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MLOps Platform Developer / Full-Stack AI Engineer
Build and run a full-stack AI platform: React/TypeScript web app, Postgres telemetry, LLM fine-tuning and vLLM serving, plus MQTT/BMS integrations for heat-network decarbonisation.
Senior MLOPs
Build and deploy GenAI/NLP pipelines for Elsevier’s life-science products, orchestrating ML workflows on AWS/Azure, managing vector/graph search, and enforcing content rights and confidentiality.
Lead Software Engineer, Full Stack
Lead a team building AI-powered content systems for Capital One, integrating ML models, microservices, and full-stack development to automate content workflows and meet regulatory needs.
Lead Data Engineer, Applied AI Data Ingestion & Integration
Lead a team building cloud-native data pipelines and AI-ready datasets for BMO’s generative AI and analytics platforms, integrating structured and unstructured data while ensuring governance and security.
Senior Manager, Credit Cards Analytics & Insights
We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your…
Data Scientist (Computer Vision)
Build and deploy computer-vision models using deep learning frameworks like PyTorch/TensorFlow to classify images, detect objects, and segment scenes for AI applications.
AI/ML Architect - Associate Director (Hybrid)
Design and lead AI/ML architecture for aerospace and defense systems, including generative AI and MLOps, ensuring scalable, secure, and compliant solutions.
Amazon Applied Scientist , AWS Marketing Science
As an Applied Scientist II specializing in lead scoring and deep learning modeling, you will build and improve machine learning models that power how our business engages with customers. You will develop predictive…
Staff Product Manager - ML Training Workflow
Define and drive the product strategy for ML training workflows that improve model development speed, training reliability, and developer productivity for GM’s autonomous vehicle platform.
Machine Learning Engineer II
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power research and insights.
Data Scientist III
Build and deploy AI/ML models and predictive analytics to drive business decisions in healthcare, using Python, PySpark, and MLOps tools.
Enterprise Intelligence Solutions Engineer
Designs and builds cloud-native enterprise intelligence platforms, AI-enabled apps, and analytics solutions for mortgage lending, combining software engineering, data engineering, and AI/ML to drive decision-making.
AI/ML Engineer | Talent Marketplace
Design, build, and deploy ML models and AI systems for a global talent marketplace, spanning data prep to production monitoring using Python, TensorFlow/PyTorch, and MLOps tooling.
Principal Machine Learning Engineer
Build and deploy production-grade ML and LLM systems across multi-cloud, designing end-to-end pipelines and MLOps workflows with PyTorch/TensorFlow and cloud-native tooling.
Amazon Delivery Consultant - AI/ML, AWS Professional Services - HCLS
Design and deploy AI/ML and GenAI solutions on AWS for enterprise customers, from data prep to model deployment and MLOps.
Machine Learning Engineer II
Build and deploy agentic AI systems for financial data, focusing on LLM orchestration, retrieval, and scalable workflows to power generative AI applications in finance.
Machine Learning Engineer III - Document Intelligence
Build and optimize AI/ML models for extracting structured data from unstructured documents using NLP, computer vision, and LLMs, and deploy scalable ML pipelines for high-volume processing.
Staff Software Engineer, AI Governance
Designs and builds enterprise-grade AI governance systems to ensure safe, compliant, and transparent ML/LLM deployments in healthcare, including bias detection, drift monitoring, and HIPAA-compliant guardrails.
Quality Engineer Principal - MLOps
Designs and automates validation strategies for PNC’s MLOps ecosystem, ensuring scalable, risk-based testing of machine-learning models, pipelines, and integrations in a regulated environment.
Principal AI Solution Architect, Technology Consulting- London, Leeds, Manchester or Newcastle
Principal AI Solution Architect designs and scales enterprise-grade generative and agentic AI systems, leading PoCs, architecture reviews, and responsible AI governance for clients across industries.