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Machine Learning Engineer Jobs in Manchester, NH

Analogic

Algorithm Engineer

Salem, NH

... leveraging breakthroughs in machine learning, deep learning, 3D imaging, and open network ... We're looking for an Algorithm Engineer to join and contribute to a high-impact engineering team ...

Analogic

Algorithm Engineer

Salem, NH · On-site

... leveraging breakthroughs in machine learning, deep learning, 3D imaging, and open network ... We're looking for an Algorithm Engineer to join and contribute to a high-impact engineering team ...

Geophysical Survey Systems Inc.

Algorithm Engineer

Nashua, NH · On-site

$80.80K - $109.10K/yr

Drive the development of machine learning models for target detection, material classification ... Broader Software Engineering Contributions When not focused on algorithm-specific tasks, you will:

Epic

Software Engineer

Derry, NH · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Maximus

AI/ML Software Developer

Derry, NH · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

Maximus

AI/ML Software Developer

Nashua, NH · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

Maximus

AI/ML Software Developer

Concord, NH · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

Maximus

AI/ML Software Developer

Manchester, NH · Remote

... for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

Amphenol TCS

Signal Integrity Engineer

Nashua, NH · On-site

$168.70K/yr

Signal Integrity Engineer Location: Nashua, NH Amphenol Cable Backplane System group is the market ... for the AI/Machine Learning market not excluding (Mobile Networks, Storage, Servers, Routers ...

Amphenol TCS

Signal Integrity Engineer

Nashua, NH · On-site

$168.70K/yr

Signal Integrity Engineer Location: Nashua, NH Amphenol Cable Backplane System group is the market ... for the AI/Machine Learning market not excluding (Mobile Networks, Storage, Servers, Routers ...

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Machine Learning Engineer information

See Manchester, NH salary details

$30.7K

$125.6K

$188.7K

How much do machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for machine learning engineer in Manchester, NH is $125,593.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $151,200.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Manchester, NH? The most popular types of Machine Learning Engineer jobs in Manchester, NH are:
What job categories do people searching Machine Learning Engineer jobs in Manchester, NH look for? The top searched job categories for Machine Learning Engineer jobs in Manchester, NH are:
What cities near Manchester, NH are hiring for Machine Learning Engineer jobs? Cities near Manchester, NH with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Algorithm Engineer

Algorithm Engineer

Analogic

Salem, NH

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

About the Role

We’re building the next generation of airport security screening solutions—leveraging breakthroughs in machine learning, deep learning, 3D imaging, and open network architectures. We’re looking for an Algorithm Engineer to join and contribute to a high-impact engineering team from early concept through full product realization. This is a hands-on development role with technical challenges that support ur growing aviation security business. 

If you thrive at the intersection of science, software, and real-world application, and enjoy turning complex challenges into deployable solutions, this role is for you.

 What You’ll Do

  • Drive Innovation: Create novel, high-impact solutions for complex detection and classification challenges
  • Own the Vision: Research and document algorithm development and implementation processes, maintaining a knowledge of current state of the art in Artificial Intelligence / Machine Learning areas
  • Build the Future: Develop tools and methodologies for data analysis, testing, and AI/ML
  • Collaborate Cross-Functionally: Partner with a multi-disciplinary team and key stakeholders to align goals and deliverables
  • Communicate Clearly: Translate complex technical ideas into clear documentation, reports, and presentations

 What You Bring

  • Technical degree (Engineering, Physics, Computer Science) with 0-8 years combined academic and work experience in related technical field. 
  • Strong expertise in:
    • Machine vision, data science, and software engineering
    • Object detection and classification problems
    • Algorithm development (traditional + ML + deep learning)
  • Hands-on experience with tools like Python, MATLAB, C++, and Excel across Windows and Linux environments
  • Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras (CUDA experience is a plus)
  • Experience with explainable AI is a plus
  • Excellent communication skills and the ability to influence across teams

 Bonus: Experience with aviation or military threat detection

 Additional Requirements

  • U.S. Citizenship required
  • Domestic and international travel up to 10%
  • Ability to obtain a Secret security clearance

 What We Offer

We know great work happens when people feel supported—both professionally and personally. That’s why we offer a flexible and competitive total rewards package:

  • 9/80 Work Schedule – enjoy every other Friday off
  • Flexible Vacation – take time when you need it
  • Comprehensive medical, dental, vision, life, and disability coverage
  • HRA/HSA contributions
  • 401(k) with company match + immediate vesting
  • Continuous education and professional development support
  • A collaborative, innovation-driven culture

 Make an Impact

Join Analogic and help shape technologies that save lives, secure travel, and push the boundaries of what’s possible.

Apply