Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Machine Learning Engineer
Manchester, NH
Live, first seen by us 14 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
On-siteLocation limits apply — work setting source
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
Read the full posting- Employment
- Not stated
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 21, 202614 days ago
- Recorded sightings
- 16
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Aug 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 14
Similar jobs usually come down between day 6 and day 68.
From 4,292 similar postings that came down. Coming down is not always a hire.
DEKA Research & Development is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 50% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- AWS
- Kafka
- MongoDB
- NoSQL
- Oracle
- Spark
- PyTorch
Where the posting names them
- 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 relational and NoSQL databases (Oracle, IBM Db2, MSSQL, MongoDB) - Familiarity with AWS or equivalent cloud platforms - Strong problem-solving skills
- 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
- 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
- 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 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
Your next step
Complete your application on deka.applytojob.com. The employer’s form will show what is required.
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- No account needed: one application form on the employer’s applytojob.com page.
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Has DEKA Research & Development posted this job before?
Yes. We’ve followed one other Machine Learning Engineer job there since August 2026. It came down after 52 days.
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:
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
- 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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
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 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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.