1,251 to 1,275 of 4,220 Analytics Jobs in the UK

container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering Strong knowledge of real‐time streaming (Kafka/Pulsar), batch analytics, MLOps, model governance, and responsible AI patterns Security and resiliency expertise: zero trust, secrets management, identity, encryption, chaos engineering, disaster recovery, and site reliability practices Integration ...

data culture” and demonstrating the value of data in our decision making. Lead our efforts to develop the data science (and broader customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven ...

DESCRIPTION As a Senior Lead Software Engineer in Data Platforms within the Chief Data and Analytics Office, you will lead a squad of engineers focused on enhancing the firmwide data catalogue system, Fusion. You will help teams across the globe access data efficiently, applying your technical expertise and engineering mindset ...

production delivery, working closely with stakeholders, engineers, and technology teams to deliver scalable, product-grade solutions. Key Responsibilities Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI. Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such as LangChain ...

where relevant (e.g. data lineage, governance, feature management, and model integration patterns). Collaborate with wider technical teams to define integration approaches for predictive analytics, generative AI services, or model-driven systems. Recognise and address architectural implications of model lifecycle management (versioning, replicability, and auditability). Client & Stakeholder Engagement Support ...

where relevant (e.g. data lineage, governance, feature management, and model integration patterns). Collaborate with wider technical teams to define integration approaches for predictive analytics, generative AI services, or model-driven systems. Recognise and address architectural implications of model lifecycle management (versioning, replicability, and auditability). Client & Stakeholder Engagement Support ...

Python, Tableau, Power BI - the full analyst toolkit 8 to 10 real-world industry project simulations - actual analyst work, not theory AI-assisted analytics training - the fastest growing skill in data right now Weekly live practical sessions with industry mentors 1-to-1 mentor support throughout CV, LinkedIn, and interview ...

Python, Tableau, Power BI - the full analyst toolkit 8 to 10 real-world industry project simulations - actual analyst work, not theory AI-assisted analytics training - the fastest growing skill in data right now Weekly live practical sessions with industry mentors 1-to-1 mentor support throughout CV, LinkedIn, and interview ...

Python, Tableau, Power BI - the full analyst toolkit 8 to 10 real-world industry project simulations - actual analyst work, not theory AI-assisted analytics training - the fastest growing skill in data right now Weekly live practical sessions with industry mentors 1-to-1 mentor support throughout CV, LinkedIn, and interview ...

Python, Tableau, Power BI - the full analyst toolkit 8 to 10 real-world industry project simulations - actual analyst work, not theory AI-assisted analytics training - the fastest growing skill in data right now Weekly live practical sessions with industry mentors 1-to-1 mentor support throughout CV, LinkedIn, and interview ...

enabled workflows or innovative engineering methods. Degree in Engineering, Construction, Architecture, Digital Engineering or a related discipline, or equivalent practical experience. Understanding of data analytics, automation, AI-assisted & generative engineering workflows or model-based delivery techniques. ...

helped organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work in digital engineering, data and analytics, cloud, and AI/ML, building practical, scalable solutions grounded in real business needs and human impact. We support clients across high tech, financial services ...

data culture” and demonstrating the value of data in our decision making Lead our efforts to develop the data science (and broader customer analytics) “brand” at Kingfisher for both internal and external audiences Proven experience delivering high-quality AI-based products and productionisation of Machine Learning based products Proven experience ...

SLAs. Lead the design of secure cross‐account IAM patterns for model consumption. Own end‐to‐end telemetry design, including scoring metrics, latency, error analytics, and SLOs. Partner with platform teams to optimise cost, scale, and reliability of inference endpoints. Monitoring, Drift Detection & Observability Define observability standards for feature drift ...

orchestration with AKS and Docker (design, scaling, network and security). API Management. App Services and Azure Functions. Observability using Azure Monitor, Log Analytics and Application Insights, Prometheus and Grafana. Implementation of governance and compliance controls using Azure Policy, Management Groups, and Landing Zone principles. Azure SQL and Managed Instance. ...

lineage, observability, and reference data management, ensuring data is consistent and explainable. This quality-first foundation makes data the engine of trust, powering AI, analytics, and operations with confidence. Recognized as a Leader in the 2026 Gartner Magic Quadrant for Augmented Data Quality and positioned furthest in Completeness of Vision ...

risk management, and decision-support frameworks. Ability to interpret financial performance within a broader strategic and operational business context. Familiarity with emerging technologies, automation, analytics, or AI-enabled processes and their impact on business and finance operations. Advanced financial modelling, forecasting, and scenario-planning capabilities. Strong analytical, problem-solving ...

applied machine learning, foundational research, and seamless ML operations, the team harnesses data to revolutionize the online gambling and sports betting experience. From predictive analytics and personalization to fraud detection and real‐time recommendations, the team transforms complex data into actionable insights that enhance customer engagement, trust, and satisfaction. ...

applied machine learning, foundational research, and seamless ML operations, the team harnesses data to revolutionize the online gambling and sports betting experience. From predictive analytics and personalization to fraud detection and real‐time recommendations, the team transforms complex data into actionable insights that enhance customer engagement, trust, and satisfaction. ...

conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Working within the Data Analytics team you will be responsible for applications that store large amounts of cross‐asset market data using KDB technology for real‐time and historical access. ...

container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering Strong knowledge of real‐time streaming (Kafka/Pulsar), batch analytics, MLOps, model governance, and responsible AI patterns Security and resiliency expertise: zero trust, secrets management, identity, encryption, chaos engineering, disaster recovery, and site reliability practices Integration ...

skills, with the ability to influence across Product, Engineering, Operations, and senior leadership Proficiency in data analysis and reporting tools; experience with SQL and analytics platforms (e.g., Looker, Sigma, Hex) is a plus 🎁Benefits Generous Holiday and Time off Policy HealthInsurance options including Medical, Dental, Vision Work From Home Support ...

Adept at facilitating workshops and collaborative sessions to drive alignment and innovation. Nice to have Proven record in conducting user research for advanced data analytics platforms What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards ...

Assistant Director, Artificial Intelligence, London Job Title: Assistant Director, Artificial Intelligence Reports to: Senior Director, Digital Transformation, Analytics Location: London Job purpose This is a hands‐on role. The successful candidate will architect and build production AI systems directly, while owning delivery, quality, evaluation, and partner management across ...

support, responsiveness under load). Experience with localization/globalization, right‐to‐left UI support, internationalization, accessibility for multiple regions. Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications. Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications. Demonstrated ...