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Founding ML/Data Scientist (Remote, UK)
Build ML models to automate revenue for vacation rental owners on Booking.com and Airbnb using private API and competitive pricing data.
Data Engineer – Data Science & Technology
Build and maintain data pipelines and architecture for a global energy trading firm, enabling real-time analytics and ML-driven insights for traders using SQL, Python, and Snowflake.
Data Engineer - Core systems
Build and maintain ETL/ELT pipelines and Snowflake data warehouse, using dbt and Python to enable self-service analytics for a fintech SME lender.
Senior Data Scientist / Machine Learning Engineer
Build and deploy classical ML models (regression, classification, clustering) in Python to solve manufacturing, asset-downtime, churn, and geospatial problems for private-equity clients.
Data Engineer
Design and build high-performance big data applications in AWS and Databricks, processing large datasets in batch and real-time for clients across industries.
Lead AI/ML Data Engineer
Lead AI/ML Data Engineer builds and deploys machine-learning features and data pipelines for Mastercard’s products, using Python, Spark, and cloud platforms.
Data Engineering Analyst
Build and maintain data pipelines on GCP (BigQuery, Dataflow) and create Power BI dashboards to deliver analytics for business stakeholders.
Lead Data Engineer
Lead a team to design and build scalable data pipelines and AI-ready infrastructure for an AI startup, focusing on real-time processing, vector search, and ML data workflows.
AI & Data Engineer
Build and deploy Azure-based machine learning models using Python and AutoML, then monitor and retrain them to keep them accurate and ethical in production.
Data Engineer
Build and maintain data pipelines and warehouses for a financial-services firm using Python, SQL/PLSQL, and PySpark in a hybrid on-prem/cloud environment.
Python Software Developer | Risk Technology
Builds and maintains Python-based risk engines (PFE, Market Risk Limits, CVaR) using Pandas, PySpark and AWS, automating complex risk calculations and integrating post-acquisition systems.
Python Developer RAD - Commodities- Top-tier Global Hedge Fund
Build and maintain Python-based trading tools and data platforms for commodities portfolio managers, collaborating with PMs and using pandas, numpy, SQL, and React/Angular.
Quantitative Developer: Python & Data Analytics
Develop quantitative models and analyze financial data using Python, pandas, and NumPy for a London-based trading firm.
Mid-Level Python Developer – Data Processing (Hybrid)
Build and maintain Python data-processing scripts using Pandas/NumPy, handle files, and write tests with unittest/pytest for a hybrid contract role.
Data Engineer (Python Enterprise Developer)
Builds and maintains Python-based ETL pipelines for energy-trading data using Postgres, Azure Databricks, AWS S3, and Airflow in a hybrid London role.
Python Software Developer | Risk Technology
Build and maintain Python-based risk engines for market, clearing, counterparty and operational risk using Pandas, NumPy and cloud tech; integrate post-acquisition systems and explore Agentic AI for code generation.
Python Software Developer | Risk Technology
Builds and maintains Python-based risk engines (PFE, Market Risk Limits, CVaR) using Pandas, PySpark and AWS, automating complex risk calculations and integrating data across Marex’s global commodity and financial markets platforms.
Python Developer – Data & Algorithms Expert (Belfast)
Build and optimize data pipelines and algorithms in Python, using Pandas for analysis and applying strong data-structure expertise to solve commercial problems.
Python Developer - Audio and Signal Processing
Develop and maintain audio watermarking and fingerprinting systems in Python, improving robustness and scalability for media measurement research and production deployment.
Junoir Python Developer - Financial Markets Technology
Build and maintain Python-based pricing, risk, and trading tools for a European investment bank’s equities desks, working with real-time market data and collaborating closely with traders and quants.