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

Lead Data Privacy Engineer

Dover, DE · On-site

$107 - $284/hr

The Lead Data Privacy Engineer will play a critical role in advancing enterprise privacy engineering and data protection capabilities that safeguard sensitive information while enabling secure ...

New

Lead AI Platform Engineer

Fairfield, NJ · On-site

$104K - $137K/yr

Both need a senior engineering owner, and both need to grow into the foundation of how OUTFRONT works in an AI-native era. This is a hands-on technical leadership role. You'll own the architecture ...

4th Shift Maintenance Technician

Middletown, DE · On-site

$23.50 - $30/hr

... learning. This is a weekend shift, Friday, Sarurday, Sunday, 11:00 a.m. to 11:30 p.m. Essential ... Works with area engineers to identify and maintain the subsystems that enable production to keep ...

... learning. This is a weekend shift, Friday, Sarurday, Sunday, 11:00 a.m. to 11:30 p.m. Essential ... Works with area engineers to identify and maintain the subsystems that enable production to keep ...

Growth and Learning: We provide an environment that encourages personal and professional growth ... Working knowledge of large machine operation, construction of infrastructure and shipping and ...

Showing results 41-50

Machine Learning Engineer information

See Dover, DE salary details

$31.5K

$128.6K

$193.2K

How much do machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning engineer in Dover, DE is $128,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $154,800.00 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.

What are the most commonly searched types of Machine Learning Engineer jobs in Dover, DE?

The most popular types of Machine Learning Engineer jobs in Dover, DE are:

What are popular job titles related to Machine Learning Engineer jobs in Dover, DE?

For Machine Learning Engineer jobs in Dover, DE, the most frequently searched job titles are:

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:

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.

Lead Data Privacy Engineer

Koitecc Solutions

Dover, DE • On-site

$107 - $284/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

POSITION SUMMARY

At CVS Health, protecting customer, patient, member, and colleague data is fundamental to our mission. The Lead Data Privacy Engineer will play a critical role in advancing enterprise privacy engineering and data protection capabilities that safeguard sensitive information while enabling secure, compliant, and responsible use of data across one of the nation's largest healthcare organizations. The Lead Data Privacy Engineer will drive the strategy, design, and implementation of scalable privacy-enhancing technologies and enterprise data protection solutions across structured and unstructured data environments. This role will lead initiatives spanning data discovery, inventory, classification, encryption, tokenization, anonymization, Data Loss Prevention (DLP), and privacy-by-design practices that strengthen the protection of regulated and sensitive data throughout its lifecycle.

KEY RESPONSIBILITIES
  • Lead the strategy, prioritization, implementation, and continuous improvement of enterprise data protection and privacy engineering capabilities across structured and unstructured data environments, including enterprise data discovery, inventory, and data mapping initiatives to improve visibility, governance, and protection of regulated and sensitive data assets.
  • Design, deploy, and optimize Privacy Enhancing Technologies (PETs), including encryption, tokenization, anonymization, pseudonymization, data classification, Data Loss Prevention (DLP), and other privacy-preserving solutions that protect sensitive information while enabling business innovation.
  • Partner with engineering, product, legal, compliance, and cybersecurity teams to embed privacy-by-design principles and translate regulatory requirements into scalable architectures, technical standards, governance controls, and enterprise data protection solutions.
  • Conduct privacy risk assessments, privacy impact assessments, threat modeling, and control evaluations to identify, mitigate, and monitor privacy and security risks while supporting audit, compliance, investigation, and regulatory obligations.
  • Drive enterprise data governance, privacy metrics, automation, advanced analytics, emerging privacy technologies, and continuous improvement initiatives by monitoring industry trends and regulatory developments and leading cross-functional teams to strengthen the organization's privacy posture, data protection effectiveness, and operational efficiency.
REQUIRED QUALIFICATIONS
  • 7+ years advancing Privacy Engineering, Security Engineering, Data Protection, Cybersecurity, or related technical disciplines, including architecting and implementing privacy and data protection controls aligned to GDPR, CCPA/CPRA, HIPAA, and similar regulatory frameworks.
  • 5+ years designing and deploying enterprise-scale data protection capabilities, including encryption, tokenization, key management, data classification, Data Loss Prevention (DLP), privacy-enhancing technologies (PETs), and insider risk controls.
  • Strong software engineering foundation with 5+ years developing, integrating, and automating solutions using Python, Java, Go, or similar programming and scripting languages.
  • 5+ years operating within cloud-native and DevSecOps environments, leveraging CI/CD pipelines, Infrastructure as Code (IaC), security automation, privacy threat modeling, and privacy impact assessments to deliver secure, scalable solutions.
  • 3+ years leading complex, cross-functional privacy, data protection, cybersecurity, or compliance initiatives, influencing stakeholders across Engineering, Product, Data, Security, Legal, and Compliance organizations to drive business and regulatory outcomes.
PREFERRED QUALIFICATIONS
  • Professional certifications such as CDPSE, CIPP, CIPT, CIPM, CISSP, or equivalent privacy and security credentials.
  • Knowledge of leading security, privacy, and compliance frameworks, including NIST, ISO 27001, HITRUST, FIPS, PCI DSS, and HIPAA, with exposure to regulatory audits, assessments, and remediation activities.
  • Expertise designing and securing cloud-native and data-driven environments, including AWS, Azure, GCP, SQL/NoSQL databases, data lakes, and enterprise-scale data platforms.
  • Demonstrated application of AI, automation, and advanced analytics to improve privacy, data protection, governance, and operational effectiveness.
  • Healthcare or other highly regulated industry background, with responsibility for protecting PHI, PII, and other sensitive or regulated data assets.
EDUCATION

Bachelor's degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).

BUSINESS OVERVIEW

Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human‑centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician‑owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.

Pay Range

The typical pay range for this role is:

$106,605.00 - $284,280.00

This pay range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above.

This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 09/30/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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