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Remote Full Stack Machine Learning Engineer Jobs in Newcastle, OK

Application Security Engineer (REMOTE)

Bethany, OK · Remote

$117K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We complement our extensive line of Motive Power and Energy Systems with a full range of integrated ... Job Purpose The Application Security Engineer is responsible for strengthening the security of our ...

Consulting Sales Engineer

Oklahoma City, OK · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position. Candidates must reside in one of the following states: Alabama, Arkansas ... We encourage people from all backgrounds to apply and realize their full potential as part of our ...

Psychiatrist (Remote)

Oklahoma City, OK · Remote

$325K - $375K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Full operational support, including scheduling, billing, intake coordination, and licensing ... Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ...

Be Seen First

We bring the machine; you bring the license. Nothing out of your pocket: - Leads provided at no out ... three full months. Write clean business that sticks. Compliance always comes first. Ready to get ...

Data Scientist, Modeler

Oklahoma City, OK · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Continuously improve forecast accuracy using statistical and machine learning techniques Customer ... Data Engineering / DW team * Product, Marketing, and Finance stakeholders * Help define scalable ...

Oklahoma City, OK (Remote) Duration: Long Term Description The Teachers' Retirement System of ... The initiative introduces a modern stack--Angular, REST APIs, Azure SQL Managed Instances, Azure ...

Statics Tutor

Oklahoma City, OK · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Strategic Segment Proposal Engineer

OK · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This is a remote position. Candidates can be located anywhere in the US. This role is contributing ... We want you to bring your full self to work-your ideas, your energy, your ambition. You'll have the ...

Senior Finance AI & Automation Developer

Bethany, OK · On-site +1

$95K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We complement our extensive line of Motive Power and Energy Systems with a full range of integrated ... Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ...

Remote Psychiatrist (MD/DO) - Oklahoma

Norman, OK · Remote

$325K - $375K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Full operational support, including scheduling, billing, intake coordination, and licensing ... Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ...

Showing results 41-60

Remote Full Stack Machine Learning Engineer information

See Newcastle, OK salary details

$35K

$106K

$149.9K

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

As of Aug 18, 2026, the average yearly pay for remote full stack machine learning engineer in Newcastle, OK is $106,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $124,300.00 per year, depending on experience, location, and employer.

What is a remote full stack machine learning engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

What are some common challenges faced by remote full stack machine learning engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Newcastle, OK?

For Remote Full Stack Machine Learning Engineer jobs in Newcastle, OK, the most frequently searched job titles are:

What cities near Newcastle, OK are hiring for Remote Full Stack Machine Learning Engineer jobs?

Cities near Newcastle, OK with the most Remote Full Stack Machine Learning Engineer job openings:

Application Security Engineer (REMOTE)

EnerSys

Bethany, OK • Remote

$117K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


EnerSys rating

7.7

Company rating: 7.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

199th of 540 rated manufacturers


Job description

EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products. 

What We're Offering

  • Paid time off plus paid holidays
  • Medical/dental/vision insurance plan
  • Life insurance, short/long term disability, tuition reimbursement, flex spending, and employee stock purchase plan
  • 401K plan
  • Culture: We value and strive for excellence in all that we do through innovative technology by creating long lasting relationships with our stakeholders, co-workers, and customers. We continually strive to foster teamwork, engagement and enhance our employee's skills and competence by providing appropriate training.

Compensation Range: $117,200 - $146,600 

Compensation may vary based on applicant's work experience, education level, skill set, and/or location.  

Job Purpose

The Application Security Engineer is responsible for strengthening the security of our applications, platforms, and development processes. This position partners with software engineers, DevOps teams, and security professionals to embed security into the full software development lifecycle. Collaborate within an expanding Cybersecurity team, and work closely with internal EnerSys teams to ensure new and continued compliance with cybersecurity frameworks and required programs and initiatives.

Essential Duties and Responsibilities

   Serve as a primary liaison between the Cybersecurity and development teams, ensuring security is integrated into design, development, deployment, and operations.
   Conduct application security assessments, code reviews, API testing, threat modeling, and penetration testing to identify vulnerabilities.
   Define, maintain, and enforce secure coding standards, patterns, and best practices.
   Integrate and manage security tooling within CI/CD pipelines, including SAST, DAST, SCA, IaC scanning, and container security solutions.
   Support secure architecture reviews for cloudnative applications, microservices, and containerized workloads.
   Support threat modeling, risk assessments, and security architecture reviews for applications.
   Ensure that all security practices meet regulatory and compliance requirements.
   Develop and deliver cybersecurity training programs for development teams to promote awareness and adherence to best practices.
   Ensure application security practices align with regulatory and compliance frameworks (e.g., NIST CSF, ISO 27001, IEC 62443).
   Keep up to date on emerging threats, incorporating threat intelligence into security practices and providing proactive defenses.
   Monitor and respond to application security threats, incidents and vulnerabilities.
   Stay up to date on regulatory developments and industry trends.
   Manage and maintain third-party vendor and consultant relationships .
   Perform other duties as assigned.

SUPERVISORY RESPONSIBILITIES: N/A

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

Must have an active passport and be willing to travel internationally.

Required Qualifications

  • Bachelor's degree in a technical field (e.g., Computer Science, Information Systems, Cybersecurity).
  • 5+ years of experience in Information Security, with at least 3 years focused on application security, secure development, or DevSecOps.
  • Demonstrated experience building and scaling an application security program, either as the lead or a key contributor.
  • Strong knowledge of OWASP Top 10, OWASP ASVS, SANS Top 25, and secure SDLC methodologies.
  • Hands-on experience with application security testing tools such as Burp Suite, Fortify, Checkmarx, Veracode, and ZAP.
  • Experience conducting threat modeling, penetration testing, secure software development, and secure architecture reviews.
  • Practical experience securing cloud environments (AWS or Azure) and implementing cloud-native security controls.
  • Familiarity with Kubernetes security, container hardening, and runtime protection.
  • Strong communication skills with the ability to collaborate and influence across technical and non-technical teams.

Preferred Qualifications

  • Relevant certifications such as CISSP, CSSLP, OSCP, GWAPT, CEH, or GIAC Cloud Security.
  • Experience securing embedded systems and mobile applications.

Reasoning Ability
   Problem management / resolution skills; project management skills; generally accepted security principles.
   Ability to analyze data, resources, and schedules to make decisions that affect a project on a regular basis.
TRAVEL REQUIRED: Up to 15%

General Job Requirements
  • This position will work in an office setting, expect minimal physical demands.

EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  

Know Your Rights

Know Your Rights (Spanish)

We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.


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