401 to 425 of 1,247 Machine Learning Jobs in the UK

tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + AWS lakehouse architecture , enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable ...

tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + AWS lakehouse architecture , enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust, scalable ...

Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation ...

Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help clients define and manage IT budgets, including cost-benefit analysis and ROI evaluation ...

these processes to link datasets, develop ETL pipelines and identify transactions of potential concern Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis. Has experience of using data visualisation tools such as PowerBI Has experience with general ledger/ ...

Java/J2EE architectural skills Deep data analytic skills or data scientist. Hands on experience on cutting edge applications of Predictive analytics and Machine learning Hands on experience on development of QA Dashboard with Angular JS, Springboot and MongoDB Create data by utilizing test data tools to setup ...

layer transformations in Databricks using Python and SQL. * Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery * Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling. * Contribute to technical documentation and ensure pipelines are maintainable ...

microservices, and backend systems. Solid understanding of software architecture, cloud infrastructure (AWS and/or Azure), and modern DevOps practices. Hands-on experience integrating ML models into production systems (LLMs via APIs, fine-tuning, RAG, embeddings, agents). Ability to move fast without compromising on code quality, testing, and operational ...

engineering practices Experience working in Agile/Scrum environments Exposure to tools such as Airflow/Composer and Azure DevOps Understanding of AI/ML tooling such as Vertex AI Desirable Experience with BI/visualisation tools (e.g. Looker, MicroStrategy) Knowledge of data modelling approaches such as Kimball Familiarity with ...

Stats: You must have an excellent grasp of Linear and Logistic Regression . You understand the assumptions, limitations, and interpretability of these models. Advanced ML: Experience with boosting models is essential for our higher-complexity tasks. Analytics Patterns: A core ability to creatively analyse a raw dataset and spot trends ...

matching that power Socure’s KYC and compliance products. As a Senior Data Scientist I, you will lead the design and deployment of advanced ML and graph algorithms on large-scale PII datasets, own end‐to‐end projects from problem definition through production validation, and serve as a key technical … briefings). What You Bring Master’s degree with 3+ years of relevant industry experience, or Ph.D. with 1+ years of experience in applied ML/data science roles; background in Computer Science, Statistics, Mathematics, or related quantitative fields preferred. Strong proficiency in Python (preferred) or Scala, including experience with ...

specialist AI & Machine Learning team building modern credit risk and decisioning models. The focus is on moving beyond traditional scorecards to advanced ML and AI techniques applied to real-world lending problems. Key Responsibilities Build and enhance credit risk and lending models Apply ML and AI techniques including … predictive modelling, clustering, segmentation, and transformer-based models Modernise legacy models using Python-based ML approaches Collaborate with product and engineering teams to deploy models into production Required Experience Background in banking, fintech lending, credit bureaus, or consulting with lending experience Hands-on experience building credit risk models Strong Python ...

Applied Artificial Intelligence and Machine Learning team in Corporate and Investment Banking is transforming the operations of the world’s largest bank by leveraging the latest advancements in open source artificial intelligence and proprietary frontier models. To facilitate rapid growth, the team is focusing expertise in key "Domains … contributions to open source projects and/or led the development and maintenance of AI systems vital to business operations. As an Applied AI ML Director within the Corporate and Investment Banking Applied AI team, you will lead a team of experts to develop horizontal capabilities through APIs, libraries ...

Senior AI/ML Engineer - Digital Modernisation (Contract) Location: Alderley Park, Cheshire (Hybrid - 2-3 days onsite/2-3 days remote) Duration: May 2026 - May 2027 Rate: Competitive We are delivering Phase 2 of a Progressive Digital Modernisation programme , focused on the design, development, and deployment of scalable …/ML and Generative AI solutions on Azure . This programme centres on modernising applications using cloud-native AI services and enabling enterprise-scale adoption of advanced AI capabilities. We are seeking an experienced Senior AI/ML Engineer to help deliver production-grade AI solutions across this transformation initiative. ...

