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Remote Senior Machine Learning Engineer Jobs in Independence, KY

Circle

Senior Software Engineer

Florence, IN · Remote

$152K - $205K/yr

The Senior Software Engineer is responsible for extending Circle's in-house blockchain systems ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Kemper

Data Scientist

Cincinnati, OH · On-site +1

Solid understanding of statistical modeling and machine learning concepts, including model training ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Private Label Staff

Senior Salesforce Developer

Cincinnati, OH · On-site +1

$122K - $149K/yr

Senior Salesforce Developer A growing and highly collaborative organization is conducting a ... While the position will begin as fully remote, candidates should be comfortable transitioning to a ...

Varsity Tutors

Data Science Tutor

Cincinnati, OH · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Matrix Technologies

Civil Engineer (Remote)

Cincinnati, OH · Remote

$81K - $115K/yr

Matrix is seeking a self-driven mid to senior-level experienced Civil Engineer to join our team in ... We will consider a fully remote option for the right candidate. The position is salaried and ...

MM International

SDET - 100 % Remote

Cincinnati, OH · Remote

$51.25 - $66/hr

Remote - 100% allowable Perm/Contract/CTH: Contract (potential to extend or convert based on ... The Senior SDET works together with all members of the agile team, and ART(s), to determine ...

Varsity Tutors

Python Tutor

Cincinnati, OH · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Private Label Staff

Senior Salesforce Specialist

Florence, KY · On-site +1

$124K - $152K/yr

Senior Salesforce Developer A growing and highly collaborative organization is conducting a ... While the position will begin as fully remote, candidates should be comfortable transitioning to a ...

Accenture

SAP Solution Architect - Mid Market

Cincinnati, OH · Remote

$79 - $106.25/hr

Remote We Are: Accenture's Commercial Client Success organization helps clients realize measurable ... Knowledge of SAP Joule, SAP AI Foundation, Machine Learning, Generative AI, Agile, and DevOps. * ...

New

Storage Solutions Inc

Software Engineer

Erlanger, KY · On-site +1

Work closely with senior developers throughout the project lifecycle, including requirements ... Hybrid, in-office, or remote work arrangements depending on project needs and training requirements ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in Independence, KY

Remote Senior Machine Learning Engineer information

See Independence, KY salary details

$74.3K

$141.1K

$189K

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

As of Jul 30, 2026, the average yearly pay for remote senior machine learning engineer in Independence, KY is $141,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $159,000.00 per year, depending on experience, location, and employer.

How do Remote Senior Machine Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a track record of impactful projects, and expertise in tools like TensorFlow or PyTorch.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a Remote Senior Machine Learning Engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a Remote Senior Machine Learning Engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

What engineers make $300,000 a year?

Senior machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and work at large tech companies or in specialized industries. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand markets.

Will MLE be replaced by AI?

As a Senior Machine Learning Engineer, the role involves designing, developing, and maintaining AI systems, which currently require human expertise. While AI tools can automate certain tasks, the need for skilled professionals to interpret data, ensure ethical use, and improve models remains essential. AI is more likely to augment rather than replace the responsibilities of MLEs in the foreseeable future.

What engineers make $200,000 a year?

Senior machine learning engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and proficiency with tools like TensorFlow or PyTorch. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.
Remote Senior Machine Learning Engineer jobs near you

[US] IT Systems Implementation Engineer

Benchmark Gensuite

Cincinnati, OH • Remote

Other

Re-posted 3 days ago

Job description

IT Systems Implementation Engineer

Data Integration, Analytics & Agentic AI Solutions

Full Time
Remote - US

Reports to: Director of Product Implementation and Enablement


Innovate with Benchmark Gensuite as an IT Systems Implementation Engineer
Everyone wants to make the world a better place. We work to make it happen. By joining Benchmark Gensuite and exploring careers in the EHS, Sustainability, and ESG Disclosure Reporting space, you’ll be helping customers throughout the business community empower informed decision-making, improve employee safety, and lessen their environmental footprint while creating a culture that values diversity, equity, and inclusion. Join us and help make the corporate world a better place for the planet and better for its employees.
Benchmark Gensuite jobs play a crucial role in helping develop our unified EHS, Sustainability, and ESG digital transformation software solutions that enable cross-functional performance excellence, enhance businesses’ sustainability efforts, and help them achieve their ESG goals. With our incredible global team, the collaborative spirit of our subscribers and partners, and the continuous innovation in exciting new technologies like Artificial Intelligence, Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and evolve your skills to develop fresh ideas and initiatives. 
Benchmark Gensuite Benefits
At Benchmark Gensuite, your hard work is rewarded. We offer annual bonus programs, regular team-building events, and off-cycle reviews to promptly recognize and reward excellent performers. With engaging team activities including happy hours and exciting virtual events, we actively encourage our teams to connect and build a strong, supportive, and fun rapport! Our Benchmark Gensuite Team Member Networks, like the Respect for Diversity Group and the Sustainability Group, offer a safe and supportive space, bringing together team members who share a common identity and empowering them to voice their ideas and initiate action. Explore Benchmark Gensuite job openings and come join us as we combine our collective creativity and passion to meet and exceed the expectations of our customers.
About Benchmark Gensuite… 


Benchmark Gensuite® enables companies to implement robust, cross-functional digital systems for EHS, Sustainability, and ESG Reporting through a unified digital platform—locally, globally, and across diverse operating profiles.
With intuitive, best-practice-based process functionality, flexible configurations, and powerful extensions, the Benchmark Gensuite® platform has helped companies worldwide manage their EHS, Sustainability; Quality; Operational Risk and Compliance; Product Stewardship, and Supply Chain Risks for over two decades; and now organically integrated with cutting-edge ESG disclosure reporting and management solutions. Join over 3 million users that trust Benchmark Gensuite® with their software system needs and benefit from rapid deployment and adoption, immediate return on investment (ROI), service excellence, and collaborative innovation.

