1,826 to 1,850 of 2,743 Machine Learning Jobs in London

assisted agent workflows: human-in-the-loop bot interfaces, AI-guided resolution, next-best-action tools. Scheduling and real-time optimisation via AI/ML tooling. Own tooling requirements and vendor strategy (shortlists, entries, exits) as an ongoing responsibility. D. DoorDash Technology Integration Maintain deep, current working knowledge of DoorDash ...

requirements evolve quickly. Pragmatic and able to balance architectural excellence with business and delivery requirements. Passionate about building next-generation infrastructure for AI and ML at scale. What we can offer you At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. ...

Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. PagerDuty is seeking an Account Executive ...

week. Our Data EnvironmentOur Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team ...

McKinsey & Company is seeking a data scientist to join the global scientific AI team in London or Wroclaw. You will build AI/ML models and pipelines, support client discussions, and deploy analytics capabilities with cross-disciplinary teams. The role emphasizes rigorous statistics, advanced machine-learning methods ...

Proximie is seeking a Senior Machine Learning Engineer to transform operating rooms worldwide with state-of-the-art AI solutions. You will collaborate with cross-functional teams to develop models that enhance clinical outcomes, ultimately contributing to the evolution of the healthcare industry. With a strong technical background ...

reduce wasted miles, cut emissions, and ensure drivers earn fairly. It's logistics, pricing, and marketplace dynamics, driven by software and increasingly by machine intelligence. And we're moving fast. We're embedding AI and machine learning across our core platform, not as experiments, but as production … with long-term maintainability in mind Tackle full stack technical challenges and data flows Collaborate with product and non-technical teammates to understand requirements Learning best practices around scalability, performance, and system design What you'll bring: Experience in an engineering role, ideally in a scale-up or fast ...

company, and on our clients and business partners around the world. Job responsibilities Drives the direction of a greenfield AI/ML-centric fraud risk product Defines product strategy, requirements, roadmap and prioritisation Delivers product capabilities that deliver both reactive fraud detection and proactive fraud prevention through AI/ML … building something new. Things change quickly. We need you to learn technologies and patterns quickly. Preferred qualifications, capabilities and skills Experience building data, machine learning or model platforms Experience working with agentic workflows, prompt engineering and LLMs to solve real-world problems Experience working in a highly regulated ...

development — prompt engineering, fine-tuning, RAG pipelines, context window managementAgentic AI frameworks — LangChain, LangGraph, AutoGen, or similar; building multi-step autonomous workflowsMachine Learning — model … development, training, evaluation, and deploymentAPIs & backend development — FastAPI, REST APIs, microservices architectureVector databases & embeddingsCloud platforms — Azure GCP, or AWS; deploying and managing AI/ML workloads at scaleVersion control & MLOps — Git, CI/CD pipelines, model versioning, monitoring in productionData handlingRequired — Experience & MindsetDemonstrated end-to-end delivery: problem build deployed ...

Client Engagement & DeliveryData Pipeline Development (Batch and Streaming)Snowflake & Cloud Data PlatformsData Architecture & ModellingCollaboration & Best PracticesQuality, Governance & Security Business Relationships: Solution ArchitectsData Engineers, Developers, ML Engineers and AnalystsClient stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership What experience you'll bring: Competencies/Critical Skills … .Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines. Understanding of data governance, security, and compliance frameworks. Exposure to AI/ML workloads desirable. Experience, Qualifications, and Education: Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years ...

Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you'll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You'll work hands … responsible AI practicesWhy Join CapcoDeliver high-impact technology solutions for Tier 1 financial institutionsWork in a collaborative, flat, and entrepreneurial consulting cultureAccess continuous learning, training, and industry certificationsBe part of a team shaping the future of digital financial servicesHelp shape the future of digital transformation across FS & EnergyBenefitsWe offer ...