Consider This Program? UK Skills Gap: A significant proportion of UK data roles remain unfilled due to a shortage of job-ready candidates (STEM Learning). Portfolio-Led Learning: Build up to 5 real-world projects, including use cases such as fraud detection, forex analysis, and sales forecasting. … Training delivered by a UK-based technology firm, aligned with current local industry expectations and standards. Program Overview Data Science Training & Internship - CP This learning-focused internship is designed to help participants strengthen their practical data science skills through structured guidance, hands-on project work, and mentorship. What ...

Architect, DevOps Engineer, or equivalent) Ability to translate business requirements into scalable, secure cloud architectures Strong grasp of data platforms, analytics, and AI/ML-driven solution design Proficiency across modern cloud patterns; serverless, containerised, microservices, CI/CD Deep knowledge of security architecture: identity, access management, encryption, compliance Experience … event-driven architecture, and hybrid connectivity Degree in Computer Science, Software Engineering, or a related field Bonus points for: AWS Specialty certifications (Advanced Networking, Machine Learning, Security) Multi-cloud experience with Azure or Google Cloud Important: All offers are subject to BPSS and SC security clearance, which requires ...

bridge between engineering, product, and commercial. What I’m Looking For 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments. Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments … continuous delivery, and high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. ...

Fraud Operations Director in Fintech, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics … perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities: Lead the development and optimization of fraud detection systems using machine learning and rule-based engines. Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement ...

qualification (or near-completion) in Computer Science, Computing, Software Engineering, Data Science, or a closely related discipline A genuine interest in artificial intelligence, machine learning, and how these technologies are transforming industries Familiarity with at least one programming language (Python preferred) and a willingness to learn quickly Strong … senior leadership team - you will have visibility and influence that is impossible at larger organisations A funded apprenticeship with structured learning and professional development The chance to work across multiple brands and markets, gaining breadth of experience A genuine say in how AI is adopted and implemented across ...

Head of AI Type: Permanent The Opportunity A global professional services organisation is seeking an AI Capability Leader to design and scale its AI learning and community strategy. This senior role focuses on building practical, market-aligned AI capability while supporting enterprise clients and internal go-to-market activity. … Role You will lead the design and evolution of AI learning pathways aligned to current and emerging market needs, working across areas such as GenAI, machine learning, data science, and AI engineering. Partnering closely with commercial and delivery teams, you'll ensure learning programmes ...

Head of AI Type: Permanent The Opportunity A global professional services organisation is seeking an AI Capability Leader to design and scale its AI learning and community strategy. This senior role focuses on building practical, market-aligned AI capability while supporting enterprise clients and internal go-to-market activity. … Role You will lead the design and evolution of AI learning pathways aligned to current and emerging market needs, working across areas such as GenAI, machine learning, data science, and AI engineering. Partnering closely with commercial and delivery teams, you'll ensure learning programmes ...

innovate, grow, and succeed. Join our team and be part of a dynamic, growth-oriented organization that values talent, creativity, and results. Role : ML Engineer Location : London, UK (Hybrid 3 days/week) Contract (InsideIR35) Required Core Skills: - Azure experience - MLE Experience - LLM - GenAI Nice to have skills: - Insurance industry ...

modelling, solving complex, real-world problems across industries. The role • End-to-end data science, from problem framing through to deployment • Applying AI and machine learning alongside OR techniques and optimisation • Building models that drive planning, forecasting, and decision-making • Working closely with data engineering and platform teams ...

problem-solving, communication, and stakeholder engagement skills. Strategic thinker with a focus on security, compliance, and innovation. Familiarity with industry trends such as AI, Machine Learning, and cloud technologies Experience of Managing cloud services (e.g., AWS, Azure, GCP). Experience overseeing integration, and end-to-end tests using ...

patterns/best practices and practical experience applying TDD. clear communication/interpersonal skills are a must for working closely with internal teams.Experience with Machine Learning, CI/CD and IAC using Terraform for management of Azure/AWS would be beneficial. What you'll get in return ...