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Machine Learning Engineer Jobs in Manchester, NH

DEKA

Machine Learning Engineer

Manchester, NH · On-site

We're looking for a Machine Learning Engineer who can operate at the intersection of backend engineering and applied machine learning. If you want to design distributed systems, deploy production ML ...

GBG

Senior Machine Learning Engineer (3968)

Manchester, NH

$104K - $142.90K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning ...

GBG

Senior Machine Learning Engineer (3968)

Manchester, NH · On-site

$104K - $142.90K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning ...

GBG

Senior Machine Learning Engineer (3968)

Manchester, NH · On-site

$104K - $142.90K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning ...

Varsity Tutors

Machine Learning Tutor

Lawrence, MA · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Analogic Corporation

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 ...

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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
Machine Learning Engineer

Machine Learning Engineer

DEKA Research & Development

Manchester, NH • On-site

Full-time

Posted 14 days ago

Job description

We're looking for a Machine Learning Engineer who can operate at the intersection of backend engineering and applied machine learning. If you want to design distributed systems, deploy production ML models, and architect scalable data pipelines that make a measurable difference — this is your opportunity, and it starts with the software you design and deliver at DEKA.
This role is on-site at DEKA in Manchester, NH. Relocation is not available, local candidates only.
How You Will Make an Impact:
  • Design and implement scalable backend services and microservices powering data-intensive, real-world applications
  • Build and deploy production ML models across the full lifecycle from feature engineering and training through evaluation, deployment, and monitoring
  • Develop and maintain event-driven distributed pipelines using Apache Kafka, Apache Spark, and related technologies
  • Architect systems that integrate ML models with rule-based decision engines for automated, real-time decisioning
  • Collaborate across disciplines to translate complex requirements into reliable, elegant engineering solutions
  • Contribute to AI/LLM-driven workflows and orchestration systems that push the boundaries of what software can do
Required Experience/Knowledge:
  • M.S. in Computer Science, AI, or a related field
  • 6+ years in backend software engineering and distributed systems
  • Strong proficiency in Java (Spring Boot, Spring MVC, Hibernate) and Python
  • Hands-on experience building and deploying production ML models (PyTorch or equivalent)
  • Experience with distributed systems and streaming technologies: Apache Kafka, Apache Spark, ZooKeeper
  • Solid understanding of microservices architecture, REST/SOAP APIs, and object-oriented design
  • Experience with relational and NoSQL databases (Oracle, IBM Db2, MSSQL, MongoDB)
  • Familiarity with AWS or equivalent cloud platforms
  • Strong problem-solving skills
  • Intrinsic drive to understand how things work and make them better
  • Excellent communicating and collaboration across engineering, data, and product teams
  • Strong attention to detail

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