383 Machine Learning Engineer jobs in Chicago

We are seeking a talented Machine Learning Engineer to join our team and focus on building advanced fraud prediction models. This role involves developing core decision models for various aspects of fraud prevention, including identity, onboarding, authentication, abuse, scam and product-specific models. The ideal candidate will leverage anomaly detection, supervised learning, and experiential learning techniques to create robust and effective fraud prevention solutions.

• Entry-Level Software Programmers (Java/Python)
• Java Full Stack Developers
• Data Analysts & BI Engineers
• Data Scientists & ML Engineers

• Recent grads in CS, Engineering, Math, or Statistics
• Professionals seeking a career switch to tech
• Candidates with career gaps or lacking real-world experience
• Individuals looking to boost their skill portfolio for better job prospects

We are the AI Engineering team at WEX. We enable our product development teams to move quickly and deploy AI functionality into their applications in a scalable manner. We are cloud-first and aim to automate everything, including infrastructure, testing, and deployment. If you're interested in ChatGPT, Large Language Models, MLOps, DevOps, and thirst for working with new tools and technologies, then this is the place to be!

• A highly motivated engineer who loves working on small, highly performing teams

• Collaborative, a solid communicator, and work well with your team and stakeholders.

• A professional who can advocate strongly for positions and still be 100% behind team decisions even if they don't go your way.

• Are comfortable balancing the need to move fast with the realities of working in highly regulated spaces like payments and healthcare.

• Design, implement, train and maintain machine learning algorithms and ML system pipelines.

• Work closely with our AI platform team and line of business engineering teams to integrate AI components and models into WEX systems.

• Collaborate with the team to manage version control using GitHub and implement robust CI/CD pipelines for continuous integration and delivery.

• Design and implement RESTful APIs to facilitate communication between various components and ensure smooth operation of our applications.

• Collaborate effectively with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders.

Experience you'll bring

• Minimum 7 years of application development experience.

• Minimum 4 years of experience building, training and deploying machine learning models.

• Strong ability to use key Python libraries such as Pandas, Numpy and deep learning libraries like PyTorch or Tensorflow.

• Bachelor's Degree in Computer Science, Engineering, or related field.

• Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform.

• Experience applying DevOps principles to software development processes.

• Proficiency in version control systems, particularly GitHub.

• Excellent problem-solving skills and a proactive approach to addressing challenges.

• Experience in the financial industry is a plus.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.

Working at Abbott    

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to:   

• Career development with an international company where you can grow the career you dream of.   

• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.   

• An excellent retirement savings plan with high employer contribution Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree.   

• A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.   

• A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.  
    

For years, Abbott's medical device businesses have offered technologies that are faster, more effective, and less invasive. Whether it's glucose monitoring system, innovative therapies for treating heart disease, or products that help people with chronic pain or movement disorders, our medical device technologies are designed to help people live their lives better and healthier. Every day, our technologies help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine ngersticks.   

What You'll Do 

The Principal ML Engineer will work from our Chicago, Willis Tower office within the Medical Devices Digital Solutions organization. In this role, you will lead the technical execution of Abbott's Medical Devices Digital (MDD) AI initiatives, bridging advanced algorithm research with scalable engineering solutions. You will be vital in developing and maintaining a robust AI development framework, establishing production-grade MLOps capabilities, and collaborating closely with data scientists, infrastructure specialists, and algorithm teams to ensure effective AI solution deployments. 

Main Responsibilities 

• Lead end-to-end ML solutions development and delivery, including data ingestion, feature engineering, training, validation, deployment, and monitoring. 

• Architect a highly available, secure, scalable cloud/on-prem hybrid ML infrastructure. 

• Engage directly with ML scientists, contribute to algorithm development, and act as the team's bridge/glue between science and engineering. 

•  Partner closely with algorithm scientists, translating innovative concepts into reliable, production-ready software. 

• Implement robust CI/CD workflows for ML models, including testing, rollout, rollback strategies, and compliance governance. 

• Ensure strict compliance with regulatory and privacy standards such as HIPAA, GDPR, and Software as a Medical Device (SaMD) guidelines. 

• Evaluate and pilot emerging technologies, including large language models, multimodal machine learning techniques, and advanced hardware accelerators. 

• Mentor and guide ML engineers and data scientists, establish coding standards, and conduct detailed design and architectural reviews. 

Required Qualifications 

• Bachelors Degree (± 16 years) in Computer Science, Engineering Mathematics, or related field  

• Minimum 10 years with 10+ years of experience, Master's Degree with 7+ years of related experience, or Ph.D. with 2+ years of related experience 

• Experience in building and deploying Machine Learning solutions using various ML algorithms and hands-on experience with Python programming 

• Experience in building IT use cases / solutions especially around AI/ML cognitive services and platforms, Model productionization, and CICD Automation. 

