2,751 to 2,775 of 3,534 Machine Learning Jobs in London

Science to build data science into a core function at Fresha, not manage what already exists. The team is small but technically strong - production ML in fraud detection, text moderation, and taxonomy classification, running on SageMaker with a dbt/Snowflake stack. We're operating reactively, and there's significantly … that move revenue or cost - and deprioritise the restMake the case for data science investment at the exec tableShip impact & build the technical foundationShip ML products that drive measurable business outcomes - not just modelsEstablish experimentation as a discipline: A/B testing, causal inference, automated experimentationBuild foundational data science infrastructure ...

analytics within Content Product Analytics. The role emphasizes understanding user behavior, experimentation, and causal inference to inform product decisions. The successful candidate will design ML/NLP models, build scalable data pipelines, and mentor a team of scientists and engineers while collaborating with cross-functional partners to influence roadmaps ...

design customized data solutions, influence stakeholders, and drive successful outcomes. You will need a strong technical background in data engineering, data warehousing, or ML/AI, with proficiency in Python/SQL, and #J-18808-Ljbffr ...

J.P. Morgan is seeking a Principal Software Engineer - Applied AI/ML Director to lead GenAI initiatives within the Accelerator Business. You will drive scalable AI solutions, mentor squads, and ensure governance and security across deployments. You will collaborate in tribes and squads, focusing on products that deliver real-world ...

developing Scale’s global defense products, while being the primary technical expert to our global customers.The ideal candidate brings together a strong engineering or ML background, entrepreneurial drive, the eagerness to be a hands-on builder, and the ability to get in front of senior technical and government stakeholders … real technical understandingDesign and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teamsUse customer context to inform what you build — understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirementsNavigate the unique constraints ...

Lead Data Scientist to drive high-impact data science initiatives across the business. You will lead projects from conception to deployment, build scalable ML models, and mentor a squad of data scientists in a cloud-based data lake environment. You will work with Databricks on Azure, apply Agentic and Generative ...

team members on best practices. Candidates should have extensive experience with cloud platforms like AWS, strong Python skills, and a passion for AI/ML concepts. The position promotes an inclusive work culture where diversity is celebrated. #J-18808-Ljbffr ...

seeking a Senior Backend Engineer in London to help build and scale backend systems for Voice AI solutions. You will collaborate closely with ML/AI engineers to integrate real-time AI capabilities into the core backend. The role emphasizes ownership, autonomy, and delivering impact in a fast-growing environment. ...

from model integration to intuitive UIs. You will build production-ready AI features enabling business users to leverage GenAI within planning workflows, requiring deep ML knowledge and strong software engineering skills. The role emphasizes end-to-end AI feature delivery, model monitoring, and cross-functional collaboration with data scientists ...

solutions for financial services clients. You will design, implement and scale autonomous AI systems, working across multi‐modal models, enterprise data integrations, and production ML pipelines to deliver measurable business impact. You will collaborate with cross‐functional teams and client stakeholders to translate requirements #J-18808-Ljbffr ...

will collaborate with engineers and consultants to turn ambitious ideas into production-ready systems. The role requires 7+ years in enterprise AI/ML, cloud experience across AWS, Azure, and GCP, and familiarity with AI governance and MLOps. Hybrid work environment with cutting-edge projects and flexible delivery. #J ...

business outcomes on a GCP-powered stack. You will implement advanced agentic workflows, ensure security and compliance, and mentor teammates in modern AI/ML practices. #J-18808-Ljbffr ...

role involves developing relationships with clients and assisting them with their data challenges using the Databricks platform and requires expertise in Data Science and Machine Learning. The ideal candidate will work collaboratively with a customer-focused team and support project deliverables while travelling to customer sites as needed. Applicants ...

Databricks in London seeks a Solutions Architect to own technical strategy for customers, lead architecture discussions, and drive platform adoption across data engineering, ML/AI, and real-time analytics. You will act as a trusted advisor to customer technical leads and architects, shaping architectural decisions and ensuring successful deployments. ...

PhysicsX is building an AI-driven simulation platform in the UK. We hire software engineers to empower Data Scientists, ML Engineers and Simulation Engineers to create, train and deploy physics-informed models. You will own your work from implementation to production, ensuring quality, scalability and observability. You will collaborate across ...

Vendor to Watch’ by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Role/Responsibilities: Must have Snowflake &/Snowflake ML experience. Fractal Data Engineer roles required with the necessary Snowflake experience. Data Build Tool (DBT) experience would be advantageous. To manage the build of nominated …/resolution. Role/Skills of the Snowflake Data Engineer for Programme Migrations Ideally competent to build data models/data pipelines with Snowflake ML, with input from the respective Data Scientists. Be able to leverage Snowflake frameworks & workflows to construct scalable models. Work collaboratively with the Data Scientists ...

founders, backend and mobile engineers, and the operations team. Many of Aurora’s most important features live at the intersection of product judgment, ML systems, and agent orchestration - this role owns that intersection. This is a high‐ownership role. You will take ambiguous ideas, turn them into concrete systems, ship … balancing customer needs, technical constraints, and delivery speed Design and implement AI-powered workflows using LLMs, tools, and agentic systems Build and iterate on ML-driven features, including classification, ranking, extraction, and decision support Design agent flows that combine automation with human‐in‐the‐loop escalation Work closely with ...

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 ...