1,101 to 1,125 of 4,854 Machine Learning Jobs in England

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry‐leading, machine‐learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … cutting‐edge, machine‐learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up‐to‐date CV via the relevant link. We’re committed to creating ...

master and owner of these integrations. Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handy with the most common … services or APIs. Experience with third-party APIs is essential. Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. Infra: Deep Knowledge of Docker ...

Engineer to lead data engineering activities for our Data Platforms and Services in London. You will ingest, cleanse and model data for BI reporting, ML and AI, ensuring quality and governance. The role emphasizes strong Azure skills (ADF, ADLS, Databricks), PySpark, Python and SQL, with a DevOps and CI/ ...

frameworks and policies to ensure compliance with evolving regulatory standards and internal guidelines Lead the identification and mitigation of risks associated with AI/ML models, ensuring robust model risk management throughout their lifecycle Oversee the validation and monitoring of AI/ML models to ensure accuracy, fairness, and compliance … governance frameworks and policies Demonstrate advanced proficiency in model risk management, including the ability to identify, assess, and mitigate risks throughout the AI/ML model lifecycle Exhibit expert-level skills in ensuring AI/ML model compliance with regulatory standards, utilizing techniques for explainability and bias mitigation Showcase advanced ...

while navigating regulatory and compliance realities. Required qualifications, capabilities and skills Extensive product management experience or equivalent expertise, including extensive experience delivering AI/ML‐powered products, AI platforms, or developer tools in financial services or technology companies, and expert at navigating matrix and complex organisations, collaborating effectively across teams … Proven track record of owning AI product vision and roadmap end‐to‐end, and leading cross‐functional teams that deliver enterprise‐scale AI/ML solutions with measurable outcomes, including AI assistants, intelligent automation, AI‐native workflows, or developer productivity tools. Strong understanding of AI/ML model lifecycle management ...

market operates. This is not a research role — we need someone who ships. What You Will Do Lead the design and delivery of complex ML and GenAI systems — robust, scalable, and built for production. Guide the team across the full AI lifecycle, from experimentation and evaluation through deployment and monitoring … cash flow waterfalls, ABS/CLO structures, and priority of payments. Strong software engineering skills (Python preferred) combined with deep knowledge of AI/ML frameworks, GenAI tooling, and modern data infrastructure. Hands‐on experience building and deploying ML/GenAI systems in production within finance, legal, or other high ...

Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure ...

architecture; 7+ years in Azure cloud; 5+ years in AI/ML. Hands‐on with Azure OpenAI, Azure AI Foundry, Document Intelligence, Data Factory, ML Service, Databricks, Key Vault, Blob Storage, Synapse Analytics, DevOps. Strong LLM, embeddings, RAG, prompt engineering knowledge. Expertise in secure API/event‐driven design, microservices … DDD. Experience with vector databases, semantic search, Azure ML pipelines, Power Platform, multi‐agent orchestration. Contract Details Duration: 6 months Working Model: London, Tunbridge Wells, Ipswich, Bolton (Hybrid - 3 days in Any locations) Role Type: Contract Salary Rate: £650 per day #J-18808-Ljbffr ...

Enfint ищет опытного backend‐инженера для проектов AI/ML и GenAI. Ваша задача — проектировать и строить надежные API на Python, интегрировать LLM с инструментами и данными и выносить решения в продакшн с учётом масштабируемости. Вы будете работать с Data Science, DevOps и инфраструктурой, наставлять коллег, развивать практики тестирования, мониторинга ...

teams, this individual will transform assessment concepts into functional proofs of concept and serve as a subject-matter expert in psychometrics and AI/ML-based scoring. The position requires strong professional leadership, deep expertise in test development and validation standards, and a commitment to scientific rigor, high-quality documentation … concept using modern AI tooling and agentic workflows Owning psychometric quality across reliability, validity, and scoring, combining established psychometric theory with AI/ML scoring approaches to deliver accurate, robust, and explainable results Building fairness and legal defensibility into assessments from the design stage, maintaining current knowledge of relevant regulation ...

cloud-native architecture, security and engineering governance. Experience evaluating and integrating third-party Financial Crime or Risk technology platforms. An understanding of AI/ML and GenAI architecture, particularly within regulated environments. Knowledge of responsible AI principles including explainability, human-in-the-loop controls, model governance and auditability. The ability … particularly relevant: Salesforce Financial Services Cloud | Snowflake | ComplyAdvantage | OCS | SQL | Python | REST APIs | Event-Driven Architecture | Cloud | CI/CD | DevSecOps | AI/ML | GenAI | LLMs | RAG | Data Governance | Data Lineage #J-18808-Ljbffr ...

from technical scoping and architecture design through production launch. Cross-Functional GenAI Alignment: Drive execution and manage complex technical dependencies across systems engineering, Core ML, Research, and Product teams to deliver unified SGP capabilities with architectural consistency. Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute … proven track record of having built and shipped technical products or platforms from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms). Platform Domain Expertise: 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration ...

cloud-native architecture, security and engineering governance. Experience evaluating and integrating third-party Financial Crime or Risk technology platforms. An understanding of AI/ML and GenAI architecture, particularly within regulated environments. Knowledge of responsible AI principles including explainability, human-in-the-loop controls, model governance and auditability. The ability … particularly relevant: Salesforce Financial Services Cloud | Snowflake | ComplyAdvantage | OCS | SQL | Python | REST APIs | Event-Driven Architecture | Cloud | CI/CD | DevSecOps | AI/ML | GenAI | LLMs | RAG | Data Governance | Data Lineage If you have the above experience please apply immediately ... ...

