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Machine Learning Engineer Jobs in Maryland (NOW HIRING)

Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from ...

Machine Learning Engineer

Jessup, MD · On-site

$100K - $137K/yr

Worker Type Regular AV is seeking a Software Engineer 3 with Machine Learning (ML) & Artificial Intelligence (AI) experience, for our PRIME contract. The ideal candidate will be responsible for ...

Worker Type Regular AV is seeking aSoftware Engineer 3with Machine Learning (ML) & Artificial Intelligence (AI) experience,for our PRIMEcontract.The ideal candidate willbe responsible fordesigning ...

Senior Machine Learning Engineer

Silver Spring, MD · Hybrid

$108K - $148K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You'll be working in an ...

Senior Machine Learning Engineer

North Bethesda, MD · On-site

$104K - $143K/yr

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You'll be working in an ...

... Engineer 3with Machine Learning (ML) & Artificial Intelligence (AI) experience,for our PRIMEcontract.The ideal candidate willbe responsible fordesigning and developing robust software ...

We are looking for a Staff Machine Learning Engineer to join our growing AI/ML team. This is a senior individual contributor role with broad technical scope and meaningful organizational impact. You ...

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Showing results 1-20

Machine Learning Engineer information

See Maryland salary details

$30.6K

$125K

$187.8K

How much do machine learning engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for machine learning engineer in Maryland is $124,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $150,400.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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 Maryland? The most popular types of Machine Learning Engineer jobs in Maryland are:
What cities in Maryland are hiring for Machine Learning Engineer jobs? Cities in Maryland with the most Machine Learning Engineer job openings:
What are popular job titles related to Machine Learning Engineer jobs in MD? For Machine Learning Engineer jobs in MD, the most frequently searched job titles are:
Infographic showing various Machine Learning Engineer job openings in Maryland as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $124,976 per year, or $60.1 per hour.
Machine Learning Engineer II

Machine Learning Engineer II

Geico

Bethesda, MD • Hybrid

$105K - $215K/yr

Full-time

Retirement

Posted 18 days ago


GEICO rating

8.1

Company rating: 8.1 out of 10

Based on 351 frontline employees who took The Breakroom Quiz

134th of 261 rated insurance


Job description

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose.

When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.

DUTIES: Design, implement, and deploy end-to-end machine learning solutions. Leverage expertise in machine learning, software engineering, and system architecture to independently drive the development of production-ready models. Work closely with cross-functional teams, from product and business units to data scientists, ensuring seamless integration of ML models into business-critical applications. Independently design, implement, deploy, and maintain machine learning models and components that solve real-world business problems in close collaboration with the Product, Business units, and Data Science teams. Write production-grade code for ML models as services and APIs. Collaborate with cross-functional teams including data engineering and software development, to integrate machine learning models into production systems. Build and maintain scalable data processing workflows and model deployment infrastructure. Debug and resolve model performance issues, track relevant metrics, and implement continuous improvements to ensure model accuracy and reliability. Collaborate with PM, Design, Product Engineering, and Data Science teams to ensure end-to-end business impact. May require pre-hire technical screen. Hybrid Work Policy - 3 days in office, 2 days work from home - Must be able to report to local office. Multiple positions open. Salary $105,000 to $215,000 per year.

REQUIREMENTS: Bachelor's degree in Machine Learning, Computer Science, Statistics, Mathematics, or a related quantitative field. Two (2) years of experience as a Software Engineer, or related occupation. Two (2) years of experience with: Developing and deploying machine learning models in production environments, with expertise in a variety of ML techniques; Writing production-grade code and creating APIs using frameworks such as TensorFlow, PyTorch, or Scikit-learn; Cloud-based environments and familiarity with containerization and orchestration tools; Building data processing and ML workflow pipelines using SQL, Spark, and Python scripting; Utilizing distributed computing frameworks and large-scale data processing tools; ML algorithm foundations; Engineering skills to develop production ML/AI systems; Transforming business problems into ML/AI problems; Advanced machine learning algorithms and techniques, including supervised, unsupervised, and generative models; Python; ML frameworks, such as TensorFlow, Keras, and PyTorch; Software development best practices, such as CI/CD, containerization, and version control; Cloud platforms (AWS, Azure, GCP) and ability to leverage them for scalable and efficient ML solutions; and Data engineering concepts, including building scalable ETL pipelines, working with big data tools (Spark, Kafka), and ensuring smooth data flow for ML workflows.

TO APPLY: Visit, https://careers.geico.com/



The GEICO Pledge:

Great Company:At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs.

We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives.

Great Careers:We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.

Great Culture:We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.

As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.

Great Rewards:We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.

  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being.
  • Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.


What GEICO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


GEICO logo

About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936