251 to 275 of 5,522 Machine Learning Jobs in the UK

Strong communication skills for cross-team collaboration Proactive approach to system reliability and performance optimization Continuous learning mindset in rapidly evolving AI/ML landscape Balance of practical engineering rigor with innovative solution development Life @Crypto.com Empowered to think big. Try new opportunities while working with a talented, ambitious ...

Data Lake, Data Catalog (DCAT), Data Warehousing, OLTP, and OLAP, and the treatment of data as a technology asset. Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software engineering disciplines. Hands-on experience with object-oriented software development using languages such ...

standards. Work effectively with engineers, product managers, operations, security, and customer-facing teams. Communicate progress, risks, and technical questions clearly and promptly. Pursue ongoing learning in cloud, data, IoT, and AI technologies. Preferred Qualifications Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform. Experience with Kubernetes, Docker … following areas: Data engineering or data platforms, including ingestion, processing, storage, or pipelines IoT, device connectivity, telemetry, or edge-to-cloud systems AI/ML platforms, model training, model serving, RAG, evaluation harnesses, AI agents, or MCP Familiarity with REST APIs, source control, code review, automated testing, CI/ ...

standards. Work effectively with engineers, product managers, operations, security, and customer-facing teams. Communicate progress, risks, and technical questions clearly and promptly. Pursue ongoing learning in cloud, data, IoT, and AI technologies. Preferred Qualifications Experience with OCI, AWS, Azure, Google Cloud, or another cloud platform. Experience with Kubernetes, Docker … following areas: Data engineering or data platforms, including ingestion, processing, storage, or pipelines IoT, device connectivity, telemetry, or edge-to-cloud systems AI/ML platforms, model training, model serving, RAG, evaluation harnesses, AI agents, or MCP Familiarity with REST APIs, source control, code review, automated testing, CI/ ...

Extra Credit, or The Focus Areas You Will Develop Experience with analytics and risk modeling Experience in a SaaS product development environment Familiarity with ML techniques and statistical data analysis Familiarity with AI/LLM risk and its implications for cyber risk, social engineering, product safety, errors/omissions … specific Competitive salary and unlimited PTO Generous healthcare benefits with medical, dental and vision coverage Monthly catered lunches and happy hours Company-paid learning and development assistance Dependant care assistance plan UK specific Competitive salary, pension and benefits Generous private medical healthcare insurance with dental and vision coverage Extra ...

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 ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business ...

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 ...

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 ...

culture. You are degree-educated or possess equivalent experience demonstrating advanced technical proficiency. Extensive experience in technology delivery or operations within AI engineering, machine learning or data science environments - ideally in regulated industries such as financial services. Proven track record of building custom Generative AI solutions on Azure ...

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 ...

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 ...

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 ...

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 ...

/GCP) and building secure, scalable services. Experience with event‐driven architectures, streaming, and near‐real‐time optimisation. Experience with data science/ML components that complement optimisation (forecasting, demand estimation, delay prediction). Technical skills & tools Optimisation: Gurobi (or equivalent), model libraries/APIs, batching/warm starts, parameter ...

shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will Train, evaluate, and iterate on ML models and agentic systems for customer feedback, including owning our custom fine-tuning pipelines. Run experiments end-to-end, track results rigorously, and make clear … collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor team members, review code and research, and bring relevant advances from the literature into the product. ...

Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next‐generation recommendation and ranking models. Solve complex, non‐linear travel journeys … closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi‐task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid‐level ML scientists. Foster a culture of technical excellence, driving best practices ...

Leadership & Execution: Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical. Translate high-level business goals into concrete ML architectures and scalable production systems. Advanced Algorithm Innovation: Design, prototype, and scale next-generation recommendation and ranking models. Solve complex, non-linear travel journeys … closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously. Act as the primary technical authority for ML initiatives within the Trips vertical. Talent Multiplier: Mentor and coach senior and mid-level ML scientists. Foster a culture of technical excellence, driving best practices ...