Top Python Jobs in London

The role involves production and oversight of P&L statements, fund financials, coordination with auditors, and supporting strategic projects in product control.

The job involves supporting computational drug discovery for antibodies, evaluating candidates, integrating insights, and collaborating with teams.

As an Advisory Systems Engineer, you will advise clients on maximizing their Arista investments, focusing on operational optimization and driving technology adoption while building strategic customer relationships.

The Network Systems Engineer provides pre-sales technical support, architects networking solutions, conducts presentations, and leads RFP responses for Public Sector customers.

As a Senior Software Engineer, you will develop web and desktop applications, guide projects, mentor junior engineers, and ensure high-quality code delivery.

The role involves designing clinical development programs, conducting statistical analyses, and ensuring evidence aligns with global strategies for Access and HTA needs.

As a Mission Operations Engineer, you'll deploy and integrate Nominal’s technology, enhance user experiences, provide training, and resolve operational challenges while building relationships with clients.

The Generative AI Engineer will design and implement AI solutions, focusing on model fine-tuning, prompt engineering, and secure deployment, while collaborating with cybersecurity specialists.

The role involves designing, developing, and supporting cloud and AI solutions primarily on Azure, including automation and integration components, while ensuring security and compliance.

The role involves collaborating with researchers and traders to design datasets, developing data pipelines, and optimizing data extraction processes.

As a Full-Stack Senior Software Engineer, you'll build and evaluate systems for a Generative AI assistant, working on data pipelines, APIs, and user-facing features while ensuring quality and compliance.

The role involves automating data centre processes, integrating vendor APIs, and collaborating with engineering teams to enhance a high-performance research platform.

Develop and maintain high-performance C#/.NET applications for equity derivatives technology risk. Design, implement, and test scalable, low-latency financial systems; perform performance profiling and optimization; build comprehensive unit tests; integrate messaging systems and CI/CD; troubleshoot and resolve code and performance issues while collaborating with global engineering and product teams.

Develop ML-based models for alpha generation using high-frequency data, maintain data pipelines, optimize model performance, and collaborate with teams.

Lead a team of data platform engineers, manage delivery and development of data solutions, and oversee the data infrastructure enhancements.

The Data Platform Engineer will scale and modernize the data lakehouse, build data products, write ETL processes, and support analytics across the business.

As an Equity Sector Specialist, you will provide research support, analyze industry data, create visualizations, and collaborate with global sector specialists.

The AI Scientist will develop tailored AI solutions for pharmaceuticals, fine-tune LLMs, design AI frameworks, and lead projects. Responsibilities include data transformation, creating proofs of concept, and mentoring team members.

The AI Software Engineer will develop backend services, AI components for monitoring, and maintain data pipelines while collaborating on system insights and reliability improvements. This role necessitates software development experience with AI/ML applications.

The Product Data Science Manager leads a team to deliver custom data insights, ensuring analytical excellence and client impact while collaborating with various stakeholders.

Design, build, and maintain Power BI dashboards and automated workflows using Microsoft Power Platform and ServiceNow. Write and optimize SQL for Snowflake and other databases, perform data validation and lineage, support Workday/ServiceNow integrations, provide go-live support and troubleshooting, and uphold data management and governance practices across corporate and client-facing teams.

Join PJT Partners Technology to design, build, maintain and optimize Anaplan models, dashboards, UX and integrations. Gather stakeholder requirements, support Workday reporting, mentor model builders, automate workflows (Power Automate, Copilot Studio), and expand skills across Azure Data Factory, ServiceNow and other tools while partnering across Technology and corporate functions.

Build, deploy, monitor and recalibrate credit risk machine learning models; perform data extraction, wrangling and feature engineering; detect data/model drift; improve decision explainability; optimise data pipelines and partner with product, engineering and operations to implement lending, acquisition and affordability strategies.

Build and maintain full-stack trading tools for systematic and credit portfolio trading. Collaborate with traders, quants, and product to define requirements, implement features (portfolio optimization, P&L analysis, recommendations), ensure production stability, and enable rapid, trader-friendly tooling using Java, Python, React, containerized deployments, and CI/CD.

Build and maintain Python services that automate finance and operations workflows. Deliver features end-to-end, write tests, participate in code review, support production systems, collaborate with Finance/Operations stakeholders, and grow ownership of components toward senior responsibility.