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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.
Build and deploy a data-science system that powers UK property insights, using Python, Azure, Docker, and PyTorch.
Build and deploy ML models in Python to solve business problems, working with stakeholders to productionise scalable analytics solutions.
Lead a team of data scientists to design, deploy, and scale AI/ML solutions in a large bank, focusing on production-grade models and strategic business impact.
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.
Lead a data-science team to define Handelsbanken’s AI and analytics roadmap, build ML models with Python/SQL, and deploy them via MLOps while meeting banking regulations.
Build and deploy ML models to personalize recommendations and connections across Bumble’s dating and social platforms using PyTorch/TensorFlow and modern AI techniques.
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.
Build and own the ML pricing engine for tem’s energy-trading platform, Rosso, using forecasting, optimisation, and probabilistic models to set real-time quotes and hedging decisions.
Senior AI Engineer builds and integrates LLM-powered chatbots and NLP tools to deliver data-driven insights for automotive dealerships, using Python, TensorFlow/PyTorch, and cloud platforms.
Design and implement scalable AI platforms on Databricks, leading data/AI modernization and collaborating with engineering and analytics teams.
Principal ML Engineer building real-time AI systems that turn live sports video and data into predictive insights and personalised fan experiences using computer vision, generative AI, and MLOps.
Lead a team to design, build, and deploy ML models for customer churn, segmentation, and recommendations in a growing ecommerce company.
Build and optimize the infrastructure that trains and serves Fireworks' AI models, ensuring high performance and scalability for enterprise workloads.
Build trading systems and AI-driven compute platforms for quantitative finance, contributing to production code and machine learning workloads in a fast-paced internship.
Build and train ML models that power real-time quantitative trading systems, working with PyTorch/JAX and distributed compute platforms in a fast-paced finance setting.
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.
Build and optimize the MLOps platform powering Revolut’s AI products, focusing on scalable Python backend services, GPU workloads, and PyTorch-based model training/inference.
Build and deploy AI/ML systems for clients, working with LLMs, generative AI, and MLOps using Python, FastAPI, PyTorch, and cloud platforms.
Build and deploy cutting-edge forecasting models and LLM agents for scenario planning in banking, using PyTorch, LangChain, and production-grade MLOps tooling.
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