301 to 325 of 6,120 Machine Learning Jobs in the UK

line of code, but you understand the platform end-to-end and own outcomes. You'll partner closely with product owners, data scientists and machine learning engineers, site reliability engineering, and business stakeholders to deliver stable, scalable cloud-native analytics. Job responsibilities Own application governance and records ...

built - your early decisions will define how agents behave across the whole system for years to come. Qualifications 8+ years’ experience in AI/ML or software engineering, including designing and shipping agentic systems into production, not just prototypes Experience architecting agent governance for high-stakes domains: guardrails, autonomy levels … inclusion is a key part of this; it helps us better serve our customers, employees, and business partners from every background. We are constantly learning and striving to do better, and we expect all staff to actively take part in this process. We will not be offering UK work ...

marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation.· Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data· Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely ...

strong track record of hands-on execution and delivery in complex data environments. Deep practical understanding of the database ecosystems that power AI and machine learning infrastructure (e.g., Vector databases, NoSQL, and Document stores).Hands-on experience building, scaling, and shipping large-scale data platforms in production. Deep ...

ambiguous, high-impact technical and commercial problems. Willingness to travel to client sites when required. Bachelor's or Master's degree in Computer Science, Machine Learning or a related technical discipline. Desirable Experience The following would be advantageous: Experience within healthcare, life sciences, pharmaceuticals or biotech , including clinical ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

configurations and content managed through Infrastructure-as-Code and DevOps principles. AI – Drive the adoption of emerging AI capabilities across security operations, leveraging machine learning, generative AI, agentic workflows, and Retrieval-Augmented Generation (RAG) to enhance analysis, automate decision-making, and accelerate security response. As the successful candidate ...

What you'll do Own the technical direction of assigned CODAS research tracks, from framing the problem to validating the results. Design and build ML approaches for privacy-preserving generative AI, including differential privacy, federated learning, secure inference, and related techniques. Turn research into proof-of-concept systems … Publish, contributing to papers, technical reports, and conference talks that put the Lab's work in front of the wider AI community. Mentor other ML scientists and research associates working alongside you on the programme. Work directly with partner organisations to understand real technical constraints, not just theoretical ones. What ...

responsible for building and operating the data foundations that support a wide range of customer-focused use cases, including Customer 360, analytics, AI/ML, marketing and data-driven commercial initiatives . This is a hands‐on engineering role for someone who enjoys solving complex data problems, building scalable solutions … data ingestion and transformation pipelines for high-volume customer data. Develop robust, reliable and production‐grade data solutions supporting Customer 360, analytics, AI/ML, marketing and commercial use cases . Contribute to solution design and technical architecture , taking a holistic view of systems, integrations, dependencies and potential risks. Build ...

forecasting and predictive solutions. The team owns the production services behind forecasting, scoring, and data processing, along with the pipelines and infrastructure that bring ML and AI capabilities to enterprise customers. As a backend engineer, you will build and maintain core services across this stack, writing clean, well-tested Python … attention to performance, reliability, and code quality. Write clean, well-tested, maintainable Python and follow established engineering best practices. Work with data scientists and ML engineers to integrate models into production services and support the pipelines around them. Participate in code reviews and design discussions, and incorporate feedback to grow ...

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 ...

accelerate delivery and improve developer productivity Partner with business and technology teams to rapidly prototype and deploy analytics and tooling, leveraging AI/ML and innovative approaches Implement and manage platform controls, including access, security, and compliance, ensuring all data and AI solutions meet firmwide SDLC standards Provide transparency … with data lineage tools and techniques, including graph & vector databases and metadata management platforms Hands-on experience with LLM Ops, MLOps, and AI/ML platform deployment at scale Familiarity with business-led analytics delivery models and rapid prototyping frameworks Experience with AI/ML governance, prompt engineering, and integrating ...

shape the technical foundation that underpins our retail media platform at scale. You'll partner closely with data scientists, analytical engineers, product managers, and ML engineers to turn complex data challenges into reliable, scalable production systems. We're building a lot: a TopRank Sponsored Listings data platform on BigQuery … best practices across the team: CI/CD, testing, observability, data drift monitoring, and incident response using tools like Grafana and Datadog. Collaborate with ML engineers and data scientists to productionise models and agentic tooling built on internal AI platforms, with hands-on use of AI-assisted development tools such ...