About the Role:


Benchmark Gensuite is seeking a hands-on IT Systems Implementations Engineer to serve as the technical delivery owner for Subscriber-facing integration and AI implementation projects. This is a customer-facing, high-impact role for a professional who combines strong engineering instincts with the communication skills to work confidently alongside enterprise IT teams.

You will lead end-to-end delivery of systems integration projects—from technical discovery through go-live—working directly with Subscriber IT organizations to define requirements, design solutions, and drive implementation. A key emerging focus of this role is the deployment of Agentic AI solutions within Subscriber environments, enabling intelligent workflow automation on top of our SaaS platform. This role carries a clear growth path toward a Forward Deployed Engineer position for the right candidate.


Key Responsibilities:


Subscriber Engagement & Technical Discovery

  • Serve as the primary technical implementation contact for Subscriber IT teams across integration, analytics, and AI deployment engagements.
  • Lead technical discovery sessions to elicit, document, and validate integration and automation requirements.
  • Build trusted working relationships with Subscriber stakeholders ranging from IT managers and system administrators to enterprise architects.
  • Translate complex, ambiguous customer requirements into clear and actionable engineering specifications.


Systems Integration & Implementation

  • Own end-to-end delivery of systems integration projects including HR data synchronization, Single Sign-On (SSO/SAML/SCIM) implementations, application-specific data migrations, and API-driven record updates.
  • Design and document data mapping specifications, API integration flows, and system architecture diagrams.
  • Configure, test, and validate integrations in collaboration with Subscriber IT teams and internal Engineering.
  • Troubleshoot integration failures, data discrepancies, and connectivity issues across implementation phases.
  • Manage project scope, timelines, risks, and stakeholder communications across concurrent Subscriber engagements.


Agentic AI Solution Deployment

  • Partner with internal Engineering and Product teams to implement Agentic AI capabilities within subscriber instances.
  • Engage Subscriber IT teams to assess workflow automation opportunities and define requirements for AI agent implementations.
  • Support configuration, testing, and rollout of AI-driven automation solutions including intelligent data processing, decision support agents, and workflow orchestration.
  • Stay current on emerging Agentic AI platforms, frameworks, and SaaS integration patterns relevant to the enterprise EHS and compliance domain.
  • Serve as a knowledgeable resource to Subscribers navigating their AI adoption journey, helping them understand capabilities, limitations, and best practices.


Documentation & Continuous Improvement

  • Maintain comprehensive project documentation including requirements specs, integration design documents, test plans, and go-live runbooks.
  • Contribute to internal knowledge bases, reusable integration templates, and implementation playbooks.
  • Provide structured feedback to Product and Engineering teams based on Subscriber implementation experiences.


Required Qualifications

  • 3–5 years of experience in a systems implementation, solutions engineering, IT integration, or technical consulting role.
  • Solid working knowledge of systems integration concepts, RESTful APIs, webhooks, and data workflow design.
  • Hands-on experience with one or more of the following: SSO/SAML/SCIM protocols, HRIS platform integrations (e.g., Workday, ADP, SAP SuccessFactors), ETL pipelines, or enterprise data migration projects.
  • Experience deploying or configuring AI-driven automation within enterprise SaaS platforms.
  • Demonstrated ability to lead technical conversations and communicate complex concepts clearly to both technical and non-technical audiences.
  • Proven ability to manage multiple concurrent customer-facing implementation projects with competing timelines.
  • Strong documentation skills—comfortable producing requirements specs, data maps, API specs, and integration design artifacts.
  • Proficiency with project tracking and collaboration tools such as Jira, Confluence, Asana, or equivalent.


Preferred Qualifications

  • Exposure to Agentic AI platforms, LLM-based workflow automation, or AI agent frameworks (e.g., LangChain, AutoGen, CrewAI, or vendor-native AI agents in enterprise SaaS).
  • Familiarity with AI orchestration concepts such as tool use, retrieval-augmented generation (RAG), prompt chaining, and multi-agent coordination.
  • Familiarity with iPaaS platforms such as MuleSoft, Workato, Dell Boomi, or similar.
  • Working knowledge of API testing tools such as Postman or Swagger.
  • Basic scripting or query skills (SQL, Python, or similar) for data validation and troubleshooting.
  • Exposure to EHS, compliance, or workforce management software platforms.
  • PMP, CAPM, or equivalent project management certification.


Career Growth:

This role is designed to grow with you. High-performing candidates will have the opportunity to advance into a Forward Deployed Engineer role—taking on deeper technical ownership of integration architecture, Agentic AI implementations, custom development, and strategic Subscriber partnerships.


Questions about the position? Please contact our HR Team, at jobs@benchmarkdigital.com.

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