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Senior Machine Learning Engineer Jobs in Wiscasset, ME

Welder Fabricator

Lewiston, ME

$21 - $27/hr

Senior plc is an international, market-leading, engineering solutions provider with 30 operating ... Must have sufficient visual acuity to operate machines and visually inspect parts produced. * Able ...

Welder Fabricator

Lewiston, ME ยท On-site

$21.25 - $27.50/hr

Senior plc is an international, market-leading, engineering solutions provider with 30 operating ... Must have sufficient visual acuity to operate machines and visually inspect parts produced. * Able ...

As our new mid to senior-level Transportation or Civil Engineer , you will play an important role ... interest in learning a plus * Must be detail oriented, thorough, well organized, and able to ...

Transportation Engineer

Portland, ME ยท On-site

$85K - $120K/yr

As our new mid to senior-level Transportation or Civil Engineer , you will play an important role ... interest in learning a plus * Must be detail oriented, thorough, well organized, and able to ...

CNC Machinist

Rockland, ME

$21 - $28.50/hr

HOW YOU WILL CONTRIBUTE Operate a variety of manual and CNC machine tools to process raw materials ... Fabricate new tooling/fixtures per engineering designs. * Follow a maintenance schedule for tooling ...

CNC Machinist

Rockland, ME ยท On-site

$21 - $28.50/hr

HOW YOU WILL CONTRIBUTE Operate a variety of manual and CNC machine tools to process raw materials ... Fabricate new tooling/fixtures per engineering designs. * Follow a maintenance schedule for tooling ...

Vice President of Marketing

Brunswick, ME ยท On-site

$250 - $350/hr

A member of the Senior Leadership Team, the Vice President of Marketing is the enterprise leader ... Evaluate role of technology, AI, and machine learning for scaling and automating key processes of ...

Senior Project Manager- Naval Shipyard

Bath, ME ยท On-site

$125K - $150K/yr

Coordinate with customers, engineers, estimators, production teams, subcontractors, and vessel ... If you are interested in learning more about this role, please submit your resume for immediate ...

We're actively looking for Senior Level Waterfront Engineers to join our growing team. This fully ... Learning and development supported by evolving tools and technologies, including AI * Best-in-class ...

Showing results 41-60

Senior Machine Learning Engineer information

See Wiscasset, ME salary details

$59.9K

$127.4K

$184.8K

How much do senior machine learning engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for senior machine learning engineer in Wiscasset, ME is $127,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $144,500.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What cities near Wiscasset, ME are hiring for Senior Machine Learning Engineer jobs?

Cities near Wiscasset, ME with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Wiscasset, ME as of June 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $127,441 per year, or $61.3 per hour.

Engineering/Science Postdoctoral Fellow

Northeastern University

Portland, ME โ€ข On-site

$50K - $68K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

About the Opportunity
About the Roux Institute
The Roux Institute is designed as an engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high-growth sectors. Together, we envision an innovation corridor that in the coming years will stretch from Boston to Portland and beyond.
Job Summary
The Postdoctoral Research Associate will engage in both fundamental and applied research in the field of advanced manufacturing, with direct relevance to aerospace lightweighting, hypersonic systems, and naval shipbuilding. The Fellow will contribute to ongoing research programs by developing experimental methodologies, computational models, and performing hands-on laboratory investigations.
Key responsibilities include generating high-impact scientific publications and technical reports, contributing to additive manufacturing workforce development programs, and mentoring undergraduate and graduate students engaged in related projects. The Fellow will work in close collaboration with Professor Andrew Neils on the Roux Institute's Engineering team at both the Portland, ME and Brunswick, ME campuses.
This position will support several projects funded by the U.S. Department of Defense. Background checks and other clearances may apply.
Minimum Qualifications
Required
  • Ph.D. earned in mechanical engineering, materials science, physics, or a closely related discipline.
  • Demonstrated expertise in the characterization and testing of crystalline materials, including metals and ceramics.
  • Strong background in additive manufacturing processes and the mechanics of materials.
  • Ability to work both independently and as part of a multidisciplinary team.

Preferred
  • Familiarity with data-driven engineering methods, particularly those leveraging artificial intelligence or machine learning.

Key Responsibilities & Accountabilities
1. Initiate, Execute, and Complete Advanced Manufacturing Related Research and Training Programs (50%)
  • Design and execute experimental investigations into process-structure-property relationships for advanced engineering materials (e.g., high temperature refractory alloys and their coatings).
  • Develop curriculum and deliver hands-on cold spray additive manufacturing training and lab technician instruction as part of active Department of Defense workforce development programs.
  • Operate cold spray additive manufacturing systems, with occasional contributions to powder bed fusion and directed energy deposition programs.
  • Collect process and property data and develop data architectures and tools for automating data analysis. Relevant software platforms include Matlab and Python.
  • Develop physics-based computational models (e.g., finite element analysis) to complement and contextualize experimental findings.
  • Apply CAD tools such as ANSYS and SolidWorks to produce geometric models for experimental specimens, including metamaterial and lattice structures as needed.

2. Prepare and Write Technical Reports and Manuscripts for Peer Review (25%)
  • Lead technical writing of sponsored program reports.
  • Lead or contribute to three or more peer-reviewed publication submissions per year.

3. Mentoring, Collaboration, and Support (25%)
  • Mentor and train undergraduate and graduate students.
  • Support Roux Engineering team proposal development.
  • Perform lab management duties as needed.
  • Support Roux external industry and academic collaborations.
About the Roux Institute
The Roux Institute is designed as an engine of innovation, talent-building, and economic growth for Portland, Maine, and northern New England. We are nurturing an environment for high-impact research and innovation in computer and data science, digital engineering, the advanced life sciences and medicine, and other tech fields. Partnership is what sets our education and research model apart. With leading companies at the table from day one, we are creating an agile workforce prepared to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high- growth sectors. Together, we envision an innovation corridor that in the coming years will stretch from Boston to Portland and beyond.
Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
108S
Expected Hiring Range:
$60,315.00 - $85,192.50
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.