Software Engineer – MLOps

Job title: Software Engineer – MLOps

Company: Carfax

Job description: Isn’t it time you bragged about where you work? At CARFAX, we do, every day. We pride ourselves on being mission-focused on helping to grow a brand built on accuracy and integrity. We care deeply about our products and our customers. We’re more than just a company: We help millions of consumers make more-informed decisions every day. We know that our teammates are our most valuable asset, and we value a balanced life while tackling challenging projects in a fast-paced environment. One last thing: Our four-day week continues in Summer 2025!At CARFAX, we believe in the power of teamwork and value in-person interactions so that we can collaborate and thrive together. This position will require 2 days in the London, ON office per week, subject to change with future business needs.As a Software Engineer – MLOps, you will be a part of the CARFAX Data & AI / ML team. You will be working collaboratively with ML Engineers and Data Scientists to build and scale machine learning solutions, platforms, and pipelines to support machine learning initiatives at CARFAX. Leveraging the latest techniques and tools, this unique opportunity will aim to unlock the hidden potential in billions of records and enrich the quality of data provided by our automotive reporting products delivered daily to consumers across the globe.Note: This role will not be involved in building, developing any machine learning models.What you’ll be doing:

• Work in a team environment using Agile practices
• Utilize Test Driven Development, Paired Programming and Continuous Integration
• Innovate new ideas to evolve our applications and processes
• Participate in the design and development of our machine learning end-to-end solutions
• Develop high performing data streams and APIs to guarantee fast and accurate delivery

What we’re looking for:

• Bachelor’s degree or diploma in Computer Science, Computer Engineering (or related fields of study)
• Experience building algorithms using Python
• Software engineering skills: version control, build pipelines, object-oriented programming, coding standards, code reviews, and testing
• Experience with containerization & microservices (e.g. Docker) for ML model deployment
• Experience with AWS (e.g. EC2, VPCs, Lambda, API Gateway, etc.)
• CI/CD pipeline automation experience with Jenkins, GitLab, or AWS Code Build
• Experience with Test Driven Development (TDD)

Preferred Experience:

• Experience designing and building machine learning solutions to solve business problems (e.g. end-to-end architecture, design alternatives and trade-offs, third-party products integrations, etc.)
• Any experience with MLOps platforms, eg. Containerization.
• DevOps expertise with tools such as Kubernetes, Artifactory, AWS CloudFormation, AWS CDK
• Relational and NoSQL database systems experience
• Shell scripting experience
• Experience with parallel processing on GPU machines (e.g. multiprocessing, distributed ML training, etc.)

Nice-to-have:

• Experience building and releasing SDKs
• Experience with ML frameworks (e.g. Tensorflow, Torch)
• Orchestration experience (tools like Tecton, Airflow, MLFlow, Luigi, Apache Beam, Kubeflow, etc.)
• Solid grasp of machine learning fundamentals (classification and regression models, model monitoring and validation)

What’s in it for you:

• Competitive Compensation: Attractive salary, comprehensive benefits, and generous time-off policies.
• Flexible Work Schedules: Enjoy 4-day summer work weeks and a winter holiday break.
• Retirement Support: 401(k) / DCPP matching.
• Performance Rewards: Annual bonus program to recognize your contributions.
• Innovative Workspace: Casual, dog-friendly offices designed for creativity and collaboration.

Hear from our Team: Our accolades speak for themselves:

• 10X Virginia Business Best Places to Work
• 9X Washingtonian Great Places to Work
• 9X Washington Post Top Workplace
• St. Louis Post-Dispatch Best Places to Work

About CARFAX, part of S&P Global Mobility, helps millions of people every day confidently shop, buy, service and sell used cars with innovative solutions powered by CARFAX vehicle history information. The expert in vehicle history since 1984, CARFAX provides exclusive services like CARFAX Used Car Listings, CARFAX Car Care, CARFAX History-Based Value and the flagship CARFAX® Vehicle History Report to consumers and the automotive industry. CARFAX owns the world’s largest vehicle history database and is nationally recognized as a top workplace by The Washington Post and Glassdoor.com. Shop, Buy, Service, Sell – Show me the CARFAX. S&P Global Mobility is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets.US Equal Opportunity Employer Statement: CARFAX is an Affirmative Action/Equal Opportunity Employer. It is the policy of CARFAX to provide equal employment opportunity to all persons regardless of race, color, sex, pregnancy, religion, national origin, age, ancestry, citizenship status, veteran status, military status, disability or handicap, sexual orientation, genetic information or any other status protected by federal, state or local law. In addition, CARFAX will provide reasonable accommodations for qualified individuals with disabilities. We maintain a drug-free workplace. We are a participant in E-Verify.Canadian Equal Opportunity Employer Statement: CARFAX Canada is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.We’re committed to providing accommodations by request for candidates taking part in all aspects of the recruitment and selection process. For a confidential inquiry or to request an accommodation, please contact your recruiter or email .

Expected salary:

Location: London, ON

Job date: Wed, 28 May 2025 06:52:44 GMT

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