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Build and secure cloud-native AI/ML pipelines on AWS: set up GitLab CI/CD, enforce DevSecOps practices, and operate Kubernetes clusters for data and model services.
Build and maintain SaaS web apps that embed analytics and AI (ML, generative, agents) on AWS, collaborating with data scientists and cloud engineers.
Build and maintain data pipelines feeding real-time energy, weather, and asset data into predictive models for trading strategies across European electricity markets.
Build and maintain cloud and IoT platforms, CI/CD pipelines, and Azure-based environments; automate device-to-cloud data flows and support MLOps for ML model deployment.
Build and scale ML infrastructure for trading systems, including feature stores and real-time pipelines, to support model training, backtesting, and deployment against large time-series datasets.
Own and scale the CI/CD, build, and test pipelines for an AI hardware accelerator stack, ensuring fast, reliable, and cost-efficient validation across simulation and hardware-in-the-loop environments.
Build and maintain scalable Python backend services using FastAPI, Neo4j, and PostgreSQL for a high-profile international programme focused on geospatial and temporal data.
Senior DevOps Engineer maintains and optimizes global derivatives trading environments, troubleshooting production issues and supporting algorithmic trading systems in regulated markets.
Build and deploy cloud and embedded systems using CI/CD, containers, and IaC; collaborate with engineering teams to improve deployment quality and DORA metrics.
Build ML models to automate revenue for vacation rental owners on Booking.com and Airbnb using private API and competitive pricing data.
Build and deploy classical ML models (regression, classification, clustering) in Python to solve manufacturing, asset-downtime, churn, and geospatial problems for private-equity clients.
Design and deliver AI solutions (ML, GenAI, NLP) for public and private sector clients, using cloud platforms and DevOps tooling while engaging stakeholders and leading Agile teams.
Designs and refactors data pipelines and systems, bridging Python-based data science with C# software engineering to build scalable, maintainable data infrastructure.
Build and maintain blockchain data infrastructure for a crypto trading client using Python, Spark, and AWS to power decentralized finance systems.
Designs and builds Snowflake-based data pipelines and dimensional models for a UK wealth manager’s suitability and regulatory reporting initiative, using dbt and modern engineering practices.
Build and own a high-performance native iOS app in Swift/SwiftUI that integrates Bluetooth sensors, low-level C++/Rust, and real-time algorithms for medical and climate-tech devices.
Builds and scales high-performance market-data pipelines and APIs in Python, AWS, and Kafka to power systematic trading strategies for a quantitative investment firm.
This position can be based out of Marysville, MI, or work remotely with some travel as needed. Title: Senior Data Scientist Department: Research and Development Immediate Supervisor: R&D Vice President Status:…
Build and deliver AI/ML systems using Python/Java, agentic frameworks (LangChain), and cloud tools to create scalable, secure production solutions for JPMorganChase’s AI initiatives.
Designs and runs Indigenous-focused labour-market surveys, analyzes workforce data, and turns findings into community programs and policy recommendations.
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