Machine Learning Engineer

Job Description

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.

Required Skills & Experience

• 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

Desired Skills & Experience

• 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

What You Will Be Doing

• 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

Tech Breakdown

• 30% Data Engineering & Pipeline Development

• 25% Machine Learning Support & Productionization

• 20% SQL & Data Transformation

• 15% Analytics & Visualization

• 10% Stakeholder Collaboration

Daily Responsibilities

• 65% Hands-On Development & Data Work

• 20% Analysis & Insight Generation

• 15% Team Collaboration & Communication

The Offer

• 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.