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Machine Learning Engineer Jobs in Manchester, NH

RPS Recruitment

Machine Operator

Peterborough, NH · On-site

$20 - $23/hr

Learning to safely operate precision manufacturing equipment through comprehensive paid training ... Mechanical aptitude or an interest in manufacturing, engineering, automotive, construction, or ...

RPS Recruitment

Machine Operator

Peterborough, NH

$20 - $23/hr

Learning to safely operate precision manufacturing equipment through comprehensive paid training ... Mechanical aptitude or an interest in manufacturing, engineering, automotive, construction, or ...

Amphenol TCS

Signal Integrity Engineer

Nashua, NH · On-site

$168K/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

$168K/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

$168K/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 ...

BAE Systems

Eng Prin - SW

Merrimack, NH · On-site

$118K - $200K/yr

Our team uses advanced machine learning-based algorithms to enable fast adaption for new and emerging threats for airborne, land, and maritime products. Our engineers are the lifeblood of our company ...

Symbotic

System Engineer

Raymond, NH · On-site

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Symbotic

System Engineer

Raymond, NH

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Marmon

3rd Shift Machine Operator

Manchester, NH · On-site

$17 - $20.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... As an experienced manufacturer we assure that all of our products are engineered and manufactured ...

Marmon

3rd Shift Machine Operator

Manchester, NH

$17 - $20.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... As an experienced manufacturer we assure that all of our products are engineered and manufactured ...

Marmon

3rd Shift Machine Operator

Manchester, NH

$17 - $20.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... As an experienced manufacturer we assure that all of our products are engineered and manufactured ...

Marmon

1st Shift Machine Operator

Manchester, NH · On-site

$17 - $20.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... As an experienced manufacturer we assure that all of our products are engineered and manufactured ...

Marmon

1st Shift Machine Operator

Manchester, NH · On-site

$17 - $20.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... As an experienced manufacturer we assure that all of our products are engineered and manufactured ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Manchester, NH

Machine Learning Engineer information

See Manchester, NH salary details

$31.4K

$128.2K

$192.7K

How much do machine learning engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for machine learning engineer in Manchester, NH is $128,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $154,300.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 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 popular job titles related to Machine Learning Engineer jobs in Manchester, NH? For Machine Learning Engineer jobs in Manchester, NH, the most frequently searched job titles 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
Infographic showing various Machine Learning Engineer job openings in Manchester, NH as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,220 per year, or $61.6 per hour.
Senior Software Engineer, Data Engineering

Senior Software Engineer, Data Engineering

Rockstar Games

Andover, MA • On-site

$124K - $163K/yr

Full-time

Re-posted 6 days ago

Job description

At Rockstar Games, we create world-class entertainment experiences.
Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.
Rockstar Games is seeking a Senior Software Engineer in Data Engineering to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games.
The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance. In collaboration with Data Engineers, Machine Learning Engineers, and other Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications to company stakeholders.
This is a full-time, in-office position based out of Rockstar's newly renovated game development studio in Andover, MA.
WHAT WE DO
  • The Rockstar Games Online Services team builds the technology foundation that powers our games and delivers world-class player experiences.
  • Our Data Engineering group manages petabyte-scale data, integrating dozens of streaming and batch sources with strict requirements for reliability, compliance, and low-latency processing.
  • We approach data engineering with the rigor of software engineering by applying modern practices such as clean architecture, modular design, and automated testing. Our focus is on building scalable, reusable platforms and frameworks that enable our partners in Data Science and Game Development to deliver insights and unlock new possibilities for players.
RESPONSIBILITIES
  • Design, build, and maintain high-throughput streaming and batch data processing services, with a primary focus on raw and bronze-level ingestion.
  • Develop and operate stream-based applications responsible for real-time data transformation, enrichment, validation, and routing.
  • Own and evolve event schemas and data contracts, including Avro schemas and Schema Registry governance.
  • Ensure scalability, fault tolerance, and performance of streaming and ingestion pipelines under heavy load.
  • Contribute to platform-level concerns such as deployment automation, observability, operational tooling, and CI/CD.
  • Participate in the design and implementation of cloud-native data infrastructure supporting real-time and batch workloads.
REQUIREMENTS
  • 5+ years of professional experience building production software systems, preferably in a distributed or data-intensive environment.
  • Strong experience with Java (and/or Scala) as well as Python, in backend or data processing applications.
  • Experience designing and operating streaming systems using Kafka or Kafka Streams (or similar).
  • Experience working with event-driven architectures, including schema evolution and compatibility.
  • Experience building real-time and/or near-real-time data pipelines at scale.
  • Solid understanding of distributed systems concepts (partitioning, fault tolerance, backpressure, exactly-once/at-least-once semantics).
  • Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices.
PLUSES
Please note that these are desirable skills and are not required to apply for the position.
  • Experience with Databricks, particularly for ingestion, bronze-layer processing, or structured streaming.
  • Experience deploying and scaling applications in containerized environments (e.g., Kubernetes, AKS).
  • Experience working with artifact repositories (e.g., Artifactory, ProGet, Maven repositories).
  • Experience with Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles).
  • Familiarity with the Microsoft Azure cloud ecosystem.
  • Familiarity with Apache Spark.
  • Familiarity with CI/CD pipelines, automated testing, and deployment workflows.
HOW TO APPLY
Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.
Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar's reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.
If you've got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.
#LI-BB1
The pay range for this position in Andover, Massachusetts at the start of employment is expected to be between the range below* per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.
Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an "at-will position" and the company reserves the right to modify base salary (as well as any other discretionary payment or compensation or benefit program) at any time, including for reasons related to individual performance, company or individual department/team performance, and market factors.
NE Base Pay Range
$130,000-$150,000 USD

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