2,351 to 2,375 of 2,755 Machine Learning Jobs in London

this role. Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive … experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related ...

this role. Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive … experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related ...

Strategic AdvisoryEngage in technical discussions with engineers and architects, translating complex concepts for business stakeholders. Support clients in modernizing technology platforms, adopting AI/ML, and leveraging cloud solutions (AWS, Azure, GCP).Drive strategic initiatives, aligning technology, data, and business needs to optimize delivery and impact. Business Growth & Relationship ManagementDevelop … ability to identify opportunities for account expansion and drive long-term client success. Experience with cloud platforms (AWS, Azure, GCP), data analytics, AI/ML, or digital transformation initiatives. Prior consulting experience or a track record of client-facing leadership. ...

concept engagements covering healthcare use cases including clinical data interoperability, population health analytics, claims and payer data processing, real-world evidence, and AI/ML for diagnostics and care optimisation Act as a subject matter expert on healthcare data architecture, translating complex regulatory and technical requirements (HIPAA, GDPR, HL7/… Deep understanding of healthcare data use cases including clinical interoperability (HL7/FHIR), claims and payer analytics, population health, realworld evidence, and AI/ML for diagnostics or care optimisation Strong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade ...

research-based investment process. This is an opportunity to join a highly diverse and growing team passionate about pioneering the application of quantitative research, ML/AI and data science to private markets investing and risk management. The ideal candidate is someone with: Passion for financial markets and investing, quantitative … drive adoption and integration of QIS models with fundamental analysis conducted by deal teams. Seek to apply new models and techniques (AI/ML) to advance the use of quantitative methods in the investment process. Responding to ad-hoc quantitative analysis requests (20%)Supporting client facing teams in conducting ...

experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related … Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development ...

multi-cloud environments. Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments. Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks. Continuously improve reliability and scalability … tenant environments. Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments. Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale. PLEASE NOTE: Our policy requires a 90-day waiting period before ...

built — influencing the solution and winning the deal — without being buried in delivery execution. You'll also have direct access to AWS AI/ML service teams and private betas, giving you an edge in positioning solutions ahead of the market. Basic qualifications- Bachelor's degree in business administration, finance … frameworks including maturity models, operating model design, data product thinking, and governance- Knowledge of modern data and AI platforms including cloud-native analytics, lakehouse, ML platforms, and GenAI tooling- Experience leading or contributing to large-scale professional services or consulting engagements end-to-end- Understanding of organisational change management ...

hackajob is partnering directly with Moody's Corporation to hire for this role. Skills and Competencies Demonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model … market priorities Collaborate with Legal, Compliance, and Risk teams to ensure capabilities meet regulatory requirements and responsible AI standards Interact with ML Engineering and Operations teams to ensure implemented solutions are enterprise-grade, meeting production standards for scalability, reliability, security, monitoring, and supportability About the Team You will join ...

hackajob is partnering directly with Moody's Corporation to hire for this role. Skills and Competencies Demonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model … market priorities Collaborate with Legal, Compliance, and Risk teams to ensure capabilities meet regulatory requirements and responsible AI standards Interact with ML Engineering and Operations teams to ensure implemented solutions are enterprise-grade, meeting production standards for scalability, reliability, security, monitoring, and supportability About the Team You will join ...

capabilities serving all private markets asset classes - including core data services, cross-fund analytics, workflow automation, and API infrastructure. Lead initiatives in AI/ML-enabled product features, including document extraction (e.g., fund documents, LP agreements, investment memos), NLP-powered search, and intelligent alert systems. Own the investor data model … cross-functional environment. Bachelor's degree required; MBA, CFA, or technical graduate degree preferred. PREFERRED QUALIFICATIONS Experience building or scaling AI/ML-powered product features - particularly in document processing, NLP, or predictive analytics. Familiarity with private markets technology stack and leading vendor solutions (Allvue, Efront, Dynamo, iLEVEL, Juniper Square ...

frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems into real production environments, not just notebooks or demos. A solid grasp of the engineering around models: inference, latency and performance, data pipelines, state … secure‐by‐design development principles (ISO 27001, NIST, OWASP) Experience in defence, national security, or similarly regulated environments Contributions to open‐source AI/ML projects An active SC or DV clearance is a strong advantage for this role. Why This Role? This is a role for engineers who want ...

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers ...

ideal candidate will help define the right problems to solve, not just execute against a fixed brief. The Applied Scientist role combines data science, ML and statistics to build practical systems that drive real business outcomes. It is not a pure research role, although you may explore papers … waiting to be assigned. You will be comfortable – and ideally enjoy – collaborating with others. What We Are Looking For Deep expertise in one applied ML, statistics or data science speciality. Examples could be risk modelling, LLM detection, or reinforcement learning – any area of genuine depth counts. Judgement about when ...

