2,726 to 2,750 of 3,514 Machine Learning Jobs in London

telecoms industry, is looking to hire a Senior Backend Engineer to join their growing team. The role will involve working closely with ML and AI engineers on integrating Voice AI solutions and ML pipelines with their backend core. Tech stack you will be working with: Go, Python, Postgres, Redis, NATS ...

Alibaba Cloud's MaaS offerings, including model family, PAI platform, and GPU computing services Develop and execute go-to-market strategies for AI/ML products tailored to the European market Build a robust sales pipeline through proactive prospecting, industry events, ecosystem partnerships, and referral networks Collaborate with solution architects …/or 2+ years of specific GenAI sales experience Demonstrated track record of achieving and exceeding sales targets Strong understanding of AI/ML technologies, including large language models, generative AI, and model training/inference workflows Existing network within the AI startup ecosystem or enterprise AI community is highly ...

Scientist to join onsite in London with a PhD preferred. The role collaborates with US/Canada teams and UK asset management to leverage ML and predictive analytics for capital allocation and market insights. The role emphasizes data integration, model development, and informing investment strategies across UK locations, with travel ...

applications for a Global AI & Data Science role. You will build and deploy data science models powering marketing insights, using state-of-the-art ML techniques and data pipelines. Join a collaboration-focused team, mentor juniors, ensure responsible AI governance, and deliver measurable impact through advanced analytics within Haleon ...

JPMorgan Chase & Co. in London seeks a Software Engineer III for AI and ML Data Platforms to deliver production-grade platforms and collaborate with AI Researchers. You will mentor peers and help shape engineering practices across teams to advance experiments into robust, scalable solutions. You will build secure, scalable applications ...

platforms and deliver performance attribution across portfolios. The role emphasizes Python, R, SQL, cloud data platforms, and strong communication. Expect exposure to AI/ML methods and cross-functional project planning. Hybrid work in a global team is offered. #J-18808-Ljbffr ...

National Security, collaborating with data scientists, engineers and consultants to deliver datadriven decisions from diverse datasets. You’ll work on analytics, AI/ML workloads and actionable intelligence, with DevSecOps practices and opportunities to influence architecture and delivery across complex projects. #J-18808-Ljbffr ...

founding engineers to create impactful solutions at a rapidly growing AI firm. Successful candidates will have strong backgrounds in Python, LLMs, and AI/ML systems, ready to deeply engage with innovative technology in a fast-paced environment. #J-18808-Ljbffr ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...