Top Python Jobs in London

The Senior ALM Actuarial Analyst supports ALM management, assists in capital adequacy, and performs quantitative analysis while collaborating with senior actuaries on strategies and compliance.

As a Senior Business Analyst, you will enhance predictive analytics, optimize machine learning models, conduct complex data analysis, and mentor peers.

The Senior Backend Engineer will design and maintain backend services for CI infrastructure, migrate services from Python to Java, and improve developer productivity through enhanced testing and monitoring systems.

Assist in financial reporting and process improvement, support daily reporting, perform financial analysis, and collaborate for accurate outputs.

As a Senior Systems Engineer, you will operate and evolve AI platforms, manage incidents, enforce compliance, and collaborate across teams to ensure effective AI integration and governance.

Design and develop scalable fintech applications, enhance automated underwriting systems, and collaborate with teams to create efficient workflows.

The role involves developing machine learning models for fraud detection, analyzing data, implementing feedback loops, and collaborating on data pipelines.

The Principal AI Engineer is responsible for designing, developing, and delivering advanced software solutions with a focus on AI technologies, ensuring scalability and security.

Lendable seeks a Senior Marketing Data Scientist to analyze marketing performance, drive insights for product innovation, and collaborate with teams to optimize the marketing funnel through data analytics and experimentation. Candidates should have extensive experience with analytical methods, data architecture, and influencing stakeholders.

The Senior Data Engineer will design, build, and maintain data solutions for SwapClear, focusing on data management and utilisation, while participating in Agile development processes.

The Senior Research Scientist will conduct high-impact AI safety research, lead evaluations and red-teaming projects, and support academic publication efforts in applied AI safety.

The Lead Software Engineer will lead customer projects, customize and scale AI solutions, and mentor engineers while ensuring technical excellence.

The Data Research Analyst will support content creation by conducting competitive analysis, overseeing data quality, and coordinating with research teams to deliver insights on financial products, particularly in lending services.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, contribute to software development phases, and mentor other engineers.

This role involves providing trading insights, building reporting tools, managing software infrastructure, and aligning with business objectives.

Develop and enhance high throughput, Linux-based services within a core pricing and risk platform. Collaborate with traders and quants, focusing on low latency and distributed systems in C++ and Python.

As a Crypto Risk Manager, you will manage risk reports, analytics, and monitor trades, ensuring data accuracy and developing a risk management framework for digital assets.

As an IAM Engineer, you'll manage privileged access, deploy PAM tools, implement secrets management, enforce access controls, and ensure compliance with security standards.

Develop and apply machine learning solutions for autonomous driving, collaborating with teams to design, train, and evaluate ML models.

As a Quantitative Strategist, you will model volatility surfaces, support trading teams, analyze risk, and develop parameter models for financial products.

The Data Onboarding Technician will engage with customers and implementation teams to drive data conversion tasks and ensure smooth onboarding to ezyVet's software. Responsibilities include monitoring conversions, prioritizing tasks, and maintaining project tools like Jira.

Conduct applied research in machine learning for autonomous driving, focusing on large deep learning models and their deployment. Collaborate with teams to enhance model performance.

Lead the development and deployment of scalable, production-grade AI systems, ensuring best practices for machine learning. Collaborate with teams and mentor junior engineers.

Lead high-impact AI projects as a Senior Machine Learning Scientist, overseeing teams, mentoring, and ensuring high-quality delivery of bespoke solutions in defense and other sectors.

The Engineering Manager will lead and develop engineering teams, support technical strategy, and ensure effective collaboration and delivery within the company.