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Design and deploy AI models to automate workflows, analyze datasets, and build dashboards that help stakeholders make data-driven decisions.
Lead a team building AI-driven fraud detection models and MLOps pipelines on AWS and Databricks to proactively identify financial crime patterns and reduce losses.
Build and productionise ML models for an e-commerce platform, using Python, TensorFlow/PyTorch, and cloud pipelines to improve product recommendations and business decisions.
Design and deploy AI/ML models for fintech domains like payments and liquidity management using Python, cloud platforms, and MLOps tools.
Build and deploy AI models for content personalization, newsroom automation, and recommendation systems using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy ML models (traditional to generative AI) to solve business problems, then translate insights into actionable strategies for stakeholders.
Designs, builds, and deploys AI/ML models and data pipelines to production, optimizing performance and collaborating with cross-functional teams.
Senior Data Scientist to design and implement algorithms for curating and validating AI training datasets using PySpark, Python, and statistical modeling at scale.
Senior data scientist builds and deploys ML models, graph analytics, and Gen AI solutions to detect fraud and extract insights from interconnected datasets using Python and cloud platforms.
Build and deploy ML models, analyze datasets, and create dashboards for UK/EU clients in a remote-first data science role.
Senior Data Scientist to design Azure data pipelines, build ML models, and implement MLOps for enterprise-scale analytics and AI solutions in a 12-month contract.
Build and scale Python applications that integrate ML models, using PySpark and Kubernetes; collaborate with data scientists to deploy end-to-end ML pipelines.
Build deep-learning forecasting models to predict demand with 96% accuracy, using Python and PyTorch/TensorFlow, and deploy them in production to drive profit growth for clients like Delta and Virgin Atlantic.
Build and deploy ML models end-to-end: prototype, train, and productionize AI solutions on Azure/AWS/GCP using Python, PyTorch, and Databricks.
Build and deploy ML models end-to-end, from data engineering to production on Azure/AWS/GCP, using Python, Databricks and MLOps tooling.
Build and evaluate LLM and agent-based AI systems for mining software, using PyTorch and ML evaluation frameworks to improve model reliability and performance.
Design and maintain secure data pipelines for intelligence operations, integrating and transforming classified/unclassified datasets to support GEOINT analysis and mission-critical reporting.
Design and deploy AI-driven solutions for clients, integrating ML models into production and aligning them with business goals using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy AI/ML models for mission-critical government programs, integrating them into secure platforms and shaping certification policies.
Design and deploy ML models for classification, prediction, and optimization using Python and cloud platforms, collaborating with teams to solve real-world problems in energy, finance, and more.
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