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Data Platform Engineer
Build and maintain ML feature pipelines for batch, streaming, and nearline scenarios to power recommendations and analytics at a top Russian streaming platform.
Data Engineer
Build and maintain scalable data pipelines and transformations using Python, SQL, dbt, and Snowflake to power BI, analytics, and AI initiatives in a modern DataOps environment.
Data Scientist (French Speaking)
At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. We do this by putting AI at the core of both our technology and our way of working. Our AI-driven…
Senior Data Engineer - Databricks
Build and optimize Databricks Lakehouse pipelines on AWS/Azure, set CI/CD standards, and mentor peers while integrating structured and unstructured data with Delta Lake and Unity Catalog.
Senior Backend Spark Developer
Build and optimize large-scale data pipelines using Apache Spark and Scala/Python to power financial IT systems, ensuring scalability and reliability for cross-country operations.
Principal Machine Learning Engineer, Matching and Recommendations (UK Based)
Lead AI strategy for Bumble’s recommendation, ranking, and personalization systems, building production-grade ML models and AI agents with PyTorch and LLMs to boost engagement and safety.
Principal Machine Learning Engineer, Matching and Recommendations (UK Based)
Lead AI strategy for Bumble’s matching and recommendation systems, building production-grade ML models and AI agents with PyTorch and LLMs to improve user engagement and safety.
Principal Data Engineer – London (Hybrid) | Python, dbt, Airflow, AWS
Principal Data Engineer builds and governs a modern PropTech data platform using Python, dbt, Airflow, and AWS to drive enterprise-wide analytics and decision-making.
SC Cleared Principal Data Engineer – Inside IR 35 – Hybrid
Designs and builds secure, scalable cloud data pipelines and platforms using Azure/AWS/GCP, Databricks, and Spark to power analytics and AI workloads.
Principal Data Engineer (we have office locations in Cambridge, Leeds and London)
Principal Data Engineer designs and builds secure, scalable data platforms for national-scale genomics and healthcare research, using Python, SQL, and cloud infrastructure.
Data Scientist
Build and deploy ML models (LightGBM, PyTorch) and pipelines for enterprise demand forecasting, integrating insights into Anaplan’s AI-driven planning platform.
AI Enterprise Architect
Design and lead end-to-end AI infrastructure, from GPU clusters and high-performance networking to MLOps and governance frameworks, ensuring scalable, compliant, and production-ready AI systems.
BI Analyst (Tableau, Python)
Senior BI Analyst builds and maintains Tableau dashboards, automates reporting with Python, and designs data models for global B2B products.
Workflow Developer & Tester
Build and test Go-based telecom workflows for SIM provisioning, inventory management, and REST APIs, with heavy focus on unit, integration, and load testing.
Software Engineer, AI/ML Solutions
Build and scale ML platforms and infrastructure for JPMorgan Chase, enabling data scientists to train, deploy, and monitor models securely in a fintech environment.
Applied Artificial Intelligence and Machine Learning Lead
Lead the design and deployment of ML models to detect fraud in merchant transactions using graph-based features, GNNs, and real-time pipelines in a regulated financial setting.
AI/ML Solutions Manager of Software Engineering
Lead engineering teams building and scaling machine learning platforms for JPMorgan Chase, overseeing ML infrastructure, MLOps pipelines, and responsible AI adoption to empower data scientists and ML engineers.
Lead Software Engineer, Quantitative Developer
Lead a team building high-performance analytics for equities trading using KDB+/Q and Python, processing large-scale market data to shape next-gen applications in a global finance setting.
Graduate Programme 2027: Software Engineer (Python)
Build scalable Python APIs and data pipelines for a global fintech app, using PostgreSQL, Kafka, and Kubernetes in a hybrid role.
DevOps engineer (Внедрение ML платформы)
DevOps engineer builds and maintains CI/CD, monitoring, and Kubernetes-based infrastructure for a company-wide ML platform used in decision-making, risk metrics, forecasting, and AI agents.