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Data Scientist
Build and deploy a data-science system that powers UK property insights, using Python, Azure, Docker, and PyTorch.
Data Scientist
Build and deploy ML models in Python to solve business problems, working with stakeholders to productionise scalable analytics solutions.
Senior Data Scientist, Sports
Build probabilistic models that set real-time betting odds and power in-play sports markets using Python/R and ML frameworks like TensorFlow.
Senior Data Scientist Consultant
Senior Data Scientist Consultant designs and delivers AI/ML solutions for public sector and enterprise clients, from prototyping to production deployment, using Python, PyTorch, and MLOps.
Data Scientist (SC Cleared)
Build and deploy ML models in a secure environment, turning complex data into insights using Python, TensorFlow/PyTorch, and visualisation tools.
Lead Data Scientist - Workday Products
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics, anomaly detection, and generative AI integrations, while mentoring staff and managing client engagements.
Applied Artificial Intelligence/Machine Learning Associate
Build and deploy secure, scalable AI/ML and generative-AI solutions—including LLMs and agent workflows—from prototype to production for a global bank.
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.
AI Analyst
Build and maintain AI models in Python to turn raw data into business decisions, then explain results to non-technical stakeholders.
Senior Full-Stack Developer AI Engineer Data Scientist (mwd)
Build and maintain full-stack AI-native marketing platform using TypeScript, Python, and agentic coding tools like Claude Code; develop ML models, RAG pipelines, and LLM evaluation frameworks.
AI & Data Science Engineer
Builds and deploys generative AI solutions (RAG, prompt engineering, AI guardrails) using LangChain, LangGraph, and PyTorch in Python, while ensuring GDPR and EU AI Act compliance.
Senior machine learning engineer
Design, build, and deploy ML models to improve prediction, classification, and personalization across Absa’s African banking operations, using Python, MLOps, and cloud-native patterns while ensuring responsible AI and regulatory compliance.
Sr. Data Scientist (AI & ML)
Build and ship ML and generative-AI systems that power decisions across Delivery Hero’s platform, from recommendation engines to LLM-driven automation, owning the full lifecycle from modeling to production.
Senior Audit Manager - Model Validation (f/m/d)
Solaris is Europe's leading embedded finance platform. Solaris’ full German banking license and proprietary modular B2B tech stack empowers its partners – from SMEs to large, multinational, non-financial companies…
Jr. Al ML Engineer
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
Data Analyst / Data Scientist (Anti-Fraud, FinTech)
Senior Data Analyst/Data Scientist builds fraud-detection models and reports for a fintech/payments product, analyzing transactional data to spot anomalies and recommend business actions.
Junior ML Engineer
Build and maintain ML models and pipelines for document processing and AI agents using Python, LLMs, and libraries like PyTorch and scikit-learn.
Senior Data Scientist (команда оптимизации расходов)
Build ML models to detect anomalies in server resource usage, optimize costs, and predict infrastructure loads for a large bank’s monitoring system.