26 to 50 of 80 Predictive Analytics Jobs in London

practices that embed technology-driven approaches into daily operations and long-term asset management. Lead the continuous improvement agenda, utili s ing building data analytics and performance insights to drive optimi s ation across all engineering disciplines. Create and maintain the strategic roadmap for technology adoption, system upgrades … ation becomes second nature. Technology Integration & Innovation Champion the adoption and optimi s ation of sophisticated building technologies including advanced BMS, IoT platforms, predictive maintenance systems, building analytics, and energy management solutions. Ensure all engineering activities leverage smart building capabilities for diagnostics, performance monitoring, predictive maintenance ...

please only apply if you have the full, unencumbered right to work in the UK. A large UK organisation with a mature data and analytics function is looking for a Data Engineer to join its central data team. This role will focus on designing, building, and maintaining data products … that enable trusted reporting, analytics, and advanced AI initiatives. Working closely with analysts and business stakeholders, you will transform complex requirements into scalable, well-governed data solutions. Key Responsibilities Design, build, and maintain data models across modern data platform environments, including lakehouse, warehouse, and semantic modelling layers. Develop ...

backlog items across the AIOps product lifecycle. Ownership of high-impact AIOps capabilities, including noise reduction, event management, correlation, anomaly detection, root cause analysis, predictive alerting, and self‐healing remediation. Partner across Operations, infrastructure, SRE, platform engineering, service management, application teams, security, and vendors to operationalize AIOps capabilities … observability, platform engineering, or related enterprise technology roles. Strong understanding of AIOps concepts, including event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics, and automated remediation. Experience defining product roadmaps, managing requirements and backlog priorities, and delivering technical platform capabilities across the product lifecycle. Bachelor ...

migration and modernization of workloads to the cloud. Drive automation and infrastructure‐as‐code practices to improve operational efficiency. Drive AI‐powered FinOps and predictive resource optimization Mentor and guide engineers across teams, raising the overall technical bar. Collaborate with security, networking, and compliance teams to ensure platform meets … automated rollbacks, or service restarts) with built‐in verification and safety guardrails. AI‐Driven FinOps & Resource Optimization: Deep understanding of applying machine learning and predictive analytics to dynamically right‐size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms ...

migration and modernization of workloads to the cloud. Drive automation and infrastructure-as-code practices to improve operational efficiency. Drive AI-powered FinOps and predictive resource optimization Mentor and guide engineers across teams, raising the overall technical bar. Collaborate with security, networking, and compliance teams to ensure platform meets … rollbacks, or service re-starts) with built-in verification and safety guardrails. AI-Driven FinOps & Resource Optimization: Deep understanding of applying machine learning and predictive analytics to dynamically right-size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms ...

cutting‐edge AI solutions that drive intelligent, automated, and forward‐looking decision‐making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep … Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment. Background in forecasting, planning, or analytics applications. Familiarity with Anaplan or similar enterprise planning platforms. Experience with A/B testing and experimentation frameworks for AI features. Contributions to open ...

paradigms, with a clear emphasis on Data Science as the primary discipline for this role: Data Science (Primary Focus): Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes. Generative AI (Secondary): LLM‐powered applications such as RAG pipelines and document … paradigms (e.g. agent‐based systems) is a plus, but not required. We particularly value depth in applied data science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM‐based ...

Scientist to join a global team focused on building real-world data science and AI solutions for Risk & Trading workflows. This role will span predictive modelling, machine learning, and modern AI systems powered by large language models. This is an opportunity to own projects end-to-end, from problem … 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 ...

test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre-existing code to incrementally improve … areas: MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code Data Engineering: including platforms like Databricks for data processing and analytics Building a truly diverse, equitable, and inclusive ...

identify opportunities for AI driven productivity, automation, and experience improvement. Design and implement AI use cases, including intelligent assistants, workflow automation, knowledge retrieval, and predictive insights. Drive adoption and change management, including training, communications, and user readiness activities. Establish governance frameworks for responsible AI usage, data protection, and compliance … JAMF) and how AI enhances device experience. Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks. Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow. Experience delivering AI focused change ...

