Top Python Jobs in London

As a Senior Data Platform Engineer, you will design and operate a scalable data platform, support analytics, mentor junior engineers, and drive technical excellence.

Lead Machine Learning Engineer to oversee AI projects, guide technical direction, manage teams, and innovate in building scalable ML systems.

Lead the development and deployment of scalable AI systems, mentor junior engineers, and collaborate with teams to solve client challenges.

The Senior Customer Solutions Engineer will enhance customer integration with AI solutions by collaborating with sales, providing technical expertise, and supporting seamless workflow implementations.

As a Software Engineer in the Core AI team, you will design and operate AI model serving infrastructure, build centralised servers, and improve developer experiences through secure, scalable platforms.

The Lead Network Operations Engineer will manage network performance, security, and automation, responding to incidents, and enhancing operational processes through improved observability and efficiency.

Develop and own high-fidelity computational plasma models for semiconductor etching and deposition, validate simulations against process data, collaborate with Data Scientists/ML engineers, work onsite with customers to scope challenges, integrate simulation into AI workflows, lead projects and mentor juniors, and travel globally to deliver solutions.

As a kdb+ Developer, you'll work on trade surveillance projects, collaborating with business users, developing client applications, mentoring junior developers, and analyzing data to create client reports.

Lead Sotheby's engineering organization and own technical strategy across client-facing platforms and core transactional systems. Hire and develop senior engineering talent, set architecture and engineering standards, drive cross-functional delivery and CI/CD practices, ensure 24x7 operational reliability, and represent engineering to executive leadership and the board.

Develop and enhance Neo4j Graph Analytics for Snowflake, focusing on SQL-facing APIs, build pipelines, and improving security while collaborating with clients.

The Client Platform Specialist supports hardware setup and configuration, provides technical support, and develops automation solutions in a fast-paced environment.

As a key member of the Market Access team, you will build market access systems, handle trading gateways, and collaborate with various teams at QRT.

Create predictive signals by analyzing large datasets, identifying statistical patterns, and discussing methodologies with researchers.

As a Senior DevOps Engineer at Scribe, you will design and optimize AWS cloud infrastructure, manage CI/CD pipelines, and support product development while ensuring reliability and performance of services.

Lead architecture and technical direction for DEMS, designing scalable, secure backend services and integrations. Mentor engineers, drive reliability, observability, performance improvements, and cross-team solutions. Contribute code in high-leverage areas and partner with product and design to deliver mission-critical, production-grade systems.

You will design and implement low-latency trading systems, optimize system performance, and ensure reliability at scale within the Core Trading Platform team.

This role focuses on maintaining system reliability and performance, implementing automation tools, and collaborating with teams to optimize operations within QRT.

As a Front Office Quantitative Developer, you will enhance quant technology for algorithmic trading, collaborating with traders and quants to support 24/7 strategies.

Deliver analytics of trading data, develop reports/tools for risk management, and contribute to portfolio management and strategic analysis.

Develop and enhance core technology for systematic trading, including front-office systems and automation of trading strategies. Collaborate with traders and quants.

The MS Cloud Infrastructure Engineer manages cloud infrastructure deployment, supports operations, coaches junior engineers, and evaluates hardware/software solutions.

Support and advance the application security program: review designs and architecture, advise engineering/DevOps on secure SDLC practices, run static/dynamic scans and manual assessments, triage external pentest and bug-bounty findings, and drive security process improvements.

Design, implement, and ship customer-facing AI features end-to-end. Architect scalable, secure systems for high-volume data and complex workflows. Improve grounding, citations, and evaluation for auditable AI outputs. Collaborate with Product and Design to iterate and optimize latency, cost, and user experience.

Support threat intelligence, incident analysis/response, penetration test coordination, vulnerability scanning and remediation tracking, security tool administration, dashboard maintenance, and adherence to security policies while learning and developing cybersecurity skills.

Design and implement secure cloud-based solutions and DevSecOps practices. Automate security tooling in CI pipelines, perform threat modelling and vulnerability management, support penetration testing, review security outputs, convert findings into actionable work, verify secure architectures, and coach junior team members.