Expedia Group is seeking a senior ML engineer to develop and deploy production ML solutions that power content understanding, recommendations, and personalization across our travel platform. You'll work with data scientists, engineers, product managers, and designers to translate business needs into robust AI systems. You will design … pipelines, experiment with models, ensure performance and reliability, and contribute to architectural decisions across multi-service ML environments #J-18808-Ljbffr ...

essential. Experience: 10+ years in software, data engineering, or solution architecture, with at least 3-5 years focused specifically on applied AI/ML or Generative AI. Hands-on GenAI Depth: Proven experience architecting solutions with frontier modelsincluding prompt engineering, fine-tuning, RAG, and agentic/multi-agent system design. … orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI) and emerging tool protocols (e.g., Model Context Protocol/MCP). Relevant certifications (e.g., Azure AI Engineer, AWS ML Specialty, Google Professional ML Engineer). £650.00 - £680.00/day Talent International UK and it's subsidiaries, Digital Gurus, Infinite Talent and Rethink ...

Consulting team at Eightfold delivers spectacular interactions and experiences with our prospects, customers, and partners. In a fast-paced environment, we focus on continuous learning, outstanding performance, and results. We work with companies and organisations across the globe in a variety of industries. We have a very close relationship … Acquisition, or Talent Management, ideally including exposure to enterprise-scale, multi-region deployments Hands‐on experience with enterprise AI technologies (e.g., LLMs, agentic AI, machine learning-driven matching/recommendation engines) highly desirable — ability to speak credibly to how AI is architected, governed, and deployed at enterprise scale ...

solutionsHelping Version 1 work on proposals with your technical skillsUse your expertise to provide some thought leadershipSignificant experience as a cloud/AI/ML solution architect designing production AI/ML platforms and workloads on AWS (or multi‐cloud with strong AWS depth).Deep understanding of AI/ML … environments to enterprise‐ready architectures, balancing speed, robustness, and long‐term maintainability. Strong background in cloud security, networking, and cost optimisation for AI/ML workloads. Excellent stakeholder skills, able to translate business objectives and programme pressures into clear architectural decisions and technical direction for engineering teams. QualificationsEssential criteria: Experience ...

work on proposals with your technical skills Use your expertise to provide some thought leadership Significant experience as a cloud/AI/ML solution architect designing production AI/ML platforms and workloads on AWS (or multi cloud with strong AWS depth). Deep understanding of AI/ML … environments to enterprise ready architectures, balancing speed, robustness, and long term maintainability. Strong background in cloud security, networking, and cost optimisation for AI/ML workloads. Excellent stakeholder skills, able to translate business objectives and programme pressures into clear architectural decisions and technical direction for engineering teams. Qualifications Essential criteria ...

work on proposals with your technical skills Use your expertise to provide some thought leadership Significant experience as a cloud/AI/ML solution architect designing production AI/ML platforms and workloads on AWS (or multi cloud with strong AWS depth). Deep understanding of AI/ML … environments to enterprise ready architectures, balancing speed, robustness, and long term maintainability. Strong background in cloud security, networking, and cost optimisation for AI/ML workloads. Excellent stakeholder skills, able to translate business objectives and programme pressures into clear architectural decisions and technical direction for engineering teams. Qualifications Essential criteria ...

Analytics & AI) Role Overview We are seeking a Data Architect to support the design and delivery of cloud‐based data, analytics, and AI/ML data platforms. The role focuses on defining scalable data architectures and guiding engineering teams across GCP, Snowflake, and dbt‐based ecosystems in a regulated enterprise … products on GCP (BigQuery/BigLake) and Snowflake . Provide architectural direction for analytics engineering , including dbt‐based transformation layers . Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns. Ensure solutions meet data governance, security, and access control standards. ...

from discovery through delivery and iteration, incorporating rapid experimentation, prototyping, and AI-assisted development Identify, shape, and prioritise AI/GenAI/agentic/ML use cases, translating them into scalable product features and measurable business outcomes Partner closely with data science and engineering teams to bring ML models … responsible AI by embedding governance, explainability, and regulatory considerations into product design and lifecycle Mentor and lead multidisciplinary teams, fostering a culture of experimentation, learning, and AI & data fluency What We're Looking For Experience in developing and delivering digital products/portfolios across B2B, B2C, or B2B2C contexts ...

PySpark for large-scale data processing CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design GitHub Copilot — practical experience using GitHub Copilot within development/architecture … tools (QuickSight, Tableau, Power BI) Infrastructure as Code experience (Terraform/CloudFormation) Industry experience relevant to your business Exposure to streaming data (Kinesis) or ML pipelines (SageMaker) experince in financial domain #J-18808-Ljbffr ...

reins and drive impact, we’ve got an opportunity just for you. As a Senior Lead Software Engineer at JPMorganChase within the AI/ML & Data Platforms group, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software … Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Drive innovation and solution delivery, leading AI/ML technology for the firm and serving as a primary decision maker for your teams #J-18808-Ljbffr ...

Clients - Exceed client expectations. Our clients’ success is our success. Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. In addition to our core values, Addepar is proud to be an equal opportunity ...