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Remote Machine Learning Engineer Jobs in Concord, NC

Autodesk

Senior Machine Learning Test Engineer

Concord, NC · On-site +1

$102K - $133K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

Varsity Tutors

Machine Learning Tutor

Charlotte, NC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Matthews, NC · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

micro1 AI

Domain Expert - (STEM PhD)

Charlotte, NC · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

DataAnnotation

SDLC Engineer - AI Trainer

Concord, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Charlotte, NC · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

micro1 AI

Engineering AI Evaluator (PhD)

Charlotte, NC · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

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

Remote Machine Learning Engineer information

See Concord, NC salary details

$29.3K

$119.9K

$180.2K

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

As of Jul 13, 2026, the average yearly pay for remote machine learning engineer in Concord, NC is $119,933.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $144,400.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
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 Remote Machine Learning Engineer jobs in Concord, NC? For Remote Machine Learning Engineer jobs in Concord, NC, the most frequently searched job titles are:
What cities near Concord, NC are hiring for Remote Machine Learning Engineer jobs? Cities near Concord, NC with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Concord, NC as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $119,933 per year, or $57.7 per hour.
Data Scientist / Machine Learning Engineer (Generative AI Focus)

Data Scientist / Machine Learning Engineer (Generative AI Focus)

Strategic Staffing Solutions

Charlotte, NC • On-site, Remote

Other

Re-posted 3 days ago

Job description

Job Description STRATEGIC STAFFING SOLUTIONS HAS AN OPENING. This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position.

Visa Sponsorship is Available. The details are below. "Beware of scams.

S3 never asks for money during its onboarding process." Job Title: Data Scientist / Machine Learning Engineer (Generative AI Focus) Contract Length: 12+ Months Hybrid schedule 3 days per week onsite/ 2 remote Location: Charlotte, NC/ Irving, TX/ Boston, MA Ref# 246769 We are seeking a highly motivated Data Scientist / Machine Learning Engineer to build advanced analytics and Generative AI (Gen AI) solutions across multiple business functions. This role combines strong data analysis capabilities with machine learning and emerging Gen AI techniques to drive business insights, automation, and innovation. The ideal candidate is hands-on, analytical, and comfortable owning the full lifecycle of data science solutions-from problem definition through model development and deployment-while collaborating closely with engineering and business stakeholders

Key Responsibilities Perform in-depth data analysis and exploration using SQL and statistical techniques to uncover patterns, solve business problems, and support data-driven decision-making. Work with large, complex datasets while ensuring data quality, integrity, and usability. Design, develop, and implement scalable solutions using Python or Java.

Utilize data science and machine learning libraries such as NumPy, SciPy, Matplotlib, and Scikit-learn. Build reusable pipelines for data processing, feature engineering, and model evaluation. Develop and evaluate machine learning models, including tree-based and ensemble algorithms such as Random Forest and XGBoost.

Assess model performance, tune hyperparameters, and ensure models meet business and technical requirements. Apply AI-assisted techniques to enhance productivity and insights. Craft effective prompts using Gemini or similar generative AI models to support data exploration, feature generation, analysis, and summarization.

Communicate insights through visualizations, reports, and presentations. Translate complex technical findings into actionable business recommendations. Partner closely with engineering teams for implementation and business stakeholders to ensure alignment with strategic objectives.

Required Qualifications Strong SQL and data analysis skills. Experience working with structured and semi-structured datasets. Proficiency in Python or Java for data science, machine learning, and analytical workloads.

Hands-on experience with machine learning frameworks and model development. Experience building, training, and evaluating predictive models in production or near-production environments. Ability to work independently and own initiatives end-to-end, from problem definition and requirements gathering through solution delivery and validation.

Experience using generative AI models to augment analytical workflows. Familiarity with prompt engineering. Experience leveraging large language models (LLMs) for automation and analytical tasks.

Experience integrating Gen AI capabilities into analytical processes. Generative AI Focus Develop and deploy Gen AI solutions that enhance productivity, automate workflows, and generate AI-driven business insights. Apply foundational knowledge of Gen AI concepts, tools, and use cases.

Experience with large language models (LLMs), prompt engineering, or AI-assisted analytics. Strong interest in emerging AI technologies and a willingness to continuously learn and apply new Gen AI innovations. Preferred Qualifications Experience working in financial services, banking, or capital markets environments.

Experience in data-driven or risk-focused domains. Familiarity with cloud platforms. Experience with data engineering pipelines.

Familiarity with model deployment frameworks. Exposure to big data technologies. Experience with distributed computing environments.

Exposure to real-time analytics environments. Ideal Candidate Profile Self-driven data professional with strong analytical and problem-solving skills. Combines practical machine learning expertise with emerging AI capabilities.

Comfortable navigating ambiguous problems and translating business needs into technical solutions. Capable of delivering measurable business outcomes. Strong communication skills with both technical and non-technical stakeholders.

Passionate about applying traditional machine learning and modern Generative AI techniques to solve complex business challenges.

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