126 to 150 of 3,226 Machine Learning Jobs in London

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 of our customers. … vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices architecture Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen ...

Data Science 4+ years of experience in engineering, with 2+ years in customer-facing or field roles. Proven success building and deploying AI/ML or data-intensive applications in production. Deep full-stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/ ...

with a fantastic team of technology experts.You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability.RequirementsKey Responsibilities:Develop Data Engineering solutions ...

patterns, or AI orchestration frameworks.Key Skills (Prioritised) Cloud Platforms Expertise:Azure (general engineering + PaaS services)Entra ID (identity architecture, authentication flows)AI/ML & Generative AI:Azure OpenAI (deployment, integration, governance)OpenAI SDK, GPT models, embeddings and vector workflowsPrompt engineering with governance and safety controlsProgramming & ScriptingPython (essential)PowerShellGovernance & ComplianceDesigning ...

databases and metadata management platforms Knowledge of data governance frameworks, data quality dimensions, and regulatory requirements (e.g., BCBS 239, GDPR) Experience with AI/ML technologies and their application to data management challenges (e.g., automated data profiling, metadata enrichment) Understanding of agile and product management methodologies and experience working ...

drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead ...

drive efficiency across the business.Do you love shaping the technical landscape and driving innovation across the organisation Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs.What You'll DoOwn and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoptionLead and coordinate ML ...

offer a competitive salary, a great location, and a supportive, people-first culture where your growth truly matters. With access to global projects, learning opportunities, and an inclusive environment that values every voice, you’ll have the space to shape the future with us.About The TeamYou’ll be joining … Design, implement, and optimize AI agents for various applications, including customer service, supply chain optimization, recommendation systems, and internal operations.Develop robust agent architectures, incorporating machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques.Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality ...

enabled products and services. What you'll do Design, build and operate shared platform capabilities that enable teams to develop and deploy ML and AI solutions efficiently and securely Create reusable infrastructure, tooling and automation that improves the developer experience and reduces operational overhead Build and maintain cloud-native platform … services covering deployment, networking, security, identity, monitoring and governance Collaborate with product teams, data scientists and ML/AI Ops engineers to understand requirements and provide scalable platform solutions Drive engineering excellence through automation, standardisation, observability and reliability practices Contribute to the evolution of our AI and ML platform strategy ...

About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions when needed. … remit spans AI enablement, agentic systems development, and “conventional” ML engineering for non-GenAI applications e.g. recommender systems, forecasting models, and more. We’re looking for an AI & ML Engineer who is passionate about building production‐ready AI and machine learning solutions. You'll work across a variety ...

innovation in this fast evolving space as new technologies reshape how money moves. In this role, you will work at the forefront of modern machine learning and generative AI to deliver meaningful, lasting impact on global finance. You will partner closely with product, operations, risk, and technology teams … measurable outcomes. You will also have opportunities to mentor others and help shape how we build and operate production AI. As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment of machine learning ...

rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!Role OverviewWe are seeking a ML Ops Engineer to join our Platform Engineering team at Anaplan. In this role, you will design, scale, and maintain high-performance MLOps and LLMOps infrastructure … supporting our cutting-edge AI-infused scenario planning platform.You will work closely with Data Scientists, ML Engineers, and Cloud Infrastructure teams to streamline model training, deployment, and inference while ensuring optimal GPU utilisation, reliability, and cost-efficiency.Your ImpactProvision and manage cloud-native AI/ML infrastructure utilising Kubernetes, Docker ...

London‐based team. Core Technical Qualifications: Hands‐on experience in technical pre‐sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI. Demonstrated ability to architect end‐to‐end Data & AI solutions, with specific expertise in modern ...

with our London-based team.Core Technical Qualifications:Hands-on experience in technical pre-sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI.Demonstrated ability to architect end-to-end Data & AI solutions, with specific expertise in modern ...

Locations: Boston | LondonWho We AreBoston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was ...

learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML productsDeep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using … required; a Master's or Ph.D. in a related discipline is preferred, but not requiredResponsibilitiesLead the design, development, and delivery of innovative AI, ML, and GenAI solutions that create meaningful value for clients and advance product capabilities across the Corporate and Governments business.Lead the end-to-end design, development ...

data science, contributing expertise across projects, bids and stakeholder discussionsLeading and delivering complex machine learning and AI projects in collaboration with ML engineers, delivery teams and customersEngaging with users to define requirements, scope AI use cases and develop realistic delivery plansSupporting the design, development and deployment of models … tabular dataStrong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC)Understanding of software engineering and ML best practices, including version control, packaging and model deploymentExperience training and deploying models using cloud platforms, particularly AWSAbility to communicate complex ideas clearly to both technical ...

learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using … Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead the design, development, and delivery of innovative AI, ML, and GenAI solutions that create meaningful value for clients and advance product capabilities across the Corporate and Governments business. Lead the end-to-end design, development ...

learning platforms such as AWS, Azure, GCP, and Databricks, as well as the broader ecosystem used to build and deploy AI and ML products Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using … Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead the design, development, and delivery of innovative AI, ML, and GenAI solutions that create meaningful value for clients and advance product capabilities across the Corporate and Governments business. Lead the end-to-end design, development ...

Retrieval, embeddings and semantic search Narrative detection and clustering Multilingual text intelligence Large-scale data and model pipelines Model evaluation, observability and monitoring Production ML infrastructure on AWS The problems are often open-ended. You might be evaluating how reliably different models identify changes in a market narrative, improving entity … scale historical and real-time datasets. Carry out detailed error analysis and use what you find to improve model and system performance. Build reliable ML infrastructure Develop and maintain data and machine learning workflows using technologies such as Apache Airflow. Help improve CI/CD, automated testing, monitoring ...

others, we’ve been recognized with: 21x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner … Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Our culture is built on transparency, diversity, integrity, learning and growth. We are committed ...

Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver high quality AI/ML solutions. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Have a deep understanding and developing …/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code ...

Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver high quality AI/ML solutions. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Have a deep understanding and developing …/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI. Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code ...

Design and build statistical, machine learning, and AI tools, alongside investigative data pipelines, for integration into existing or new reliability infrastructure.Apply data science to improve Google Cloud Platform reliability in partnership with the Platform Reliability Engineering (PRE) organization, focusing on change supervision and rollouts.Collaborate closely with engineering … broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to Google's users and customers.In this role, you will design statistical and machine learning ...

huge variety of interesting, international, and world-leading clients on exciting next generation technology-enabled projects. We are looking for candidates with AI/ML Engineering expertise to join us, working in fast-paced teams with talented colleagues across the UK and Deloitte’s wider delivery network.We encourage consideration … with some flexibilities, please do discuss it with us.Your roleAs a practitioner in AI & Data, you are responsible for delivering AI/ML Engineering on client projects. You are encouraged to devise innovative solutions to help our clients address their biggest data challenges including developing modern analytics platforms.AI/ML ...