• Excellent understanding of Machine Learning techniques and proficiency in feature analysis, algorithm selection and model hyperparameter tuning 

• Experience of senior executive/leadership engagement 

• Exposure to various aspects of architecture practices and frameworks: business, application, data, security, infrastructure and governance 

• Experience with NLP/NLG, AI Conversational Agents & Other Generative AI, and Software development lifecycles 

• Experience with Azure OpenAI, Azure Databricks, CloudDBs, 

• Experience in reviewing and selecting Technical and Applications Architectures solutions 

• Certifications and specializations in AI/ML, LLMs and Cloud platforms 

• Excellent oral, written and presentation communication skills 

• Preferred team leadership experience and demonstrated mentorship capabilities 

Preferred Qualifications 

• PhD in Computer Science, Data Science, Data Engineering, or related field  

• Medical Device experience 

• Experience working in an FDA-regulated business (e.g. validated software related to medical, pharmaceutical, or life sciences products) is preferred. 

• Solid understanding of the design thinking process, as well as a passion and know-how for influencing design strategy. 

• Experience with microservices architecture and distributed systems. 

• Publications, patents, or notable contributions to open-source projects. 

• Experience with FDA 510(k) submissions and clinical-grade ML product development. 

• Background in signal processing, computer vision, or multimodal learning. 

•  Familiarity with data security best practices, data anonymization, synthetic data generation, and federated learning. 

The base pay for this position is $111,300.00 - $222,700.00. In specific locations, the pay range may vary from the range posted.

• Help solve fundamental problems in machine learning, natural language understanding and human computer interaction with applicability to practical commercial use cases.
• Help with experimentation and model development, and design new features as well as improve existing ones in our system.
• Partner with the AI Engineering team to transition mature technology to our production environment.

• Master's degree or higher in Computer Science, Data Science or related technical field, and 3+ years of relevant industrial / academic work experience (or equivalent)
• Demonstrated ability to drive the development side of R&D efforts
• Experience building/refining/innovating deep learning models for Natural Language Processing, Computer Vision, or Speech Recognition
• Experience with one or more of deep learning toolkits (PyTorch/HF preferred)
• Strong foundation in Computer Science with high competency in data structures, algorithms, and software design (expertise in one or more of: Python, C++, or Java)
• Experience building and improving LLM applications for processing semi-structured and structured data such as NL2SQL and graph-RAG
• Experience with practical applications in NLP, esp. with transformers/LLMs a plus
• Publications in top-tier conferences (NeurIPS, ICLR, ACL, EMNLP, CVPR etc.) a plus
• Experience working in cloud-based development environments such as AWS, Azure, or Google
• Experience with micro-service creation
• Strong problem solving skills, with a hands on, get-it-done attitude
• Team player with ability to work in a close-knit, fast-paced startup environment
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Sr Data Engineer - GE07BE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford's Personal Lines Data Analytics team seeks energetic and passionate Senior Machine Learning Engineer to help build and scale our next-generation Machine Learning Operations (MLOps) & Generative AI (GenAI) platforms. This role blends software engineering, DevOps, and machine learning expertise to deliver robust, scalable, and secure AI/ML solutions. You will be instrumental in enabling our data science teams to deploy models efficiently and responsibly in production environments.

We are looking for talent who embraces our core values:

• We build artificial intelligence/machine learning solutions, not models. We support end-to-end business problems with a focus on systems design.

• We are trusted and transparent, collaborating closely with our partners and considering their capacity for change.

• Our products are delivered with full monitoring solutions to ensure they continue to perform as expected.

• We listen carefully to our customers and become partners in problem-solving with humble confidence.

• We deliver minimally viable products first and expand their sophistication over time based on feedback.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

RESPONSIBILITIES

• Research, experiment with, and implement suitable frameworks, tools, and technologies to enable AI/ML decision-making at scale.

• Participate in identifying and assessing opportunities, such as the value of new data sources and analytical techniques, to ensure ongoing competitive advantage.

• Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.

• Accountable for the ownership of design, development, and maintenance of MLOps and GenAI platforms and services.

• Work with junior engineers and peers to provide mentorship and thought leadership.

• Collaborate with partners Enterprise Data, Data Science, Business, Cloud Enablement Team, and Enterprise Architecture teams.

• Delivery of critical milestones for model deployment in the Google Cloud Platform (GCP) and AWS cloud.

• Develop, adopt, and promote MLOps best practices to the Data Science community.

• Implement infrastructure-as-code using Terraform or CloudFormation to automate deployments .

• Contribute to the development of agentic AI capabilities and support experimentation with LLMs and GenAI frameworks.

