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Full Time Senior Machine Learning Engineer Jobs (NOW HIRING)

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing ...

Clearview AI

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115K - $158K/yr

Engineering Employment Type: Full Time Location: New York, NY Description Clearview AI is the ... Senior Machine Learning Engineer Position Summary: We are hiring a highly technical individual ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$112K - $154K/yr

The Marlin Alliance, Inc. is seekinga talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced ...

Clover Health

Senior Machine Learning Engineer

$125K - $165K/yr

We're looking for a Senior Machine Learning Engineer to help us build a revolutionary new health care business. Clover uses Machine Learning/Natural Language Processing to leverage our data to help ...

BE Group

Senior Machine Learning Engineer

Malvern, PA

$120K - $158K/yr

We are assisting our client in hiring for a Senior Machine Learning Engineer. Our client is an established SaaS company serving banks, credit unions, and fintechs. Their cloud-based platform helps ...

Chasm Select

Senior Machine Learning Engineer

Manhattan, NY · On-site +1

$150K - $180K/yr

ChasmTeam Senior Machine Learning Engineer at JudiHealth Location: Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into ...

Alpha Business Solutions

Senior Machine Learning Engineer

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to design and implement algorithmic product architectures that enhance guest experiences and drive operational efficiencies. Responsibilities : • ...

Corning

$95K - $130K/yr

As a Senior Machine Learning Engineer, you will design, deploy, maintain, and improve robust machine learning systems that support manufacturing and other business functions. You will help translate ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$131K - $173K/yr

The Marlin Alliance, Inc. is seeking a talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced ...

Attentive

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

Attentive

Senior Machine Learning Engineer

$107K - $146K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

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Full Time Senior Machine Learning Engineer information

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$59.5K

$126.6K

$183.5K

How much do full time senior machine learning engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for full time senior machine learning engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Senior Machine Learning Engineer vs Data Scientist?

AspectFull Time Senior Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, creates reports for business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, healthcare, research

Full Time Senior Machine Learning Engineers focus on designing, building, and deploying scalable ML models, often working closely with engineering teams. Data Scientists analyze data, develop models for insights, and support decision-making. While both roles require strong analytical skills and knowledge of ML, engineers emphasize deployment and system integration, whereas data scientists focus on data analysis and modeling for insights.

What is a full time senior machine learning engineer?

Full Time Senior Machine Learning Engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They often lead teams, set technical direction, and collaborate with data scientists, engineers, and stakeholders to solve complex problems using data-driven approaches. Their responsibilities include selecting appropriate algorithms, optimizing model performance, and ensuring that machine learning solutions are scalable and maintainable in production environments. Senior engineers typically have several years of experience and a strong background in programming, statistics, and machine learning theory.

What are the key skills and qualifications needed to thrive as a full time senior machine learning engineer, and why are they important?

To thrive as a Full Time Senior Machine Learning Engineer, you need expertise in machine learning algorithms, statistical analysis, programming (commonly Python or R), and a relevant degree such as computer science or engineering. Experience with tools like TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and often advanced certifications in ML or data science are highly valued. Strong problem-solving, leadership, and communication skills set top candidates apart by enabling them to lead projects and collaborate effectively across teams. These skills are crucial for designing scalable ML solutions, mentoring peers, and delivering impactful business outcomes.

What types of projects and cross-functional collaboration can a full time senior machine learning engineer expect in their role?

As a Full Time Senior Machine Learning Engineer, you’ll typically work on complex projects that involve designing, deploying, and optimizing machine learning models for real-world applications. You can expect to collaborate closely with data scientists, software engineers, product managers, and domain experts to define project requirements, integrate models into production systems, and iterate based on feedback. This collaborative environment not only fosters innovation but also provides opportunities to mentor junior engineers and contribute to strategic decisions, making the role both technically challenging and highly impactful within the organization.
More about Full Time Senior Machine Learning Engineer jobs
What cities are hiring for Full Time Senior Machine Learning Engineer jobs? Cities with the most Full Time Senior Machine Learning Engineer job openings:
What are the most commonly searched types of Senior Machine Learning Engineer jobs? The most popular types of Senior Machine Learning Engineer jobs are:
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Full Time Senior Machine Learning Engineer jobs near you
Infographic showing various Full Time Senior Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior Machine Learning Engineer

Leidos

Vista, CA • On-site

$107K - $195K/yr

Full-time

Re-posted 23 days ago

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 151 frontline employees who took The Breakroom Quiz

75th of 481 rated business services

Job description

Leidos' Security Enterprise Solutions (SES) operation is seeking a motivated and talented Senior Machine Learning Engineer to join our multidisciplinary, highly energized, and expert data science team. Leidos is a leading innovator in deploying AI solutions, and we are dedicated to pushing the boundaries of technology and data-driven insights. Join our dynamic team and be part of shaping the future and make global impact in border security.

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of cargo and vehicles through ports and borders worldwide. The ideal candidate is a senior level individual contributor and subject matter expert, who excels at taking requirements defined by business needs and generating MLOPS solutions.

Key Responsibilities:

  • Develop, train, and evaluate machine learning models using modern MLOps practices and frameworks

  • Design and maintain reproducible training pipelines that support scalable and repeatable experimentation

  • Collaborate with cross-functional teams to integrate models into operational systems and workflows

  • Optimize model performance and reliability through continuous monitoring, testing, and iteration

Required Qualifications:

Data Science & Technical Foundation

  • MS or Ph.D. in Data Science, Engineering, Applied Science or a similar discipline and a minimum of 10 years of industry experience

  • Ability to support the full ML lifecycle, from data preparation and training to deployment and monitoring

  • Experience tracking experiments, model performance, and model versioning using a platform like MLflow to ensure transparency and auditability

  • Experience with data versioning frameworks like DVC, MLFlow Dataset, or LakeFs

  • Experience deploying and managing machine learning models in production environments using Docker or Kubernetes

  • Familiarity with modern data stacks e.g., cloud platforms, data warehouses, MLOps concepts

  • Ability to evaluate technical approaches and guide technical decision-making

  • Strong track record of delivery ownership and cross-functional collaboration

  • Ability to multitask across projects

  • Excellent communication skills, both written and verbal

  • Some travel is required in support of projects (< 25%)

  • Ability to obtain and maintain Public Trust access.

Desired / Nice-to-Have Qualifications:

  • Experience using Kubeflow or Airflow

  • Familiarity with CNN-based machine learning architectures, e.g., ResNet, Yolo, U-Net

  • Experience working with images from medical, security, or NDT devices

  • Experience defining data science standards and best practices

  • Experience in training machine learning models with synthetic data, that can achieve high detection during real-time inference

  • Experience working on Customs and Border Patrol contracts

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:May 14, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

What Leidos employees say

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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