Senior ML Engineer

Job Description


Join a global leader in legal, regulatory, and business information as a Senior Machine Learning Engineer supporting a next-generation AI Platform team. This is a 6-12 month remote contract-to-hire opportunity. You'll help build and scale enterprise AI platforms leveraging LLMs, RAG architectures, agentic AI frameworks, distributed ML systems, Kubernetes, Python, and cloud technologies that power mission-critical applications used around the world.


This is a rare opportunity to influence the future of enterprise AI at scale. The team is building the foundational infrastructure behind advanced AI products and is looking for someone who can architect complex AI systems, establish engineering standards, and guide the evolution of agentic workflows across the organization.


Contract Duration: 6-12 Months (Contract-to-Hire)
Required Skills & Experience
• PhD in a relevant field or 8+ years of experience with a Master's degree or 12+ years of experience with a Bachelor's degree
• 8+ years building production-scale machine learning systems
• Extensive experience with LLMs, Generative AI, and RAG architectures
• Strong Python development background
• Experience architecting distributed systems in AWS, Azure, or GCP
• Hands-on experience with Kubernetes, containerization, and scalable inference platforms
• Experience developing agentic AI systems and tool orchestration frameworks
• Experience implementing or managing MCP servers and structured tool-calling architectures
• Deep understanding of MLOps, observability, reliability, and model evaluation
• Strong system design and architecture experience
Desired Skills & Experience
• Experience building enterprise AI platforms at scale
• Background with vector databases and semantic search technologies
• Responsible AI and governance experience
• Proven ability to influence cross-functional technical direction
• Experience mentoring senior engineers
• Strong communication and stakeholder management skills
• Experience operating within highly regulated or enterprise environments
What You Will Be Doing
Tech Breakdown
• 40% LLMs, RAG, and Agentic AI Systems
• 30% Distributed Systems & Cloud Architecture (AWS/Azure/GCP)
• 20% MLOps, Platform Engineering & Reliability
• 10% Technical Leadership & Mentorship


Daily Responsibilities
• 80% Hands On
• 5% Management Duties
• 15% Team Collaboration


You'll design scalable AI platform architecture, build enterprise-grade agent systems, define standards for tool orchestration and MCP integration, establish AI governance and security controls, improve ML platform reliability, and partner with engineering leaders to shape the long-term AI strategy across the organization.


You will receive the following benefits:

• Medical Insurance - Four medical plans to choose from for you and your family
• Dental & Orthodontia Benefits
• Vision Benefits
• Health Savings Account (HSA)
• Health and Dependent Care Flexible Spending Accounts
• Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
• Hospital Indemnity Insurance
• 401(k) including match with pre and post-tax options
• Paid Sick Time Leave
• Legal and Identity Protection Plans
• Pre-tax Commuter Benefit
• 529 College Saver Plan

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP's Employment Accommodation policy. Applicants need to make their needs known in advance.