2,101 to 2,125 of 2,743 Machine Learning Jobs in London

increasing complexity of distribution networks are forcing utilities to operate their grids in fundamentally new ways. Gridsight's vertical SaaS platform uses data, ML and AI to help grid operators modernise their operations and unlock transformational new capabilities. We deliver visibility into the grid edge, faster renewable connections, and real ...

demonstrated ability to learn and apply new technical concepts- Demonstrable interest in artificial intelligencePreferred qualification - Experience in the public sector- Experience selling AI/ML solutions- Familiarity with AWS AI services- Experience working in or alongside a specialist sales function- Understanding of the regulatory landscape for public sectorAmazon ...

bids and business development activities ensuring that proposed solutions are feasible, innovative, compliant, and mission-alignedWorking closely with engineering, data, cyber, AI/ML, and systems integration teams to shape end-to-end solutionsTranslating complex missions' needs into robust technical architecture, capability concepts, and delivery approachesTechnically lead major bids from ...

8+ years of experience as a top-performing enterprise Account Executive/Commercial Leader in SaaS, Cloud Infrastructure, Networking, Application Delivery, or AI/ML software environments. Consistent Quota Attainment: Demonstrated track record of meeting or exceeding $2M+ annual quotas, closing multi-hundred-thousand to seven-figure deals. Domain & Ecosystem ...

synthesizing field intelligence from enterprise deployments**What We're Looking For**15+ years of experience in enterprise architecture, data platforms, or AI/ML — with significant time in a customer-facing or pre-sales capacity Deep expertise in modern data architecture patterns: data mesh, lakehouse, unified data platforms, real-time ...

synthesizing field intelligence from enterprise deployments What We're Looking For 15+ years of experience in enterprise architecture, data platforms, or AI/ML - with significant time in a customer-facing or pre-sales capacity Deep expertise in modern data architecture patterns: data mesh, lakehouse, unified data platforms, real-time ...

This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs by 2030 and ...

Deliveroo in London is seeking a Machine Learning Engineer to join our growth and personalisation efforts. You will be part of a Global DoorDash Engineering team working in a hybrid setup with 3 days in the office. The role focuses on expanding monthly active users across groceries, retail ...

assets, demo quality, and stakeholder feedback. What experience you'll bring: Basic Qualifications: 5+ years of experience in software engineering, AI engineering, data engineering, ML engineering, solution engineering, technical consulting, or related hands-on technical roles.2+ years of experience building or deploying AI, ML, GenAI, LLM, RAG, agentic AI, data … MLOps/LLMOps tooling. Experience working directly with clients, sales teams, or product teams to rapidly prototype solutions under ambiguous conditions. AI/ML, cloud, data engineering, or software engineering certifications. Strong technical curiosity, client empathy, communication, bias for action, collaboration, and ability to explain complex technical concepts clearly. Ability ...

firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this … with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data ...

deliver scalable data infrastructure, APIs, and services with a focus on reliability, performance, data integrity, and innovation—including the integration of AI/ML capabilities to enhance data solutions and developer productivityHow You'll Make an Impact: Lead and mentor a high-performing software engineering team, fostering technical excellence, accountability … driving organization-wide engineering improvements. Why Choose Fitch: Work-Life Balance First: 40% in-office monthly stay connected while keeping flexibility. A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunityInvesting ...

been recognized across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester … disruptive innovators in a research-driven environment with 60+ patents. Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with ...

multiple ways to solve most technical problems and are willing to debate the trade‐offs. Have become a stronger engineer by making mistakes and learning from them. Are a doer, someone who wants to grow their career and gain experience across technologies and business functions. We Continuously invest … experience in software engineering, solutions engineering, technical consulting, or related roles, including 2+ years of hands‐on work with LLMs, AI tooling, or ML systems. Strong Python skills and comfort reading, debugging, and prototyping production‐quality code. Demonstrated experience deploying technology directly with end users in a forward‐deployed, solutions ...

strategies that expand platform usage. The Impact You Will HaveIndependently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learningBuild and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical winsOwn frontline technical relationships with customer engineers … Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor's or Master ...

just a few years. 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the role and team AI platforms are still mostly run like … alerting on. Incident management: Calm, methodical instincts under pressure, and a habit of fixing the class of problem rather than the instance. AI and ML operations: Experience operating model serving, LLM inference or MLOps pipelines in production is a strong plus. Familiarity with model APIs, vector databases, MCP or orchestration ...

your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios … Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis Experience with production deployments ...

Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation (Delta Lake, Medallion architecture) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers, and Analysts Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership Key Competencies Proven experience in data engineering … 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 ...

access control, and security practices in cloud environments. Experience with large‐scale ETL/ELT design and migration programmes. Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms. Demonstrated experience with cloud cost management and FinOps practices. Experience managing vendor contracts, procurement and commercial … knowledge of modern cloud data platforms (Azure Databricks/Spark using Python and associated frameworks, or Snowflake equivalent). Familiarity with how AI/ML and agentic systems are integrated with enterprise data platforms. Strong working knowledge of cloud storage solutions (Azure Data Lake, Blob storage, or equivalent). Strong ...

Hamilton Barnes Associates Limited in London is seeking an ML Research Engineer to join its Innovation & Research team and help develop AI-powered security operations capabilities. The role focuses on building and evaluating AI and agentic systems, improving machine learning workflows, and researching security challenges such as adversarial ...

collaborating with sales and product teams. You will own technical demos, design end-to-end solution architectures, and lead PoCs across hybrid HPC/machine learning workloads, helping customers leverage ORCA's PT-series systems. Expect occasional travel to client sites and close collaboration with partners to shape ...

exist to build the data platforms and analytics that enable every decision at Liberis to be data-informed—and increasingly, to power AI and ML capabilities across the company! We're building composable, reliable data platforms that scale—from ingesting partner transaction data and event streams, to powering analytics dashboards … feeding ML models with real-time features. We're also supporting the AI/ML platform team with reliable, low-latency feature pipelines and model serving infrastructure. We're collaborative, pragmatic, and we value moving fast by fixing the right problems—not over-engineering, but building to last! The team ...

policy running on a robot. This senior, hands-on role demands a proven track record training manipulation policies and deep expertise in robotics, machine learning, and computer vision, with strong publications and PyTorch implementation. #J-18808-Ljbffr ...

existing platforms and tools to collect and analyse data, deploying the latest in AI technology, strategy and practiceEmploy a variety of qualitative, statistical and machine learning-oriented approaches to investigate and interpret data Innovate, collaborate and lead other data scientists to build and support custom solutions, applications … your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You'll be assigned a dedicated coach ...

platforms and tools to collect and analyse data, deploying the latest in AI technology, strategy and practice* Employ a variety of qualitative, statistical and machine learning-oriented approaches to investigate and interpret data* Innovate, collaborate and lead other data scientists to build and support custom solutions, applications … your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You’ll be assigned a dedicated coach ...

Firmwide Chief Analytics Office, Model Risk Governance & Review, Legal, Compliance & Controls to establish and enforce policies and standards that promote responsible AI/ML and Generative AI model development and usage. They engage business and technology stakeholders across the Commercial & Investment Bank's lines of business to ensure processes, tools … controls are in place to support and incorporate AI/ML implementation best practices. As an Sr Associate on the AI/ML Governance team within the Commercial & Investment Bank (CIB), you will have the opportunity to contribute to multiple strategic, global initiatives. This role allows ...