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Senior Machine Learning Software Engineer Jobs in Charlotte, NC

AXS

Software Engineer

Charlotte, NC · On-site

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

AXS

Software Engineer

Charlotte, NC · On-site

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

AXS

Software Engineer

Charlotte, NC

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

Siemens AG

Senior Software Engineer

Charlotte, NC · On-site

$154.67 - $233.30/hr

Senior Software Engineer [MULTIPLE POSITIONS] Job Location: Charlotte, NC Job Type: Full Time Rate of Pay: The salary range for this position in Charlotte, NC is $154,669 - $233,300 per year and this ...

AEG

Software Engineer- CH- AXS

Charlotte, NC · On-site

They are seeking a Software Engineer to join their carbonhouse team in Charlotte, NC, focusing on ... machine learning fundamentals (training, fine-tuning, evaluation) • Experience with ...

Ztek Consulting INC

Software Engineer

Charlotte, NC · On-site

Software Engineer Duration: 6-12 months Location: Onsite - Charlotte, NC Work Type: Rate: Pay range ... talent, machine learning algorithms, and artificial intelligence to provide customized talent ...

Velocitor Solutions

Sr. Software Engineer

Charlotte, NC · On-site

$119K - $157K/yr

As a Senior Software Engineer, you will lead the development of secure, scalable, and maintainable applications. You'll work closely with cross-functional teams, contribute to architectural decisions ...

VELOCITOR SOLUTIONS

Sr. Software Engineer

Charlotte, NC · On-site

$114K - $151K/yr

As a Senior Software Engineer, you will lead the development of secure, scalable, and maintainable applications. You'll work closely with cross-functional teams, contribute to architectural decisions ...

Penske Racing South

Senior Software Engineer

Mooresville, NC · On-site

$116K - $152K/yr

Team Penske is looking for a senior level Software Engineer in Mooresville, NC (on-site position, this is not a remote or hybrid position) with expertise in C#, ASP.NET Blazor, HTML/CSS, SQL, Docker ...

KBI Biopharma, Inc.

Senior Software Engineer

Concord, NC · On-site +1

$114K - $150K/yr

Job summary A Senior Software Engineer with exceptional data and software engineering skills, and a passion for building data-centric applications is to join our team of software developers, data ...

AEG Worldwide

Software Engineer- CH- AXS

Charlotte, NC · On-site

AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be ... Knowledge of machine learning fundamentals (training, fine-tuning, evaluation) * Experience with ...

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All JobsMachine Learning Software Engineer JobsSenior Machine Learning Software Engineer JobsSenior Machine Learning Software Engineer Jobs in Charlotte, NC

Senior Machine Learning Software Engineer information

See Charlotte, NC salary details

$73.7K

$140K

$187.5K

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

As of Aug 18, 2026, the average yearly pay for senior machine learning software engineer in Charlotte, NC is $139,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $157,700.00 per year, depending on experience, location, and employer.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.

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

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Charlotte, NC?

The most popular types of Machine Learning Software Engineer jobs in Charlotte, NC are:

What are popular job titles related to Senior Machine Learning Software Engineer jobs in Charlotte, NC?

For Senior Machine Learning Software Engineer jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Software Engineer jobs in Charlotte, NC look for?

The top searched job categories for Senior Machine Learning Software Engineer jobs in Charlotte, NC are:

Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in Charlotte, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $139,955 per year, or $67.3 per hour.

Lead Machine Learning / Data Science Engineer

CapTech Consulting

Charlotte, NC • On-site

$54.50 - $72/hr

Full-time

Medical, Retirement, PTO

Re-posted 17 days ago

Job description

Company Description
CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Lead Machine Learning Engineer position include:
  • Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
  • Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
  • Deconstructing client needs into data-driven processes/models and analytical measures.
  • Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
  • Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
  • Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements.
  • Growing CapTech's Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications
  • 7+ years of experience delivering data engineering and machine learning solutions on cloud platforms
  • Bachelor's degree or equivalent combination of education and experience.
  • Experience providing technical leadership and mentoring other engineers in data engineering space
  • Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
  • Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
  • Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
  • Proficiency with containerization (e.g., Docker) and microservices.
  • Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
  • Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
  • Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
  • Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
  • Knowledge of DevOps and automation best practices.
  • Knowledge of statistics and statistical modeling methods.
  • Knowledge of model management and model versioning best practices.
  • Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
  • Experience with prompt engineering, MCP and RAG, and agentic AI architectures
  • Strong understanding of conversational UX and prompt evaluation metrics
  • Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
  • Experience with multi-agent orchestration

Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs.
  • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
  • Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
  • Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs
  • Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care
  • Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
  • Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
  • Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities.
  • 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

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