951 to 975 of 2,566 Machine Learning Jobs in London

complex business requirements into robust, scalable architectures on Google Cloud, operating at the intersection of technical depth and stakeholder collaboration. Working across AI and ML workloads, data platform design, and cloud migrations, you will act as a trusted technical voice for clients and a key partner to delivery teams. … client needs Define and design infrastructure strategies using IaC, containerisation, and CI/CD for repeatable, production-grade deployments Design and architect AI/ML and Agentic AI solutions using Google Cloud services such as Vertex AI, Model Garden, and Gemini Develop Agentic AI systems and intelligent automation workflows Design ...

software factories" to autonomous software development at enterprise scaleYou develop AI-powered delivery pipelines that translate development processes, engineering standards, and architectural guidelines into machine-executable workflowsYou establish trusted AI engineering environments by designing governance mechanisms with multi-layered validation, clear identity boundaries, and end-to-end traceabilityYou implement … security mechanisms such as automated testing and evaluation pipelines, architecture compliance checks, and red-teaming approaches for AI-generated systemsYou translate enterprise knowledge into machine-readable structures such as architecture decisions, domain models, APIs, and business rules to enable autonomous developmentYou turn business intent into scalable architectures, embed ...

Scientist to drive the development and deployment of models that enhance how customers search for financial products. You will collaborate across Backend, Product, ML Scientists and Data Scientists to deliver proactive, data-informed solutions that improve user outcomes. You will own end-to-end ML initiatives, balancing speed … robustness, and you’ll translate business problems into scalable ML solutions that integrate with our data-driven product #J-18808-Ljbffr ...

experience with large language models (LLMs) - such as training, fine-tuning, evaluation, or safety research. A demonstratedtrack recordof peer-reviewed publications in top-tier ML conferences or journals. Ability and experience writing clean, documented research code for machine learning experiments, including experience with ML frameworks likePyTorchor evaluation frameworks ...

running regular tabletop/purple-team exercises and postmortem improvements. A major focus is driving AI security and internal AI governance: integrating LLMs/ML into SOC triage and anomaly detection, defending AI attack surfaces (agent activity, prompt injection, machine identities), hardening against AI-driven threats (phishing-resistant … similar — used to remove toil, and a track record of expanding coverage without proportional headcount growth. A working understanding of AI and machine learning security: how these systems fail, how they're attacked, and how attackers use them. Demonstrated success working with customers on security reviews, audits, escalations ...

Strong understanding of software engineering fundamentals, system design and performance optimisation. Experience building products and platforms from concept through to production. Exposure to AI, Machine Learning or LLM‐powered applications is highly desirable. A passion for modern engineering practices, continuous learning and solving complex technical problems. Benefits ...

move and manage money worldwide. It enables international transfers, spending abroad, and international payments for people and businesses. Задачи Own the evolution of ML experimentation tooling and label quality, initially for Fincrime teams and later for other Servicing squads; Co‐own stakeholder management, roadmap, delivery, and onboarding; Conduct presentations, demos … teams; Implement software engineering practices including testing, CI/CD, monitoring, alerting, and disaster recovery; Develop MLOps capabilities with Terraform and AWS infrastructure; Support ML governance for hundreds of models; Build data engineering solutions for distributed processing at terabyte scale; Prove the value of new methodologies and algorithms across cross ...

Strong understanding of software engineering fundamentals, system design and performance optimisation.* Experience building products and platforms from concept through to production.* Exposure to AI, Machine Learning or LLM-powered applications is highly desirable.* A passion for modern engineering practices, continuous learning and solving complex technical problems.**What ...

clearly to senior leadership, engineering teams, and non-technical stakeholders. Requirements: Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi … time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever ...

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 ...

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead …/CD tools and processesTech Enthusiasm: Strong passion for technology and a drive to continuously learnTeam Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiastsBonus Points If You Have: Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environmentContainerisation ...

Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead … tools and processes Tech Enthusiasm: Strong passion for technology and a drive to continuously learn Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts Bonus Points If You Have: Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale ...

Understanding of data architecture concepts, including data warehousing and data lakes. Exposure to cloud computing environments such as Microsoft Azure. Exposure to predictive analytics, machine learning, AI-enabled analytics or advanced statistical methods. Experience working with customer, commercial, subscription, product usage or behavioural datasets. Behaviors and Mindset: Demonstrates … reliable. Works collaboratively across Customer Insights, Product, Commercial, Technology and Data teams to build a more joined-up view of the customer. Shares learning openly, seeks input from others and helps translate business questions into clear analytical approaches. Acts with agility by adapting to changing priorities, working through ambiguity ...

customer lifetime value through network intelligence, and ensure safe model launches through robust observability. Key Responsibilities Contribute to the research and development of new ML models and estimators to boost core Acceptance Rate performance. Design and implement experiments to produce actionable insights, focusing on managing time‐based data leakage … ensuring robust model evaluation. Collaborate with other Data Scientists and engineers to productionise ML features, models, and evolve our evaluation and monitoring frameworks. Write high‐quality, interpretable Python code for feature engineering and model training, contributing directly to our core products. Communicate hypotheses, evaluation results, and monitoring dashboards clearly ...

