Roles remotos de Python para candidatos en Reino Unido.

Build and scale data pipelines for product events, usage data, and customer datasets.

• Middle
• PostgreSQL
• Python
• SQL

Own the full lifecycle of predictive models in production — architecture, training pipelines, inference infrastructure, deployment, and ongoing model health

• Senior
• Python
• SQL

Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards

• Senior
• AWS
• Python
• Snowflake
• +1

Implementation, and documentation of MBS loan data and securitized products data to be leveraged for research, model calibration, model execution, and interactive applications.

• Senior
• Python
• SQL

Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.

• Middle
• Azure
• Python
• Spark
• +1

Data Architecture & Pipeline Engineering: Architect, build, and operate resilient data pipelines integrating Salesforce, SAP, and service data into highly governed analytical and operational data products.

• Senior
• LLM
• Python
• Salesforce
• +1

The rate depends on your skills and experience. We've already paid out over $11M to our engineers.

• Lead
• AI
• Android
• Flutter
• +12

Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture, ensuring reliability, scalability, and clear ownership.

• Senior
• Python
• SQL

Bold Builders: We tackle the toughest challenges in care delivery by harnessing the power of community and technology.

• Senior
• AWS
• CI/CD
• Docker
• +4

Fully remote position.

• Senior
• AWS
• Python
• Spark
• +1

Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.

• Senior
• AWS
• Docker
• LLM
• +4

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

• Senior
• AWS
• Docker
• GCP
• +3

Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.

• Senior
• AWS
• CI/CD
• Docker
• +3

Lead and manage team of data engineers, across either core data products or finance assurance

• Lead
• AWS
• CI/CD
• Python
• +2

Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML

• Senior
• Azure
• CI/CD
• LLM
• +3

Design and build medallion architecture in dbt and Microsoft Fabric to enhance data analytics capabilities.

• Middle
• Python
• SQL

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1

Design, implement, test, and tune detections across endpoint, identity, cloud, SaaS, network, and application telemetry.

• Senior
• AWS
• Python
• SQL

Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics

• Senior
• CI/CD
• Python
• SQL

A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems

• Senior
• AWS
• Azure
• CI/CD
• +3

Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.

• Senior
• AWS
• Docker
• GCP
• +3

Design and maintain self-service tooling, templates, and scaffolding that allow engineers to provision and deploy serverless resources independently.

• Senior
• AWS
• CI/CD
• Java
• +2

Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS.

• Senior
• AWS
• Python