51 to 75 of 3,581 AI Jobs in London

potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment. As a Principal Software Engineer - Applied AI ML Director at JPMorganChase within the Accelerator Business, you are the heart of this venture, focused on getting smart ideas into the hands … platform design principles and best practices Guide colleagues on coding practices, design principles, and implementation patterns for high-quality, maintainable solutions Deploy scalable AI services to cloud infrastructure, ensuring monitoring, and observability for agent performance. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics ...

building technical tools, including creating solutions by writing code. Experience working with systems (e.g., Linux, Unix, Windows). Experience using machine learning and building AI solutions Experience with Robotics Engineering. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience in an analytical role such … data engineering. Experience with data analysis and problem-solving About the job In this role, you will support the adoption of Google's Generative AI technologies with highly strategic partners across the EMEA and APAC regions. You will be pivotal in providing expert technical guidance and fostering innovation as partners ...

Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense … research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize ...

Senior ML Research Engineer - Sustainable Finance Location: London Business Area: Engineering and CTO Ref #: 10052491 Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions … research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize ...

Description## At Zendesk, we’re revolutionising what’s possible in Customer Experience (CX) and Employee Services (ES). Our rapid innovation and Agentic AI leadership have earned the trust of thousands of forward-thinking businesses.## We are seeking a Senior Sales Engineer (SE) to act as the primary technical partner … enterprise and commercial accounts. This role is built for technical consultants and builders who love mapping complex business challenges to modern, AI-powered software solutions. Sitting at the intersection of technical discovery, solution design and hands-on system configuration, you will be responsible for proving the value of Zendesk ...

regression, etc.) Financial services or consulting background preferred Strong analytical and problem-solving capabilities Excellent stakeholder management and communication skills Knowledge of machine learning, AI, or data governance frameworks Familiarity with Agile methodologies Degree in a quantitative discipline such as Mathematics, Statistics, or Computer Science Location: London, Northampton or Glasgow ...

conducting state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research We are focused on research and development, with a particular … experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company’s leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute to our proprietary AI model research & development. Thomson Reuters Labs ...

enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights. DTS Platform & Tools – Service Enablement: We serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering, infrastructure, service management, and application teams … Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components Additional Preferred Qualifications: Experience ...

solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace ...

Senior Data Adviser - Lawtech/AI & Data Our client, a leading UK law firm is seeking a Senior Data Adviser to join its innovative Lawtech function. This is a newly created role and the first dedicated data specialist within the team, offering a unique opportunity to shape data strategy, influence … AI adoption, and drive transformation across the business. You will work at the forefront of data, AI and legal technology, helping deliver smarter, more efficient legal services and building scalable, data-driven solutions. Key Responsibilities: Data & Innovation: - Identify opportunities to improve legal service delivery through data, AI and automation - Analyse ...

DESCRIPTION The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software … support JPMC businesses as they grow. As a Principal Software Engineer at the company within CDAO Technology Group in the Applied Innovation (of AI) Engineering team, you will design, develop, deploy, and maintain advanced AI products. You\'ll collaborate with software engineers, data engineers, and data scientists to deliver trusted ...

finance leadership to align regional operations with global standards. The role pairs deep regional process and systems knowledge with hands-on technology capability - spanning AI, low-code/no-code development, and scripting - to evaluate processes, deliver solutions, and modernize finance operations across the region. Unlike a single-function role … this position spans financial systems broadly, owning how EMEA operations map to the firm’s global platforms.The Manager acts as the AI and technology champion for the region, identifying high-impact opportunities to apply emerging technology and building solutions directly - from generative AI workflows and Power Platform applications to scripted ...

health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences — from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI … make knowledge more discoverable, connected, and actionable across disciplines. The Search & AI Evaluation team sits within the Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier's global products. About the role We are looking for a Senior Data Scientist ...

successful candidate will play a central role in transforming how research products are designed, delivered, and consumed by clients with dynamic, interactive, and AI‐enabled user experiences. You will collaborate closely with business, research, product, and engineering teams to design and deliver innovative solutions that enhance client experience, scalability … Partner with research, product, and business stakeholders to shape innovative, client‐centric solutions Integrate advanced capabilities such as: Data Visualization and Data Analytics Generative AI/Generative UI features Provide technical leadership and guidance to global engineering teams, ensuring high standards of design, performance, and maintainability Drive engineering best practices ...