protect customer lifetime value through network intelligence, and ensure safe model launches through robust observability. Key ResponsibilitiesContribute to the research and development of new ML models and estimators to boost core Acceptance Rate performance. Design and implement experiments to produce actionable insights, focusing on managing time-based data leakage … ensuring robust model evaluation. Collaborate with other Data Scientists and engineers to productionise ML features, models and evolve our evaluation and monitoring frameworks. Write high-quality, interpretable Python code for feature engineering and model training, contributing directly to our core products. Communicate hypotheses, evaluation results, and monitoring dashboards clearly ...

defence capabilities. This is a hands-on role suited to someone who understands modern security engineering and has a strong interest in AI/ML technologies, LLMs, automation, and risk management. What you'll be responsible forDesign and implement security controls for AI and machine learning solutions, including … security domains such as identity and access management, cloud security, application security, data protection, logging and monitoring, and incident response. Knowledge of AI/ML and LLM concepts, including model deployment patterns, APIs, embeddings, vector stores, prompt handling, and common AI security risks. Experience securing cloud environments and modern development ...

days holiday pro rata per annum, plus flexible bank holidays, buy/sell holidays, bonus scheme, company funded PMI, EAP, discount scheme & opportunities for learning & development (including financially supported part-time study) The opportunity to work for an organization that has a clear sense of purpose, is values-driven … Risk Poll Global Safety Evidence Centre Work with programme teams to: Shape research questions Interpret findings Apply evidence in practice Support monitoring, evaluation, and learning (MEL) through effective use of data and insight Work collaboratively with internal teams, research partners, and advisory groups Present insight to senior leadership, Board ...

based solutions into production. Using various LLM models with latest approaches (agentic, context engineering) to solve challenging problems Work end-to-end on ML solutions: from data preparation and evaluation, deployment, and monitoring Develop text representation and semantic extraction pipelines for structured knowledge from unstructured data Collaborate with product teams … Knowledge of monitoring and observability tools (e.g. Prometheus, Grafana, Elastic stack). Experience with Infrastructure as Code (Terraform). Experience with Azure Experience with Machine Learning Experience in building product for the construction industry. Additional InformationOur Hiring Process 25-minute screening call Take-home challenge: A hands ...

Opportunity The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Senior AI Engineer … Financial & Legal Domain Knowledge : Familiarity with leveraged finance, debt capital markets, credit agreements, covenant packages, bond documentation, restructuring processes, and related legal concepts. Production ML Engineering : Ability to build and operate extraction pipelines, evaluation systems, model-serving infrastructure, and monitoring for production AI workflows. Strong proficiency in Python for production ...

platform solutions (data movement, storage, visualisation and analytics) available in top public cloud providers, such as AWS, GCP or Azure. Advanced analytics, predictive modelling, machine learning, cognitive tools and artificial intelligence. Structured and unstructured data management systems and models, including relational, columnar store, Hadoop and NoSQL platforms. Modern … data and analytics teams. A well-articulated sense of purpose and vision for your life and career. A commitment to a lifetime of learning and growth. An undergraduate degree from an accredited college/university. Total Rewards associated with this position include a comprehensive benefits package designed to support ...

creation. The technology department is focused on delivering software solutions that enable rich consumer experiences, from mobile and web applications to advanced analytics and machine learning, to content and engagement management service enablement platforms. Inherent throughout our tech capabilities is deep expertise in the Software Development Life Cycle … best practices and get things done. KEY RESPONSIBILITIESDefine the schema, taxonomy, and graph modeling for the knowledge domains. Design how documents, versions, and their machine-readable representations are structured, and how facts evolve over time (including temporal replay).Build ingestion/ETL pipelines from enterprise content sources (e.g., SharePoint ...

leading-edge technologiesFoster a team culture of diversity, opportunity, inclusion, and respectRequired Qualifications, Capabilities, and Skills: Proficiency in Engineering & Architecture, AI/ML, with hands-on experience designing, implementing, testing, and ensuring operational stability of large-scale enterprise data platformsAdvanced skills in one or more programming languages such as Java …/PySpark and other big data processing technologiesDemonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobileKnowledge of the financial services industry and their IT systemsJ.P. Morgan is a global leader in financial services, providing strategic advice ...

simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. … professional development and support individuals with setting goals and development plans You are passionate about helping others achieve their goals You excel at learning and push yourself to develop your skills You are an excellent communicator, able to deliver information at all levels (technical and non-technical) and influence ...

applications built on large language models, including agents, retrieval augmented generation, orchestration frameworks, model optimization, and evaluation frameworksHands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling … models, retrieval augmented generation, orchestration frameworks, and agentic workflowsEstablish engineering excellence through architecture reviews, code reviews, automated testing, observability, security standards, operational excellence, and machine learning operations practicesOwn budget planning and cost management, including headcount, cloud infrastructure, model consumption, tooling investments, vendor relationships, and build-versus-buy decisionsPartner ...

applications built on large language models, including agents, retrieval augmented generation, orchestration frameworks, model optimization, and evaluation frameworks Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval … retrieval augmented generation, orchestration frameworks, and agentic workflows Establish engineering excellence through architecture reviews, code reviews, automated testing, observability, security standards, operational excellence, and machine learning operations practices Own budget planning and cost management, including headcount, cloud infrastructure, model consumption, tooling investments, vendor relationships, and build-versus ...