2,751 to 2,775 of 3,514 Machine Learning Jobs in London

will deliver reusable tooling, agentic prototypes, and secure, scalable patterns that speed up delivery across R&D teams. You will work with AI/ML concepts, CI/CD, infrastructure-as-code, and cross-functional engineers to reduce friction and drive production-ready software across domains. #J-18808-Ljbffr ...

scalable solutions that directly impact customer outcomes. Full-Stack Development – Utilize React, TypeScript, Node.js, and Python to develop robust applications and tools. AI/ML Applications – Design, implement, and iterate on AI/ML solutions, including LLM prompting, tuning of voices, and transcribers to optimize use cases. Integration & APIs – Manage ...

leadership, guiding teams from proof of concept to secure, production-grade deployments in highly regulated environments. The ideal candidate will blend deep AI/ML expertise (LLMs, Generative AI, cloud platforms) with strong stakeholder engagement, governance, and risk management to shape technical roadmaps and #J-18808-Ljbffr ...

communicator and stakeholder manager, comfortable influencing senior technical and business leaders without direct authority. Familiarity with AI‐driven tools or workflows, applying AI/ML concepts to improve configuration data quality, incident response, or change management outcomes. Preferred Qualifications Experience operating an enterprise‐scale xMDB/AMDB supporting complex, distributed … xMDB data and analytics to drive decisions related to service health, risk management, change impact, and operational resilience, including leveraging AI/ML‐enabled insights where appropriate. Experience leading xMDB‐related design reviews and making low‐level design decisions for APIs, data models, integrations, and workflows used across multiple domains ...

Finance Tech Design Authority and support Permit to Design/Permit to Build governance processesAssist in identifying and evaluating opportunities to embed AI, ML, and GenAI within Finance processes, supporting appropriate governance frameworksContribute to capability mapping, maturity assessments, and the centralised architecture knowledge repositorySupport continuous improvement of the business architecture … effective engagement up to senior management levelMethodical, detail-oriented, with familiarity with modern enterprise information architecture practicesAI Domain Knowledge: Working understanding of AI/ML, GenAI, and agentic automation and their relevance to Finance use casesAI Personal Productivity: Ability to use AI tools effectively, including prompt engineering and critical evaluation ...

application Contribute to theFinance Tech Design Authorityand supportPermit to Design/Permit to Buildgovernance processes Assist in identifying and evaluating opportunities to embed AI, ML, and GenAI within Finance processes, supporting appropriate governance frameworks Contribute to capability mapping, maturity assessments, and the centralised architecture knowledge repository Support continuous improvement … senior management level Methodical, detail-oriented, with familiarity with modern enterprise information architecture practices AI Domain Knowledge:Working understanding of AI/ML, GenAI, and agentic automation and their relevance to Finance use cases AI Personal Productivity:Ability to use AI tools effectively, including prompt engineering and critical evaluation ...

Trust and Safety, Marketplace Risk, or Decision SystemsStrong understanding of marketplace or platform ecosystemsExperience designing risk decision systems, rule engines, or enforcement logicFamiliarity with ML and AI concepts and their application in risk systemsStrong analytical skills with SQL or BI tools and large-scale data analysisExperience working with Product, Engineering … scaleWork on complex, high-impact problems at the intersection of AI, systems, and real-world riskCore SkillsRisk Strategy | Decision Systems | Fraud Prevention | AI and ML Signals | Rule Engines | Threshold Optimization | Data Analysis | System Design | Cross-functional Execution | Marketplace RiskAt Joybuy, we’re committed to building a diverse and inclusive workplace ...

ability to influence C-suite and VP-level stakeholders on business strategy and operational transformation (not just technology decisions)- Deep understanding of AI/ML capabilities for business operations including knowledge management, research and analysis, decision support, workflow automation, and agentic AI for autonomous task execution- Demonstrated ability to synthesize … complex customer insights into actionable strategic frameworks with broad applicability across industries- Hands-on experience with Amazon Quick, AWS AI/ML services (Bedrock, SageMaker), or comparable enterprise AI platforms in customer-facing delivery contexts- Understanding of enterprise data architectures, governance frameworks, and integration patterns required for AI-powered business ...

risks. This role goes beyond traditional risk oversight, focusing on predictive and forward‐looking risk management, leveraging data analytics, automation, and AI/ML‐driven insights to enhance risk visibility, anticipate emerging threats, and improve control effectiveness. You will provide independent and constructive challenge on the design and effectiveness … will help drive more timely, informed, and resilient risk outcomes. Primary responsibilities: AI-Enabled Risk Insight & Transformation Embed advanced analytics, automation, and AI/ML insights into risk identification, assessment, and monitoring processes Drive the shift from reactive to predictive risk management, enabling early identification of emerging risks and control ...

object storage, parallel filesystems, and key storage concepts (NFS/S3, erasure coding, deduplication, encryption, tiering, backup, versioning). Deep understanding of AI/ML workflows, data pipelines, training/inference patterns, Vector DB, KV Cache and enterprise cluster deployments and ability to collaborate with ISVs on data management … technology design. Ability to translate business outcomes into practical, scalable technical architectures ; willingness to travel 20–30%. Desirable Requirements Knowledge of AI/ML or HPC performance engineering, including benchmarking and scripting (e.g., Python, Bash) on Linux and hands‐on experience with datacenter technologies, including fabrics, cooling, telemetry ...

