Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United * Set up containers and Serverless platform with cloud infrastructure * You ...
Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United * Set up containers and Serverless platform with cloud infrastructure * You ...
Senior Machine Learning Engineer
Chicago, IL · On-site
$107K - $147K/yr
Hyatt seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that Hyatt guests, members, customers and internal users leverage to transform the guest ...
Senior Machine Learning Engineer
Chicago, IL · On-site
$107K - $147K/yr
Hyatt seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that Hyatt guests, members, customers and internal users leverage to transform the guest ...
As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to ...
As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to ...
As an AI & Machine Learning Engineer, you will design, build, and deploy intelligent systems for construction robots, focusing on machine learning models for computer vision, predictive analytics ...
As an AI & Machine Learning Engineer, you will design, build, and deploy intelligent systems for construction robots, focusing on machine learning models for computer vision, predictive analytics ...
Hardware Machine Learning Engineer
$127K - $167K/yr
We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect ...
Hardware Machine Learning Engineer
$127K - $167K/yr
We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect ...
Graduate Machine Learning Researcher - Chicago
Chicago, IL · On-site
$300K/yr
As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to ...
Graduate Machine Learning Researcher - Chicago
Chicago, IL · On-site
$300K/yr
As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to ...
Evaluate emerging machine learning technologies, platforms, frameworks, and tooling ecosystems for enterprise adoption. * Assess ML technologies and services including Azure Machine Learning, AWS ...
Evaluate emerging machine learning technologies, platforms, frameworks, and tooling ecosystems for enterprise adoption. * Assess ML technologies and services including Azure Machine Learning, AWS ...
Emerging Technology Solutions Architect - Machine Learning
Chicago, IL · On-site
$65 - $85.50/hr
Evaluate emerging machine learning technologies, platforms, frameworks, and tooling ecosystems for enterprise adoption. * Assess ML technologies and services including Azure Machine Learning, AWS ...
Emerging Technology Solutions Architect - Machine Learning
Chicago, IL · On-site
$65 - $85.50/hr
Evaluate emerging machine learning technologies, platforms, frameworks, and tooling ecosystems for enterprise adoption. * Assess ML technologies and services including Azure Machine Learning, AWS ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency, and reduce cost. As an example, we manage catalog data imported from hundreds of retailers, and we ...
Senior Lead Machine Learning Engineer
Chicago, IL · On-site +1
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Senior Lead Machine Learning Engineer
Chicago, IL · On-site +1
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Hardware Machine Learning Engineer
Chicago, IL · On-site
$200K - $225K/yr
We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect ...
Hardware Machine Learning Engineer
Chicago, IL · On-site
$200K - $225K/yr
We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect ...
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
Hardware Machine Learning Engineer
Chicago, IL · On-site
$200K - $225K/yr
We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect ...
Hardware Machine Learning Engineer
Chicago, IL · On-site
$200K - $225K/yr
We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect ...
About the Role We work on medium-term machine learning projects (1-6 months) with a high degree of autonomy. In order to further the Data Science Team strategic imperative of having a "Culture of ...
About the Role We work on medium-term machine learning projects (1-6 months) with a high degree of autonomy. In order to further the Data Science Team strategic imperative of having a "Culture of ...
About the Role • We work on medium-term machine learning projects (1-6 months) with a high degree of autonomy. In order to further the Data Science Team strategic imperative of having a "Culture of ...
About the Role • We work on medium-term machine learning projects (1-6 months) with a high degree of autonomy. In order to further the Data Science Team strategic imperative of having a "Culture of ...
About the Role We work on medium-term machine learning projects (1-6 months) with a high degree of autonomy. In order to further the Data Science Team strategic imperative of having a "Culture of ...
About the Role We work on medium-term machine learning projects (1-6 months) with a high degree of autonomy. In order to further the Data Science Team strategic imperative of having a "Culture of ...
Machine Learning / Data Science Engineer
Chicago, IL · On-site
$118K - $141K/yr
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning ...
Machine Learning / Data Science Engineer
Chicago, IL · On-site
$118K - $141K/yr
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning ...
Senior Software Engineer (Machine Learning)
$126K - $166K/yr
On the Valor Labs Team, we develop cutting edge machine learning models to derive proprietary investment insights and build software applications to augment the Firm's investment decision making ...
Senior Software Engineer (Machine Learning)
$126K - $166K/yr
On the Valor Labs Team, we develop cutting edge machine learning models to derive proprietary investment insights and build software applications to augment the Firm's investment decision making ...
Senior Software Engineer (Machine Learning)
Chicago, IL · On-site
$126K - $166K/yr
On the Valor Labs Team, we develop cutting edge machine learning models to derive proprietary investment insights and build software applications to augment the Firm's investment decision making ...
