2,376 to 2,400 of 3,531 Machine Learning Jobs in London

integration. Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong ...

WSO2, RADIUS). Background in regulated, security-conscious, or public sector environments. Desirable: TOGAF or AWS Certified Solutions Architect (Professional). AWS SageMaker or ML/analytics tooling. £650.00 - £680.00/day Talent International UK and it's subsidiaries, Digital Gurus, Infinite Talent and Rethink act as an employment agency ...

Work closely with cross-functional teams, including product development, engineering, and client services, to align data initiatives with business goals. Design, implement, and optimize ML and NLP models to enhance our privacy-focused product offerings and improve client experiences. Maintain comprehensive documentation of data processes, models, and analytical methodologies. ...

Posted on 11/02/2026 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Role: Infrastructure Architect with IAM experience Location: Harbour Exchange Square, London Mode: Hybrid ...

React. Experience applying iterative development to deliver high-value outcomes in complex domains. Exposure to data-driven or analytical systems; experience with AI/ML-related features is beneficial but not required. Familiarity with CI/CD, observability, and operating production systems. Understanding of front-office or revenue-generating technology ...

model logic, assumptions, and limitations in language each audience trusts. Essential Strong applied proficiency in Python and/or R, including modern data and ML libraries (e.g. pandas, scikit-learn, statsmodels or equivalents) and time-series/statistical forecasting methods. • A track record of owning an analytical product ...

whom • Ability to operate in ambiguity and define clarity Data & Technical Depth• Experience with data models, pipelines, and analytics systems • Familiarity with AI/ML or data extraction (e.g., NLP) preferred • Comfortable working closely with engineering teams Execution• Bias for action; able to go from idea to shipped product • Strong ...

experience where you have preferably launched Agentic AI related products, with an ability to provide proven examples of this Familiarity with AI/ML or data extraction (e.g., NLP) preferred Understanding of how to set up AI agents Experience of communicating with 3 rd Party suppliers, along with knowing ...

security standards and regulations (e.g. NCSC, ISO, SoC, NIST, PCI, GDPR). - Deep architectural xxperience in one of the following specialisms: AI/ML Security/Cloud/M365/DevSecOps Security Architecture - Experience in application architecture, software development and/or infrastructure architecture. - Clear communication with technical ...

security standards and regulations (e.g. NCSC, ISO, SoC, NIST, PCI, GDPR). - Deep architectural xxperience in one of the following specialisms: AI/ML Security/Cloud/M365/DevSecOps Security Architecture - Experience in application architecture, software development and/or infrastructure architecture. - Clear communication with technical ...

showback/chargeback and accountability across operating companies. Provide architectural guidance to balance cost, performance, scalability and resilience. Define infrastructure architecture for AI/ML workloads, advanced analytics and high-performance computing. Ensure platforms are AI‐ready with scalable compute, data integration, secure access and responsible AI controls. Evaluate emerging ...

operating in complex, regulated environments. Nice to Have Experience with modern cloud data platforms such as Snowflake, BigQuery or Redshift. Exposure to AI/ML products, features or model governance. Experience managing data product SLAs and support models. Understanding of modern data product operating models. Reasonable Adjustments: Respect and equality ...

technical concepts effectively to researchers and non-specialistsAbility to support organisation of webinars and remote and in person training activitiesDesirable:Knowledge of AI/ML infrastructure and workflowsExperience with GPU-enabled systems and scheduling technologies, Kubernetes and containerised environmentsFamiliarity with monitoring, performance analysis, and service management practicesExperience developing operational metrics ...

maintainable systems. Experience with Salesforce (e.g., Core platform, Sales/Service/Marketing Cloud, integrations, or Apex best practices). Experience applying AI/ML in engineering workflows (e.g., coding assistants, test generation, anomaly detection, intelligent routing) or product features. Background in leading distributed teams and large‐scale refactoring ...

feedback and outcomes SKILLS & EXPERIENCE WE’RE LOOKING FOR 7–10 years of experience in Financial Services or Product Management Experience applying AI/ML or data‐driven solutions within financial or investment workflows Ability to translate investment problems into AI‐enabled product opportunities Experience leading rapid prototyping and delivering ...

post-launch performance, monitoring adoption, identifying friction, and partnering with teams to resolve bottlenecks. Data, AI & Technical Fluency Leverage data, analytics, and AI/ML to inform prioritization, decision-making, and performance tracking. Ensure responsible and compliant use of AI in collaboration with risk, legal, and compliance teams. ...

will combine deep expertise across the Snowflake ecosystem-including Snowflake Data Cloud, Cortex AI, Snowpark, Native Apps, Data Sharing, Data Engineering, AI/ML, and Modern Data Platforms-with a strong consulting mindset to help clients modernize data estates, unlock AI-driven insights, and deliver measurable business outcomes. ...

imperfect conditions.Hands-on experience building AI/LLM-powered automation workflows - either in a business or personal contextNice to haveExperience analysing AI/ML-powered product features.Exposure to HR tech, talent acquisition, or workforce data.Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges ...

technically complex products, including web application architecture, APIs, data flows, and experimentation platforms.Familiarity with AI-driven systems, tools, or workflows, including applying AI/ML concepts to products in measurable, safe, and standards-aligned ways.Demonstrated ability to influence senior leaders and peer teams on cross-organizational priorities and trade-offs.PreferredExperience ...

which the other teams depend, working wider CI data teams and IT, as well as cloud providers, to ensure that our AI scientists and ML teams get the best from all available infrastructure. This is a technical leadership role that requires deep technical expertise and relationship building. You will ...

will combine deep expertise across the Snowflake ecosystem—including Snowflake Data Cloud, Cortex AI, Snowpark, Native Apps, Data Sharing, Data Engineering, AI/ML, and Modern Data Platforms—with a strong consulting mindset to help clients modernize data estates, unlock AI-driven insights, and deliver measurable business outcomes. ...

complex products, including web application architecture, APIs, data flows, and experimentation platforms. Familiarity with AI‐driven systems, tools, or workflows, including applying AI/ML concepts to products in measurable, safe, and standards‐aligned ways. Demonstrated ability to influence senior leaders and peer teams on cross‐organizational priorities and trade ...

imperfect conditions. Hands-on experience building AI/LLM-powered automation workflows - either in a business or personal contextNice to haveExperience analysing AI/ML-powered product features. Exposure to HR tech, talent acquisition, or workforce data. Beamery is for Everybody. Diversity and open expression are fundamental to us. ...

will combine deep expertise across the Snowflake ecosystem—including Snowflake Data Cloud, Cortex AI, Snowpark, Native Apps, Data Sharing, Data Engineering, AI/ML, and Modern Data Platforms—with a strong consulting mindset to help clients modernize data estates, unlock AI-driven insights, and deliver measurable business outcomes.As ...

will combine deep expertise across the Snowflake ecosystem—including Snowflake Data Cloud, Cortex AI, Snowpark, Native Apps, Data Sharing, Data Engineering, AI/ML, and Modern Data Platforms—with a strong consulting mindset to help clients modernize data estates, unlock AI-driven insights, and deliver measurable business outcomes. ...