Top Python Jobs in London

The role involves driving exposure management compliance, enhancing reporting and analytics, managing catastrophe risk, and collaborating with underwriters and central functions.

As a Senior Data Scientist, you will develop and deploy machine learning models, collaborate with stakeholders, and mentor team members, focusing on delivering impactful AI solutions within the insurance sector.

The Catastrophe Portfolio Analytics Manager leads catastrophe analytics development, supports risk management and strategic decision-making, and mentors team members for Chubb European Group.

The AI Engineer will oversee AI model lifecycle from training to deployment, ensuring performance and reliability through high-quality Python coding and infrastructure management.

As a Marketing Analytics & Business Intelligence Analyst, you will analyze data for marketing insights, inform product strategies, and drive business growth through analytics and reporting.

The Pricing & Portfolio Insight Product Owner develops loss cost models, conducts statistical analysis, collaborates with teams, and provides insights for strategic decisions in insurance pricing.

Support the Portfolio Management team by monitoring underwriting performance, enhancing data usage, and providing analytical support to improve profitability across regional insurance accounts.

The role involves actuarial pricing, portfolio management, and data analytics support for COG Marine underwriting, including model building, planning, and reporting.

As a Senior Associate in Liquidity Risk, you'll oversee liquidity risk management, develop frameworks, enhance processes using technology, and present analyses to senior leadership.

The job involves designing and managing automated identity and access management processes, implementing integrations, and ensuring security compliance. Responsibilities include lifecycle management, application integration, platform enhancement, and continuous improvement of IAM capabilities.

The role involves data analysis to support strategic decisions, optimizing partner channels for growth, owning reporting infrastructures, and collaborating on data interpretation in a fintech environment.

The Hydrologist role involves designing and maintaining quantitative forecasting tools for hydrological variables, integrating them into power generation forecasts. The role requires strong programming skills and familiarity with hydrological modeling.

As a Solutions Engineer, guide customers through technical relationships, ensuring alignment and feasibility of solutions while collaborating with sales teams to improve retention and success.

The VFX Supervisor will integrate AI and ML into visual effects pipelines, manage teams, and ensure high-quality outputs in projects.

Lead innovative data solutions across various sectors by engaging stakeholders, delivering technical projects, and developing team capabilities while promoting data-driven insights.

Seeking a Data Consultant for innovative data-driven solutions across sectors like rail and energy, focusing on stakeholder engagement and technical project delivery.

Lead the design and implementation of controls analytics solutions for infrastructure projects, ensuring data-driven insights support project risks and performance management to align with client goals.

Lead the AI Engineering squad, driving the design and deployment of production-grade AI systems to enhance business value while ensuring compliance and best practices.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

Build and own end-to-end data pipelines and production code to turn raw data into insights. Ensure reliability through testing, observability, and data quality checks. Collaborate with product, data science, and engineering to ship features and apply AI where valuable.

The Senior Deep Learning Engineer will optimize and deploy models for high-performance inference on GPU platforms while improving inference speed and analyzing workloads.

Lead IT operations and team for a fully remote company: manage service delivery, incident management, governance, vendor relations, automation (scripting), containerized environments, and align IT strategy with business priorities.

As the Head of Machine Learning Engineering, you will define the ML strategy, lead teams, deliver scalable solutions, and shape AI governance for enhanced customer travel experiences.

The MLOps Engineer will build infrastructure for ML systems, improve ML lifecycle processes, and enhance developer experience in a scalable, secure environment.

As a Data Scientist, you will drive insights for product growth, contribute to team metrics, and conduct data-driven experiments to influence business decisions.