capabilities 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 ...

capabilities 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 ...

channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring : Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics : Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring ...

identify opportunities for AI driven productivity, automation, and experience improvement. Design and implement AI use cases, including intelligent assistants, workflow automation, knowledge retrieval, and predictive insights. Drive adoption and change management, including training, communications, and user readiness activities. Establish governance frameworks for responsible AI usage, data protection, and compliance … JAMF) and how AI enhances device experience. Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks. Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow. Experience delivering AI focused change ...

test generation, and documentation Experience building or integrating AI/ML‐powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context‐appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre‐existing code to incrementally improve … Skills MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning ...

test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre-existing code to incrementally improve … building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps MLOps Infrastructure ...

data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA. Our team thrives … relevant information to set them up for success. About You Minimum 12+ years experience in customer-facing roles in the marketing technology or data analytics domain. Minimum 5+ years experience in marketing technology, customer data management, data manipulation, database management, or business intelligence tool configuration and programming. Awareness ...

management; explore AI-driven solutions for signal detection and automated updates.Regulatory Project ManagementProvide strategic oversight for major submissions and regulatory milestonesdevelop project dashboards and predictive analytics for risk managementchampion agile methodologies for faster delivery under submission, excellenceOwn and improve Submission Excellence process & playbook, support IND Excellence projectComplianceSupport inspection ...

TERM CONTRACT) Company description Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data platform help clients measure market share, uncover consumer behavior, and drive growthpowered by six decades of expertise … actionable insights that help clients make informed decisions and achieve measurable outcomes. Collaborate Cross-Functionally: Partner with internal teams (e.g., Client Insights, Product, and Analytics) to deliver integrated solutions and ensure client success. Maintain Industry Expertise: Stay current on trends in retail and general merchandise to position Circana ...

management consulting, AI or technology transformation, product leadership or innovation, supported by hands-on delivery experience. Experience with generative and agentic AI, machine learning, predictive analytics, retrieval-augmented generation and enterprise knowledge systems. Knowledge of data architecture and readiness, cloud AI platforms, enterprise integration patterns, AI governance, security ...

capabilities capture real‐time data and detect surgical events – improving quality of data outputs. The result: ORs are optimised like never before – with predictive analytics and automated notifications ensuring patients and staff are in the right place at the right time. Once practitioners ...

function calling. Machine Learning Expertise: Hands-on machine learning experience spanning model development, evaluation, deployment, and operationalization, with a focus on enterprise AI solutions, predictive analytics, and scalable MLOps practices. Strong programming skills in Python and/or C#/TypeScript, plus working fluency with at least ...

traders make complex risk decisions, model markets, and bring trading strategies to life every day. As a markets and trading expert, you’ll use predictive analytics and sophisticated statistical techniques to monitor risk, respond to market signals and develop trading strategies across Options, ETFs, Equities, Fixed Income, Commodities … using one of the industry’s most powerful trading platforms Conceptualize valuation strategies, develop, and continuously improve upon mathematical models. Design, build, and implement predictive models to generate novel trading signals. Use unconventional data sources to drive innovation. Conduct research and statistical analysis to build and refine monetization systems ...

Role Grade Level (for internal use): 11. The AIOps team is responsible for modernizing IT operations through intelligent observability, event correlation, anomaly detection, predictive insights, and automation. They partner with AIOps vendors, IT Operations, infrastructure, platform engineering, SRE, service management, and application teams to reduce operational noise, improve service … visibility across cloud, on‐premises, and hybrid environments. Implement AIOps use cases, including noise reduction, event deduplication, correlation, anomaly detection, root cause analysis, and predictive alerting. Partner with engineering teams to build automated remediation and self‐healing workflows integrated with observability and ITSM platforms. Evaluate, implement, and optimize AIOps ...

tooling and trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy systems with short and long‐term business needs … building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps MLOps Infrastructure ...