Algorithm Development Workbench Architect - Remote - $80/hr

Summary: The Algorithm Development Workbench Architect is responsible for defining the architecture and design of an algorithm development workbench, ensuring secure data access and compliance with regulatory standards. The role involves integrating machine learning platforms, managing experiment tracking, and collaborating with stakeholders to deliver a robust solution for clinical and regulatory purposes. The architect will also oversee the promotion pathway from experimentation to model validation, ensuring reproducibility and compliance with GxP requirements.

Key Responsibilities:

• Define the end-to-end architecture of an algorithm development workbench, covering environment provisioning, data access patterns, experiment lifecycle management, and compute resource orchestration
• Design secure, scoped data access mechanisms enabling data scientists to access versioned imaging datasets and annotations without violating data governance or PHI boundaries
• Architect experiment tracking and lineage capabilities, ensuring full reproducibility of model training runs from data version through hyperparameters to model artifact
• Define the promotion pathway from exploratory experimentation to regulatory-grade model validation, including audit trail and artifact management requirements
• Integrate workbench tooling with underlying data lake and imaging platform layers, including versioned dataset APIs, annotation outputs, and study-level data packages
• Define compute environment standards for model training workloads, including GPU resource management, containerization, and dependency isolation
• Establish standards for model packaging, versioning, and handoff to downstream deployment or regulatory validation pipelines
• Collaborate with data architects to define the data access API surface exposed to workbench consumers
• Ensure workbench architecture meets GxP and SaMD requirements for software used in algorithm development for clinical or regulatory purposes
• Design audit trail and logging capabilities covering data access, experiment execution, model versioning, and promotion decisions
• Support IQ/OQ/PQ validation activities and produce required architecture documentation for Computer Software Assurance (CSA) qualification
• Serve as the primary technical lead for the workbench workstream, engaging with client data science, architecture, and regulatory stakeholders
• Partner with the imaging platform and data architecture workstreams to resolve cross-cutting dependencies
• Contribute to program-level architecture reviews, technical risk identification, and milestone delivery planning

Key Skills:

• 10+ years of experience in software or platform architecture, with at least 4 years focused on ML platforms, MLOps, or algorithm development infrastructure
• Strong background in designing MLOps platforms: experiment tracking, model registries, reproducibility pipelines, and deployment workflows
• Hands-on experience with cloud-native ML platform services, including AWS SageMaker, Google Vertex AI, or equivalent managed ML infrastructure
• Experience with statistical computing and data science environments such as Posit (formerly RStudio) Workbench or equivalent platforms used in regulated research settings
• Familiarity with high-performance computing (HPC) environments and GPU cluster architectures for large-scale model training workloads
• Hands-on experience with cloud-native compute environments on AWS, including container orchestration, IAM, storage integration, and GPU resource management
• Experience integrating ML workbenches with upstream data lakes or feature stores, including versioned data access patterns
• Demonstrated ability to deliver within regulated environments, with familiarity in GxP, 21 CFR Part 11, or IEC 62304 requirements
• Strong communication and stakeholder management skills, with experience translating data science and ML requirements into platform architecture decisions

Salary (Rate): £80 hourly

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT