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Machine Learning Engineer Jobs in Burlington, NC

Seco is a global metal cutting and machining solutions provider with a strong heritage in ... Committed to safety, sustainability, continuous improvement, and ongoing learning. Qualification ...

Seco is a global metal cutting and machining solutions provider with a strong heritage in ... Committed to safety, sustainability, continuous improvement, and ongoing learning. Qualification ...

Seco is a global metal cutting and machining solutions provider with a strong heritage in ... Committed to safety, sustainability, continuous improvement, and ongoing learning. Qualification ...

Seco is a global metal cutting and machining solutions provider with a strong heritage in ... Committed to safety, sustainability, continuous improvement, and ongoing learning. Qualification ...

ERP AI Engineer - Manager

Greensboro, NC ยท On-site

$99K - $232K/yr

... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ... The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a ...

Linear Algebra Tutor

Greensboro, NC ยท Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Showing results 41-60

Machine Learning Engineer information

See Burlington, NC salary details

$26.3K

$107.5K

$161.5K

How much do machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning engineer in Burlington, NC is $107,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,700.00 and $129,400.00 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 job categories do people searching Machine Learning Engineer jobs in Burlington, NC look for?

The top searched job categories for Machine Learning Engineer jobs in Burlington, NC are:

What cities near Burlington, NC are hiring for Machine Learning Engineer jobs?

Cities near Burlington, NC with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Burlington, 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 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $107,493 per year, or $51.7 per hour.

Project Engineer

Seco

Mebane, NC โ€ข On-site

Full-time

Posted 11 days ago


Job description

WHO WE ARE:

Seco is a global metal cutting and machining solutions provider with a strong heritage in innovation, precision tools, and lasting partnerships. With sustainability at the heart of how we work, we help manufacturers solve complex challenges and shape the future of manufacturing through collaboration, technology, and customer-focused solutions.

Seco SOLVA is transforming manufacturing by going beyond cutting tools to deliver holistic, end-to-end solutions that improve efficiency, profitability, and competitiveness across the full production process. Built on Seco's strong legacy, strategic partnerships, and innovative thinking, SOLVA helps manufacturers unlock their full potential through fast, easy, and sustainable solutions.

We are now looking for a Project Engineer to develop and deliver end-to-end manufacturing solutions from concept through industrialisation. In this role, you will combine machining expertise, digital engineering tools, project leadership, and customer collaboration to define practical technical approaches, implement robust solutions, and create measurable value for customers and partners.

Job Summary:
As Project Engineer, you will lead technical projects from concept through implementation, ensuring delivery to agreed scope, quality, timelines, cost, and customer expectations. You will analyse manufacturing processes, define machining and tooling strategies, use CAD/CAM and simulation software to optimise solutions, and coordinate customers, sales teams, technical partners, and internal specialists. You will also support proposals, validation, reporting, project governance, and continuous improvement while representing Seco as a trusted technical partner.

This role reports to the Regional Innovation Hub Manager

Key responsibilities of the role:

Technical & Project Responsibilities

  • Lead end-to-end manufacturing projects from concept to implementation, delivering quality solutions on time and within scope.
  • Turn customer needs into practical machining, tooling, and execution strategies.
  • Use CAD/CAM and simulation tools to optimise processes, proposals, validation, and project documentation.

Technical Leadership

  • Shape high-performing cutting-tool applications and machining strategies.
  • Provide technical direction on tool design, programming, process optimisation, and digital solution validation.

Team Management

  • Bring together sales, engineering, customer support, and technical specialists to achieve shared project goals.
  • Coach colleagues and share expertise to strengthen team capability and delivery.

Customer Engagement

  • Build trusted customer relationships and shape solutions that create clear business value.
  • Partner with sales throughout consultation, implementation, and troubleshooting.
  • Lead customer discussions and develop tailored tooling and machining solutions.

Operational & Strategic Oversight

  • Coordinate multiple projects, balancing priorities, resources, risks, and customer commitments.
  • Track performance and continuously improve workflows, standards, and project delivery.

Industry & Market Alignment

  • Turn customer feedback and market trends into new technical opportunities.
  • Benchmark competing solutions and champion digital transformation in manufacturing.

Data Analysis & Reporting

  • Analyse trial, process, and customer data to guide technical decisions and recommendations.
  • Showcase impact through case studies and measures such as tool life, cycle time, quality, productivity, and cost savings.

Health, Safety, Environment, and Compliance

  • Champion a safe, responsible, and environmentally conscious working culture.
  • Follow company policies and support risk management, quality improvement, and audits.

Required Competencies:

Skills and strengths we hope you bring

  • Strong machining expertise across turning, milling, drilling, cutting-tool applications, and process optimisation.
  • Hands-on experience with CAD/CAM, manufacturing simulation, and programming 2-, 3-, and 5-axis machines, including multitasking machines.
  • Confident project leader with strong problem-solving, planning, coordination, and attention to detail.
  • Clear communicator who can engage customers, influence technical decisions, and collaborate across sales, engineering, suppliers, and partners.
  • Digitally confident with CRM, Microsoft 365, project tools, dashboards, data analysis, and technical reporting.
  • Fluent written and spoken English, with effective presentation and report-writing skills.

Behavior

  • Customer-focused and accountable, with the technical credibility to create measurable value.
  • Autonomous, rigorous, and adaptable, while enjoying collaboration across diverse teams.
  • Curious, innovative, and data-driven, with a practical approach to complex manufacturing challenges.
  • Committed to safety, sustainability, continuous improvement, and ongoing learning.

Qualification and Experience:

  • Bachelor's degree in engineering, manufacturing, mechanical engineering, or a related technical field, or equivalent relevant industry experience.
  • 5-7 years of experience in production or mechanical engineering, technical application support, industrial sales, or customer-facing project delivery, preferably in metal cutting or manufacturing services.
  • Demonstrated experience leading technical projects, defining machining or tooling methodology, and delivering solutions from concept through implementation.
  • Experience with value-based or consultative selling, process development, CAD/CAM programming, CRM systems, and Microsoft Office tools.
  • Fluent English and willingness to travel domestically and internationally; a valid passport is required. Agile project management and Lean Six Sigma qualifications are advantageous.

Important information:
Selection and interviews will take place on an ongoing basis, so we encourage you to submit your application through the job link as soon as possible, and no later than 25 August 2026. To help us keep the recruitment process fair, smooth, and consistent for everyone, please submit your application only through the job link and not by personal email.