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DevOps Architect owning the Platform Engineering roadmap across AWS and Kubernetes, leading DevOps, cloud platforms, data operations, and AI/MLOps for a global organisation in Dublin.
чем предстоит заниматься: разрабатывать и доводить до продакшена модели компьютерного зрения, решать задачи речевой аналитики: транскрибация звонков, диаризация спикеров, извлечение сущностей и интентов, оценка…
Leads ML pipeline design and MLOps practices on GCP to automate and scale secure, production-grade models for a Chilean bank.
The Data Scientist will join the AI validation team at RBC to assess and manage model risk for LLM-based applications and agentic AI systems. The role involves challenging models, conducting research, and collaborating with cross-functional teams to ensure the reliability and safety of AI deployments across the bank.
The Data Infrastructure & MLOps Engineer will design, build, and maintain scalable data pipelines and machine learning platforms to support Doodle's B2B SaaS products. The role focuses on automating infrastructure, ensuring system reliability, and enabling efficient model deployment using technologies like Python, SQL, and cloud-native tools.
Data Science & AI Consultant Location: Bristol, London, or Manchester (Hybrid working) Security Clearance: Active DV clearance is essential Salary: £45,000-70,000 DOE As a Data Science & AI Consultant, you will…
MLOps Engineer building and automating infrastructure for retail ML models in production using GCP Vertex AI, IaC, and CI/CD pipelines in a hybrid role.
Build and deploy ML models to predict vehicle demand across 150k scooters in 100+ cities, owning end-to-end AI projects and improving Voi’s MLOps platform.
This role involves building production-grade agentic systems and AI-ready data platforms for enterprise clients using Snowflake, dbt, Airflow, and LLM frameworks. The engineer will focus on unstructured data extraction, agent orchestration, and establishing evaluation practices for non-deterministic AI workflows.
Build and deploy machine learning models for startups and life-science companies using Python, PyTorch, and TensorFlow in a fully remote, globally distributed team.
Projetar, desenvolver e implantar soluções de IA Generativa e LLMs em escala. Desenvolver agentes inteligentes, aplicações baseadas em LLMs e integrações via APIs. Atuar com LLMOps, garantindo qualidade, segurança,…
The Lead Program Manager will oversee the design, implementation, and operational launch of a large-scale Agentic AI platform for telecommunications networks. The role requires deep expertise in AI/ML, cloud-native technologies, and network operations to drive autonomous network transformation.
AI DevOps Engineer designing, automating, and securing AWS cloud-native infrastructure while integrating AI-powered tools into CI/CD pipelines, observability, security, and infrastructure automation.
The DevOps Engineer will design and maintain scalable cloud infrastructure and CI/CD pipelines to support AI and Generative AI platforms. The role focuses on MLOps, container orchestration with Kubernetes, and infrastructure automation using Terraform.
The Senior AI & Machine Learning Engineer will design, build, and deploy enterprise-scale AI solutions using technologies such as Generative AI, LLMs, RAG, and MLOps. The role requires 10-15 years of experience in IT and deep expertise in machine learning frameworks and cloud-based AI platforms.
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans…
Job Title : AI Architect Location : Houston, TX Job Description Technical Skills: Strong expertise in AI/ML technologies: Generative AI (LLMs, prompt engineering, RAG) Machine learning model development and deployment…
The Associate Director of Platform Engineering will lead the team managing hybrid compute infrastructure, developer platforms, and scientific compute environments for drug discovery. The role involves setting architectural strategy for Kubernetes-based clusters and MLOps pipelines while collaborating with data science and engineering teams.
Build and maintain the core infrastructure platform that standardizes deployments, Kubernetes clusters, MLOps, and authentication for engineering teams.
Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity…
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