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Mlops Data Engineer Jobs in Manchester, NH (NOW HIRING)

Senior Machine Learning Engineer (3968)

Manchester, NH · On-site

$104K - $142K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual ... Production Deployment & MLOps * Support endtoend ML workflows, including data preparation, training ...

Senior Machine Learning Engineer (3968)

Manchester, NH · On-site

$104K - $142K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual ... Production Deployment & MLOps * Support end‑to‑end ML workflows, including data preparation ...

Senior Machine Learning Engineer (3968)

Manchester, NH · On-site

$104K - $142K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual ... Production Deployment & MLOps * Support end-to-end ML workflows, including data preparation ...

Mlops Data Engineer information

See Manchester, NH salary details

$44.3K

$129.2K

$176.7K

How much do mlops data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for mlops data engineer in Manchester, NH is $129,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $136,900.00 per year, depending on experience, location, and employer.

What is an MLOps data engineer?

MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.

What are the key skills and qualifications needed to thrive as an MLOps data engineer?

To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.

What are some common challenges MLOps data engineers face when deploying machine learning models into production?

MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.

What is the difference between Mlops Data Engineer vs Data Scientist?

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch institutions, analytics firms, tech companies

The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.

Are MLOps Data Engineers in demand?

MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining ML models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

Is MLOps required for data engineers?

MLOps is increasingly important for data engineers involved in deploying and maintaining machine learning models, as it encompasses practices like automation, monitoring, and version control. While not always mandatory, knowledge of MLOps tools such as Docker, Kubernetes, and CI/CD pipelines enhances a data engineer's ability to support scalable and reliable ML systems.

What are popular job titles related to Mlops Data Engineer jobs in Manchester, NH?

For Mlops Data Engineer jobs in Manchester, NH, the most frequently searched job titles are:

What job categories do people searching Mlops Data Engineer jobs in Manchester, NH look for?

The top searched job categories for Mlops Data Engineer jobs in Manchester, NH are:

Infographic showing various Mlops Data Engineer job openings in Manchester, NH as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,155 per year, or $62.1 per hour.

Data Scientist Senior

Lockheed Martin Corporation

Chelmsford, MA • On-site

$98K - $182K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Key responsibilities

  • Turn stakeholder AI and data needs into actionable models.

  • Develop prototypes and advance them to production-ready products.

  • Maintain and enhance the legacy FORCE product suite.


Lockheed Martin rating

8.2

Company rating: 8.2 out of 10

Based on 398 frontline employees who took The Breakroom Quiz

38th of 72 rated aerospace companies


Job description

Standard Job Description You will be the Data Scientist Sr for the FORCE Operations Data/AI team. Our team is responsible for providing MFC-wide support. What You Will Be Doing As the Data Scientist Sr you will be responsible for turning stakeholder AI and data needs into actionable models, guiding projects from prototype through production, and maintaining existing data products.

Your responsibilities will include, but are not limited to: Apply AI and datascience techniques to support manufacturingoperations programs. Identify and execute opportunities to integrate AI capabilities into existing FORCE products. Develop and lead the team's AI strategy and partner with stakeholders to define business problems.

Develop prototypes and advance them to productionready products. Maintain and enhance the legacy FORCE product suite. Why Join Us We seek a collaborative, forwardthinking professional who thrives on turning complex data challenges into impactful solutions.

This role offers the chance to shape AI capabilities across Lockheed Martin, work with cuttingedge technologies, and make a tangible impact on missioncritical operations. We are committed to supporting your worklife balance and overall wellbeing, offering flexible scheduling options. Learn more about Lockheed Martin's comprehensive benefits package here Further Information About This Opportunity This position is located in multiple locations.

[Discover more about Lockheed Martin Missiles and Fire Control.](a href= https://www.lockheedmartin.com/en-us/who-we-are/business-areas/missiles-and-fire-control.html?utm_campaign=mfc&utm_term=rm&utm_source=MFC-JobDescriptions-MFC-Business-page-2025&utm_medium=website) MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. Basic Qualifications Completed Bachelors degree from an accredited college in Engineering, Computer Science, AI/Data Science/Analytics, or other Engineering discipline

Experience with structured and unstructured data for descriptive/diagnostic, predictive, and prescriptive analytical needs Working level experience in SQL Proficiency in Python and related libraries (e.g. NumPy, Pandas) Desired Skills Knowledge of MLOps pipeline and modern machine learning techniques Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD] Familiarity interfacing with databases (SQL, MongoDB, etc.) Experience with Computer Vision and other Deep Learning techniques Experience with C++, Java, GO, and other compiled languages Experience with TensorFlow, PyTorch, Keras, or Scikit-learn Experience with AWS or another cloud computing platform Expertise navigating, developing, and working with EDW SAP HANA database Extensive working knowledge developing in Tableau - data models, visualizations, maintenance Experience with/in one or more of the Operations related business functions such as Prod Ops, Quality, PP&C, GSC, Engineering Strong experience in MFC ERP systems (SAP, Apriso, etc) Experience with or knowledge of data engineering and associated best practices, and software/data security considerations Pay Information Full-Time Salary Range: $98100.00 - $182100.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally

The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.

Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics

For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.


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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912