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Director Google Machine Learning Engineer Jobs in Manchester, NH

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 ...

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

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 ...

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 ...

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

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Director Google Machine Learning Engineer information

See Manchester, NH salary details

$35.8K

$91.5K

$140.4K

How much do director google machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for director google machine learning engineer in Manchester, NH is $91,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,200.00 and $105,500.00 per year, depending on experience, location, and employer.
What are popular job titles related to Director Google Machine Learning Engineer jobs in Manchester, NH? For Director Google Machine Learning Engineer jobs in Manchester, NH, the most frequently searched job titles are:
What job categories do people searching Director Google Machine Learning Engineer jobs in Manchester, NH look for? The top searched job categories for Director Google Machine Learning Engineer jobs in Manchester, NH are:
Infographic showing various Director Google Machine Learning Engineer job openings in Manchester, NH as of May 2026, with employment types broken down into 88% Full Time, 5% Part Time, and 7% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $91,535 per year, or $44 per hour.
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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