Top 52 Lead machine learning engineer Jobs in Boston, Ma

Lead AI/ML Engineer-Remote Nationwide or Hybrid in MN/DC
UnitedHealth Group —Boston, MA
- $145,500 - $249,500 a year
- Full-time
- Hybrid work
- Azure
- Pass drug screening
- System design
Staff Machine Learning Engineer, Technical Lead
Paperless Parts —Boston, MA
- $195,000 - $263,000 a year
- Full-time
- Computer Science
- Office
- 8 years
- Paid holidays
- Dental insurance
Quick Apply
Lead Machine Learning Engineer (Manager IC)
Information Technology Senior Management Forum —Cambridge, MA
- $179,400 - $225,100 a year
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Lead Machine Learning Engineer
Capital One —Cambridge, MA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Lead Analytics Engineer
Forward Financing —Boston, MA
- $160,000 - $185,000 a year
- Full-time
- Remote
- 6 years
- SQL
- Mentoring
Technical Lead, ML Operations
WHOOP —Boston, MA
- $150,000 - $215,000 a year
- Full-time
- Computer science
- 7 years
- Computer Science
Lead Machine Learning Engineer (Manager IC)
Capital One —Cambridge, MA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Lead Director, Software Engineering
CVS Health —Boston, MA
- $144,200 - $288,400 a year
- Full-time
- Computer Science
- System design
- HIPAA
- Health insurance
- Dental insurance
11d
Lead Software Engineer, Data and MarTech
America's Test Kitchen —Boston, MA
- $140,000 - $160,000 a year
- Full-time
- Remote
- Bachelor of Science
- 3 years
- Senior level
Quick Apply
Principal Engineer Tech Lead Manager, ML Acceleration
Motional —Boston, MA
- $240,000 - $330,000 a year
- Remote
- Computer science
- Azure
- Computer Science
Quick Apply
Lead Systems Engineer
The MITRE Corporation —Bedford, MA
- Full-time
- 3 years
- Master's degree
- Analysis skills
16h
AI Transformation & Solutions Lead
Accenture —Boston, MA
- $87,400 - $224,600 a year
- Full-time
- Hybrid work
- 5 years
- US work authorization
- Military encouraged
- Paid holidays
- Disability insurance
Data Engineering & Pipelining Lead
Arrayo —Boston, MA
- Azure
- Computer Science
- Bachelor of Science
Oracle Utilities - Automation Lead
Accenture —Boston, MA
- $122,700 - $302,400 a year
- Full-time
- US work authorization
- Military encouraged
- Experience equivalent to degree accepted
- Paid holidays
- Disability insurance
7d
Lead Research Scientist - Machine Learning (Clearance Required)
STR —Boston, MA
- $174,000 - $220,000 a year
- Email
- Computer science
- Computer Science
- 5 years
Lead AI/ML Software Engineer
Raft Company Website —Boston, MA
- $180,000 - $230,000 a year
- Call employer
- Remote
- 6 years
- System design
- Travel
- Paid training
- Paid holidays
Technical Delivery Lead - Applications, Google Cloud
Accenture —Boston, MA
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- SQL
- Paid holidays
- Disability insurance
8d
Senior Lead AI Engineer (LLM Customization and Finetuning)
Information Technology Senior Management Forum —Cambridge, MA
- $229,900 - $262,400 a year
- Email
- Azure
- Computer Science
- Java
- Health insurance
2d
Lead AI/ML Engineer-Remote Nationwide or Hybrid in MN/DC
Optum —Boston, MA
- $145,500 - $249,500 a year
- Full-time
- Hybrid work
- Azure
- Pass drug screening
- System design
Lead Data Scientist
Pursuit Aerospace —Malden, MA
- $144,000 - $198,000 a year
- Full-time
- Remote
- Azure
- Ability to walk for extended periods
- ERP systems
- Paid holidays
- Disability insurance
Quick Apply

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lead machine learning engineer jobs near boston, ma

Lead AI/ML Engineer-Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group -
Boston, MA

