CrawlJobs Logo

Machine Learning Operations Engineer

tpsmithgroup.com Logo

Tucker Parker Smith Group

Location Icon

Location:
United States , Los Angeles

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

152000.00 - 175000.00 USD / Year
Save Job
Save Icon
Apply Position

Job Description:

A leading private university in Los Angeles is seeking a highly skilled Machine Learning Operations (MLOps) Engineer to support enterprise-wide artificial intelligence initiatives within its medical enterprise. Under the direction of Information Services leadership, this role is responsible for the full lifecycle management of machine learning models, including design, development, deployment, monitoring, and optimization in production environments. The MLOps Engineer will collaborate closely with data scientists, data engineers, DevOps teams, and clinical operations stakeholders to deliver scalable, secure, and reliable AI solutions. These solutions will enhance patient care, improve operational efficiency, and advance clinical research. The ideal candidate brings strong DevOps expertise, healthcare domain knowledge, and hands-on experience deploying production-grade machine learning and GenAI systems.

Job Responsibility:

  • Design, deploy, and maintain production-ready machine learning models with a focus on scalability, reliability, and real-time inference
  • Build and maintain end-to-end MLOps pipelines for model training, versioning, deployment, monitoring, and lifecycle management
  • Develop scalable machine learning infrastructure using on-premise or cloud platforms such as AWS, GCP, or Azure
  • Implement CI/CD pipelines to automate testing, validation, and deployment of machine learning models
  • Collaborate with data scientists, data engineers, analytics teams, and DevOps teams to operationalize ML and GenAI solutions
  • Engineer and optimize workflows for predictive modeling, large language models (LLMs), NLP, and retrieval-augmented generation (RAG) frameworks
  • Implement monitoring and logging solutions to track model performance, system health, and anomalies
  • Ensure AI systems meet security, compliance, and data privacy standards applicable to healthcare environments
  • Maintain clear, comprehensive technical documentation for ML models, pipelines, and operational processes

Requirements:

  • Bachelor's degree in Computer Science, Artificial Intelligence, Informatics, Engineering, or a related field
  • 3 years of experience in machine learning engineering or MLOps roles
  • Proven experience managing the end-to-end machine learning lifecycle in production environments
  • Strong experience with containerization and orchestration technologies such as Docker and Kubernetes
  • Hands-on experience with infrastructure automation tools, including Terraform
  • Proficiency with CI/CD tools such as GitHub Actions
  • Advanced programming skills in Python, with working knowledge of R and SQL
  • Deep understanding of software architecture, deployment processes, and performance optimization
  • Extensive experience in predictive modeling, LLMs, and NLP
  • Ability to clearly articulate the benefits and applications of RAG frameworks with LLMs

Nice to have:

  • Master's degree in Computer Science, Engineering, or a closely related field
  • Experience working with healthcare data and machine learning use cases
  • Familiarity with Electronic Health Record (EHR) systems and integrating ML models with clinical systems
  • Strong understanding of healthcare regulations, data security, and privacy standards

Additional Information:

Job Posted:
January 05, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Icon
Tucker Parker Smith Group - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Machine Learning Operations Engineer

Senior Machine Learning Engineer

As a Senior Machine Learning engineer, you will work on the development and impl...
Location
Location
United States , Mountain View
Salary
Salary:
175560.00 - 235000.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
  • 4+ years of related industry experience in the data science domain
  • Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • work on the development and implementation of the cutting edge machine learning algorithms
  • training sophisticated models
  • collaborating with product, engineering, and analytics teams
  • build the AI functionalities into each Atlassian products and services
  • designing system and model architectures
  • conducting rigorous experimentation and model evaluations
  • providing guidance to junior ML engineers
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineering Manager

Atlassian is looking for a Senior Machine Learning Engineering Manager to join o...
Location
Location
United States , Seattle; Austin; New York; Washington DC
Salary
Salary:
190300.00 - 305600.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
  • 5+ years of experience managing machine learning engineering teams running core services at scale
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring
  • Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models
  • Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
  • Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
  • Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineering Manager

The GenAI foundation and quality team works cross-functionally, providing genera...
Location
Location
Australia , Sydney
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
  • 5+ years of experience managing machine learning engineering teams running core services at scale
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring
  • Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models
  • Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
  • Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
  • Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders
What we offer
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
  • Wide range of perks and benefits to support family and personal goals
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineering Manager

The GenAI foundation and quality team sits within the Search and AI Conversation...
Location
Location
United States , Seattle; Mountain View
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master or PhD in a quantitative subject (Computer Science, Mathematics, Statistics, Operations Research, or relevant work experience)
  • 5+ years of experience managing machine learning engineering teams running core services at scale
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of 'having something now' vs 'perfection sometime in the future'
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring
  • Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our Recommendation system, and other AI/ML models
  • Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation
  • Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
  • Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders
What we offer
What we offer
  • Health and wellbeing resources
  • paid volunteer days
  • various perks and benefits to support you, your family, and engage with your local community
Read More
Arrow Right