/object storage, parallel filesystems, and key storage concepts (NFS/S3, erasure coding, deduplication, encryption, tiering, backup, versioning).Deep understanding of AI/ML workflows, data pipelines, training/inference patterns, Vector DB, KV Cache and enterprise cluster deployments and ability to collaborate with ISVs on data management … design.‐generation technology design.Ability to translate business outcomes into practical, scalable technical architectures; willingness to travel 20–30%.Desirable Requirements Knowledge of AI/ML or HPC performance engineering, including benchmarking and scripting (e.g., Python, Bash) on Linux and hands-on experience with datacenter technologies, including fabrics, cooling, telemetry ...

deliver scalable, secure, and cost optimized data platforms. \* Design end to end data platforms leveraging Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and ML/AI workloads. \* Define data ingestion, transformation, governance, and consumption frameworks aligned to enterprise standards. \* Evaluate and recommend architectural improvements, new tools, and emerging technologies. \* Develop ...

controls. \* Ensure solutions meet security, resilience, scalability, observability, and compliance requirements. \* Align implementation with approved design, maintaining traceability and documentation integrity. \* Partner with ML, Quality, and SRE teams to ensure designs are deliverable and production-ready.Skills\* Experience owning architecture artefacts in a governed enterprise. \* Strong understanding of architecture governance processes … stakeholder engagement. \* Ability to translate complex AI/ML designs into clear documentation. \* Knowledge of enterprise architecture principles (security, cloud, data, resilience). \* Familiarity with LLM, RAG, and agentic system architectures and risks. \* Strong stakeholder management and communication skills across technical and non-technical audiences.**Career Stage:**Manager**London Stock ...

Posted on 11/03/2026 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: AWS Architect Location: London, UK Is it Permanent/Contract: Contract/ ...

product, bringing down token usage and working with the latest AI models.What we’re looking for:5+ years’ experience within Applied AI/ML/MLOpsStrong Python and production AI systems experienceExperience with LLMs, Generative AI, prompt engineering or agentic workflowsExposure to AI infrastructure, deployment, evals or optimisationStartup mindset with ...

optimisation, and supply chain network design.Proven hands-on experience with decision intelligence platforms (e.g., Aera, Rulex) or advanced analytical tools that leverage AI/ML for supply chain optimisation, forecasting, and scenario planning.A strong understanding of programme and project management methodologies, with a track record of successfully delivering complex, large … practical solutions that deliver tangible results.Essentials:Deep expertise in logistics operations, including transportation, warehousing, inventory, and network design.Proficiency in decision intelligence platforms (AI/ML) and advanced analytics for supply chain optimisation and forecasting.Strong problem-solving and critical thinking to analyse complex situations and develop innovative solutions.Exceptional client-facing communication ...

advanced statistical analysis methods to predict movement in global financial markets.This requires them to harness massive compute power and use state-of-the-art ML techniques to find innovative solutions, as textbook methods won’t beat the competition.This is a pure research role where you will be able to develop ...

both the designers and operators of our auditing and assessment processes, working with Scarlet's internal team of software developers, product designers, and ML engineers, to develop world-class tooling to support conformity assessment. We’ve proven our capabilities with medical device software and are actively expanding our scope ...

writes custom SQL queries. Who we're looking for PostHog is working on a self-driving product and is training its own Deep ML models. This new AI Research team needs an AI Research Engineer who can work with our large data set, develop models, and ship production‐ready solutions. ...

evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions Strong stakeholder engagement skills, including engagement with senior stakeholders Experience leading and developing architecture teams ...

every area. We care most about customer‐facing architecture expertise, infrastructure credibility, and the ability to bridge customer requirements with platform capabilities. AI/ML infrastructure, GPU platforms, distributed training, inference workloads, or high‐performance computing (HPC) environments. Kubernetes platform engineering, MLOps, or cloud‐native platform operations. Infrastructure automation ...

Posted on 24/03/2026 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 Location: London, UK Contract: FTC for 12 months or contract inside IR35 Rate ...

technical concepts to both executive and technical audiences.Demonstrated experience in driving technical sales engagements and managing complex deal cycles.Preferred QualificationsDirect experience with AI/ML infrastructure architecture and protocols, network fabric and software runtimeExperience in AI application and Agentic development.Experience with Infrastructure as Code (IaC), service orchestrationExpertise in cybersecurity ...

both executive and technical audiences. Demonstrated experience in driving technical sales engagements and managing complex deal cycles. Preferred Qualifications Direct experience with AI/ML infrastructure architecture and protocols, network fabric and software runtime Experience in AI application and Agentic development. Experience with Infrastructure as Code (IaC), service orchestration Expertise ...

technician in the field, not just the happy path. Disciplined engineering practice and version control (Git). Nice to have: Experience deploying AI/ML on robots and diagnosing model or behaviour issues in the field. Familiarity with remote‐diagnostics or fleet‐telemetry platforms. Experience authoring service documentation or work ...