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Designs and implements enterprise-scale data and AI architectures on GCP, integrating ML models, agentic systems, and API-driven pipelines for regulated industries like banking.
Designs and delivers AI-powered systems for clients, aligning business needs with scalable, secure AI solutions and cloud infrastructure.
Design and implement AI architecture for AXA UK, focusing on GenAI, language models, and agentic systems to enhance customer products and internal operations.
Lead GenAI adoption at Citi, designing and deploying LLM-powered features (RAG, agentic workflows) in enterprise applications while setting technical standards and mentoring teams.
Senior Software Engineer at Prolific building and maintaining web apps with Python and cloud platforms, collaborating with cross-functional teams to drive product impact.
Senior Data Scientist builds and deploys AI/ML solutions (LLMs, NLP, computer vision) for clients in defence, energy and health, using Python, SQL and MLOps tooling.
Build AI-powered recommendation and personalization models, apply machine learning to product features, and drive data-driven decisions in a fast-growing tech platform.
Analyze marketing and brand data to generate insights using SQL, Python, and Snowflake, building pipelines and visualizations for stakeholders.
Maintains and improves a finance-focused ERP system, troubleshooting modules like General Ledger and Accounts Payable, and automating reporting for accurate financial close.
Hands-on network engineer migrating trading platforms and data centers using Arista, Aruba, and Cisco gear, plus Layer 2/3 telecom circuits while minimizing downtime.
Build and scale Trino/Iceberg-based data pipelines for Wise’s finance team, transforming raw financial events into audit-ready reports using Medallion Architecture and Kafka.
Principal Data Engineer building and shaping national-scale data platforms for genomics research and healthcare, using Python, SQL, and cloud infrastructure to ensure secure, compliant data pipelines.
Builds and operates Tesco’s data and AI platform that connects supply-chain forecasts to systems and teams, blending data engineering, ML, and cloud-native services.
Build and deploy AI models for secure environments using Python, NumPy, SciPy, and optimisation techniques, scaling systems for regulated settings.
Lead engineering for a secure, scalable KYC and risk data platform, designing AI/ML systems and agentic workflows in Python/PySpark on AWS/Azure/GCP.
A self-funded training program to become an AI or Machine Learning Engineer, covering Python, ML, and cloud tools, with recruitment support to secure a UK-based role.
Build and deploy AI-powered solutions, including copilots and RAG systems, while integrating with enterprise tools like Microsoft 365 and AWS.
Builds and optimizes trading and research infrastructure for an investment manager using Java or Python on Linux with large-scale data processing systems.
Build and productionize AI-native components (LLMs, vector DBs, agent frameworks) for a wealth-tech platform that reconciles and curates market data for investment portfolios.
Designs and architects end-to-end AI systems for a media company, integrating agents and LLMs to solve business problems and align AI with commercial goals.
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