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Senior Product Manager builds and owns Campminder's shared AI infrastructure (RAG, evaluation, services) so product teams can ship reliable AI features for summer camps.
Lead architectural design across data platforms, AI/ML initiatives, and enterprise systems integration for a Defence decision-support environment in Canberra, covering data strategy, secure cloud/on-prem architecture, and MLOps.
Cognitio Digital is seeking an experienced Solution Architect to support a Defence customer delivering enterprise data, analytics and artificial intelligence capabilities in a secure, mission-critical environment. This…
Leads AI-driven recommendation systems for an e-commerce platform, designing multimodal search and personalization models using Google's Vertex AI and TensorFlow.
Build and scale large-scale data pipelines and platforms for an AI-powered e-commerce discovery engine, using Spark, Kafka, Flink, and GCP to power personalization, recommendations, and ML systems.
Designs and maintains AI/ML systems for federal agencies, including model training, deployment, and MLOps, using enterprise-grade tools and DoD-compliant security practices.
The AI Engineer will design, develop, and deploy generative AI and machine learning solutions using LLMs, prompt engineering, and MLOps. The role involves integrating Azure and Snowflake technologies to build scalable AI applications.
Build and deploy ML models to recover underpayments for hospitals, improving revenue and efficiency using Python, scikit-learn, and cloud MLOps.
Build and deploy AI/ML models and scalable backend services in Python and Go to power financial news analytics and real-time data APIs for global investors.
Lead advanced analytics, predictive modeling, and AI-powered initiatives as VP of Data Science within Burson's Insights & Intelligence team, using Python, SQL, R, and cloud platforms to deliver data-driven client solutions in a communications/PR agency setting.
The Senior Data Engineer will design and manage scalable Snowflake data warehouse solutions and lead end-to-end data pipeline development. The role involves mentoring team members and collaborating with stakeholders to advance the company's data platform and MLOps capabilities.
The Staff Machine Learning Engineer will lead the development of Edge AI models for in-vehicle health monitoring and failure prediction. The role involves owning the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and deployment using technologies like PyTorch, TensorFlow, and C++.
The Senior Staff Machine Learning Engineer will lead the development and deployment of Edge AI models for in-vehicle health monitoring and failure prediction. This role involves managing the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and integration with vehicle systems.
Design and implement Agentic AI solutions, build data pipelines for RAG systems, and develop LLM-based applications using frameworks like LangGraph/LangChain for Thales Group's defense-sector R&D projects.
The AI Platform Engineer will design and operate enterprise AI/GenAI platforms, focusing on LLMOps, MLOps, and building reusable AI services like RAG and inference APIs. The role also involves developing CI/CD pipelines and coaching teams on DevOps best practices within a capital markets environment.
The Associate Director of Software Engineering will design and develop full-stack applications using Python and React to support Fitch Ratings' analytical workflows. The role involves building scalable backend services, integrating AI/LLM capabilities, and mentoring teams in a hybrid office environment.
Builds and enhances mission-critical full-stack applications (Python backend + React frontend) for Fitch Ratings’ global credit analytics workflows, integrating AI/ML where impactful.
Full-stack AI/Software Developer at RBC designing and building agentic AI systems, LLM/RAG applications, and AI-driven security tools using Python, React, vector databases, and cloud platforms (Azure, AWS, OpenShift).
Python developer building and deploying GenAI/LLM applications with a focus on RAG pipelines, prompt engineering, and MLOps in production using Python, LangChain, vector databases, and Kubernetes.
Lead the day-to-day operation of a Databricks Lakehouse platform and MLOps services, ensuring availability, security, and governance while managing stakeholders and vendors in a hybrid London role.
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