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Machine Learning Engineer Opt Jobs in Glasgow, KY

StackandCo

Developer Advocate

Cork, KY

\n \n \n \n \n Our client are a digital optimisation platform using AI and Machine Learning ... You will be given a lot of autonomy in this role. \n \n \n \n \n \n The successful Developer ...

Lantern

Data Architect

Edmonton, KY · On-site

$54 - $69.25/hr

... data engineering, semantic modeling, analytics, reporting, and machine learning. • Conducting customer-facing strategic workshops and assessments of existing data platforms to create ...

UHS

HIM/MEDICAL RECORDS CODER

Bowling Green, KY · On-site

$45K - $61K/yr

... programming to expand your experience and energize your career * HealthStream online learning ... Checks mail, fax machine, e-mail, and HIM voice mail daily for release of information requests ...

New

UHS

HIM/MEDICAL RECORDS CODER

Bowling Green, KY · On-site

$45K - $61K/yr

... programming to expand your experience and energize your career * HealthStream online learning ... Checks mail, fax machine, e-mail, and HIM voice mail daily for release of information requests ...

New

UHS

HIM/MEDICAL RECORDS CODER

Bowling Green, KY · On-site

$45K - $61K/yr

... programming to expand your experience and energize your career * HealthStream online learning ... Checks mail, fax machine, e-mail, and HIM voice mail daily for release of information requests ...

New

All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Glasgow, KY

Machine Learning Engineer Opt information

See Glasgow, KY salary details

$27.6K

$112.7K

$169.3K

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

As of Aug 21, 2026, the average yearly pay for machine learning engineer opt in Glasgow, KY is $112,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $135,600.00 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 into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

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 a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What cities near Glasgow, KY are hiring for Machine Learning Engineer Opt jobs?

Cities near Glasgow, KY with the most Machine Learning Engineer Opt job openings:

Machine Learning Engineer Opt jobs near you

Developer Advocate

StackandCo

Cork, KY

Full-time

Re-posted 20 days ago

Job description

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\n Our client are a digital optimisation platform using AI and Machine Learning technology to deliver exceptional customer experience for a global client base, many of which are familiar, household names.<\/span>
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\n They are currently looking for Developer Advocate to join their highly collaborative product team. You will be given a lot of autonomy in this role.<\/span>
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\n The successful Developer Advocate will have the opportunity to make a huge impact, you will be given freedom to shape the product and impact the direction the company is going.<\/span>
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\n Responsibilities
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  • Contribute to the company's new public GitHub repository, including performing code reviews, contributing code and helping shape the direction of the project
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  • Write and edit blueprints, code samples, technical knowledge base articles and developer documentation
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  • Collaborate with the company's Consulting & Services to identify how customers are using code to solve problems and scale the solutions through blueprints or other mediums
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  • Communicate the needs of the developer community and provide feedback to the platform, product and engineering teams
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    \n Requirements:
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    • 3\-5 years in an engineering or consulting services role
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    • Commercial experience programming with JavaScript, HTML, CSS and templating languages such as FreeMarker or Handlebars
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    • Strong proficiency with APIs and API tooling, such as Postman
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    • Familiar with SQL and basic data management
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    • Excellent communication skills and strong command of the English language essential
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    • Previous experience in a collaborative environment, understanding and empathising with developers (their pain points are your pain points)
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    • Passion for expanding your own knowledge and finding ways to make things easier, either through user experience, feature, or API improvements
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    • Prior MarTech experience in a technical role highly advantageous
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      \n A generous package including excellent benefits and share options is available for the right candidate.<\/span>
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