solution architecture, with a strong focus on AI, machine learning, or distributed systems. Proven expertise in Generative AI technologies, including Large Language Models, agentic frameworks, and vector databases. Strong command ...

pipelines using Python and SQL, managing the full data lifecycle from ingestion through to processing and validation. Youll also have hands-on experience applying machine learning and computer vision techniques, such as detection, classification, segmentation, and anomaly detection, to solve complex, real-world challenges. You will work both ...

bring their whole, authentic selves to work every day. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. Our diverse, multi-cultural crew ...

cloud-first data platform. This is a great opportunity to work on high-volume data systems, shaping architecture and enabling real-time analytics and ML use cases. What you’ll be doing: Build and optimise data pipelines & ETL processes Contribute to a cloud migration to AWS (S3, Redshift) Develop lakehouse ...

cloud concepts Experience with cloud platforms (Azure/AWS/GCP) Good problem-solving and communication skills Nice to Have Knowledge of AI and Machine learning. Working experience of Enterprise Content Management platforms. Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK, etc.). Understanding of security best practices ...

Proven experience as a Product Manager in AI, data, or enterprise technology environments. Hands-on exposure to AI MVPs, LLM applications, or applied ML use cases (e.g. RAG, copilots, generative search). Strong technical grounding in vector search, embeddings, APIs, data pipelines, and prompt design. Skilled in navigating complex enterprise ...

safety, reliability, and interpretability are built into everything you deliver. What were looking for Were looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands ...

take ownership of technical decisions Nice to have (but not required): Experience with Python in backend, data, or automation contexts Exposure to AI/ML or large language model-based systems Kubernetes and container orchestration experience Tech environment Languages: Java (primary), other JVM languages welcome; Python a plus Frameworks: Spring ...

reporting solutions Nice to Have Medallion Architecture or Lakehouse experience Azure Data Factory, dbt or Prefect DataSecOps and cloud security experience AI/ML data preparation knowledge Experience leading technical projects or mentoring engineers You'll Thrive Here If You... Enjoy building solutions from the ground up Take ownership ...

ability to work independently across multiple concurrent projects Desirable Experience with MACH architecture applications Omni-channel commerce experience Exposure to customer lifecycle management, CDP, ML, or data lakes Knowledge of search, SEO, web analytics, order management, payments, or fulfilment Familiarity with CMS, DAM, PIM, or inventory management platforms Understanding ...

enhance security policies, standards, and procedures across the organisation.* Manage the information security risk program, maintaining a comprehensive risk register.* Oversee AI/ML security risk management, including the development of policies for generative AI technologies.* Collaborate with Financial Crime and Anti-Fraud teams to mitigate cyber risks related ...

ability to work independently across multiple concurrent pr ojectsDes irableExperience with MACH architecture applic ationsOmni-channel commerce expe rienceExposure to customer lifecycle management, CDP, ML, or data lakesKnowledge of search, SEO, web analytics, order management, payments, or fulf ilmentFamiliarity with CMS, DAM, PIM, or inventory management pla tformsUnderstanding of event ...

enablement, or user-adoption strategies for newly launched enterprise tools. Ability to foster user engagement through training , workshops, and user-friendly documentation. AI/ML Program Exposure: Experience delivery-managing data pipeline readiness, ELT/ETL architectures, and data preparation specifically geared toward AI model integration Technical Fluency: A strong ...

executive audiences Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services Contribute to technical planning, architecture decisions, and incident retrospectives Platform & Product Mindset Apply product thinking ...

science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills … awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible ...