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Trading Operations Engineer Jobs in Roxbury Crossing, MA

Onramp

Devops / Platform Engineer

Boston, MA · On-site +1

$57.25 - $78.50/hr

And like everyone on this team, you'll use AI itself as a core tool of the trade: agents and LLM ... Attack DevOps problems with AI: use coding agents and LLM tooling to write and refactor ...

Cushman & Wakefield

Operating Engineer

Boston, MA · On-site

$75K - $102K/yr

Job Title Operating Engineer Summary Responsible to ensure the efficient operation and maintenance ... trade school preferred IMPORTANT EXPERIENCE • 5+ years of related work experience in operating ...

Cushman & Wakefield

Operating Engineer

Boston, MA · On-site

$75K - $102K/yr

Job Title Operating Engineer Summary Responsible to ensure the efficient operation and maintenance ... trade school preferred IMPORTANT EXPERIENCE • 5+ years of related work experience in operating ...

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Trading Operations Engineer information

See Roxbury Crossing, MA salary details

$39.1K

$92.3K

$146.6K

How much do trading operations engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for trading operations engineer in Roxbury Crossing, MA is $92,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $102,000.00 per year, depending on experience, location, and employer.
Infographic showing various Trading Operations Engineer job openings in Roxbury Crossing, MA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $92,311 per year, or $44.4 per hour.

Machine Learning Operations Engineer II

Cambridge, MA • On-site

S&P Global
See more jobs at S&P Globalexternal

Full-time

Re-posted 12 days ago

S&P Global rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
S&P Global's Kensho is a hub for AI innovation, focusing on machine learning and data discovery. The MLOps Engineer will enhance ML processes and tools, collaborating with engineers to improve the development and deployment of ML models and applications.
Responsibilities:
• Iterate on Kensho’s ML processes to develop tools, services, and frameworks that make every stage of the ML workflow robust, auditable, and usable.
• Work closely with ML engineers to understand their unique processes, identify pain points, and form effective solutions.
• Empower engineers with the stable tooling necessary to rapidly experiment and actualize their research into demonstrable prototypes and mature products
• Provide resources and training for ML teams on best practices, enabling them to efficiently productionize their work to be leveraged by high-value products and services
• Evaluate, select and champion open source and third-party solutions, driving their adoption across teams and integrating into Kensho’s existing platform ecosystem
• Ship scalable, efficient, and automated processes for model fine-tuning and reinforcement learning and for the evaluation of LLMs/Agents
• Improve LLM and Agentic observability to help monitor agentic applications in production, detecting performance, decay and drift issues
• Stay at the frontier by actively tracking emerging tools and frameworks, promote best practices and strengthen the technical expertise of the team with your unique skill set
Qualifications:
Required:
• 2+ years of experience in ML infra, ML Ops, ML Engineering or some similar skillset
• Experience managing distributed systems with Kubernetes. It is important to understand Kubernetes concepts and trade-offs
• Cloud Platform (AWS) understanding. We utilize tools like EKS and managed ML services like Bedrock and SageMaker
• Python proficiency (we are a python shop mostly)
• Familiarity with distributed computing frameworks and workflow orchestration (ie. Ray, Airflow)
• Familiarity with software engineering best practices in an ML context
• Some basic understanding of ML concepts, LLMs and agents
• Ability to debug distributed systems across infrastructure, networking and application layers
• Excellent communication skills to drive adoption of new tools and best practices across multiple teams
• Someone who’s very curious, driven, low-ego and eager to learn across a range of engineering disciplines, while being part of a fantastic team
Preferred:
• Experience with Agentic AI systems, tools, frameworks and workflows
• Experience with running workflows on Ray
• Experience with MCP server patterns
Company:
S&P Global is a market intelligence company that provides financial information and data analytics services. Founded in 1860, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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