Introduction to the Team Join Expedia Group’s Growth Marketing Technology team to help shape the future of marketing through data-driven innovation and AI-powered solutions. As a Product Manager III, you’ll play a pivotal role in developing scalable marketing technologies that enhance automation, measurement, and personalization across … global marketing campaigns on platforms such as Google, Meta and Apple. In This Role, You Will Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. Translate complex ...

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures … more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. ...

operates at a high bar of technical excellence, takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We'll trust you to: Build and maintain highly scalable, resilient … client needs into engineering‐ready requirements and scalable technical solutions. Partner with Engineering on platform evolution, architecture, tooling, system design, and reliability. Apply automation, AI, machine learning, or statistical techniques to improve ingestion, enrichment, validation, and monitoring. Own data migrations, workflow redesigns, and technical transformation initiatives. Establish standard methodologies ...

operates at a high bar of technical excellence, takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We’ll Trust You to: Build and maintain highly scalable, resilient … client needs into engineering‐ready requirements and scalable technical solutions. Partner with Engineering on platform evolution, architecture, tooling, system design, and reliability. Apply automation, AI, machine learning, or statistical techniques to improve ingestion, enrichment, validation, and monitoring. Own data migrations, workflow redesigns, and technical transformation initiatives. Establish standard methodologies ...

transformation initiatives aimed at improving team efficiency, control robustness, data quality, and workflow effectiveness Develop and maintain analytical tools and automation solutions using Python, AI/LLM-enabled techniques where relevant, and other data tooling to streamline reporting, monitoring, and analysis processes and support more efficient decision-making Leverage platforms … workflow improvement initiatives in a risk, analytics, or control environment, with the ability to translate business needs into practical solutions Experience designing or implementing AI/LLM-enabled solutions to support analytics, automation, or workflow enhancement is advantageous Familiarity with regulatory expectations, audit processes, and governance requirements relevant to counterparty ...

audiences; influence product roadmaps, prioritization, and resourcing via data‐driven analysis, scenario studies, and clear articulation of trade‐offs. Lead development of ML/AI solutions end‐to‐end (feature engineering, model training/validation, MLOps, monitoring and drift management) with rigorous controls, documented governance, and demonstrable business value. Uphold … Experience with market risk, time‐series/stress analytics, model risk governance, and regulatory expectations for pricing/risk models. Hands‐on ML/AI for quant finance (signal extraction, surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics, and transaction ...

related projects, benefiting our firm & our clients. You will design, build, and operate scalable platforms to deliver for the business. You will lean into AI‐driven development to comprehend existing codebases, generate and assess production‐quality code, and accelerate the software development lifecycle. We are agile, global and diverse. …/CD pipelines, automated build/test/deploy workflows. Ability to rapidly navigate, understand, and debug large and unfamiliar codebases – with and without AI assistance. Ability to analyse non‐trivial interdependencies between systems and possess excellent problem‐solving and analytical skills. Good communication and collaboration skills across technical ...

Digital Workplace technologies – supporting the organisational goals to modernise, reduce technology legacy debt, reduce technology and cyber risk, efficient and cost-effective adoption of AI, rationalisation of applications and infrastructure. Identify opportunities and implement strategies for efficiency enhancement, functionalities and service quality improvement, whilst adopting technology advancements* Establish and lead …/7 production environment* Proven experience implementing secure collaboration tools and end user computing, driving high adoption rates and transforming workplace technology through automation, AI within heavily regulated environments* Extensive experience leading large scale digital transformation initiatives, workplace migrations and endpoint transformations in enterprise settings* Proven experience of creation extensive ...

through rigorous code reviews, automated testing, and adherence to continuous integration/deployment (CI/CD) principles. We encourage you to leverage the latest AI tools to augment your skills and accelerate your learning. We champion their responsible use, emphasizing that you must be able to fully understand ...

scale data analysis Experience with modern data platforms (Snowflake, Databricks, or similar cloud data warehouses) Demonstrated MLOps capabilities using tools like MLFlow, SageMaker, Vertex AI, or Azure ML Experience building real-time ML inference systems and streaming analytics pipelines Strong software engineering practices including version control (Git), CI/ ...

business objectives* Define and deliver the platform engineering roadmap, balancing innovation, stability, scalability, and security (including DevSecOps), and incorporating emerging technologies such as generative AI and automated infrastructure provisioning supporting the organisational goals to modernise, reduce technology legacy debt, reduce technology and cyber risk* Lead the development and promotion ...