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Ml Engineer Jobs (NOW HIRING)

United IT Solutions

Lead ML Engineer

Cincinnati, OH

$98K - $129K/yr

Lead ML Engineer Blue Ash, OH (Onsite) REQUIRED SKILLS * Languages: Python (required); SQL; optional Java/Scala * ML/MLOps: MLflow (or equivalent), model registry, monitoring, evaluation pipelines

Blue Prism Group

Principal ML Engineer

Waltham, MA

Principal ML Engineer Locations: Waltham, MA (Hybrid) About the Role We are looking for a Principal ML Engineer to design, build, and operationalize machine learning platforms and pipelines that ...

Purple Drive Technologies

ML Engineer

Newark, NJ · On-site

... engineering and operational excellence for running best-in-class ML platforms and continue to improve ML platforms to keep up with the latest innovations. • Design and implement architectural best ...

Torch Technologies

AI/ML Engineer

Huntsville, AL

AI/ML Engineer Torch Technologies is seeking a highly analytical and mathematically minded Artificial Intelligence/Machine Learning (AI/ML) Engineer to join our AI/ML team. The candidate will support ...

Diverse Lynx

AI/ML Engineer

Los Angeles, CA

Job Role: AI/ML Engineer Job Location: Mason, OH /Woodland Hills, CA Job Type: Full Time (Day 1 Onsite) Salary Range: $95000 to $135000/Annum + Full Time Benefits Must Have Technical/Functional ...

Kasmo Global

AI-ML Engineer

Battleboro, NC

AI-ML Engineer With Cloud Platforms Location: Richmond VA Duration: Long term Qualifications: Experience in AI/ML engineering or data science with production deployments. Expert-level proficiency in ...

Prime Team Partners

ML Engineer

Seattle, WA

$190/hr

If you enjoy working at the intersection of ML, systems, and performance engineering - and want to shape core infrastructure from the ground up - this role offers real impact. If you want to work on ...

SS&C Technologies

Principal ML Engineer

Waltham, MA · On-site

Principal ML Engineer Locations: Waltham, MA (Hybrid) About the Role We are looking for a Principal ML Engineer to design, build, and operationalize machine learning platforms and pipelines that ...

Tata Consultancy Services

AI/ML Engineer

Charlotte, NC · On-site

$85K - $90K/yr

AI/ML engineering, LLM experience, MLflow, Azure ML Secondary: SageMaker, Kubeflow, NLP, Agile tools Experience: 5+ Roles & Responsibilities Position Summary The AI Agent & Data/ML Engineer will ...

VXForward

AI/ML Enginer

Washington, DC · Remote

Establish and maintain AI/ML engineering standards, best practices, and quality assurance processes * Conduct code reviews, provide constructive feedback, and mentor engineers on modern AI/ML ...

VXForward

AI/ML Enginer

Washington, DC · Remote

Establish and maintain AI/ML engineering standards, best practices, and quality assurance processes * Conduct code reviews, provide constructive feedback, and mentor engineers on modern AI/ML ...

Group1001

Staff ML Engineer

Zionsville, IN · On-site

As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production-ready: model serving, feature pipelines, experiment tracking, and CI/CD for ML. You'll help shape ...

Simarn Solutions

AI/ML Engineer

Minneapolis, MN · On-site +1

$65/hr

About the job AI/ML Engineer AI/ML Engineer Location: Minneapolis, MN Job Type (C2C): C2C Job Mode: Remote Pay Rate: $65/hr Industry: Information Technology / AI & CRM Integration End Date: 01-Dec ...

VXForward

AI/ML Engineer

Washington, DC · Remote

Establish and maintain AI/ML engineering standards, best practices, and quality assurance processes * Conduct code reviews, provide constructive feedback, and mentor engineers on modern AI/ML ...

United IT

Lead ML Engineer

Cincinnati, OH

$98K - $129K/yr

Lead ML Engineer Blue Ash, OH (Onsite) Required Skills * Languages: Python (required); SQL; optional Java/Scala * ML/MLOps: MLflow (or equivalent), model registry, monitoring, evaluation pipelines

Group1001

Staff ML Engineer

Zionsville, IN

As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production-ready: model serving, feature pipelines, experiment tracking, and CI/CD for ML. You'll help shape ...

Agile Defense

ML Engineer

Omaha, NE · On-site

They are seeking an ML Engineer to support their contract with the DRAID CDAO ADA IR Program, focusing on securing scalable data architectures and AI/ML pipelines to unlock the value of data for ...