Science, or a related technical field. Professional Experience: Relevant experience across product development, data and AI, with a significant portion focused on AI/ML-driven products and heavy exposure in recent years to Generative AI. Technical Expertise: Experience with Python, SQL and production analytics workflows; familiarity with big-data … build, and scale complex software systems, including experience with cloud architectures, distributed systems, and modern software development practices. Proven experience in architecting AI/ML solutions with a strong understanding of how to integrate with existing enterprise platforms. Domain Knowledge: Strong experience within the Capital Markets domain is highly preferred. ...

opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. … mentoring and knowledge-sharing as part of your role. Bonus points for Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms ...

enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD.Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles. Ways … publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness ...

external services. Mentor and guide mobile engineers across teams, fostering technical excellence, code quality, and knowledge sharing. Safely integrate and operate AI/ML-enabled solutions that improve mobile user experiences and business outcomes. Collaborate with product, design, and engineering stakeholders to deliver innovative mobile features and drive technical strategy … technical direction for multi-service, cross-domain, or organizational mobile initiatives. Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications: Strong proficiency in Kotlin Advanced proficiency with Jetpack components/Jetpack Compose, Android UI/UX best practices ...

accelerate our long‐term machine learning research agenda. This role suits an established academic researcher who wants to stay connected to frontier ML while applying it to a highly impactful environment. You will collaborate with quantitative researchers, engineers and leadership to identify directions, evaluate developments, and translate advances ...

next chapter of our growth, we'd love to hear from you. About The RoleWe're hiring mid-level and senior Data Scientists/ML Engineers. You will own the entire process: from ideation and research through to production deployment. You'll join one of several hiring teams (Mapping, Matching … dynamic pricing, bipartite matching, driving style prediction, and LLM integration. ResponsibilitiesCollaborate with engineers, designers, and product managers to solve ambiguous problemsResearch, prototype, and ship ML models into productionContinuously improve existing algorithms and identify opportunities for new onesRequirementsStrong academic background in a STEM field2+ years of experience in Data Science ...

higher probability of succeeding when they come through us -- thus ensuring higher revenues to all of our merchants. We do this by combining ML/RL and manual knowledge to make routing algorithms that modify a payment's parameters in real-time. This makes for an exciting technical challenge … have to combine high performance (<100ms), reliability (99.99%), and live machine learning, which requires us to be ahead of the market in terms of technology. How you'll make an impactDrive and support our software and infrastructure engineers working on proprietary algorithmsUphold high standards for our uptime ...

About the Role This is a founding technical role at the intersection of computational neuroscience and production machine learning, sitting at the core of a wearable AI product that quantifies emotional states in real time. You'll own the inference model that … translates biometric and audio signals into emotional intelligence insights — work that directly defines what the product can do. Computational neuroscientists here operate as full ML engineers, bridging research and deployed systems. What... #J-18808-Ljbffr ...

UiPath, Inc. is seeking a systems-focused engineer to advance the Machine Learning Services platform. You will design, implement, and operate core infrastructure handling high-volume inference and multi-tenant workloads across Rust, Python, and cloud environments. Join a quick-moving, growth-focused team focused on distributed systems ...

Novogaia is seeking a machine learning research engineer to design and run rigorous benchmarks for molecular AI systems. You will own evaluation pipelines, construct adversarial tests, and translate results into clear research priorities for the team. You will collaborate with AI engineers, computational biologists, and chemists to ensure ...

JD.COM INTERNATIONAL UK LTD in London seeks a Machine Learning Team Lead to guide a team of algorithm engineers focused on search and recommendation systems. You will drive … design, deployment, and optimization of models to boost personalization, engagement, and traffic efficiency, balancing hands-on work with strategic leadership. The role requires advanced ML/NLP expertise, strong coding skills across Python/C++/Java, and collaboration with product, eng, and business teams. #J-18808-Ljbffr ...

contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain. Contribute across the tech stack : You’ll work …/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work. Live on the cutting edge of AI tooling : You’ll help push the boundary of what’s feasible with modern AI-powered software development ...

working on some really interesting initiatives and have the below responsibilities Lead the delivery of analytical and machine learning workstreams, ensuring models and outputs are robust, repeatable, and aligned with business needs. Collaborate with subject matter experts, architects, and product teams to ensure analytical outputs are technically sound … peers They're pretty cloud agnostic, Azure would be great though. Looking for the below skill set: Strong experience delivering applied data science or ML projects end‐to‐end, including feature engineering, model selection, evaluation, and iteration. Strong experience developing solutions in Python, with good practices around code structure, testing ...

Asian language? Skip the entry-level bottleneck and step into a role that builds a foundation in international insurance, accounting, data analytics, and machine learning. We are hiring an Associate Data Analyst to join our International Data Team in London. You will directly power the financial intelligence used … step Global exposure : Analyze financial data and annual reports from insurance giants across Europe, Asia-Pacific, and MEA. Cutting-edge tech : Work with advanced machine learning software to automate data capture and template allocation. High-profile research : Collaborate with senior analysts to produce data for flagship products, market ...