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Remote Machine Learning Jobs in Edgewood, KY (NOW HIRING)

LOCATION & WORK ARRANGEMENTS The role is remote, but you will be expected to travel occasionally to ... machine learning frameworks is essential; * Data architecture: Stream processing and batch data ...

Sr. Software Engineer

Cincinnati, OH · Remote

$155K - $165K/yr

... machine learning frameworks and libraries, such as TensorFlow, PyTorch, and Scikit-learn; and (v) OAuth2, OpenID Connect, SAML protocols and encryption technologies. Must possess experience with (i ...

Sr. Software Engineer

Cincinnati, OH · On-site +1

$155K - $165K/yr

Packaging, orchestrating, and managing containerized services on Amazon EKS and Azure AKS MongoDB databases Software development experience with Java 21 AI and machine learning frameworks and ...

... powered by intelligent machines. If you're driven by ambition, success, fun, and learning ... Remote work options 🏠 * Flexible working hours 🕜 * Benefits above the law * But it's not just ...

Remote Company Overview: From start-ups to blue-chips, Saratech (saratech.com) helps companies ... machinery. We are seeking highly skilled and motivated CAD Application Engineers to join our ...

... goals Learning & Growth * Learn internal system architecture, development standards, and best ... Hybrid, in-office, or remote work arrangements depending on project needs and training requirements ...

... goals Learning & Growth * Learn internal system architecture, development standards, and best ... Hybrid, in-office, or remote work arrangements depending on project needs and training requirements ...

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot work with an individual that will require sponsorship to work W2 in the future Prefer P&C Industry ...

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot work with an individual that will require sponsorship to work W2 in the future Prefer P&C Industry ...

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot work with an individual that will require sponsorship to work W2 in the future Prefer P&C Industry ...

Sr. Innovation Software Engineer

Cincinnati, OH · On-site +1

$117K - $155K/yr

Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: 77,000.00 ...

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Remote Machine Learning information

See Edgewood, KY salary details

$25.1K

$42K

$86.8K

How much do remote machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote machine learning in Edgewood, KY is $41,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $45,400.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
What are the most commonly searched types of Machine Learning jobs in Edgewood, KY? The most popular types of Machine Learning jobs in Edgewood, KY are:
What are popular job titles related to Remote Machine Learning jobs in Edgewood, KY? For Remote Machine Learning jobs in Edgewood, KY, the most frequently searched job titles are:
What cities near Edgewood, KY are hiring for Remote Machine Learning jobs? Cities near Edgewood, KY with the most Remote Machine Learning job openings:

[US] Strategic Partnership & Launch Leader

Benchmark Gensuite

Cincinnati, OH • Remote

$84K - $85K/yr

Other

Re-posted 27 days ago


Job description

Salary:

Strategic Partnership and Launch Leader

Full Time
Remote - US


Innovate with Benchmark Gensuite as a Strategic Partnership and Launch Leader
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, youll 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 platformlocally, 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.

Position Overview


We are seeking aStrategic Partnership and Launch Leaderto join our team. This is a unique opportunity to build and lead a function dedicated to orchestrating our most critical and complex new subscriber launches and strategic partnerships.

This person will play a pivotal role in guiding high-impact new subscriber launches (NSL) and strategic transitions by providing clear ownership, executive-level coordination, and disciplined execution from planning through stabilization.

In this role, you will serve as a strategic orchestrator and execution leader, ensuring seamless coordination across multiple teams and functions during high-impact customer engagements. You'll own the success of new subscriber launches from planning through stabilization, driving alignment, accountability, and exceptional outcomes for our most important relationships.

This is a highly visible, influence-driven role for a leader who thrives in ambiguity, brings structure to complexity, and partners seamlessly across teams to deliver confident, outcomes-focused, subscriber experiences.

Key Responsibilities


Strategic Leadership & Execution

  • Lead end-to-end new subscriber launches and at-risk transitions, serving as the primary point of continuity and accountability
  • Establish clear ownership, milestones, and success metrics across the subscriber lifecycle from planning through stabilization
  • Develop and execute comprehensive launch strategies that align business objectives with customer success outcomes
  • Establish clear ownership structures, timelines, and success metrics across all launch phases
  • Identify and mitigate risks early, escalating issues and implementing solutions proactively

Cross-Functional Collaboration

  • Partner closely with Account Management, Expansion, Revenue & Growth, Fulfillment & Delivery, and Product teams to ensure coordinated execution
  • Lead cross-functional alignment meetings, driving consensus on priorities, dependencies, and accountability
  • Break down silos and facilitate communication between teams to ensure nothing falls through the cracks
  • Support and enable existing team structures rather than replacing them, complement and enhance current capabilities

Executive Engagement & Stakeholder Management

  • Manage executive-level relationships and communications with strategic/priority subscribers
  • Prepare and deliver executive briefings, status updates, and business reviews
  • Escalate critical issues appropriately and recommend strategic solutions
  • Serve as a trusted advisor to leadership on complex customer situations


Program Management & Accountability

  • Establish and track key performance indicators (KPIs) and success metrics for each launch
  • Maintain detailed project plans, timelines, and dependency maps
  • Ensure accountability through clear ownership assignments and regular progress monitoring
  • Document lessons learned and best practices to continuously improve launch processes


Continuity & Stabilization

  • Provide consistent leadership through critical transition points and key milestones
  • Ensure smooth handoffs between launch and steady-state operations
  • Monitor post-launch performance and support stabilization efforts
  • Build long-term strategic relationships with key subscribers

Qualifications

  • 5-7 years of experience in customer success, account management, program management, or related roles with demonstrated expertise in managing complex, high-stakes engagements.
  • Experience in EHS, ESG, or operational risk management industries.
  • Strong cross-functional leadership experience with ability to influence and align teams without direct authority.
  • Outstanding organizational and project management skills with ability to manage multiple complex initiatives simultaneously.
  • Domain expertise in B2B enterprise customer engagement, SaaS operations, or similar environments.
  • Background in customer lifecycle management or customer success operations.
  • Familiarity with CRM systems, project management tools, and business analytics platforms.
  • Experience in a matrix organization or complex organizational structure.

What We're Looking For

We're seeking domain experts who are passionate about:

  • Leading transformational customer engagements and new subscriber launches.
  • Building and optimizing processes that scale.
  • Solving complex, cross-organizational challenges.
  • Driving measurable business impact through strategic collaboration.
  • Developing and mentoring high-performing teams.


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

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