576 to 600 of 4,511 Machine Learning Jobs in England

diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance … with Golang is advantageous. Experience using Apache Kafka is a big plus. About Business Unit IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action ...

journeys. Working with both structured and unstructured data, you will uncover insights and identify opportunities to enhance customer and operational outcomes. You will combine machine learning, NLP, and Generative AI techniques to extract value from text, develop predictive and analytical models, and take ownership of deploying data science ...

DescriptionWhat is the opportunity You'll build the plumbing that gets ML models into the hands of the people who need them. Whether it's REST APIs feeding internal apps, GraphQL endpoints powering dashboards, or MCP servers fueling AI agents-you own the serving layer that makes models actually useful … time role requiring 4 days in the office at our London location.What will you do Design and build REST and GraphQL APIs that expose ML models from Databricks to internal apps, CRM platforms, and enterprise systems-handling contract design, versioning, authentication, and clear documentationBuild MCP servers that expose models ...

technical platform capabilities across the product lifecycle. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time‐series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud … Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive ...

methods alongside experience working with foundation models and prompt engineering Practical experience with GCP services or AWS equivalent such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc Practical experience with CI/CD for AI/ML, model versioning, monitoring, and AI Ops practices An understanding ...

functional delivery.Experience managing multiple agile squads and balancing strategic initiatives with ongoing business demand.Preferred QualificationsProperty & Casualty insurance experience, particularly Claims.Experience implementing Generative AI and machine learning solutions in production.Hands-on experience with Databricks, Snowflake, Azure Data Platform, Azure AI Search, Azure Data Lake Storage, and modern cloud architectures.Experience … annual leave plus ability to purchase additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program.Integrity. client focus. respect. excellence. teamworkOur core values dictate how we live and work. We’re an ethical and honest ...

teams - Evaluate new technologies and tools - Support and mentor colleagues within a collaborative environment About You: - 5+ years' experience in data, analytics, AI or machine learning - Strong technical skills (Python, SQL, data pipelines) - Experience with AI technologies (e.g. LLMs, vector databases, Azure/OpenAI tools) - Proven ability ...

business value.Essential experience:10+ years’ experience in data, analytics, AI, or enterprise architectureStrong consulting background delivering technology and AI transformation programmesDeep understanding of AI, machine learning, GenAI, and cloud data platformsExperience with AWS, Azure, or GCPStrong knowledge of data architecture, DevOps, and automation toolingExperience engaging with senior stakeholders ...

solution architecture, technology consulting, software engineering, data engineering, systems integration, presales, or delivery roles.3+ years of experience designing or delivering AI, data, analytics, ML, GenAI, agentic AI, or automation solutions.1+ year of hands-on or solutioning experience with GenAI, LLMs, RAG, AI agents, or enterprise AI platforms.Experience producing solution blueprints …/Gemini, Databricks, Snowflake, vector databases, orchestration frameworks, and MLOps/LLMOps tooling.Experience supporting large pursuits, proposal development, pricing reviews, or delivery mobilization.AI/ML, cloud, data platform, architecture, or security certifications.Strong analytical thinking, commercial judgment, written communication, cross-functional collaboration, and client-facing presentation skills.Ability to travel as required ...

database layersExperience building concurrent, distributed applications at scaleExperience working with DevOps or SRE teams to support production environmentsStrong communication and collaboration skillsA passion for learning, continuous improvement and delivering high-quality softwareAnd it would be great if you had any of the following...Experience with PHPExperience with Kafka, RabbitMQ … latency transaction-based systemsKnowledge of AWS, Docker and CI/CD practicesExperience with PostgreSQL, MongoDB or BigQueryExposure to data platforms, ETL processes or machine learning-enabled productsExperience mentoring, coaching or supporting the development of other engineersPrevious experience within fintech, payments or a fast-paced startup environmentThis ...

Excellence Write comprehensive unit tests, integration tests, and end‐to‐end tests to ensure code reliability Participate in code reviews, providing constructive feedback and learning from senior engineers’ perspectives Refactor existing code to improve maintainability, performance, and scalability Document design decisions, API specifications, and operational runbooks for platform services … Programming: Experience with low-level systems programming such as storage systems, Kubernetes operators, OS-level software development, or daemon services (llm‐d, system agents) ML Platform Engineering: Experience productionizing ML pipelines, batch job orchestration, model fine‐tuning workflows, and Jupyter notebook orchestration systems Enterprise Deployment: Experience platformizing and packaging software ...

privacy, and information security Desirable:Financial services experience Awareness of data models in a Medalion ArchitectureExperience building Semantic, Metric or Analytic modelsExperience of building Machine Learning models Any experience in MLOps or operationalising Machine LearningKnowledge of Data Quality Frameworks in PythonQualifications:Industry focused degree or equivalent working ...

concurrent, distributed applications at scale* Experience working with DevOps or SRE teams to support production environments* Strong communication and collaboration skills* A passion for learning, continuous improvement and delivering high-quality software**And it would be great if you had any of the following...*** Experience with PHP* Experience with … based systems* Knowledge of AWS, Docker and CI/CD practices* Experience with PostgreSQL, MongoDB or BigQuery* Exposure to data platforms, ETL processes or machine learning-enabled products* Experience mentoring, coaching or supporting the development of other engineers* Previous experience within fintech, payments or a fast-paced startup ...

