Top Python Jobs in London

The Senior Systems Engineer will build and maintain automation frameworks to support infrastructure operations, using tools like Terraform and Kubernetes, while collaborating with teams to enhance service delivery.

The Data Platform Engineer will scale and modernize the data lakehouse, build data products, write ETL processes, and support analytics across the business.

Partner with product, engineering, marketing, and finance to define high-impact analytical questions, establish causal measurement (A/B tests, causal inference), set metric strategies, drive decisions from analysis, and shape an AI-native analytics stack while mentoring senior data staff.

Lead Marketing Analytics by defining the analytics roadmap, prioritizing business questions, and shaping measurement frameworks (experimentation, attribution, MMM). Partner with Marketing, Product, and Strategy to monitor KPIs, translate analysis into decisions, and hire, coach, and develop a team of Data Scientists to improve marketing outcomes.

Lead strategy and execution of analytics and AI/ML products to measure and maximize player lifetime value. Drive cross-team alignment, prioritize roadmaps, define experimentation and modelling standards, and ensure scalable, production-grade ML capabilities are adopted and deliver measurable business impact.

The Data & Insight Engineer builds AI-driven analytics environments, automating insights, managing data pipelines, and designing semantic data models for reliable business analytics.

Drive pre-sales technical engagements for Databricks, demo Spark and cloud integrations, design reference architectures, build POCs, collaborate with Account Executives and Solutions Architects, and support customers across Data, ML and Generative AI use cases.

Pre-sales Solutions Architect responsible for driving adoption of the Lakebase product line by partnering with Account Executives, designing and delivering technical solutions, workshops, demos, and customer collateral. Acts as a trusted advisor and tier-3 escalation for complex technical challenges, influences product roadmap with field insights, and collaborates with GTM, R&D, and GSIs to achieve strategic territory targets.

Lead design, build, and scale centralized SRE platforms and internal tools to improve operational efficiency, resiliency, monitoring, automation, and runbooked support for production services. Hands-on full‑stack development, infrastructure automation, observability, SLIs/SLOs, AIOps, and cross-team partnership to reduce toil and improve reliability.

Lead enterprise Java full-stack strategy and modernization (cloud, microservices, event-driven, API platforms). Champion AI-driven development and LLM/GenAI tooling. Oversee backend (Java) and frontend (React/Angular) delivery, ensure secure scalable design, CI/CD and DevSecOps practices, reduce technical debt and vulnerabilities, and lead large-scale programs for velocity, reliability, and cost efficiency.

Build and operate scalable, fault-tolerant infrastructure across cloud providers and Kubernetes. Automate infra with Python or Go, own on-call and SLOs, lead incident response and post-mortems, drive multi-quarter platform initiatives, and embed AI-assisted workflows and agents into daily operations.

As a Senior Solutions Architect at Okta, you will design and present IAM solutions to enterprise customers, drive success through collaboration, and align technology with business strategies while staying ahead of industry trends.

Own and build the full financial data pipeline: design Snowflake schema and dbt model architecture, deliver ingestion and transformation with tests and docs, ensure pipeline reliability through financial close (on-call), establish data quality and governance, partner with analytics and finance stakeholders, extend models to OPEX/COGS/ASC 340-40, and support AI consumers with row-level security and freshness SLAs.

Lead Tier 2 technical support for enterprise B2B SaaS customers: triage and resolve complex production incidents, debug Python and no-code agents, investigate integrations and APIs, build automation/diagnostic tooling, escalate to engineering, and feed product feedback to shape the roadmap.

Partner with enterprise customers to identify AI use cases, architect and implement custom applications and integrations using WRITER's platform, APIs, Knowledge Graph and LLMs. Translate technical concepts for diverse stakeholders, collaborate with Product and Engineering to influence roadmap, and drive adoption, scalability, and time-to-value through documentation and processes.

Build, deploy, and operate production-grade LLM/RAG pipelines and AI platform capabilities. Lead end-to-end AI projects, embed evaluation, observability, CI/CD, and responsible-AI controls, mentor engineers, and enable bank-wide AI adoption in a regulated environment.

Build, test, and ship AI features and shared platform capabilities using LLMs and RAG. Integrate AI services with data sources via APIs, contribute to evaluation, observability, testing, and CI/CD, apply responsible-AI practices in a regulated bank, and support AI adoption across engineering teams.

Analyze high-frequency limit orderbook and tick data to discover predictive signals; build and backtest quantitative models; develop and maintain data pipelines; apply statistical and tree-based machine learning methods; collaborate with researchers and traders to productionize and monitor live signals.

Build and own end-to-end data pipelines and a next-generation data platform. Ingest, transform, and deliver high-quality data products for analytics and customer-facing features. Operate databases, clusters, streaming infrastructure, and improve CI/CD, automation, and developer productivity.

Lead analytics for clinical trials by converting complex clinical data into actionable insights, partnering with data quality and monitoring teams, using visualization tools, advancing anomaly detection and risk‑based analytics, and implementing interventions to improve data quality and study timelines.

PhD-level research intern to investigate and prototype 3D computer vision methods (SLAM, VIO, localisation, reconstruction). Survey SOTA, design and benchmark algorithms under real-world conditions, convert ideas into prototypes, and report results to a distributed European team focused on deployable defence-grade spatial perception.

Lead design, development and evaluation of production machine learning models for demand forecasting. Build reusable forecasting approaches, research modern ML techniques, design evaluation methodologies, write production-quality Python, collaborate with engineers to productionise models, provide technical leadership, mentor scientists, and communicate findings to technical and non-technical stakeholders.

Lead production development and architecture for intelligence software using LLMs and agentic systems. Ship end-to-end features (literature ingestion, gap identification, assay optimisation), stand up data capture infrastructure, and grow the intelligence team while coordinating with biology and operational engineering.

Lead delivery and oversight of investment performance, attribution, valuation and regulatory reporting. Review data, reconciliations and controls; act as senior technical contact; prepare analysis for committees; partner with managers, custodians, auditors and vendors; support Aladdin and reporting transformation projects; investigate complex valuation and data issues and support internal/external audits.

Responsible for platform development and management, collaborating with stakeholders for requirements, and maintaining code quality by mentoring juniors and performing code reviews.