Top Python Jobs in London

Manage lifecycle, compliance, and security for Apple and Windows endpoints. Provide technical support, automate tasks, and optimize MDM infrastructure.

As an MLOps Engineer, you will build and maintain ML pipelines, develop APIs, collaborate with teams, and enhance AI infrastructure.

The Staff Software Engineer will enhance Kubernetes scheduling for multi-cloud environments, design core services, ensure reliability, and collaborate with various teams to optimize performance.

The Specialist Solution Engineer will engage with clients to deliver AI-driven solutions, conduct technical discovery, prototype and implement data-driven processes, and provide consultancy and training in process intelligence.

As a Growth Hacker, you will develop Kyra's growth engine, managing both paid and organic marketing channels while leveraging AI to optimize performance and build a robust pipeline of qualified leads.

The Data Scientist (Product Analytics) will develop product analytics, improve data quality, conduct A/B tests, analyze user behavior, and collaborate with cross-functional teams to inform product strategies and enhance user engagement.

The Application Support Engineer will manage user support, incident resolution, process activities, operations monitoring, and implement improvements in a cryptocurrency trading environment.

As a Senior Infrastructure Engineer, you'll design and build infrastructure solutions, manage cloud services, enhance CI/CD pipelines, and automate operations. You'll lead system architecture while ensuring security, reliability, and performance in collaboration with product engineers.

Lead the design of data platforms for AML/KYC and Fraud products, shaping data systems, coaching engineers, and setting technical direction across teams.

The AWS DevOps Engineer will design, build, and maintain cloud infrastructure, CI/CD pipelines, and automation frameworks, ensuring adherence to DevSecOps principles.

Develop and maintain data pipelines, optimize solutions using AWS services, and ensure data quality and security while collaborating with cross-functional teams.

Lead technical pre-sales for DACH customers: qualify opportunities, design architectures, run demos and POCs, respond to RFPs, guide API integrations, mentor junior presales engineers, and drive the technical win while building customer trust.

Design, test, and deploy systematic trading strategies across digital asset markets. Generate and validate hypotheses, run rigorous backtests, build and maintain live alpha signals and execution models, analyze microstructure and order flow, collaborate with engineers to move research to production, and monitor and iterate on live strategy performance.

Develop and deploy options pricing and execution models for digital asset derivatives. Research volatility dynamics and microstructure, build backtests handling path dependency and costs, design hedging and delta management, collaborate with engineers to move strategies into live infrastructure, and monitor real-time Greeks and P&L to iterate on models.

Lead end-to-end research applying advanced ML/DL (transformers, GNNs, RL, ensembles) to generate alpha across digital asset markets, build production-grade pipelines, prevent leakage/overfitting, analyze microstructure and on-chain data, and mentor junior researchers.

Deliver end-to-end data science projects: build and deploy ML/NLP and LLM-based solutions, design scalable data pipelines, integrate APIs and cloud platforms, implement RAG/vector search, create reusable tools, and collaborate with cross-functional teams to drive healthcare analytics products.

The role involves developing and implementing Customer Risk Assessment models, assessing data quality, and working collaboratively on risk assessment methodologies in financial crime analytics.

Design, build, and maintain scalable data pipelines and models (ingestion, modelling, orchestration). Ensure data quality via testing and monitoring, participate in code reviews, shape data architecture, and enable analytics/BI across the organisation.

Seeking an experienced Python Engineer to support and develop the trading platform, focusing on data processing, ML model infrastructure, and production systems. Requires strong problem-solving skills in a fast-paced environment and experience with trading platforms is preferred.

The Senior ML Infrastructure Engineer will manage and optimize the ML infrastructure, focusing on training pipelines, model serving, and collaboration with research teams.

The Senior Simulation Data Engineer will manage the end-to-end data pipeline for simulation, ensuring high-quality outputs for ML training and collaborating with research teams to optimize processes.

Develop and deploy AI agents for engineering workflows, collaborating with domain experts, and improving the platform's functionality through systematic evaluations.

As a Principal AI Engineer, you'll architect the Agentic stack for AI-driven simulation software, focusing on agent observability, deployment, sandboxing, evaluations, and governance within engineering workflows.

The Applied AI Engineer will develop AI features for consumers, optimize AI tools, and enhance workflows in the energy sector.

The Retention Analyst will analyze player behavior, enhance customer retention, report on bonus spending, and collaborate with marketing teams to drive insights and improve targeting strategies.