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Senior Machine Learning Engineer Jobs in Concord, NC

Xsolla

Principal / Staff Data Scientist

Concord, NC · Remote

ABOUT YOU We are looking for an accomplished Principal Machine Learning Engineer to join our global ML organization. In this role, you will drive innovation across our machine learning ecosystem ...

TrueML

Senior Manager, DevOps

Concord, NC · Remote

$170K - $220K/yr

TrueML's approach uses machine learning to engage each customer digitally and adjust strategies in ... , or Software Engineering; 5+ years of experience managing engineers * Expert-level mastery with ...

BestCo

Senior Machine Operator (Cooker)

Mooresville, NC · On-site

$16 - $19.75/hr

SCN BestCo is a leading innovator, developer and manufacturer of Vitamin, Mineral & Supplement (VMS ... Ensure machine is set up properly * Set up Ishida scales, turn on computer and zero scale, program ...

Vangard, Inc.

Senior AI/ML Engineer

Charlotte, NC · On-site

$102K - $140K/yr

Collaborate with senior engineers and data scientists in feature development, experiments, and ... Master's degree in computer science, Machine Learning, Artificial Intelligence, or a related field ...

New

Deloitte

Lead Forward Deployed Engineer - AWS

Charlotte, NC · On-site

$100K - $131K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

Staffingine LLC

MLOps Engineer

Charlotte, NC · On-site

Overall 8 to 10 years of solid experience in the areas of data engineering machine learning data science * 4 to 6 years of strong experience with the following machine learning topics classification ...

Deloitte

Forward Deployed Engineer- AWS

Charlotte, NC · On-site

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ ... Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ...

Marencor

ML Engineer

Charlotte, NC · On-site

Proven experience in data science, machine learning, or predictive analytics roles * Proficiency in programming languages commonly used in data science (e.g., Python, R, etc.) * Experienced in using ...

Donato Technologies, Inc

ML Ops Engineer

Charlotte, NC · On-site

$60/hr

Overview Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities * Develop and maintain ML pipelines using tools like MLflow ...

Lorven Technologies

Python Developer AI/ML

Charlotte, NC · On-site

$49 - $67.75/hr

In this role, you will work closely with Senior Engineers, leads, and product teams to design scalable machine learning pipelines, optimize model performance, and deliver production ready AI ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Concord, NC

Senior Machine Learning Engineer information

See Concord, NC salary details

$55.4K

$117.9K

$170.9K

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

As of Aug 11, 2026, the average yearly pay for senior machine learning engineer in Concord, NC is $117,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for 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 Concord, NC? The most popular types of Machine Learning Engineer jobs in Concord, NC are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Concord, NC? For Senior Machine Learning Engineer jobs in Concord, NC, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Concord, NC look for? The top searched job categories for Senior Machine Learning Engineer jobs in Concord, NC are:
What cities near Concord, NC are hiring for Senior Machine Learning Engineer jobs? Cities near Concord, NC with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Concord, NC as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $117,873 per year, or $56.7 per hour.

Principal / Staff Data Scientist

Xsolla

Concord, NC • Remote

Full-time

Posted 7 days ago

Job description

ABOUT YOU

We are looking for an accomplished Principal Machine Learning Engineer to join our global ML organization. In this role, you will drive innovation across our machine learning ecosystem, architect advanced ML solutions, and mentor junior ML engineers around the world. You will play a key part in shaping our technical direction—leading complex ML initiatives, elevating engineering standards, and guiding teams as they build scalable, production‑ready machine learning systems.

If you are ambitious, energized by solving challenging technical problems, passionate about developing talent, and excited to influence the future of ML/AI in the video game industry, this could be the perfect role for you.

ABOUT US
 
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Requirements:

Modeling Depth

  • Advanced Degree in Statistics, machine learning or related areas. Experience in statistics/ML expertise with a track record of leading high-impact data science initiatives at scale of billions of transactions.

  • Hands-on experience creating, training and fine-tuning models not just integrating hosted model APIs. You should be able to walk through  the data, the objective, what broke, and the before/after evaluation numbers, and why the model did not perform as expected.

  • Experience owning models in production: deployment, monitoring, drift detection, retraining — with real latency budgets, not just research notebooks.

  • Production experience with classical ML for fraud/anomaly detection, recommendation, or churn/LTV (gradient boosting, deep learning, graph-based models).

Technology Familiarity

  • Supervised learning, transfer leaning on machine learning as well as neural networks

  • Basic LLM knowledge, especially how to use it and where not to use it.

  • MLOps foundations: feature stores, experiment tracking, model registries (MLflow/W&B-class), continuous training pipelines.

  • Model serving and inference optimization (vLLM-class serving, quantization).

Nice-to-Have:

  • Publications, conference talks, or recognized open-source contributions to training/eval tooling .

  • Graph-based fraud detection (fraud rings, device/account linkage)..

  • Gaming, payments,  fraud, advertising  domain experience.

  • Hands-on, up-to-date experience with modern AI tools (e.g., Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work.

Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each US employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
 
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
 
Criminal History Consideration:
For the Data Scientist position, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
 
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
 
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.