Senior Machine Learning Engineer

As a Senior Machine Learning Engineer in the Central AI team, you will build and...
Location
Location
Australia , Sydney
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
  • 3+ years of related industry experience in the data science domain
  • Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Experience building and scaling machine learning models in business applications using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Focus on business practicality and the 80/20 rule
  • very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Build and maintain the core infrastructure to allow machine learning engineers and data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines
  • Use software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges
  • Design system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers
  • Lead other engineers to drive involved projects from technical design to launch
  • Collaborate with other teams and internal customers to set expectations, gather input and communicate results
What we offer
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
  • Fulltime
Read More
Arrow Right

Principal Machine Learning Engineer

As a Principal Engineer on the ITSM team, you will get the opportunity to work o...
Location
Location
Australia , Sydney
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of total experience
  • Fluency in at least 1 scripting, OOP language
  • Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP
  • Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas
  • Good Understanding of Machine Learning project lifecycle
  • Familiarity with MLOps and experience with scaling and deploying Machine Learning models
Job Responsibility
Job Responsibility
  • Work on cutting-edge AI and ML algorithms that help modernize IT Operations by reducing MTTR (mean time to resolve), and MTTI (Mean time to identify)
  • Use software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges
  • Lead engineers to drive involved projects from technical design to launch
  • Collaborate with other teams and internal customers to set expectations, gather input, and communicate results
  • Work with a distributed, world-class team shaping the future of AIOps
  • Master Generative AI
  • Become a machine learning maestro
  • Collaborate with diverse minds
  • Make a tangible impact
  • Routinely tackle complex architectural challenges
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Fulltime
Read More
Arrow Right

Machine Learning Engineer

The Machine Learning Engineer is a practitioner and advocate of state-of-the-art...
Location
Location
Portugal , Oporto; Lisbon; Funchal; Ponta delgada
Salary
Salary:
Not provided
https://www.tui.com Logo
TUI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in designing, implementing, deploying and using various AI models and algorithms
  • Experience in deploying AI solutions (e.g. CI/CD pipeline, API development, containers)
  • Strong programming skills in Python
  • Understanding of machine learning/AI frameworks and libraries
  • Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud)
  • Experience with SQL and/or Snowflake
  • Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph)
  • Proficiency in data preprocessing and feature and/or prompt engineering
  • Customer-focused engineer with a passion for crafting high-quality digital products, continuous improvement, and effective team collaboration
  • Strong problem-solving and communication skills, with an understanding of the social, legal, and ethical impact of AI technologies
Job Responsibility
Job Responsibility
  • Deliver solutions that challenge the status quo, taking full responsibility for your AI solutions from design to operation
  • Collaborate with your team to enable AI engineering skills and capabilities across TUI Group
  • Research, evaluate, and test new approaches, processes, and tools
  • Participate in Communities of Practice and collaborate on shared initiatives
  • Build and maintain self-build segmentation models
  • Lay the foundation for data science driven decision making and personalised offers
  • Deliver innovative and inspiring customer experiences in TUIs digital channels
What we offer
What we offer
  • Attractive remuneration
  • Bonus opportunity
  • Exclusive travel perks & discounts
  • Extensive health & wellbeing support
  • Flexible working models
  • Opportunities to upskill, reskill and grow your career
  • Access to TUI Tech Learning Hub
  • Participation in tech communities and collaboration on global projects and teams
  • Involvement with local charity and sustainability initiatives
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

As Babylist’s Senior Machine Learning Engineer, you’ll be the founding expert dr...
Location
Location
United States; Canada
Salary
Salary:
189900.00 - 237400.00 USD / Year
babylist.com Logo
Babylist
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience delivering end to end solutions that drive business growth
  • Deep expertise in the Python ML ecosystem (pandas, sklearn, xgboost, PyTorch)
  • Strong expertise creating custom embeddings from raw data sources
  • Experience going beyond off-the-shelf image/text embeddings to develop domain-specific representations for ML models
  • Proven track record building and delivering production-grade ML solutions, especially recommender systems or personalization features
  • Experience with the entire ML lifecycle, including workflow orchestration (Airflow) and model monitoring
  • Strong communication skills with technical and non-technical stakeholders
  • Background in consumer-facing products preferred
  • Expertise with e-commerce, dating apps, or complex user journey platforms is highly relevant
  • Demonstrate autonomy: able to define problem space, architect solutions from scratch (zero to one), and operate with ownership
Job Responsibility
Job Responsibility
  • Pioneer ML at Babylist: shape the roadmap, practices, and culture for machine learning and personalization at scale
  • Own high-impact work end-to-end: build and launch high-leverage personalization features from the ground up
  • Lead both technically and strategically: be the technical pioneer and strategic leader for ML at Babylist
  • Collaborate across a strong data organization: partner with data scientists, data engineers, and analytics engineers
What we offer
What we offer
  • Competitive salary with equity and bonus opportunities
  • Company-paid medical, dental, and vision insurance
  • Retirement savings plan with company matching and flexible spending accounts
  • Generous paid parental leave and PTO
  • Remote work stipend to set up your office
  • Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy