251 to 275 of 2,368 Analytics Jobs in London

pipelines or operational data models Modern data tooling or orchestration platforms Experimentation or A/B testing platforms Exposure to machine learning workflows or analytics platforms Why Join the company? This is an opportunity to build technology that has a direct impact on revenue, customer experience and the future ...

secure, stable, and scalable way. The Execution Services Technology department seeks a DevOps team member to support the latency of Electronic Trading, Data Analytics and Quant environments. The role will be based in London and will involve close collaboration with the London Business and our global partners. Job responsibilities Regularly ...

London, United Kingdom | Posted on 24/03/2026 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Location: London, UK Contract: FTC for 12 months or contract ...

data models and scalable APIs. Leverage data‐driven insights to make informed decisions and drive continuous product improvement. Build a deep understanding of advanced analytics and AI/ML capabilities that can be incorporated into product solutions to enhance and accelerate user value. Required qualifications, capabilities, and skills Experience ...

initiatives. Experience working with executive stakeholders including Directors, and C-suite leaders. Experience in one or more of the following areas: Artificial Intelligence Advanced Analytics Industrial IoT Digital Twins Smart Factory solutions Manufacturing Execution Systems (MES) Manufacturing Operations Management (MOM) Industrial Automation Operational Excellence Digital Transformation Executive-level consulting ...

establish performance metrics, and create a structured approach to product performance. Manage product roadmaps and launch milestones, integrating customer insights, industry trends, and data analytics to optimise user experience. Work with cross-functional teams to shape and implement app product strategies based on user needs and business plans that extend ...

domain to bridge the gap between machine learning, data science, and engineering. What you’ll do Shape the architecture of data products built for: analytics forecasting feature engineering customer behavior insights integration of new data sources Data Transformation & Governance Lead best practices in: data modelling performance optimization governance consistent reliable ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 Fluent in French and English Benefits Generous Holiday and Time off Policy Health Insurance options including Medical ...

including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta ...

establish performance metrics, and develop a structured framework for measuring product performance.Manage product roadmaps and release milestones, incorporating user insights, industry trends, and data analytics to optimize the user experience.Work with cross-functional teams to shape and implement app product strategies based on user needs and business plans that extend ...

sexual orientation, gender identity, genetic information, or any other characteristic protected by law.***USA Job Seekers:***.RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.Our purpose is to benefit ...

initiatives. Experience working with executive stakeholders including Directors, and C-suite leaders. Experience in one or more of the following areas: Artificial Intelligence Advanced Analytics Industrial IoT Digital Twins Smart Factory solutions Manufacturing Execution Systems (MES) Manufacturing Operations Management (MOM) Industrial Automation Operational Excellence Digital Transformation Executive-level consulting ...