architecture across the product pipeline - from real-time data processing and predictive analytics through to automated operations and intelligent alerting. Lead delivery of production ML/AI systems, working closely with data science and operational teams to deploy models that create measurable business value. Own integrations with operational and enterprise … architecture, proof-of-concept development, and production deployment. Meaningful experience with a subset of these technologies is essential: TypeScript (application development, API services) Python (ML/data pipelines, automation, scripting) SQL (data modelling, querying, optimisation) Azure (cloud services, serverless functions, managed services) Infrastructure as Code (Pulumi preferred, or similar tooling ...

into platform improvements Help build and maintain reproducible runtime environments, container images, and workflow-supporting services for scientific computing workloads, including bioinformatics, AI/ML, data processing, and simulation workflows Assume responsibility for coordination and provision of HPC user training and onboarding Ensure best practices in project management are maintained … quickly and effectively though leadership, delegation and the ability to deep‐dive when necessary Desirable Exposure to computational research involving GPU, including AI/ML methods applied to biomedical problems Experience supporting GPU‐accelerated workloads, NVIDIA tooling, CUDA‐aware environments, and/or AI/ML and bioinformatics workloads ...

Data Science Platform group within Nishantha's organisation, you will help build and evolve the core data infrastructure that enables Data Scientists, ML Engineers and Analysts across Forecasting, Recommendations, Pricing, Marketing and Customer domains to develop, deploy and operate data-driven products at scale. This is an opportunity to work … quality and operational excellence. Creating reusable libraries, tooling and engineering patterns that enable teams to deliver data products more efficiently. Partnering with Data Scientists, ML Engineers and Product Engineering teams to solve data challenges and enable new machine learning use cases. Contributing to architectural decisions and the evolution ...

MongoDB environments Build self‐service tooling, templates and documentation that reduce unnecessary reliance on DevOps Support infrastructure for data pipelines and AI/ML model deployment as our technology continues to evolve Partner directly with developers on deployment, troubleshooting and infrastructure best practices. What We’re Looking … where you can demonstrate the ability to transfer that knowledge into an Azure environment. Experience with high‐availability infrastructure, PostgreSQL or MongoDB, AI/ML infrastructure, ETL/data pipelines, FinOps or SOC 2/ISO 27001 environments would be a bonus. Above all, we’re looking for someone ...

SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Well versed in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge … ability to work across engineering, research, and product teams across multiple time zones. You have external client-facing consulting experience Broad experience in diverse ML techniques and agentic systems About Accenture Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations ...

SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Well versed in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience with end-to-end data pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge … ability to work across engineering, research, and product teams across multiple time zones. You have external client-facing consulting experience Broad experience in diverse ML techniques and agentic systems About Accenture Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build ...

legacy technologies from multiple eras, ensuring business-critical systems remain stable while new, modern components, built with open architecture, APIs and microservices, data/ML capabilities, and cloud where appropriate are introduced progressively to support Commercial Banking growth ambitions. As an HSBC employee in the UK, you will have access … legacy technology stacks such as Docker, Kubernetes, microservices, API gateways (Kong), REST, Kafka, React Familiarity with large-scale transformation using analytics and AI/ML Opening up a world of opportunity Being open to different points of view is important for our business and the communities we serve. At HSBC ...

concept engagements covering healthcare use cases including clinical data interoperability, population health analytics, claims and payer data processing, real-world evidence, and AI/ML for diagnostics and care optimisation Act as a subject matter expert on healthcare data architecture, translating complex regulatory and technical requirements (HIPAA, GDPR, HL7/… Deep understanding of healthcare data use cases including clinical interoperability (HL7/FHIR), claims and payer analytics, population health, realworld evidence, and AI/ML for diagnostics or care optimisation Strong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade ...

performance cloud workflows. Raising engineering standards – introducing Git, CI/CD pipelines, automated testing and best‐practice engineering processes. Preparing data for AI and ML – designing resilient architectures that ensure high‐quality, accessible data for future AI initiatives. What You Will Need In The Role Of Data Engineer 3–5+ … Python for automation Solid understanding of star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit‐learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/ ...

Skills and Competencies Demonstrated experience building or evaluating AI/ML-powered products, including familiarity with evaluation methodologies Understanding of large language models (LLMs) and generative AI concepts, including AI agents, prompt engineering, context management, and Model Context Protocol (MCP), including MCP Apps and their UI capabilities Mastery … market priorities Collaborate with Legal, Compliance, and Risk teams to ensure capabilities meet regulatory requirements and responsible AI standards Interact with ML Engineering and Operations teams to ensure implemented solutions are enterprise-grade, meeting production standards for scalability, reliability, security, monitoring, and supportability About the Team You will join ...

LangGraph, LangChain, Haystack or similar , together with the ability to work below the framework level when required. Experience designing and deploying AI/ML systems into genuine production environments. Strong understanding of model inference, latency, performance, data pipelines, state, memory and tool/function calling. Experience building search and retrieval … development principles, including ISO 27001, NIST or OWASP. Experience within defence, national security or other highly regulated environments. Contributions to open-source AI/ML projects. Security Clearance Due to the nature of the work, applicants must be eligible to obtain UK security clearance . Candidates will generally need ...

multi-cloud environments. Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments. Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks. Continuously improve reliability and scalability … tenant environments. Ability to balance rapid iteration with production-grade quality , shipping reliable backend systems in fast-paced environments. Collaborative mindset , working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale. PLEASE NOTE:Our policy requires a 90-day waiting period before ...