specific line between engineering and research teams. We operate as one cohesive unit, sharing tech stack, knowledge, and objectives. Our focus spans from fundamental ML research to commercial-grade software development, offering diverse learning and impact opportunities. Your impact Secure, repeatable deployments across enterprise cloud environments. Increasingly, Gigaton deploy … cloud workloads across GCP, AWS, and Azure, so that we can deploy ML-Ops and data solutions inside our customer’s perimeter. You will help to design, simplify, and improve our entire stack so that we can meet stringent cybersecurity guidelines, while remaining agile. Set the technical bar, and lift ...

software engineering experience, with strong fundamentals in system design, data structures, and clean code practices.Proven experience designing and shipping production-grade AI or ML-enabled software systems.Strong proficiency in Python, including building and shipping production backend services.Hands-on experience building applications with LLMs such as Azure OpenAI, OpenAI, Anthropic … production monitoring.Experience implementing responsible AI practices in a regulated environment, including audit trails, confidence scoring, and human-in-the-loop controls.Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred.MongoDB or other NoSQL database experience is preferred.Prior exposure to insurance domain concepts such ...

systems. Provides operational support and leadership for production systems in a "you‐build‐it‐you‐run‐it" culture, including incident response, post‐incident learning, and continuous reliability improvements. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‐oriented probing of architectural designs, technical credentials … including setting standards and driving adoption across teams. Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc. Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services ...

meaningful impact are encouraged to apply. Areas We Value Experience In Software Engineering Data Engineering Cloud & Platform Engineering Site Reliability Engineering (SRE) AI & Machine Learning DevOps & Automation Architecture & Distributed Systems Analytics & Data Platforms Benefits LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid ...

Nice to have: experience with telemetry, sensor, location, and operational technology data platforms; large-scale video, image, and unstructured media datasets; feature engineering and machine learning data preparation; private cloud and on-premises environments; maritime, fleet, vessel operations, logistics, or industrial operational domains Условия Salary varies by regional ...

Cypher, GSQL, AQL, SPARQL etc. depending on stack) Integrate knowledge graph retrieval & reasoning into LLM/RAG/GraphRAG systems Develop and evaluate graph ML/embedding models (link prediction, anomaly detection) Optimize graph performance, scaling, and query efficiency Liaise with client stakeholders: translate business problems into graph solutions Mentor … Graph DB certifications (Neo4j, Stardog, etc.) High visibility & critical client impact Exposure to cutting-edge hybrid AI/KG architectures Autonomy, ownership, and fast learning Competitive compensation + meaningful equity or bonus scheme Flexible/hybrid work arrangement ...

Microsoft technologies, including 3-5 years' hands-on experience with the Microsoft Power Platform (Power Automate, Power Apps, and Power Pages) Strong understanding of Machine Learning, Generative AI, MLOps, DevOps, and the delivery of scalable AI solutions Knowledge of enterprise integration technologies including APIs, microservices, JSON, XML, messaging ...

harnesses the power of LLMs and generative AI, and combines it with Universal Language – our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises – including tier-1 banks and leading accountancy firms – across … work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs – for example, how to represent regulatory knowledge as machine‐evaluable rules, or how to build feedback loops that improve system accuracy over time. You’ll work within a shared monorepo alongside software engineers, research ...

Experience with dbtExposure to streaming technologies such as KafkaExperience within a high-growth SaaS or technology businessFamiliarity with Infrastructure as Code (Terraform)Experience supporting machine learning or AI workloads What's on Offer Salary up to 75,000 depending on experienceGenerous benefits packageHybrid working (London-based)Opportunity ...

Exposure to streaming technologies such as Kafka Experience within a high-growth SaaS or technology business Familiarity with Infrastructure as Code (Terraform) Experience supporting machine learning or AI workloads What's on Offer Salary up to £75,000 depending on experience Generous benefits package Hybrid working (London-based ...

harnesses the power of LLMs and generative AI, and combines it with Universal Language – our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing.Our products are already in use with major enterprises – including tier-1 banks and leading accountancy firms – across audit … work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs – for example, how to represent regulatory knowledge as machine-evaluable rules, or how to build feedback loops that improve system accuracy over time.You'll work within a shared monorepo alongside software engineers, research engineers ...

execute a comprehensive account strategy that drives revenue growth, deepens customer adoption across the full AWS portfolio — including compute, networking, storage, AI/ML, Generative AI, and edge solutions — and positions AWS as the preferred cloud partner for next-generation telco workloads. This role requires deep understanding of the telecommunications … term technology decisions align with long-term business goals.Solution-Led Selling: Drive solutions discussions diving deep into complex challenges — including modernization, migration, AI/ML, and infrastructure optimization for telco workloads. Recommend AWS products and services aligned with how the Telco delivers solutions to their end customers (Telco operators globally ...