RIT Solutions, Inc.

AI/ML Engineer

Malvern, PA · Hybrid

$102K - $140K/yr

I/ML Engineer HYBRID MALVERN P Senior AI/ML Engineer (Mathematics & Optimization) We are looking for a Senior AI/ML Engineer who thrives at the intersection of complex mathematics and scalable cloud ...

SS&C

Principal ML Engineer

Waltham, MA · Hybrid

Principal ML Engineer Locations: Waltham, MA (Hybrid) About the Role We are looking for a Principal ML Engineer to design, build, and operationalize machine learning platforms and pipelines that ...

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All JobsMl Engineer Jobs

Ml Engineer information

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$33K

$89.2K

$142K

How much do ml engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for ml engineer in the United States is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $109,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and in high-demand industries like technology and finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What does an ML engineer do?

An ML engineer designs, develops, and deploys machine learning models and algorithms to solve specific problems. They work with data preprocessing, model training, evaluation, and optimization, often using tools like Python, TensorFlow, or PyTorch. Their role involves integrating models into production systems and ensuring their performance and scalability.

What are the key skills and qualifications needed to thrive as an ML Engineer, and why are they important?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as Lead AI Engineer or AI Director, which involve overseeing large-scale AI projects, developing advanced machine learning models, and managing teams. These positions often require extensive experience, expertise in deep learning frameworks, and may include stock options or bonuses as part of compensation.

What are ML Engineers?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

What are some common challenges Machine Learning Engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

Are ML engineers still in demand?

Yes, ML engineers are currently in high demand due to the growth of artificial intelligence and data-driven applications. They are often required to have skills in programming, machine learning frameworks, and data analysis, with many opportunities across industries such as tech, finance, and healthcare.
More about Ml Engineer jobs
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What states have the most Ml Engineer jobs? States with the most job openings for Ml Engineer jobs include:
What job categories do people searching Ml Engineer jobs look for? The top searched job categories for Ml Engineer jobs are:
Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $89,183 per year, or $42.9 per hour.

Lead ML Engineer

United IT Solutions

Cincinnati, OH

$98K - $129K/yr

Other

Posted 4 days ago

Job description

Lead ML Engineer
Blue Ash, OH (Onsite)
REQUIRED SKILLS
  • Languages: Python (required); SQL; optional Java/Scala
  • ML/MLOps: MLflow (or equivalent), model registry, monitoring, evaluation pipelines
  • Data: Spark, DataFrames, data modeling fundamentals, feature engineering
  • DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional)
  • Cloud: Azure, logging/monitoring
  • Experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML pipelines.
GOOD TO HAVE
  • Understanding of Data Science models
  • Exposure to Deep Learning frameworks such as TensorFlow or PyTorch
  • Solid understanding of feature engineering, model evaluation, and experimentation.
PREFERRED TRAITS
  • Strong communication and storytelling skills with data
  • Ability to work in a collaborative and fast-paced environment
  • Passion for solving complex business problems using data
Roles & Responsibilities
ML Engineering & Delivery
  • Lead the design and implementation of production ML pipelines for training, batch inference, and real-time/near-real-time scoring.
  • Translate Data Science prototypes into robust, maintainable services and workflows with strong testing, observability, and reliability.
  • Build and manage feature engineering workflows, feature stores (where applicable), and reusable ML components.
  • Drive model packaging and deployment patterns (containers, serverless, managed endpoints) and optimize for performance and cost.
MLOps
  • Implement CI/CD for ML (model versioning, automated testing, promotion gates, rollback strategies) using Azure DevOps / GitHub Actions integrated with Databricks
  • Leverage MLflow (Databricks native) for experiment tracking, model registry, and lifecycle management
  • Establish best practices for model monitoring: data drift, concept drift, model degradation, and alerting.
  • Define and enforce guardrails for responsible AI: bias checks, explainability, privacy controls, and auditability.
Data & Platform Collaboration
  • Partner with Data Engineering on data quality, lineage, and availability to ensure reliable model inputs.
  • Work with Cloud/Platform teams to ensure scalable infrastructure (compute, networking, IAM, secrets, logging).
  • Influence target architecture and technology decisions for the ML platform roadmap.
Leadership & Mentoring
  • Provide technical leadership and mentorship to ML Engineers and junior team members.
Conduct design reviews, code reviews, and establish engineering standards.
  • Coordinate delivery plans, estimate work, and manage technical risks and dependencies.

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