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Leads MLOps and CI/CD to turn AI prototypes into secure, scalable production systems for a government agency.
Builds and maintains production-grade ML pipelines for a UK government agency, bridging data science prototypes with scalable, secure systems while embedding responsible AI practices.
Senior engineer building and deploying production-grade generative AI solutions for investment workflows, including retrieval pipelines, agents, and responsible-AI systems.
Build and deploy AI systems for edge and embedded environments, from R&D to production, focusing on model training, evaluation, optimisation, and MLOps to deliver real-world impact in demanding settings.
AeroVect is seeking an MLOps Software Engineer to build and maintain data pipelines, manage large-scale sensor datasets, and optimize training workflows for autonomous ground handling systems. The role involves developing tooling to support perception engineers using Python, ROS2, and cloud infrastructure.
Senior engineer maintaining and governing AI systems for public-sector clients, ensuring reliability, performance, and compliance with strict SLAs and governance standards.
The MLOps Engineer will lead machine learning strategy and development, specifically focusing on Customer 360 initiatives. This is a 6-month contract role.
Build and productionize AI-powered workflows and ML models for IT management and cybersecurity products, integrating classification, recommendations, and automation into Kaseya’s platform.
Build and deploy ML models for fintech underwriting and lending workflows using MLOps pipelines and cloud infrastructure.
Leads the design, deployment, and operationalization of AI/ML solutions for fintech, focusing on enterprise-wide automation, decision-making, and efficiency. Specializes in end-to-end ML lifecycle, MLOps, and scalable model production in cloud environments.
Build and own the ML/LLM stack for Spectrum, JetBrains’ AI-powered semantic layer that extracts, organizes, and reasons over code, docs, and issues to keep software systems aligned.
Design and maintain MLOps infrastructure and pipelines to streamline ML model development, training, and deployment for AI-powered developer tools.
Develops and deploys LLM-driven agentic systems to accelerate drug discovery workflows, integrating data from LIMS/ELN, structural biology, assays, and DMPK to automate multi-step scientific tasks and improve decision-making for project teams.
The Senior Data Engineer will design and implement end-to-end AI features, including data pipelines, Generative AI, and agentic workflows. The role involves building scalable systems using Python, SQL, and modern frameworks like LangChain and Spark while managing MLOps practices across major cloud platforms.
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Наша команда помогает развивать сеть банкоматов Сбера и обеспечивать ее бесперебойную работу. Мы погружены в разные части этого процесса — от AI-агента в банкоматах нового поколения до автоматизации обработки заявок на…
About Aleut Federal: At Aleut Federal, we believe the company and its mission is just as important as the job you are applying for. Aleut Federal is an Alaskan Native-owned enterprise whose purpose is to support our…
Manages AI platform deployments for public-sector, healthcare, and critical-infrastructure clients, coordinating installations, training, and ongoing support while gathering product feedback to shape the roadmap.
Principal Architect designs and leads Azure-based data platforms and modernization programs, guiding teams to build scalable, AI-enabled solutions while mentoring architects and promoting engineering best practices.
Leads a team of AI/ML specialists to drive Snowflake’s Cortex AI and ML product adoption, bridging field/customer insights with product roadmap decisions to maximize customer outcomes and platform value.
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