Top Python Jobs in London

As an AI Deployment Strategist, you'll design and deploy AI-powered planning solutions, interact with clients, and bridge between technical and product teams to drive AI adoption.

The Data Analyst will develop analytics and data models, support business objectives with insights, and maintain data integrity and governance. Responsibilities include collaborating with stakeholders, creating dashboards, and improving data efficiency.

Own and improve transaction enrichment pipelines: form hypotheses, analyze performance with SQL/Python, prototype enrichment experiments using AI/LLMs, run structured evaluations, and partner with Product and Engineering to embed long-term improvements.

The ML Data Engineer will design and manage data pipelines for large-scale unstructured data, primarily images, ensuring efficient ingestion and preprocessing while collaborating with ML engineers for model training.

Lead a small AI-focused engineering team to design, build, and deploy production-grade AI-driven features and services. Contribute hands-on to coding, debugging, testing and integrating ML models into scalable microservice architectures. Define technical direction, tooling, standards, and mentor engineers while collaborating with Product, Architecture, and Data teams.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

Build and maintain backend-first full-stack systems powering scheduling, forecasting and embedded analytics. Ship production APIs, data pipelines and customer-facing features, collaborate with data scientists, engage customers, and iterate on ML-driven forecasting and insights.

As a Senior Platform Engineer at Kainos, you'll design and support components of a digital service platform using modern automation and cloud technologies, collaborating with teams to ensure high-quality delivery and continuous improvement of services.

As a Software Engineer, you'll develop backend services, write smart contracts, improve tools, mentor junior engineers and engage with the developer community.

The Senior Application Developer will create applications on D-Wave's quantum computers, collaborate with stakeholders, and solve complex problems using algorithms in Python.

The Director of Science will guide scientific research in genetics, leading algorithm development and managing a team to enhance MyHeritage's DNA products, impacting user ancestry discovery.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

The Senior Product Engineer will develop back-end services in Python and PHP, manage large technical projects, ensure code quality, and mentor junior engineers while collaborating within the team.

The Lead Technical Project Manager will coordinate security consulting and presales for application security products, engage with clients, and lead strategic discussions to enhance software security.

As a Senior Backend Engineer, you'll develop features using Python and various AWS services, focusing on AI-driven solutions for the insurance sector.

The L3 SOC Analyst leads complex incident investigations, drives automation, mentors junior analysts, and enhances SOC capabilities using advanced security technologies.

Design, implement, and maintain Golang infrastructure services for Confluent Cloud. Ensure availability, performance, and capacity planning of cloud systems while collaborating with engineering teams.

Design and maintain Golang infrastructure services for the Confluent Cloud Platform, ensuring performance, availability, and capacity planning of the service.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Build production-grade trading analytics, real-time pricing/risk systems, backtesting/simulation frameworks, and data pipelines for equity derivatives. Partner with traders, quants and structurers to productionise models, deliver desk tooling, and improve performance, scalability and reliability of quantitative applications.

The role involves developing and maintaining Python micro-services for a proprietary trading platform, collaborating with traders and global teams, and integrating with analytics libraries.

Design, build, and deploy production-grade ML models and recommendation systems, champion LLM use, optimise search and ranking, run A/B tests and statistical evaluations, and collaborate with engineering to integrate models into product infrastructure.

Own first-line governance for UK credit risk processes and controls, ensuring regulatory compliance (FCA CONC, Consumer Duty). Strengthen monitoring, manage operational risk events and remediation, update policies, prepare audit/regulatory documentation, and collaborate with Compliance, Legal, Data Governance and product teams to embed robust controls and drive good customer outcomes.

Customer-facing principal consultant who analyses complex requirements and designs/configures solutions on the INSTANDA no-code insurance platform. Leads configuration delivery, oversees analysts, supports integrations (REST), pre-sales scoping, workshops, training, and troubleshooting while collaborating with product and engineering teams to deliver client implementations.

Build and optimize scalable data infrastructure and pipelines for large time-series datasets, manage high-performance databases, and deliver actionable datasets and tools to support trading strategies and PnL-driven decision-making.