426 to 450 of 1,142 Machine Learning Jobs in the UK

Civil Service or public sector environments.* Interest in AI safety, AI evaluation methodologies or educational technology.* Experience working closely with data science, AI or machine learning teams.* Exposure to modern AI engineering practices and frontier AI models. Qualifications * Undergraduate degree in a STEM discipline or equivalent commercial experience. ...

Snowflake Define data architecture roadmaps aligned to business and AI strategies Drive data modelling, governance, integration and interoperability standards Architect solutions supporting analytics, machine learning and AI use cases Provide technical leadership across data engineering, analytics and AI delivery teams Establish best practice around security, privacy, compliance, metadata ...

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 ...

databases, graph databases and NoSQL systems; Familiarity with Linux/Unix environments; Experience with collaborative development tools such as Jira and Confluence; Experience with machine learning approaches, ideally in the context of data discovery. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/ ...

services. 2. Fraud Detection and Prevention Real-Time Monitoring : Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics : Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring : AI can evaluate creditworthiness ...

innovation and continuous learning. Communicating complex technical concepts clearly to non-technical stakeholders and project teams. Staying abreast of emerging technologies in data science, machine learning, digital twins and any other innovations relevant to the built environment. ABOUT YOU We value people who can think analytically and creatively ...

current agenda. Desirable Demand and Capacity Planning techniques NHS IT systems, and the Epic EPR system Advanced knowledge of supervised and unsupervised machine learning techniques In depth knowledge of performance returns, definitions, guidance, and performance management in the acute sector Understanding of NHS data flows and information issues ...

Experience with Azure Data Factory, Databricks, Spark, or lakehouse architectures. Exposure to Microsoft 365, Power Platform, or Microsoft Graph API. Understanding of AI/ML workflows and the data requirements that support them. Experience supporting large-scale data migrations or transformation programmes. Background working within architecture, design, engineering, or other ...

that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do * Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake ...

Qlik Strong understanding of data modelling, warehousing and ETL/ELT processes Excellent communication and stakeholder management skills Nice to have: Exposure to AI, ML or data science initiatives Experience in large-scale enterprise or regulated environments Familiarity with Big Data technologies or distributed systems This role is ideal ...

production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across ...

Oracle) and data modelling (canonical data models, JSON). Deep experience with enterprise messaging platforms (Kafka, IBM MQ). Proven experience implementing AI/ML solutions (using Python or other frameworks) to solve business problems. Full‐stack development experience (RESTful APIs, front‐end frameworks such as Angular). Experience with ...

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 ...

clear in their application. Relevant practical experience with data analysis and automation (such as Python/SQL/n8n workflows), including building and evaluating ML/optimisation models or rules-based pipelines.* Relevant working knowledge of applied AI in business workflows, ideally including NLP (for conversational interfaces) and/ ...

environments with strict data governance requirements.Engineering Rigor. Track record of building observable, testable, well-documented systems. Experience with CI/CD for data and ML pipelines, data quality frameworks, and infrastructure-as-code practices.Communication & Influence. Ability to translate between deep technical architecture and business strategy. Comfortable presenting to C-suite ...

Fairygodboss is looking for an Applied AI ML Director specialized in NLP, LLM, and Graph analytics to join their team in the UK. This role will focus on advanced machine learning solutions for various applications including speech analytics and recommendation systems. Ideal candidates should possess … quantitative discipline and have hands-on experience with deep learning methods. Strong communication skills and the ability to work in collaborative environments are essential for success in this position. #J-18808-Ljbffr ...

agent AI architectures and tool invocation frameworks Experience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Connect) Strong understanding of AI/ML life cycle, MLOps, and data governance Experience working with Tier-1 banks or large financial institutions Certifications Google Cloud Professional Data Engineer (Highly Preferred) Google … Professional Cloud Architect Google Machine Learning Engineer Certifications in Conversational AI (Dialogflow CX or equivalent) TOGAF/Enterprise Architecture certifications Data certifications (good to have): CDMP, Databricks, Snowflake ...

most advanced tech markets in Europe: High-growth AI startups and scaleups Established FinTech and data-led businesses Global organisations investing heavily in ML, cloud, and automation Typical roles will sit across: Data Engineering & Python ecosystems Machine Learning & AI Cloud platforms (AWS, Azure, GCP) Expect high demand, strong ...

Requirements Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up. Proven experience building and scaling AI/ML teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks … ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. Comfortable presenting to and influencing executives . Collaborative, adaptable, and able to navigate complex stakeholder environments . To apply: Please reach out via LinkedIn ...

cutting-edge AI technologies, including LLMs and agentic frameworks* Work across a broad range of industries and enterprise-scale projects* Strong focus on learning, innovation, and career progression* Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping … senior business and technical stakeholders* Proven experience delivering AI solutions into production* Strong Python/software engineering background* Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms* Strong understanding of MLOps, CI/CD, observability, and production AI delivery* Experience leading engineering teams and mentoring ...

deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business … development, and leadership teams to identify and prioritise AI opportunities across the organisation Required ExperienceEssential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong ...

Mathematics, Computer Science, Data Science). Proficiency in SQL and working knowledge of Python and/or R. Understanding of statistical and machine learning techniques (e.g. regression, clustering). Strong communication skills with the ability to explain technical concepts to non-technical audiences. Organised, proactive, and able … platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. SQL MS Excel Power BI Python and/or R Behaviours: Collaborative and team player Logical thinker with a professional ...

Anaplan Inc is looking for a Principal Machine Learning Engineer in Greater London. In this role, you will lead … architecture, design, and deployment of scalable AI systems. Your work will empower business users to leverage GenAI within their planning workflows, demanding both deep ML knowledge and software engineering skills. The ideal candidate has extensive experience in AI and ML, with a strong understanding of LLMs and prompt engineering. Anaplan ...