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Platform Architect bridging ML infrastructure and SRE on GCP — you'll design and operate model serving, inference infrastructure, reproducible ML pipelines, and GitOps workflows using Terraform, Kubernetes (GKE), ArgoCD, and BigQuery.
UFORCE exists to make aggression unaffordable. Founded in Ukraine and headquartered in London, UFORCE is a defence-technology company with operations across Europe, the United States and Asia. UFORCE builds uncrewed…
This role involves building and owning the MLOps and observability stack for a new European cloud platform, focusing on Kubernetes-based services like Kubeflow and Airflow. The engineer will design scalable infrastructure, develop APIs, and maintain production reliability using Go and Python.
The Senior Software Engineer will build and maintain MLOps and observability services for a new European cloud platform based on Kubernetes and open-source technologies. The role involves end-to-end ownership of tools like Kubeflow, Airflow, and monitoring stacks, utilizing Go and Python to design scalable cloud infrastructure.
An MLOps Engineer leads technical initiatives, designs scalable ML systems, and mentors teams to implement end-to-end ML workflows using AWS/Azure, Kubernetes, and MLOps tools like MLflow and Kubeflow.
Staff Engineer leading architecture, design, and hands-on development of enterprise AI/GenAI solutions—LLMs, RAG, and agentic workflows—using Python, FastAPI, LangChain/LangGraph, and Azure OpenAI at a global life-sciences company.
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) for scientific/healthcare systems, integrating models into backend services and cloud platforms.
Build and maintain scalable MLOps platforms and pipelines supporting drug discovery at Amgen, using Python, AWS/Databricks, and AI/ML frameworks to productionize models from classical ML to LLMs.
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data…
Lead AI/ML Engineer defining architecture and strategy for enterprise AI/ML pipelines, mentoring teams, and integrating LLMs and Generative AI into production using Python, cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and MLOps tooling.
Senior Machine Learning Engineer at PhysicsX builds and deploys AI models for engineering simulation, working directly with customers to integrate ML into production tools using Python, PyTorch, and cloud/on-prem pipelines.
Overview At SCA Health, we believe healthcare is about people – the patients we serve, the physicians we support and the teammates who push us forward. Behind every successful facility, procedure or innovation is a…
Design and ship production ML/AI systems—LLM assistants, chatbots, recommenders, spam detection, and search—at TradingView's Limassol office, using Python/Go with Docker, Kubernetes, and MLOps infrastructure.
Senior AI Engineer at PwC Greece's Process Excellence & Intelligence team in Athens, building and deploying agentic AI systems, RAG pipelines, and ML models to optimize client operations using Python, PyTorch/TensorFlow, and Azure/AWS/GCP.
Senior Associate Data Scientist developing and deploying ML/forecasting models to support business decision-making at Amgen's Hyderabad office, using Python, SQL, and MLOps practices across the full model lifecycle.
The Senior Specialist, Data Science will design and maintain automated ELT pipelines using dbt Core and GCP, while managing infrastructure via Terraform and supporting MLOps initiatives. The role focuses on building scalable data architectures, optimizing BigQuery performance, and integrating enterprise data sources.
As a Senior Advanced AI Engineer at Honeywell, you will be a driving force in designing, developing, and deploying end-to-end cloud and AI/ML solutions aimed at bringing autonomous capabilities to Honeywell products…
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) by designing Python microservices, APIs, and cloud-integrated systems for Thermo Fisher’s scientific and healthcare applications.