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Job Details

Full-time
$145,500 - $249,500 a year

Qualifications

AI models
Containerization systems
Software engineering
Azure
Continuous Delivery (CD) implementation
System performance optimization
Generative models
AI platforms (beyond public GPTs)
Computational framework
Machine learning cloud services
AWS
Machine intelligence
Model deployment
Version control systems
Developing large-scale AI models
DevOps automation
Machine learning libraries
Model evaluation
Machine learning frameworks
Python
MLOps
Generative AI
Providing code feedback

Full Job Description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Our Value Connect team is building an AI-first platform for value-based care that uses ML, LLMs, agents, and automation to improve provider performance, care outcomes, cost management, and operational efficiency. The team is developing capabilities such as Predictive Models, conversational AI assistants, Agentic workflows, MLOps, Registry automation, Ambient listening etc. The Lead AI/ML Engineer will provide hands-on technical leadership to build scalable, production-ready AI/ML solutions that convert complex healthcare data into actionable workflows for care, quality, finance, and provider enablement teams.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

Lead the design, architecture, and end-to-end implementation of AI/ML, GenAI, RAG-based, and agentic solutions
Apply machine learning, deep learning, statistical, and Generative AI techniques to solve complex clinical, operational, and financial business problems
Build, validate, optimize, and tune AI/ML models, including fine-tuning, quantization, performance tuning, and cost optimization
Develop and maintain production-grade APIs, such as FastAPI or REST services, to expose AI capabilities at scale
Own MLOps practices, including model versioning, lifecycle management, CI/CD, monitoring, logging, drift detection, and reliability
Deploy and operate AI workloads on cloud platforms such as Azure or AWS using containerization, Databricks, PySpark, and modern data platforms
Establish engineering best practices for software quality, testing, security, responsible AI, design reviews, and code reviews
Partner with product, data science, clinical, and business stakeholders while mentoring engineers and evaluating emerging AI technologies
Leverage enterprise-approved AI tools and technologies to streamline developer workflows, automate tasks, and drive continuous improvement across the platform

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

Bachelor's degree with 6+ years, or Master's with 4+ years, or PhD with 3+ years of relevant experience in AI/ML engineering or related fields
3+ years of hands-on experience building, validating, tuning, and evaluating classical ML, deep learning, and Generative AI models
3+ years of professional experience writing production-grade code in Python and utilizing modern ML/AI libraries
2+ years of experience building and deploying AI systems utilizing RAG frameworks, vector databases, or orchestration libraries (e.g., LangChain, LangGraph)
Experience deploying, operating, and managing MLOps workloads on cloud platforms (Azure, AWS) utilizing containerization
Experience applying core software engineering practices, including version control (GitHub), code reviews, and CI/CD pipelines

Preferred Qualifications:

Experience in healthcare technology, clinical data processing, or value-based care platforms
Experience with distributed computing technologies (e.g., Spark, Databricks)
Experience with model optimization techniques such as quantization, fine-tuning, and model compression
Proven ability to translate complex business requirements into scalable technical solutions and communicate them to non-technical stakeholders

All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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Refine Your Search

lead machine learning engineer jobs in boston, ma

Lead AI/ML Engineer-Remote Nationwide or Hybrid in MN/DC

Staff Machine Learning Engineer, Technical Lead

Lead Machine Learning Engineer (Manager IC)

Lead Machine Learning Engineer

Lead Analytics Engineer

Technical Lead, ML Operations

Lead Machine Learning Engineer (Manager IC)

Lead Director, Software Engineering

Lead Software Engineer, Data and MarTech

Principal Engineer Tech Lead Manager, ML Acceleration

Lead Systems Engineer

AI Transformation & Solutions Lead

Data Engineering & Pipelining Lead

Oracle Utilities - Automation Lead

Lead Research Scientist - Machine Learning (Clearance Required)

Lead AI/ML Software Engineer

Technical Delivery Lead - Applications, Google Cloud

Senior Lead AI Engineer (LLM Customization and Finetuning)

Lead AI/ML Engineer-Remote Nationwide or Hybrid in MN/DC

Lead Data Scientist

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