Top Python Jobs in London

The Lead Forward Deployed Engineer will direct complex AI projects, guide architectural decisions, foster team growth, and ensure scalable solutions across multiple work-streams.

Lead growth-focused engineering work: implement and maintain ad tracking SDKs/MMPs, build tracking/tag manager setups, design and ship full-stack growth features, integrate CRM/lifecycle tooling, build internal automation tools (Python/Node), and collaborate with Growth, Marketing and Data to run experiments and A/B tests.

Build and maintain ETL/data pipelines into the Data Lakehouse, develop Power BI dashboards, support AWS infrastructure (S3, Glue, Lambda, Step Functions, LakeFormation), ensure data quality using dbt, write complex SQL and Python for data processing, use Git for version control, document workflows, and collaborate with analysts and data scientists.

Lead development of behavioural features and detection algorithms from hypothesis to production using high-frequency GPS and inertial sensor data. Prototype, build scalable Python and SQL pipelines, evaluate ML and rule-based models, run experiments, and collaborate with engineering, product, and actuarial teams to integrate features into pricing and measure impact.

Drive technical pre-sales for German-speaking enterprise customers: run demos, architecture deep-dives, hands-on evaluations, manage technical sales process, support business case development, act as customer technical lead, gather product feedback, and represent Retool at events. Focus on DACH accounts with occasional onsite visits to Germany.

Develop ML-based models for alpha generation using high-frequency data, maintain data pipelines, optimize model performance, and collaborate with teams.

As a Full-Stack Software Engineer, you'll lead the technical strategy for AI applications in the public sector, architecting frameworks, guiding development, and mentoring staff.

As a Mission Operations Engineer, you'll deploy and integrate Nominal’s technology, enhance user experiences, provide training, and resolve operational challenges while building relationships with clients.

The Senior Commercial Finance Analyst will analyze commercial performance, maintain financial models, leverage AI for reporting, and collaborate with teams for strategic financial decision-making.

As a Senior Full-Stack Software Engineer, you will develop AI applications for public sector clients, design full-stack solutions, and manage cloud infrastructure while collaborating with cross-functional teams to address complex challenges.

Work across the full software lifecycle to build robust margin and collateral solutions. Collaborate with product teams and users, design and implement RESTful APIs, apply TDD and clean code, and handle data structures, algorithms and SQL. Adapt quickly in a fast-paced, changing environment and contribute to a strong global engineering culture.

The Product Data Science Manager leads a team to deliver custom data insights, ensuring analytical excellence and client impact while collaborating with various stakeholders.

Provide hands-on support for network issues, enhance workflows, focus on automation, and integrate AI in network operations.

The Windows Engineer will manage and optimize the Windows infrastructure, automate deployment processes, and collaborate globally to resolve issues and document outcomes.

The Engineering Manager will co-own product delivery, grow and support their team, promote cross-functional alignment, drive operational excellence, and contribute hands-on when necessary.

Design and implement scalable IAM architecture and tooling for AuraDB. Integrate enterprise SSO providers, implement auth protocols (OAuth2, OIDC, SAML, LDAP, MFA), manage lifecycle (SCIM), develop access control models (RBAC/ABAC/PBAC/ReBAC/FGA), enforce least-privilege, apply zero-trust patterns, ensure SOC 2 compliance, mentor engineers, and collaborate across product, security, and infrastructure teams.

Join the Front Office R&D team to design and maintain Python libraries and frameworks, provide production support, and enhance system reliability.

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.

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.

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 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.