14 of 14 Permanent Predictive Modelling Jobs in the City of London

traders, quantitative researchers, and data scientists. The work focuses on building scalable pipelines, enabling real-time analytics, and delivering high-quality datasets used for predictive modelling, machine learning, and systematic trading strategies. This role requires someone who combines strong technical data engineering capability with commercial awareness, capable ...

Scientist to join a growing data team responsible for extracting deeper insights from large operational datasets. The role offers the chance to work across predictive modelling, geospatial analysis, and commercial analytics while collaborating closely with stakeholders across the business. Key Responsibilities • Build and deploy predictive models using ...

want to build predictive models that directly shape commercial strategy? Have you delivered machine learning solutions that moved real business metrics? Are you ready to be the first dedicated Data Scientist in a growing analytics function? A London-based strategic sourcing and supply chain business, backed by two global … highly regulated environment, the organisation plays a critical role in optimising pricing, supplier strategy and risk management at scale. They are now investing in predictive modelling to drive smarter commercial decisions across sourcing and operations. This Senior Data Scientist role offers genuine ownership. You will lead the development ...

with researchers and investment teams to onboard new datasets, build and maintain robust data pipelines, and transform raw data into structured features used in predictive modelling. The role also involves collaborating with external data vendors, monitoring data quality, and developing automated checks and reporting to ensure reliability ...

code Startup-ready: resourceful, comfortable with ambiguity, bias to action Bonus: Experience in women's health, digital therapeutics, or regulated healthtech Deployed LLMs or predictive models in production environments Familiarity with FHIR, HL7, or secure health data pipelines Hands-on LLM work: prompt engineering, RAG, fine-tuning (LoRA/ ...

technology estates. Key Responsibilities AI Engineering & Delivery Design, build, and deploy production‐grade AI/ML solutions , including: LLM‐enabled applications (RAG, agents, copilots) Predictive models and intelligent automation AI services embedded into modernised platforms Own end‐to‐end AI lifecycle : discovery, PoC, productionisation, monitoring, and optimisation Implement MLOps ...

deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas ...

reporting needs, maintaining and improving the web data structure, providing recommendations to management to improve marketing campaign performance. Running statistical analytics and predictive models to identify new areas to optimize or target; work closely with marketing management to measure our testing programme. The Day-to-Day: Oversee assigned complex ...

sharp customer behaviour, ensuring market integrity and contributing to effective risk management strategies Test and provide feedback on new sportsbook features, trading tools, and predictive models. Analyze market movements, betting behaviour, and competitor offerings to ensure price accuracy and competitive positioning. Collaborate with cross-functional teams including Trading, Data ...

data. Government and Enterprise: The role will involve applying data and AI capabilities to complex challenges where insight, precision, and scale are essential. From predictive modelling to operational optimisation, the Director’s oversight will help organisations make data-driven decisions that deliver measurable public and commercial value. This ...

commercial activity. Maintain seamless links between the CRM, website, and various marketing tools to ensure data flows correctly. Identify and test innovative tools, including predictive modelling, to drive commercial value. Create clear reports and dashboards that help teams evaluate performance and make informed choices. Assist and train colleagues ...

will design, deploy, and scale AI-driven solutions using modern foundation models and AWS-native machine learning infrastructure. From LLM-powered agents to predictive models embedded in automated workflows, your work will directly influence business operations at scale. You’ll operate at the intersection of modelling, engineering … intelligent automation. 🌐 What You’ll Do 🧠 Model Development & AI Systems Design Design and train predictive models using AWS SageMaker Develop LLM-powered systems via AWS Bedrock (including Claude integration) Build RAG pipelines combining structured and unstructured data Develop evaluation frameworks for accuracy, bias, and robustness Apply best practices ...

prevent avoidable hospitalizations and transform senior‐care operations. Our Circadia Intelligence Platform combines: Contactless sensing that monitors respiration and motion with medical‐grade accuracy Predictive analytics & agentic AI workflows that detect 85 % of preventable rehospitalizations ~11 days in advance Enterprise integrations that embed insights directly into EHR, care‐coordination … that power our clinical monitoring platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams ...

business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing … models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across the product suite Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating ...