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Builds, deploys, and integrates AI/ML models to analyze customer behavior, optimize operations, and enhance business workflows using Python, SQL, and MLOps/LLMOps frameworks.
Desenvolve e mantém modelos de Machine Learning e Generative AI, desde a definição do problema até deploy e monitoramento, integrando soluções a produtos digitais via APIs ou pipelines.
Build and deploy end-to-end data-science solutions—from model design to production—using Python, ML frameworks, MLOps and cloud-native tools to deliver measurable business impact.
A Senior Data & AI Engineer who designs and builds AI solutions, mentors teams, and advises clients on data/AI projects while driving GenAI and MLOps initiatives at Datacation.
Builds and maintains data pipelines on Snowflake, integrates AI solutions like GenAI Suite and Klus Coach, and supports data science projects while managing Linux server infrastructure to drive business impact in a DIY retail environment.
Build and maintain scalable data infrastructure and pipelines for energy-grid analytics, enabling predictive models that optimize grid reliability and support the energy transition.
Designs and operates a cloud-based data platform for governance, risk, and compliance (GRC) SaaS, integrating business data, automating reporting, and building AI-driven workflows with governance controls.
Senior Data Engineer (ML) builds and scales production-grade AI systems from prototypes, leading MLOps, CI/CD, and model monitoring alongside data scientists in a government team.
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.
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