1,051 to 1,075 of 3,266 Machine Learning Jobs in the UK

enhance security policies, standards, and procedures across the organisation.* Manage the information security risk program, maintaining a comprehensive risk register.* Oversee AI/ML security risk management, including the development of policies for generative AI technologies.* Collaborate with Financial Crime and Anti-Fraud teams to mitigate cyber risks related ...

/7 on call rota as required. Essential Criteria Proven Azure commercial experience in AI Foundry, ACS/Telephony, Voice Live, Azure ML Proven industry experience with Python, Javascript, Typescript, React, Redux, Java Experience with LLM’s including realtime models Experience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka ...

using Azure, Fabric, Data Platform& DevOps preferred Experience in designing and implementing cloud‐based data and AI solutions with strong understanding of AI/ML concepts, frameworks, and lifecycle management Proficiency with data integration, ETL, and data pipeline tools Proven experience of designing and leading the implementation of data governance ...

product leadership for data-heavy platforms or analytics products, with a solid understanding of data governance and pipeline design. Strong understanding of AI/ML feature productization, including how AI capabilities are evaluated, explained, and integrated, along with familiarity with AI connectors. Proven ability to manage roadmap tradeoffs and deliver ...

leading, partnering, and scaling developer programs at major healthcare companies, or within relevant verticals.* Significant technical proficiency in high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.* Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical ...

your talents in the real world on challenging engineering tasks. Bonus Skills Experience with infrastructure‐as‐code (Terraform) Exposure to LLMs or AI/ML workflows in production Strong opinions on architectural trade-offs in microservices vs. monoliths Knowledge of security and data privacy best practices in regulated domains Engineering ...

work leveraging Distributed File System ecosystem tools: Linux, Python, Spark, Hive; and modern data platforms and tools (e.g. Databricks, NoSQL stores) and AI/ML frameworks (e.g. NLP). LLM integration patterns, RAG pipelines, and agentic AI architectures, including MCP server. Domain experience in Credit Risk, Market Risk, Liquidity ...

technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function ...

expand our capabilities in model risk management, we're seeking a Model Risk Manager with a keen interest in data analytics and expertise in ML/AI, particularly in applications to computer vision, AML/ATF, and fraud detection. Are you ready to challenge the status quo? We're looking ...

technologies, including AWS, Azure, GCP, Docker and Kubernetes. Expertise in API and performance testing, with experience implementing AI‐driven testing and integrating AI/ML into QA practices. Leadership experience, including guiding teams to deliver testing solutions, collaborating across multiple teams or territories, and using monitoring and troubleshooting tools ...

alerting tools Certifications: Azure Solutions Architect, GCP Professional Cloud Architect. Experience with policy-as-code, GitOps, and advanced automation frameworks. Exposure to AI/ML workloads, serverless architectures, and cloud cost management tools. Security clearance This role is subject to National Security Vetting (NSV). Candidates must be eligible ...

experience managing an Analytics or Data Science team, including prioritisation, roadmapping, coaching and performance management. Experiences with experimental design and supervised/unsupervised ML approaches for regression and classification tasks. Experience of root cause analysis to ensure that problems are solved at both a tactical and strategic level. Experience delivering ...

curiosity about AI. Desirable Hands-on experience building with LLMs - agents, RAG, evals and tooling such as MCP. An active interest in DevOps and Machine Learning. Experience with frameworks like Django, Flask or FastAPI, Elasticsearch or similar NoSQL technologies, and relational databases. Experience with large-scale data processing, including ...

platforms, cloud infrastructure, open-source stewardship, and generative AI innovation. For over a decade, Bloomberg has been at the forefront of applying Artificial Intelligence, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms ...

healthcare data privacy standards: HIPAA, GDPR. Desirable Knowledge of surgical workflows or clinical documentation practices. Exposure to ambient sensing, computer vision, or AI/ML data pipelines in a clinical context. Familiarity with HL7 FHIR R4/R5 and modern SMART on FHIR architectures. Experience with Snowflake, Databricks, or Spark ...

technologies, including AWS, Azure, GCP, Docker and Kubernetes. Expertise in API and performance testing, with experience implementing AI-driven testing and integrating AI/ML into QA practices. Leadership experience, including guiding teams to deliver testing solutions, collaborating across multiple teams or territories, and using monitoring and troubleshooting tools ...

real threats and higher‐value projects. We are venture‐backed, and our team has a rare blend of deep experience across cybersecurity, AI/ML, and SaaS product development. Join us if you want to be on the ground floor of using Gen AI to transform cyber defense. Learn more ...

experience in conducting or leading financial crime risk assessments and/or change impact assessments. Experience delivering data-driven products, including applying AI/ML in Financial Crime contexts and building or enhancing case management systems and investigator tooling. Experience developing products for investment platforms or digital consumer banking, ideally ...

orchestration platforms (e.g., Itential) for network services. Automate connectivity services (VLAN, DNS, Firewall, DDI) integrated with ServiceNow and ITSM workflows. Drive AI/ML use cases such as WAN capacity forecasting, anomaly detection, predictive analytics, and self-healing networks. Integrate and manage observability platforms (SolarWinds Orion, Elastic, Grafana ...

reporting Integrate data from multiple sources, ensuring quality, reliability, and performance Collaborate with data scientists and analysts to enable advanced analytics and Azure ML use cases Optimise data workflows and troubleshoot performance issues Azure Data Engineer - SC Clearance - London/Hybrid - £550 - £600 per day Core Skills & Experience Strong experience … Azure Synapse and Azure Data Factory Proven background in data engineering, data pipelines, and data integration Knowledge of Azure Machine Learning (Azure ML) and analytics platforms Experience with cloud data architecture and best practices Proficiency in SQL, Python , or similar data-focused programming languages Requirements Must hold active ...

Senior AI Engineer (GenAI) — Contract Location: Mid Sussex (hybrid, 3 days on-site per week) Duration: 6 months Rate: £575–£625 per day About the role We're looking for an experienced GenAI Engineer to ...

A leading global financial services firm seeks a Senior Lead Software Engineer to design and enhance data engineering solutions. You'll collaborate with agile teams to develop innovative technology products, contributing to technical strategy and ...

extensive use of BigQuery. Role Overview As a Senior Machine Learning Engineer at Relay, you will own the critical part of ML: productionising our models end‐to‐end, from training pipeline through live integration to measured business impact. Build and mature our ML platform, evolve the model serving … architecture, expand reusable components and set standards for how Relay ships ML organization‐wide. Strengthen existing models by architecting integration and system testing within training pipelines, automating releases, and monitoring drift. Launch completely revamped processes side‐by‐side with data scientists and measure their real‐world impact on the network. ...

Senior Machine Learning Engineer Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions … others: Proven track record of designing and shipping impactful algorithms that deliver measurable business outcomes in a production environment. Deep expertise in applied ML for Search/NLP/IR/RecSys – both classical and deep learning based. Additional familiarity with explore/exploit/MAB algorithms, LLMs ...

demand and decide network handovers. That's 10+ models running in the critical path of a live logistics network where quality is non-negotiable. ML Stack Highlights Python and Rust. We keep things simple but use the right tool for the job Rust with ONNX in-process model execution where … Kubernetes, with extensive use of BigQuery The Opportunity As a Senior Machine Learning Engineer at Relay, you'll: Own critical part of ML: productionising of our models end-to-end, from training pipeline through live integration to measured business impact. Build and mature our ML Platform. Evolve ...