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Join Ferrovial: Where Innovation Meets Opportunity Are you ready to elevate your career with a global leader in infrastructure solving complex problems and generating a positive outcome on people’s lives? At Ferrovial…
Lead the design and deployment of advanced AI/ML models and statistical solutions for government missions, working on-site to extract insights from complex datasets using Python, R, and SQL.
Design and deploy cutting-edge AI/ML applications, including LLMs and computer vision, in a defense-focused R&D environment requiring Secret clearance.
Build and scale ML systems for identity resolution, audience intelligence, and personalization across WBD’s streaming brands using Databricks, Snowflake, and AWS.
Lead the delivery of a unified, multi-tenant data platform for a real-estate tech company, modernizing legacy systems to a Snowflake-based Data Lakehouse and coordinating cross-team migrations.
Design and maintain AWS cloud infrastructure for AI/ML systems, including GPU clusters, CI/CD pipelines, and observability, while collaborating with AI engineers and data scientists.
Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and…
This is an exciting opportunity to join Experience and Transformation as a Consulting Solutions Architect. We have a wide-ranging client list, working with some of the biggest and innovative brands in the UK across…
As an Advanced AI Engineer at Honeywell Aerospace, you will provide technical contributions to the development of AI-driven engineering design tools and physics-based machine learning models. This role focuses on…
Field engineer helping global partners (OEMs, cloud providers, integrators) adopt Ubuntu, Kubernetes, OpenStack and open-source stacks; designs joint solutions and runs technical workshops worldwide.
This is an opportunity to run a field engineering team, helping customers understand and implement Canonical's open source solutions in public clouds and in their own data centers. We work across the entire…
This is an opportunity to run a Professional Services team (also known as Field Engineering) team, helping customers understand and implement Canonical's open source solutions in public clouds and in their own data…
Design and validate cloud-native solutions (Kubernetes, OpenStack, AI/MLOps) for Canonical’s global partners, integrating Ubuntu and open-source stacks across public/private clouds.
Lead a global team of engineers to build and maintain MLOps and analytics infrastructure using Kubeflow, MLFlow, and Feast, while mentoring engineers and driving team productivity.
Drive product strategy for open-source software at Canonical, collaborating with global teams to deliver Ubuntu and related solutions across AI, cloud, IoT, and enterprise markets.
Design and deploy AI/ML infrastructures and MLOps solutions on Ubuntu, Kubernetes, and cloud platforms for global enterprises, using open-source tools like Kubeflow and MLFlow.
Drive open-source product strategy at Canonical, shaping Ubuntu and adjacent offerings across AI, cloud, IoT, and enterprise verticals while collaborating with global teams.
Build and maintain open-source data, workflow, and AI/ML solutions using Python, Kubernetes, and tools like Kubeflow and Airflow for global cloud and on-prem deployments.
Solutions Architect designs and pitches open-source Linux-based solutions for automotive clients, integrating Ubuntu, embedded Linux, and cloud tech to enable Software Defined Vehicles.
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