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Mlops Machine Learning Engineer Jobs in Dover, DE

DijavAI

Machine Learning Auditor

Dover, DE · On-site

$120 - $180/hr

We are looking for a specialized Machine Learning Auditor to perform deep-dive technical audits of ... Experience with PyTorch, TensorFlow, and MLops tools. * Background in cybersecurity or algorithmic ...

Pearson

Specialist, Data Scientist

Dover, DE · On-site

$125 - $140/hr

Experience working within Agile product or engineering teams. Knowledge, skills, and abilities * Data analysis, statistical modeling, and machine learning * Python-based analytics and solution ...

New

DijavAI

AI Risk Analyst

Dover, DE · On-site

$90 - $130/hr

Collaborate with engineering teams to implement risk mitigation controls. * Prepare detailed audit ... Strong understanding of machine learning model lifecycles. * Excellent technical writing and ...

New

Cytel

Principal Biostatistician FSP

Dover, DE · On-site

... machine learning & deep learning algorithms to discover actionable insights and automate process ... Oversight of internal programming activities and/or CRO contributions on assigned clinical trials ...

Cytel

Principal Biostatistician FSP

Dover, DE · On-site

... machine learning & deep learning algorithms to discover actionable insights and automate process ... Oversight of internal programming activities and/or CRO contributions on assigned clinical trials ...

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All JobsMlops Machine Learning Engineer JobsMlops Machine Learning Engineer Jobs in Dover, DE

Mlops Machine Learning Engineer information

See Dover, DE salary details

$31.5K

$128.7K

$193.4K

How much do mlops machine learning engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for mlops machine learning engineer in Dover, DE is $128,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $154,900.00 per year, depending on experience, location, and employer.

What does an MLOps machine learning engineer do?

An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.

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

To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.

How does an MLOps machine learning engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?

An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.

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

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch institutions, analytics firms, tech companies for data insights

While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

Are MLOps machine learning engineers in demand?

MLOps machine learning engineers are in high demand due to the increasing adoption of AI and machine learning across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

Do MLOps Machine Learning Engineers need a degree?

MLOps Machine Learning Engineers typically do not require a formal degree but often have a background in computer science, data science, or related fields. Practical skills in machine learning, cloud platforms, and tools like Docker, Kubernetes, and CI/CD pipelines are highly valued. Certifications and hands-on experience can also enhance job prospects.

What job categories do people searching Mlops Machine Learning Engineer jobs in Dover, DE look for?

The top searched job categories for Mlops Machine Learning Engineer jobs in Dover, DE are:

Mlops Machine Learning Engineer jobs near you
Infographic showing various Mlops Machine Learning Engineer job openings in Dover, DE as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,697 per year, or $61.9 per hour.

Machine Learning Auditor

DijavAI

Dover, DE • On-site

$120 - $180/hr

Other

Posted 16 days ago

Job description

We are looking for a specialized Machine Learning Auditor to perform deep-dive technical audits of complex neural networks. You will focus on explainability, robustness, and security vulnerabilities.

What You'll Do
  • Perform code reviews and architecture analysis of ML pipelines.
  • Test models for adversarial attacks and security vulnerabilities.
  • Validate model explainability methods (SHAP, LIME, etc.).
  • Verify data lineage and provenance tracking mechanisms.
  • Automate parts of the technical audit process using Python scripts.
What We're Looking For
  • PhD or strong Master's in Computer Science or AI/ML.
  • Experience with PyTorch, TensorFlow, and MLops tools.
  • Background in cybersecurity or algorithmic auditing.
  • Ability to explain complex technical concepts to non-technical stakeholders.
  • Published research in AI safety or fairness is highly desirable.
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