Requirements:

• Must be authorized to work in the U.S. now and in the future.

• Bachelor's degree in related field and 5+ years of experience.

• Solid understanding of ML lifecycle: model training, deployment, monitoring, and feedback loops.

• Strong application development experience using Python.

• 3+ years of hands-on experience developing with one of the public clouds including t ools and techniques to auto scale systems.

• Experience with CI/CD and IAC tools (e.g., terraform, Jenkins, GitHub Actions) and containerization (Docker, Kubernetes).

• Good understanding of Generative AI technologies, frameworks, key LLMs, and architecture patterns.

• Exposure to agentic AI architectures and prompt engineering.

• Good understanding and experience building orchestration framework for real-time and batch model services.

• Good understanding of various model development algorithms and types of ML use cases e.g., regression, classification, etc.

• Strong fundamental knowledge of data structures and algorithms

Preferred Skills:

• Development experience for WebService API with AWS suite of Tools.

• Familiarity with big data technologies (i.e., Hadoop, Spark, Hive, etc.) and RDBMS.

• Hands-on experience with public cloud GCP, especially Vertex AI, Cloud Run, BigQuery, and GKE.

• Basic understanding of ML frameworks i.e., Tensorflow, Scikit Learn, etc.

• Experience with Agile framework and scrum/Kanban based project management.

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Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$117,200 - $175,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits (

Every day, a day to do right.

Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.

Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?

That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.

And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.

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At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

We are seeking a Machine Learning Engineer to design and implement robust Machine Learning applications that drive innovation and business insights. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into our products and services, ensuring high performance and scalability. Strong Python programming skills is essential, must have prior experience working on GCP and Vertex AI, as well as working with BigQuery and NoSQL databases like MongoDB.

Required Qualifications

• Proven experience as a Machine Learning Engineer (3+ years) performing: Experience in software engineering with exposure to data models and GenAI applications; Hands-on experience with model evaluation, performance tracking, and automation; Familiarity with GenAI frameworks (LangChain, Hugging Face, etc.) and vector databases for RAG; and Understanding of machine learning fundamentals to integrate and monitor models effectively.

• Proficiency in Python programming language 

• Experience with RDBMS & NoSQL databases (e.g., MongoDB, BigQuery)

• Experience with data preprocessing, feature engineering, and model evaluation

• Experience with cloud platforms (Google Cloud, Azure)

• Understanding of machine learning concepts and workflows

Preferred Qualifications

• Experience/knowledge of agentic workflows

• Familiarity with Vertex AI & Azure OpenAI

• Experience working with LLMs and RAGs

• Knowledge of natural language processing (NLP)

• Familiarity with big data technologies (Apache Spark, Ray, Dark)

• Experience with streaming data technologies (e.g., Apache Kafka, PubSub)

• Familiarity with version control systems (e.g., Git)

• Strong problem-solving skills and attention to detail

• Ability to work collaboratively in a team environment

Education

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field

• Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are a plus

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$92,700.00 - $222,480.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan .

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit

We anticipate the application window for this opening will close on: 11/04/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

• Design company-wide personalization architecture and strategy
• Solve complex technical challenges (cold start, exploration/exploitation, real-time learning)
• Research and implement state-of-the-art ML techniques
• Define standards and patterns used across all ML teams
• Lead cross-functional initiatives spanning multiple quarters
• Mentor senior engineers and review critical technical decisions
• Represent the company in the external ML community

• 10+ years building ML systems, with deep personalization expertise
• Recognized expert in ML systems (publications, patents, or industry impact)
• Experience architecting ML platforms serving billions of predictions
• Track record of 0→1 innovation in personalization systems
• Expertise in multiple approaches (deep learning, bandits, causal ML, graph methods)
• Ability to influence without authority and drive consensus
• Exceptional communication skills for technical and executive audiences

• Advanced ML architectures at scale
• Real-time ML systems and edge deployment
• Multi-stakeholder marketplace optimization
• Online learning and adaptive systems
• Privacy-preserving personalization

Sr. Machine Learning Engineer

Contract

100% Remote

Position Overview:

This role is for a contract Machine Learning Engineer responsible for delivering MLOps pipelines for production models leveraging both AWS and Databricks.

Responsibilities:

Work collaboratively with Software Engineering, Data Engineering, and Machine Learning to deliver scalable and reliable MLOps pipelines into productio n.

Required Qualifications:

• Python expertise
• Proficiency in SQL
• Proficiency in Databricks
• Experience with CI/CD
• 3+ years of experience building and scaling ML pipelines on either AWS, GCP, or Azure
• 2+ years of experience building production ML pipelines on the Databricks platform - focus on MLOps
• Bachelor's degree in a quantitative discipline