Senior Software Engineer (Machine Learning)
Chicago, IL · On-site
$126K - $166K/yr
On the Valor Labs Team, we develop cutting edge machine learning models to derive proprietary investment insights and build software applications to augment the Firm's investment decision making ...
Machine Learning information
See Evanston, IL salary details
$24.5K - $29.9K
5% of jobs
$31.7K is the 25th percentile. Wages below this are outliers.
$29.9K - $35.4K
59% of jobs
$35.4K - $40.8K
9% of jobs
$41.3K is the 75th percentile. Wages above this are outliers.
$40.8K - $46.3K
17% of jobs
$46.3K - $51.7K
4% of jobs
$51.7K - $57.2K
2% of jobs
$57.2K - $62.6K
3% of jobs
$62.6K - $68.1K
0% of jobs
$68.1K - $73.5K
0% of jobs
$73.5K - $79K
0% of jobs
$79K - $84.5K
0% of jobs
$24.5K
$40.9K
$84.5K
How much do machine learning jobs pay per year?
As of Sep 2, 2026, the average yearly pay for machine learning in Evanston, IL is $40,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,100.00 per year, depending on experience, location, and employer.
What is a machine learning?
A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.
What are the typical day-to-day responsibilities in a machine learning role?
As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.
What are the key skills and qualifications needed to thrive in a machine learning position?
To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.
Is machine learning a high paying job?
Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.
What jobs can I get with machine learning?
With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.
What are the most commonly searched types of Machine Learning jobs in Evanston, IL?
The most popular types of Machine Learning jobs in Evanston, IL are:
What are popular job titles related to Machine Learning jobs in Evanston, IL?
For Machine Learning jobs in Evanston, IL, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Evanston, IL look for?
The top searched job categories for Machine Learning jobs in Evanston, IL are:
What cities near Evanston, IL are hiring for Machine Learning jobs?
Cities near Evanston, IL with the most Machine Learning job openings:
Full-time
Re-posted 29 days ago
United Airlines rating
7.9
Based on 343 frontline employees who took The Breakroom Quiz
7th of 26 rated airlines
Job description
Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities
United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with ML engineers, data scientists and data engineers. This role will design, architect, implement and lead key components of the Machine Learning Platform, Gen AI/ML business use cases, and establish processes and best practices.
Qualifications
What's needed to succeed (Minimum Qualifications):
What will help you propel from the pack (Preferred Qualifications):
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities
United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with ML engineers, data scientists and data engineers. This role will design, architect, implement and lead key components of the Machine Learning Platform, Gen AI/ML business use cases, and establish processes and best practices.
- Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United
- Set up containers and Serverless platform with cloud infrastructure
- You will design and develop tools and apps to enable ML automation using AWS ecosystem
- Build data pipelines to enable ML models for batch and real-time data
- Hands on development expertise of Spark and Flink for both real time and batch applications
- Support large scale model training and serving pipelines in distributed and scalable environment
- Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies - NumPy, data science packages like sci-kit, microservices architecture
- Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them
- Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models
- Develop, optimize, fine-tune Generative AI/LLM models to improve performance and accuracy and deploy them
Qualifications
What's needed to succeed (Minimum Qualifications):
- Bachelor's degree in
Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required - 5+ years of software engineering experience with languages such as Python, Go, Java, or C/C++
- 5+ years of experience in machine learning, deep learning, and natural language processing
- Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++
- Strong technical leadership and familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines
- Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, CatBoost, Deep Learning, etc
- Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context
- Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS CodePipeline; preferably experience with GitOps using tools such as ArgoCD, Flux, or Jenkins X
- Experience with generative models such as GANs, VAEs, and autoregressive models
- Prompt engineering: Ability to design and craft prompts that evoke desired responses from LLMs
- LLM evaluation: Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity
- LLM debugging: Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies
- LLM deployment: Ability to deploy LLMs in production environments and ensure that they are reliable and secure
- Experience with LLMOps (Large Language Model Operations) or AgenticOps (Agentic Operations) to manage the end-to-end lifecycle of large language models
- Experience with generative ai methods such as retrieval augmented generation (RAG) and instruction fine tuning
- Must be legally authorized to work in the United States for any employer without sponsorship
- Successful completion of interview required to meet job qualification
- Reliable, punctual attendance is an essential function of the position
What will help you propel from the pack (Preferred Qualifications):
- Master's/PhD degree in
Computer Science or related STEM field - 5 + years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS
- 5 + years of experience with Big Data technologies such as Spark, Flink and SQL programming
- 5 + years of experience with cloud-native DevOps, CI/CD
- 3 - 5 + years of relevant enterprise Architecture experience
- 1+ years of experience with Generative AI/LLMs
What United Airlines employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About United Airlines
Sourced by ZipRecruiter
United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.
Industry
Aviation
Company size
10,000+ Employees
Headquarters location
Chicago, IL, US
Year founded
1926