Top Python Jobs in London

Own and productionize an internal AI agent platform: build agent workflows, frontend UIs, and Python/FastAPI backends; implement observability and evaluation (Ragas, Langfuse); integrate cross-cloud systems; mentor engineers and drive durable, testable, regulated fintech automation.

Lead data migration strategies and implementation across hybrid cloud environments, design data pipelines, and optimize scalable systems while collaborating on AI projects.

Join the Data Strategy team to design, build, and maintain cloud-based ETL/ELT pipelines and data services using Python, SQL, Spark, and Databricks. Integrate heterogeneous data sources, prepare curated datasets, support production operations, and contribute to migration and platform modernization efforts for analytics and downstream consumers.

Design, develop, and maintain scalable automation frameworks and tooling to provision and manage cloud and hybrid infrastructure. Build Python-based IaC generation with Jinja2 and Terraform, maintain Puppet modules for Linux/Windows, develop PowerShell automation for Windows/AD, integrate automation with CI/CD, implement testing for infrastructure code, and partner with platform teams to drive operational excellence and documentation.

Build and operate core retrieval and knowledge representation systems for a generative AI platform: design RAG pipelines, embeddings, indexing, vector-store integrations, knowledge graphs/ontologies, evaluation frameworks, and production ML backend services while collaborating across product, ML, and infra teams and shipping enterprise-grade features.

Work in multidisciplinary teams to design, build and maintain data pipelines, models and analytics products using SQL, Python and modern data tools. Contribute to cloud-based data solutions (AWS/Azure), apply software engineering and data governance practices, create visualisations, and collaborate with stakeholders in Agile delivery to produce maintainable, production-ready data services.

Lead design and execution of scalable batch and streaming data platforms for subscription analytics and ML. Define long-term data strategy, drive architecture and best practices, reduce technical debt, mentor engineers, and partner cross-functionally to improve data quality, governance, observability, and platform reliability for subscriber growth.

Design, develop and validate control algorithms and models for power-electronics systems. Run simulations and lab tests, troubleshoot hardware/software, analyse performance data, support verification/validation, and create technical documentation while collaborating across multidisciplinary teams.

Build and maintain backend services and data pipelines for large-scale optimisation runs. Validate and integrate client trade data, develop APIs, improve performance and reliability, automate workflows, and generate reports delivered securely to clients.

Build and ship BESS revenue modelling features with engineering, coach and train the Ko AI analyst on new datasets, maintain forecasts/benchmarks/data feeds, and manage end-to-end product release processes for regional power markets.

Design, implement and deploy end-to-end, API-heavy serverless services on AWS. Build scalable, high-throughput systems, improve performance, mentor junior engineers, and lead technical hiring and architecture decisions.

Support and lead data-driven communications projects across EMEA and APAC, using NLP, statistical and ML methods to extract insights from multiple data sources, build pipelines, create visualisations and client-ready reports, and deploy AI-enabled solutions to inform reputation and communications strategy.

Lead and deliver quantitative sub-workstreams for energy trading and valuation projects, supervise junior staff, prepare reports, develop client relationships, contribute to proposals and business development, and apply quantitative methods to complex energy market, risk and valuation issues.

Lead and deliver advanced data and AI-driven communications solutions: design and implement analytics/ML approaches, integrate multiple data sources, build pipelines and visual reporting, manage and mentor data scientists, translate technical results for senior clients, support business development and innovate tools to advance corporate communications insights.

Lead design, development, and productionization of ML/AI solutions. Manage ETL, databases, model lifecycle, and MLOps pipelines. Perform EDA, statistical analysis, and monitoring. Mentor junior staff, run proofs-of-concept, communicate results to stakeholders, and ensure production-grade, auditable, scalable code and models.

Lead and grow a high-velocity D&A software team to design, build, and deliver client-centric, scalable web applications. Drive architecture and technology choices, mentor engineers, run Agile ceremonies, perform code reviews, integrate data sources, ensure production deployments, and represent Software Solutions to internal and external stakeholders across EMEA.

Design, develop, and deploy production-ready ML/AI solutions including data ETL, exploratory analysis, modeling, ModelOps/MLOps, and GenAI/RAG systems; mentor junior staff and coordinate with stakeholders.

Support analytics projects for communications and reputation challenges using statistics, machine learning and AI. Collect and analyze structured and unstructured data, build dashboards, pipelines and tools, deliver insights to clients, assist pitches, and drive GenAI/NLP adoption and data-driven decision making across the firm.

Lead incident response and digital forensics engagements: perform forensic imaging and analysis across Windows, Linux, macOS and mobile, assess client security posture against standards, develop investigative plans, document findings in incident reports, and support practice growth and methodology development.

Produce actionable threat intelligence across the full lifecycle: track threat actors, analyse malware and C2 infrastructure, map activity to MITRE ATT&CK, develop detections (YARA), support DFIR/SOC, build tooling and automate workflows, and communicate findings to technical and non-technical stakeholders.

Lead data science projects across planning optimisation, forecasting and metrics modelling. Build and deploy ML solutions, perform SQL/Python analysis, create visualisations and reports, mentor junior data scientists, and collaborate with stakeholders to influence business decisions.

Lead a 12-month project to consolidate multiple data sources, identify root causes of order damages, and build statistical and machine-learning models. Deliver actionable insights, visualisations and reports to influence stakeholders, implement corrective actions, and mentor other data scientists.

Forward Deployed Engineers at Thought Machine deliver technical solutions by embedding with clients, managing project lifecycles, coding production systems, and facilitating client success with technological implementations.

As a Data Scientist, you will design and deliver bespoke AI solutions, work with clients on project feasibility, and ensure delivery excellence while acting as a technical advisor.

Train and fine-tune large language models, build and maintain the full LLM stack and agentic pipelines, improve chat/agent algorithms, translate NLP research into roadmap, and collaborate with validation, content, and dataset teams to design experiments and measure model quality.