Our client, a major insurance and financial services institution, is seeking a Machine Learning Engineer to support the development and delivery of data-driven solutions across key initiatives. The role focuses on building and maintaining data pipelines, enabling analytics, and deploying production-ready solutions that support decision-making across insurance and wealth management functions.
This role sits at the intersection of data engineering and applied machine learning, where you will help transform complex, multi-source data into scalable solutions and actionable insights. You’ll collaborate closely with cross-functional teams to understand business needs, operationalize models, and improve how data is leveraged across the organization.
Hybrid opportunity in Boston, MA.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience)
4+ years of experience in data engineering, analytics engineering, or machine learning engineering roles
Strong programming skills in Python and/or other modern languages
Advanced SQL skills and experience working with relational databases
Experience building and maintaining data pipelines and workflows
Experience transforming and preparing data for analytics and reporting
Familiarity with data visualization tools (e.g., Tableau, Power BI, or similar)
Strong analytical and problem-solving skills
Ability to work with complex datasets across multiple systems
Strong communication skills with the ability to translate technical concepts into business terms
Experience deploying or supporting machine learning models in production environments
Familiarity with large-scale or distributed data processing environments
Understanding of structured and unstructured data systems
Exposure to statistical modeling or machine learning techniques
Familiarity with modern data modeling approaches
Experience within insurance, financial services, or wealth management environments
Ability to explore large datasets and generate actionable insights
Experience mentoring junior team members
Build, maintain, and optimize data pipelines to support analytics and model deployment
Partner with stakeholders to identify, access, and understand data sources
Transform and stage data for analytics, reporting, and data science use cases
Support deployment and monitoring of machine learning solutions
Develop and manage datasets, tables, and database structures
Perform data analysis to generate insights and business recommendations
Translate technical findings into clear, actionable insights for stakeholders
Collaborate with data scientists and engineers to productionize solutions
Measure and evaluate performance of models and data-driven solutions
Mentor junior team members and contribute to team best practices
Document workflows, datasets, and processes
30% Data Engineering & Pipeline Development
25% Machine Learning Support & Productionization
20% SQL & Data Transformation
15% Analytics & Visualization
10% Stakeholder Collaboration
65% Hands-On Development & Data Work
20% Analysis & Insight Generation
15% Team Collaboration & Communication
Bonus eligible
You will receive the following benefits:
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) (including match, if applicable)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Machine Learning Engineer • Boston, MA, United States
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