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This role involves building and managing AI data pipelines on Azure, focusing on technologies like RAG, embeddings, and Azure AI Search. The engineer will work with Azure Data Factory, Synapse, Fabric, Data Lake Storage, and Cosmos DB, utilizing Python and SQL for data transformation and quality.
Lead the development of advanced analytics and ML solutions for public sector and defence clients, utilizing data engineering expertise and programming skills. This role involves conducting statistical analysis, building analytics projects, and mentoring junior engineers.
Clariti AI seeks a Data Engineer in London to build and scale data infrastructure, focusing on data pipelines and feeding ML models using Azure. Requires 3+ years of experience and Python proficiency.
Build and operate a globally distributed system handling petabytes of sensor data daily, enabling AI model training at scale. This role involves designing data pipelines, implementing orchestration with Flyte and Kafka, and deploying on Azure using Terraform and Python.
Clariti AI seeks a Senior Data Engineer to own their data infrastructure, building and scaling data pipelines and ML models using Python on Azure. This role involves technical and commercial decisions, client interaction, and a competitive salary with profit share and equity.
Build and own AI-powered freight pricing and booking systems for global trade, shipping code dozens of times per day using Java, Spring Boot, React, and AWS.
Lead multi-disciplinary defense programs delivering AI/ML, cybersecurity, and SIGINT solutions; manage schedules, budgets, and government stakeholders to meet critical DoD contract deliverables.
This AI Specialist designs and delivers AI solutions, focusing on foundation and large language models, leveraging tools like TensorFlow, PyTorch, Keras, and Hugging Face. The role involves building cognitive solutions for data analysis and managing projects from research to production, utilizing Python and cloud platforms.
A Senior Security Engineer secures web, mobile, APIs, AI/CV platforms, and cloud systems by embedding security into DevSecOps workflows, leading threat modeling, and collaborating with engineering teams on secure architecture and vulnerability remediation.
The Senior Applied AI/ML Scientist will architect and deploy production-grade LLM agentic workflows and retrieval systems to process real-time news data. The role focuses on building scalable, observable AI features while driving evaluation standards for accuracy and performance in a media intelligence context.
This Software Engineer builds full-stack internal tools and platforms for OpenAI's Safety Systems team, using JavaScript, React, Python, and relational databases, to ensure AI models are safely deployed and to improve the velocity of identifying and fixing safety issues.
This Product Manager will own the end-to-end evaluation journey and developer experience for Keycard's identity and access infrastructure, which enables secure AI agentic applications. They will define metrics, optimize SDKs, CLIs, and documentation to reduce time-to-first-credential-exchange, ensuring a seamless onboarding for developers.
This Legal Counsel will develop and maintain global data privacy, AI governance, and compliance policies (GDPR, CCPA, EU AI Act), partner with product/engineering for privacy-by-design, and manage data protection agreements and incident response for an AI work companion company.
Build and measure Snowflake’s AI coding agent, turning prototypes into production-grade tools by designing evals, diagnosing failures, and optimizing cost and latency for enterprise data teams.
Build and deploy AI agents and LLM-powered workflows to automate internal processes, integrating data sources and ensuring secure, reliable AI solutions in a cloud networking and security company.
Drive AI Security product strategy at Cato Networks, defining capabilities to secure AI apps, agents, and data while collaborating with engineering and security teams.
This role leads a team to drive adoption and value realization for Cato Networks' AI Security and SASE platform among Fortune 500 customers in the Americas, combining technical leadership with strategic account management.
The Agentic AI Engineer will design and deploy LLM-powered agentic workflows to automate and optimize internal product support processes. The role focuses on building production-grade AI systems using frameworks like LangGraph and Python, ensuring reliability, security, and effective collaboration with business stakeholders.
Owns Liftoff’s neural-net ML system (Cortex) that predicts user ad responses across mobile apps, driving growth for 6,600+ advertisers and publishers.
Build and maintain AI-powered web apps using React, Python/Node.js, and AWS, integrating LLMs like Amazon Bedrock and RAG workflows while ensuring security and scalability.
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