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Senior Data Scientist - ML & NLP in Cloud Pipelines
Design, train, and deploy ML and NLP models in scalable cloud pipelines, focusing on production readiness and collaboration with cross-functional teams.
Remote Data Scientist & MLOps Engineer
Build and deploy machine-learning models and data pipelines, then expose them via FastAPI services in a fully remote team.
End-to-End Data & ML Engineer (LATAM) — AI-Driven Pipelines
Designs, builds, and maintains AI-driven data pipelines and MLOps infrastructure for a content platform.
Insurance AI Scientist & Data Engineer
Design and deploy ML models, build LLM-based solutions, and create robust data pipelines on AWS SageMaker for an insurance company.
ML Data Engineer - End-to-End Production Pipelines
Build and maintain end-to-end ML pipelines and production APIs for regulatory, clinical, and manufacturing data using Python, FastAPI/Flask, and MLOps practices in Madrid.
Full Stack Engineer - React / Typescript / Python
Build internal tools and data dashboards using React/Next.js/TypeScript and Python (FastAPI/Django) for a quantum AI company.
Senior DevOps Engineer – Azure/Kubernetes, MLOps (Remote)
Designs and maintains Azure cloud infrastructure and Kubernetes clusters, automates CI/CD with Jenkins/Groovy, and implements MLOps workflows.
AI Solutions Architect
Design and build an in-house AI environment, including MLOps pipelines and scalable infrastructure, to support model development and deployment for a product-focused AI company.
Senior Lead Python, Cloud Data & AI/ML Engineer
Lead Python engineer building cloud-native data pipelines, backend services, and AI/ML systems at scale for J.P. Morgan’s Markets Research Technology team.
AI Solution Architect
Designs AI solutions for clients, creating blueprints, estimates, and delivery plans while partnering with cross-functional teams to align technical, commercial, and operational needs.
Senior AI Engineer
Senior AI Engineer builds and deploys production-grade AI/ML models and MLOps pipelines for Workday integrations using Python, cloud platforms, and Kubernetes.
Lead Data Scientist - Workday Products
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics and generative AI, while mentoring staff and managing line responsibilities.
Principal AI Engineer
Principal AI Engineer builds and deploys AI systems for an education-tech suite, integrating LLMs, RAG, and agentic frameworks to power admissions assistants and internal tools while leading AI adoption across teams.
(AI) Solutions Architect
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines.
(AI) Solutions Architect
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines to scale genAI across global operations.
Data Scientist
Build and deploy generative AI solutions using LLMs, RAG pipelines, and embeddings to automate documents, customer service, and knowledge retrieval in a hybrid London role.
Machine Learning Engineer
Build and deploy PyTorch-based AI systems to model microbiome-drug interactions, leading cloud infrastructure, MLOps, and production model pipelines for a healthcare-focused AI startup.
Machine Learning Engineer
Build and deploy production-grade ML models and MLOps pipelines for clients across energy, finance, and government, using Python, PyTorch/TensorFlow, and cloud platforms like AWS/Azure/GCP.
AI Enterprise Architect
Design and govern Barclays’ enterprise AI and data architecture, ensuring secure, scalable solutions and alignment with business strategy.