Top Python Jobs in London

Join a small AI startup solving email problems, requiring deep experience in software, AI/ML, product intuition, and startup culture.

The Lead Data Scientist will drive data science initiatives at Fyxer, building predictive models, maintaining data infrastructure, and fostering data-driven decision making across teams.

Develop and improve the trading platform focusing on C++ and Python, enhancing performance, scalability, and data infrastructure.

The Core Developer will focus on creating and maintaining systems for trading activities, including data capture, reconciliation, and automated settlement, primarily using Python and some C++.

The Machine Learning Engineer will research algorithms for networking, develop ML infrastructure, maintain documentation, and assist in technical communication.

Develop algorithms for wireless communications, manage radio resources, and collaborate on system optimization, requiring in-depth technical knowledge and communication skills.

The GenAI Engineer will design and develop AI agents, enhance existing ML systems, manage cloud infrastructure, collaborate on features, and present to stakeholders.

Design, build, and operate low-latency multi-agent LLM systems. Ensure high-quality real-time communication and optimize prompt programming and retrieval processes.

The Platform Engineer will build and enhance the internal technology platform, focusing on automation, collaboration, and continuous improvement while applying DevOps and SRE principles.

The Staff AI Engineer will build AI agents, design ML models, engineer data pipelines, and enhance automation in financial workflows.

The Staff Machine Learning Engineer will develop and deploy scalable ML models, mentor junior engineers, and contribute to technical strategy.

As a Data Scientist, design experiments, build predictive models, and provide actionable insights to improve marketing and sales efforts, focusing on small business growth.

Lead client integrations while managing Integration Engineers, driving process improvements, and collaborating with data teams to ensure efficient integration and data quality.

The Forward Deployed Engineer leads customer-facing deployments of AI models, building full-stack systems, scoping work, and delivering value under ambiguity. They ensure quality delivery and share feedback to influence product improvements.

As a Senior Pricing Actuary, you'll lead pricing transformation discussions with clients, develop pricing models, influence strategy, and drive AI-enabled workflows.

As a Senior Pricing Actuary, you will lead transformation in pricing strategy, partner with stakeholders, and contribute to innovation in actuarial practices, focusing on AI and modern workflows.

Cloud Engineers at Faculty build scalable Cloud Infrastructure for data and machine learning workflows, collaborating with technical teams and customers.

The Credit & Commercial Manager will lead the pricing strategy, utilizing analytics and insights to optimize performance and enhance the customer journey in the motor finance sector.

The Credit & Commercial Senior Analyst will optimize pricing strategies and improve business performance by leveraging strong analytical skills and data insights. Responsibilities include defining strategies, collaborating cross-functionally, and continuously monitoring market trends.

The Senior Machine Learning Engineer will lead the deployment of ML models, design scalable systems, mentor team members, and collaborate with customers to solve engineering challenges.

This role involves developing and deploying machine learning models for fraud detection, collaborating with teams to ensure customer safety and business impact.

As an Anti-Cheat Engineer, you will work on securing games from cheats and exploits, collaborating with teams to implement security measures and tools.

As a Cheat Software Analyst, you will analyze software vulnerabilities, implement anti-cheat solutions, and collaborate with teams to enhance game security.

As a Forward Deployed Software Engineer, you will build and deploy applications using physics AI models to solve complex engineering problems, collaborating with cross-functional teams and directly engaging customers for feedback.

As a Data Engineer intern, you will develop data processing pipelines, collaborate with professionals, and create cloud-based infrastructure for investment insights.