support business approvals + security considerations). Be the AI champion/evangelist within the tech team. You will set reference architectures for predictive ML, generative AI, RAG, and agentic systems; choose platforms and patterns teams can reuse; and hold the line on quality, governance, and operational readiness. The role … Competence Required experience: Azure AI Azure Foundry/Foundry IQ/AI Hub Computer Vision Document Intelligence Text Analytics Speech Services Translation Services Python ML/LLMs C# .Net Standard/C# .Net Core/C# .Net SQL Server Preferred but not essential experience: Unit testing and integration testing Microservices ...

data products that make the most of Trainline's extensive datasets and the latest algorithmsBuild tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflowsProvide technical mentorship and support the development of less experienced engineers, without formal people management responsibilityTake an active role … ML community, helping foster a culture of rigorous learning and experimentationWe'd love to hear from you if you have... An advanced degree in Computer Science, Mathematics or a related quantitative discipline, or equivalent experienceConsiderable experience productionising machine learning models, with strength in an area such ...

Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without acting as the hands-on architect. Cloud … Technical Oversight End-to-End Data Programme Delivery: Drive the full lifecycle of complex data initiatives (Data Lakehouses, Data Mesh, Real-time Streaming, and ML/GenAI pipelines) from inception to production, ensuring alignment with GlobalLogic’s Delivery Framework and client governance. Architecture & Technical Alignment: Bridge the gap between ...

Data & AI Architecture Fluency: Deep understanding of modern data stacks (Data Lakehouses, Data Mesh, Real-time Streaming, ETL/ELT pipelines) and AI/ML lifecycle management (MLOps, GenAI integration, Model Governance). Ability to challenge architectural patterns and supervise technical teams without acting as the hands-on architect. Cloud … Technical Oversight End-to-End Data Programme Delivery: Drive the full lifecycle of complex data initiatives (Data Lakehouses, Data Mesh, Real-time Streaming, and ML/GenAI pipelines) from inception to production, ensuring alignment with GlobalLogic’s Delivery Framework and client governance. Architecture & Technical Alignment: Bridge the gap between ...

products that make the most of Trainline's extensive datasets and the latest algorithms Build tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflows Provide technical mentorship and support the development of less experienced engineers, without formal people management responsibility Take an active role … ML community, helping foster a culture of rigorous learning and experimentation We'd love to hear from you if you have An advanced degree in Computer Science, Mathematics or a related quantitative discipline, or equivalent experience Considerable experience productionising machine learning models, with strength in an area ...

environments. Experience with cloud platforms such as Azure, AWS or GCP. Understanding of cybersecurity for connected devices and IoT systems. Exposure to AI/ML technologies and data-driven applications. Experience with mobile, web, IoT, Embedded Linux, Python, FPGA or MATLAB development. Why Join Us? You'll have the opportunity ...

Code (Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes‐based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well‐structured datasets. Participate in code reviews and internal knowledge‐sharing sessions. Provide guidance to junior engineers where ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. RequirementsKey Responsibilities: Develop Data Engineering solutions ...

enabling our teams to be involved in different and varied projects and audit analytics delivery including bespoke and standardised data analytics, governance, advanced (AI-ML) analytics, end-user tools development and support, as well as robotic process automation (RPA) services. About The Role The role of an auditor ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

researchers utilise complex datasets more effectively. Engineer trusted, analysis-ready biological data solutions for computational biologists , statistical geneti sists , data scie ntists , AI/ML engineers in the context of target & biomarker discovery Build and operationalise Omics data products and analytical workflows across transcriptomics, single-cell omics, CRISPR/functional ...

deadlines- Master's Degree in Applied Linguistics, Computational Linguistics, Natural Language Processing (NLP), or related field.- Experience with Large Language Models, NLP, or Machine Learning.- Experience with Python libraries for data analysis such as pandas and scikit-learn.- Familiarity with AI coding assistants. Preferred qualification - PhD in Applied Linguistics ...