Top Python Jobs in London

Develop pre-silicon models for AI hardware, support software development, and collaborate on architecture and performance evaluation.

As a Senior Simulation Engineer, you'll build a QEMU-based functional simulator for AI accelerator hardware and collaborate with engineers to ensure software correctness and system-level performance.

The Senior ML Runtime Engineer will integrate AI acceleration hardware with open source projects, develop high-performance Rust runtime, and collaborate on hardware-software design.

Responsible for implementing complex IC physical designs, collaborating with teams to optimize performance, power, and area while ensuring design integrity and manufacturability.

The role involves optimizing ML kernels, building low-level control paths, and collaborating with various teams to enhance performance.

Develop cutting-edge AI accelerator solutions by improving developer workflows, managing CI/CD pipelines, optimizing Bazel builds, and extending system support.

As a Deployed Software Engineer, you will implement technology with customers, gather feedback, and collaborate on product feature development, requiring travel to diverse locations.

As a Deployed Software Engineer at Arondite, you will implement technology with customers, travel to client sites, and develop tailored code for their needs while collaborating with the engineering team.

Lead and architect an area of the enterprise product, write production code, mentor and manage engineers, conduct code reviews, own technical decisions, collaborate with PMs/designers, promote security best practices, and contribute to roadmap and stakeholder communication.

Design, develop, test, deploy, document, and maintain Python automation solutions for enterprise finance reporting. Maintain 500+ automations, review team code, mentor junior engineers, coordinate with business stakeholders, research AI and Python libraries, lead POCs for AI/agent tools, and advance Reporting CoE governance and sustainability.

As a Sports Betting Trading Analyst, you will analyze and improve automated sports betting strategies, collaborate with software engineers, and perform data analysis to enhance trading algorithms.

As a Junior Business Analyst, you will develop dashboards, produce performance reports, analyze risks, support AI projects, and collaborate across teams.

Develop stock selection signals, maintain models, research factors, enhance infrastructure, and assist in portfolio management while communicating findings.

As a Senior Python Scraping Engineer, you will create large-scale web scraping systems, focusing on reliability and overcoming complex scraping challenges, particularly from Google. Key responsibilities include building scrapers for dynamic environments, managing data extraction pipelines, and collaborating with data teams to ensure data accuracy.

Lead administration and roadmap for BI tools (Domo, Tableau); build advanced dashboards with custom code; automate ETL with Airflow and Jenkins; use SQL, Python, and Java; apply AI to speed development; train and mentor analysts and ensure high-quality, user-focused data visualizations.

The role requires developing ML and quantitative systems using financial time series data, deploying models, and improving signal evaluation for investors.

Lead and grow an MLOps engineering team to productionise, deploy and operate scalable ML and AI products (batch and online), define MLOps tooling and processes, ensure observability and reliability, and partner across engineering, data and product to drive maintainable, impactful ML systems.

Lead the Risk Platform Operations team to ensure accurate and timely delivery of portfolio risk analytics, mentor junior members, and enhance data quality controls.

Support actuarial pricing for Property, Political Violence, Political Risk and Credit portfolios: account pricing, model development, portfolio monitoring, data collection, model recalibration, and pricing analytics. Work with underwriters, present findings, and contribute to MI and pricing best practices while receiving IFoA exam support.

As a BI Data Analyst, you will analyze commercial data, assist teams with data queries, track revenue changes, and run tests for product performance.

As a Senior Python Developer, you will innovate solutions for online shoppers, collaborate with teams, and work on scalable products.

The role involves developing distributed systems software in Rust and Python, optimizing performance, reliability, and overseeing large-scale machine learning workloads.

Design and develop data processing software for large-scale solutions, ensuring quality and technical leadership within agile teams.

As a Principal Data Architect, you will design and implement modern data solutions, ensuring data quality and governance while managing architectural direction for engineering teams and guiding clients on data strategy and integration using Google Cloud technologies.

Join the backend engineering team to develop and maintain Elwood's trading infrastructure. Rotate across backend and market connectivity teams, build and enhance features, collaborate with Quants/Product/Algo/Infrastructure, deliver high-quality code across the software development lifecycle, meet fast release deadlines, and apply automated testing and continuous improvement practices in a fintech / digital assets environment.