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Machine Learning Engineer Jobs in Dover, DE (NOW HIRING)

DijavAI

AI Risk Analyst

Dover, DE · On-site

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

Moderna

Co-Op, Applied Technologies (Spring 2027)

Dover, DE · On-site

$20 - $60/hr

As an Applied Technologies Co-Op, you will work alongside engineers and scientists to support the ... Interest in emerging technologies such as machine learning, computer vision, autonomous systems, or ...

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 JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Dover, DE

Machine Learning Engineer information

See Dover, DE salary details

$31.5K

$128.7K

$193.4K

How much do machine learning engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for 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 is a machine learning engineer?

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 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 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.

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

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

What cities near Dover, DE are hiring for Machine Learning Engineer jobs?

Cities near Dover, DE with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Dover, DE as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $128,588 per year, or $61.8 per hour.

AI Risk Analyst

Dover, DE • On-site

DijavAI
See more jobs at DijavAIexternal

Other

Posted 12 days ago

Job description

We are seeking a detail-oriented AI Risk Analyst to join our governance team. You will be responsible for evaluating AI models against global compliance frameworks, identifying potential biases, and recommending mitigation strategies.

What You'll Do
  • Conduct comprehensive risk assessments of client AI models.
  • Analyze datasets for bias, fairness, and representativeness.
  • Evaluate model performance and stability under stress conditions.
  • Collaborate with engineering teams to implement risk mitigation controls.
  • Prepare detailed audit reports for regulatory compliance.
What We're Looking For
  • Bachelor's or Master's degree in Data Science, Statistics, or related field.
  • 3+ years of experience in data analysis or risk management.
  • Familiarity with NIST AI RMF and EU AI Act.
  • Strong understanding of machine learning model lifecycles.
  • Excellent technical writing and communication skills.
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