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This senior technical leadership role involves defining the strategy and technical direction for an AI platform engineering unit within a major organization. The position requires a leader capable of driving MLOps excellence and guiding teams in a hybrid, London-based environment.
Additional Location(s): US-MA-Marlborough; US-MN-Arden Hills Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness…
Hex Technologies is hiring an AI Research Engineer to build and scale AI-powered features like the Notebook Agent for their data science platform. The role involves running experiments, fine-tuning models, and managing AI infrastructure using Python, TypeScript, and modern cloud technologies.
Liablix is seeking a Founding DevOps/Platform Engineer to design cloud infrastructure, manage CI/CD pipelines, and establish MLOps foundations for their AI-driven road accident analysis platform.
Data Scientist, P&C Insurance - Remote Upland Capital Group, Inc. is an AM Best rated “A-” VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland…
MLOps Engineer designing, deploying, and managing scalable machine learning pipelines in production with CI/CD, automation, and enterprise system integration.
Staff ML Engineer designing, building, and scaling production ML/AI systems—including LLMs, embeddings, recommendation systems, and forecasting—on a modern data platform using Python, SQL, and tools like Snowflake or Databricks for a SaaS client-experience platform serving appointment-based self-care businesses.
Designs, builds, and deploys enterprise-scale AI solutions including GenAI agents, RAG pipelines, and LLM-driven workflows using Azure AI services, while ensuring scalability, security, and Responsible AI compliance.
Design, build, and maintain cloud infrastructure and CI/CD pipelines for AI-powered platforms using Kubernetes, Terraform, and AWS/GCP/Azure.
Senior engineer designs, builds, and secures Azure cloud infrastructure for data and analytics workloads using Terraform and Azure DevOps, deploying services like Databricks and Data Factory in a hybrid Canberra role.
The GCP Data & MLOps Engineer will design and operate cloud-native data and AI/ML platforms using GCP, Python, Dataflow, and BigQuery. The role focuses on building data pipelines, automating model lifecycles, and developing REST APIs.
The Senior Azure Cloud Engineer will design, build, and maintain cloud infrastructure for data and analytics workloads using Terraform and Azure DevOps. This role requires working within a hybrid environment in Canberra and necessitates an Australian citizenship and the ability to obtain a Negative Vetting Level 1 security clearance.
The Senior Azure Cloud Engineer will design, build, and maintain cloud infrastructure for data and analytics workloads using Terraform and Azure DevOps. The role requires Australian citizenship and the ability to obtain a Negative Vetting Level 1 security clearance for a hybrid position in Canberra.
Designs and deploys Azure-based data/analytics infrastructure using Terraform, collaborates on AI/ML projects, and ensures scalable cloud solutions with MLOps practices.
The GCP Data & AI/MLOps Engineer will design and maintain secure, scalable data pipelines and machine learning workflows on Google Cloud Platform. The role involves implementing MLOps practices, automating cloud deployments, and developing web applications to support mission-critical AI and data solutions.
Build GCP data pipelines using Dataflow and Apache Beam Deliver MLOps, Kubeflow and AI/ML platform solutions Develop Python, Django, REST APIs and CI/CD automation Build GCP data pipelines using Dataflow and Apache…
Senior AI DevOps/MLOps Engineer working on-site in Larnaca, building and maintaining CI/CD pipelines and infrastructure using Azure DevOps, Kubernetes, Docker, and scripting with PowerShell, Python, or Bash.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
This role involves leading workforce strategy and technical capability development for AI, Machine Learning, and Data Engineering teams. The specialist will oversee project delivery, mentor engineers, and design upskilling programs focused on modern data stacks, GenAI, and MLOps.
Lead the strategy, governance, and operational excellence of enterprise cloud data and AI platforms, managing engineering teams and overseeing Azure-based modernization initiatives to ensure platform reliability, security, and performance.
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