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Senior Machine Learning Engineer Jobs in Maine (NOW HIRING)

Senior Software Engineer

Westbrook, ME · On-site

$124K - $164K/yr

We are seeking an experienced Machine Learning Engineer to join the Machine Learning Operations team in Client's R&D AI Center of Excellence. In this role, you will build and operate the ...

... senior professionals in the field. Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature engineering. • Train, evaluate, and compare machine learning models ...

The role is designed for early-career data scientists who will work under the guidance of senior ... engineering. * Train, evaluate, and compare machine learning models under supervision. * Assist ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The role is designed for early-career data scientists who will work under the guidance of senior ... engineering. * Train, evaluate, and compare machine learning models under supervision. * Assist ...

Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature engineering. • Train, evaluate, and compare machine learning models under supervision. • Assist with ...

Interpret engineering drawings, blueprints, and GD&T specifications to ensure parts meet design requirements and tolerances. * Install tooling, fixtures, and raw materials while configuring machine ...

Showing results 41-60

Senior Machine Learning Engineer information

See Maine salary details

$57.6K

$122.5K

$177.7K

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

As of Aug 12, 2026, the average yearly pay for senior machine learning engineer in Maine is $122,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $138,900.00 per year, depending on experience, location, and employer.

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 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 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 are the most commonly searched types of Machine Learning Engineer jobs in Maine? The most popular types of Machine Learning Engineer jobs in Maine are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Maine? For Senior Machine Learning Engineer jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Maine look for? The top searched job categories for Senior Machine Learning Engineer jobs in Maine are:
What cities in Maine are hiring for Senior Machine Learning Engineer jobs? Cities in Maine with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Maine as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,532 per year, or $58.9 per hour.

Senior Software Engineer

Compunnel

Westbrook, ME • On-site

$124K - $164K/yr

Contractor

Posted 26 days ago


Job description

We are seeking an experienced Machine Learning Engineer to join the Machine Learning Operations team in Client's R&D AI Center of Excellence. In this role, you will build and operate the infrastructure that turns Data Scientists' models into production systems - from scalable training and inference pipelines to optimized on-device deployment on edge hardware. The Machine Learning Operations team supports all projects in the Center of Excellence, including Client's inVue Dx's computer vision and microscopy-based diagnostics, and you will contribute to high impact problems.
Job Description:
Partner with Data Scientists to productionize machine learning and computer vision models, and implement scalable, efficient training and inference pipelines
Optimize models for performance and scalability, including GPU/CUDA-level tuning and edge/embedded inference optimization (e.g., TensorRT, DLA)
Work with software engineers and Data Scientists to integrate ML models into production systems on the cloud and at the edge
Collaborate with Data Scientists to identify and analyze data requirements
Develop and implement data preprocessing and feature engineering pipelines
Build and maintain infrastructure-as-code for ML platforms and deployments
Stay up to date with the latest developments in machine learning, computer vision, and MLOps
Required Skillsets:
Previous experience in machine learning as evidenced by delivering solutions into production
Excellent software engineering skills including a test-driven mindset
Strong programming skills in Python and Spark
Experience with distributed computing frameworks such as Ray, and ML frameworks such as PyTorch and modern foundation/vision models
Experience with ML tech stacks, including Databricks (including Databricks Asset Bundles), MLflow, Amazon AWS (EC2, S3, Lambda), containerization technologies such as Docker, and infrastructure-as-code tools including Terraform and CloudFormation
Experience optimizing and deploying models for GPU or edge inference (CUDA, TensorRT); familiarity with NVIDIA edge platforms (Jetson Orin/Thor) and tooling (Nsight, DeepStream SDK) a plus
Familiarity with computer vision and/or microscopy/scientific imaging data a plus
Experience creating and deploying applications to AWS Lambda
High level of comfort with Linux
Experience with SQL
Strong problem-solving and analytical skills
Excellent communication and collaboration skills.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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