Top Python Jobs in London

As Head of Product Engineering, you will lead the engineering team, shape technical strategy, mentor engineers, and drive product evolution while collaborating across functions.

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

As a Sector Analyst for European Equities, you will analyze alternative data, produce research, and support investment professionals in their decision-making processes.

As an ML Ops Engineer, you'll design and maintain ML pipelines, ensure monitoring and reliability of ML systems in production, and collaborate with teams across different regions on GCP infrastructure and ML models.

As a Data Engineer, you will develop and maintain ETL pipelines, manage data infrastructure, and support data-related projects to drive business insights.

The role involves advancing ASR engines, developing AI features, scaling models across GPUs, and researching new TTS techniques in a collaborative environment.

The Infrastructure Support Engineer provides technical support in a mixed environment, focusing on desktop and network setups while learning automation skills, particularly in Python.

Lead the Forward Deployed Engineering team, overseeing AI deployment and production excellence for major enterprise accounts while enhancing team capabilities and organizational standards.

The Senior Solutions Engineer will lead DevOps initiatives, improve infrastructure reliability, define release processes, and collaborate on architectural decisions to enhance automation and performance across the organization.

The Senior Economy Designer will own and optimize player economies and reward systems, ensuring scalability and stability, while collaborating with cross-functional teams to enhance user engagement and retention through data and analysis.

The Software Engineer will develop high-quality responsive UIs for web/mobile, conduct user research, optimize applications, troubleshoot issues, and conduct code reviews.

As a Senior Software Engineer, you'll lead backend and edge/IoT engineering, implement scalable solutions, mentor peers, and collaborate with teams to deliver impactful AI solutions.

Lead Software Engineer responsible for backend and edge/IoT engineering, mentoring teams, designing scalable solutions, and implementing CI/CD processes.

The Technical Solutions Engineer will design and develop integrations between the iVerify platform and enterprise ecosystems, focusing on APIs and customer success.

As a Software Engineer - Platform, you will develop core data and software platforms, designing systems for complex datasets and collaborating with scientists to streamline data usage.

As a Senior Digital Verification Engineer, lead verification planning for digital and mixed-signal designs, innovate verification environments, and mentor junior engineers.

Design and develop software solutions from scratch, collaborating on government projects, and participating in the software development lifecycle.

The Senior Technical Account Manager leads deployment and integration of the Mattermost platform, ensuring client success through technical guidance and relationship management in the UK and Francophone Europe.

The Senior Data & AI Solution Architect will design scalable solutions, engage with clients, oversee implementations, and innovate in the Data & AI field.

The Senior Full Stack Engineer will develop high-performance web interfaces, collaborate with UX designers, work with both front-end and back-end technologies, and mentor junior engineers.

As a Software Engineering evaluator, you will curate code examples and evaluate AI-generated code for efficiency while collaborating with cross-functional teams to enhance AI-driven solutions.

The role involves managing cloud infrastructure, focusing on AWS and Kubernetes, ensuring system reliability, building CI/CD pipelines, and supporting AI workloads. Responsibilities include optimizing production systems, enhancing monitoring, and collaborating with teams to improve developer experience.

Software Engineers at PDT develop and maintain trading systems, risk controls, and post-trade technologies while collaborating with internal users to define requirements and implement solutions.

The VP, Product Data will define product telemetry strategies, build data models, lead analytics initiatives, and ensure governed data products for enhancing user insights, impacting learner outcomes.

Design, build, and maintain scalable ETL/ELT pipelines and modern lakehouse architectures. Optimize data solutions using Databricks, Spark, and AWS. Produce high-quality Python code, data models, and monitoring to ensure data accuracy, reliability, and performance. Collaborate with product teams, troubleshoot complex data issues, and improve infrastructure scalability.