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Senior Machine Learning Engineer Jobs in Dover, NH

Algorithm Engineer

Salem, NH ยท On-site

$125 - $150/hr

Research and apply emerging technologies in AI, machine learning, and deep learning. * Collaborate with multidisciplinary engineering teams to move concepts from research to production. * Document ...

New

Research Engineer III - Warfighter Lab Galvion is seeking a Research Engineer III to join our ... Develop and implement machine-learning algorithms for simulation and research applications.

Research Engineer III - Warfighter Lab Galvion is seeking aResearch Engineer IIIto join our ... Strong proficiency with scientific and machine-learning frameworks such asSciPy, scikit-learn ...

Research Engineer III

Portsmouth, NH ยท On-site

$100 - $125/hr

Research Engineer III -- Warfighter Lab Galvion is seeking a Research Engineer III to join our ... Strong proficiency with scientific and machine-learning frameworks such asSciPy, scikit-learn ...

New

Act as a senior technical escalation point during system disruptions or downtime events. * Partner ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Act as a senior technical escalation point during system disruptions or downtime events. * Partner ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Showing results 21-40

Senior Machine Learning Engineer information

See Dover, NH salary details

$60.8K

$129.2K

$187.4K

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

As of Sep 7, 2026, the average yearly pay for senior machine learning engineer in Dover, NH is $129,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $146,500.00 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.

Infographic showing various Senior Machine Learning Engineer job openings in Dover, NH as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,230 per year, or $62.1 per hour.

Algorithm Engineer

Analogic Jobs US

Salem, NH โ€ข On-site

$125 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

At Analogic, we're developing advanced security screening solutions powered by Artificial Intelligence, Machine Learning, 3D imaging, and computer vision. We're seeking an Algorithm Engineer to help solve complex detection and classification challenges that support global aviation and homeland security initiatives.

Whether you're launching your career or bringing several years of experience, this is an opportunity to work on innovative technology with real-world impact.

What You'll Do
  • Develop algorithms for detection, classification, image analysis, and AI/ML applications.
  • Design tools and methods for data analysis, testing, validation, and model improvement.
  • Research and apply emerging technologies in AI, machine learning, and deep learning.
  • Collaborate with multidisciplinary engineering teams to move concepts from research to production.
  • Document technical work and communicate results to a variety of stakeholders.
  • Contribute to innovative solutions that enhance security screening capabilities.
What We're Looking For Education
  • Bachelor's, Master's, or PhD in Engineering, Physics, Computer Science, Data Science, or a related technical field.
Experience
  • Academic, internship, research, or project experience in AI, machine learning, computer vision, image processing, or software development.
  • Familiarity with algorithm development and data analysis.
  • Hands-on experience applying algorithms, machine learning models, or data analysis techniques.
  • Experience developing technical solutions in academic or professional environments.
Experienced Engineer (5-8+ Years)
  • Proven experience designing, implementing, and optimizing algorithms or AI/ML solutions.
  • Strong technical expertise in machine learning, computer vision, image processing, or related disciplines.
  • Experience mentoring and providing technical leadership is a plus.
Preferred Technical Skills

Experience with one or more of the following:

  • Artificial Intelligence & Machine Learning
  • Computer Vision & Image Processing
  • Python, MATLAB, C++
  • TensorFlow, PyTorch, or Keras
  • Windows and Linux development environments
  • Explainable AI

Experience in aviation security, cargo screening, military systems, or threat detection applications is highly desirable.

Additional Requirements
  • Strong communication and collaboration skills.
  • Ability to work effectively in a multidisciplinary engineering environment.
  • Must be eligible to obtain applicable U.S. Government security vetting.
Why Analogic?

Join a team where advanced technology meets real-world impact. You'll work alongside talented engineers and researchers solving challenging problems while helping create safer transportation and security systems worldwide.

What We Offer:

We appreciate that our employees work diligently to contribute to our success as an organization. We also recognize the importance of work-life balance and therefore developed a competitive total rewards package including programs that offer employees flexibility to balance their work and life including:

  • 9/80 work schedule โ€“ enjoy every other Friday off!
  • Flexible Vacation โ€“ employees can take time off as is reasonably needed
  • Comprehensive benefits including medical, dental, vision, life insurance and disability plans.
  • HRA (for PPO plan participants) /HSA (Health Savings Account for high deductible plan participants) contribution
  • 401K with company match and immediate vesting
  • Supportive culture that values innovation, collaboration, and excellence

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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