Top Python Jobs in London

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

As a Backend Engineer (Data Engineering), design and build scalable data pipelines and infrastructure for processing security data, ensuring reliability and performance.

Lead the development of differentiable CFD solvers for multi-GPU systems. Ensure code reproducibility and scalability in simulations of chemical reactor designs. Validate CFD capabilities and collaborate with AI developers for optimized reactor designs while producing technical documentation.

The Solutions Engineer will work closely with sales teams to strategize and deliver technical expertise, build customer relationships, and showcase Twilio's communications solutions across EMEA.

The Hair Appearance and Array Scientist will develop and apply methodologies for hair appearance measurement while leading global technical teams to enhance product performance.

The role involves designing and developing high-performance real-time trading applications and data services for power markets, working closely with traders and analysts to optimize processes and strategies.

The AI Developer will create AI solutions to enhance business processes, collaborate with teams, analyze data, and build reliable ML pipelines.

The Data Engineer will maintain the data stack, optimize reporting systems, and support business needs through efficient data management. Responsibilities include data modelling, managing ETL processes, and ensuring high-quality data availability.

You will build and ship core systems for Symbolica's AI products, focusing on Python-based solutions across SDK, APIs, and integrations, and collaborating with ML researchers.

The Junior Commercial Strategy Analyst will analyze data to inform business strategies, manage data projects, build reporting, and communicate insights to stakeholders.

As a Senior Data Engineer, you will enhance data infrastructure, optimize data processes, and support analytics for decision-making across teams.

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

The Staff Data Scientist will lead high-impact data science initiatives, develop advanced models, mentor others, and ensure responsible AI practices to drive business value.

Lead AI and machine learning initiatives, mentor data science team, design enterprise solutions, and drive measurable impact in financial services.

As a Senior Machine Learning Engineer, you'll design, build, and scale machine learning systems, developing production-grade pipelines and collaborating with engineers and data scientists.

As a Staff Machine Learning Engineer, you'll design and deploy ML systems, lead projects, ensure MLOps best practices, mentor engineers, and collaborate across teams to drive enterprise innovation in AI.

As a Senior Data Scientist, you'll design and implement data-driven models and analyses to address business challenges and enhance productivity. You'll collaborate with a team to develop predictive models, conduct data analysis, and create visualizations while staying updated with emerging data science methods.

As an AI/ML Scientist Intern, you'll develop and deploy AI solutions, assist in testing models, collaborate on projects, and stay informed on AI technologies.

The Senior Citrix Engineer will design, implement, and maintain Citrix infrastructure, ensuring high availability, security compliance, and operational efficiency while mentoring junior staff.

As a Solutions Architect, you will drive innovation for NVIDIA customers by providing expertise in Generative AI post-training, especially utilizing LLMs and data processing techniques. Responsibilities include building proof-of-concepts, collaborating with various teams to integrate NVIDIA technology, and guiding customers on tools and methodologies for model alignment and training.

As an Azure Practice Manager, you will lead technical aspects of projects, ensure delivery excellence, and mentor consultants while integrating AI into the practice.

As an ML Engineer, you will build and optimize AI models for rota scheduling, enhance data pipelines, and collaborate with engineering teams to integrate AI into workflows.

The Senior Product Analyst will automate data collection, analyze product metrics, organize A/B tests, and support product hypothesis generation.

As a Staff Technical Account Manager, you'll guide enterprise clients through technical solutions, manage accounts, and provide training to ensure customer satisfaction and successful deployment of cybersecurity solutions.

Collaborate with teams to design and implement machine learning solutions targeting digital identities, focusing on challenges like deepfake detection and bias mitigation.