CrawlJobs Logo

Machine Learning Ops Engineer

https://www.tui.com Logo

TUI

Location Icon

Location:
Portugal , Oporto ▼

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

The Customer AI & Rapid Prototyping department stands at the forefront of digital transformation at TUI, driving company-wide AI adoption. Our team develops innovative AI solutions and personalized customer experiences that create measurable business value and give TUI a competitive edge in the travel industry. We combine data science, AI prototyping, and strategic implementation to deliver both rapid innovation and sustainable personalization solutions. In our dynamic work environment, we foster a culture of experimentation and data-driven decision-making, while working closely with various business units to shape the future of personalized travel experiences.

Job Responsibility:

  • Develop, implement, and maintain machine learning models and algorithms
  • Work closely with cross-functional teams to integrate ML solutions into production systems
  • Monitor and optimize the performance of deployed AI models
  • Collaborate with engineering colleagues on AI-related tasks to deliver impactful, data-driven solutions
  • Research, evaluate, and test new approaches, processes, and tools

Requirements:

  • Experience in productionising and using various AI models and algorithms
  • Experience in deploying AI solutions using CI/CD pipelines, API development and 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 monitoring and log collection systems (e.g. DataDog)
  • Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph)
  • 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
What we offer:
  • Attractive remuneration
  • bonus opportunity
  • exclusive travel perks & discounts
  • extensive health & wellbeing support
  • Flexible working
  • hybrid or remote working models
  • Opportunities to upskill, reskill and grow your career
  • Access the TUI Tech Learning Hub
  • Participate in our tech communities and collaborate on global projects and teams
  • Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation and the Sustainable Tech Community

Additional Information:

Job Posted:
August 12, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Icon
TUI - 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 Ops Engineer

Machine Learning Engineer II - Training

As a Machine Learning Engineer II on our Training team, you will develop algorit...
Location
Location
United States , Boston
Salary
Salary:
125000.00 - 170000.00 USD / Year
whoop.com Logo
Whoop
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
  • 2+ years of ML engineering, applied research, or a similar role
  • 2+ years experience applying advanced mathematical and statistical techniques
  • Experience deploying and maintaining production ML systems on cloud platforms (e.g., Kubernetes, AWS, GCP)
  • Familiarity with MLOps best practices and the ability to collaborate effectively with infrastructure teams on Docker, CI/CD workflows, model versioning, and observability tools
  • Proficiency in scientific Python and SQL
  • Excellent verbal and written communication skills
Job Responsibility
Job Responsibility
  • Design, train, and optimize machine learning algorithms for movement, exercise and training applications across diverse backend platforms
  • Collaborate closely with data scientists, ML Ops and software engineering teams to ensure reliable deployment, observability, and robust integration with the WHOOP ecosystem
  • Contribute to technical roadmap development and architectural decision-making for projects that you are involved in
  • Work closely with a team of data scientists in developing algorithms that power member-facing features
  • Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation
  • Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services
What we offer
What we offer
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

Machine Learning Engineers at Rocket Money further our mission by building produ...
Location
Location
United States , San Francisco; Washington, D.C.; New York City; Silver Spring; Miami; Denver
Salary
Salary:
210000.00 - 260000.00 USD / Year
truebill.com Logo
Truebill
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of professional experience in machine learning engineering or data science roles
  • Proven track record of designing and implementing ML systems at consumer tech scale and speed
  • Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms
  • Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications
  • Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks
  • Understanding of ML methods at a fundamental level
  • Master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation
  • Owned the development, launch, and maintenance for several scaled ML/AI powered product experiences
  • Understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments
  • Technical leader who can identify both emergent technical opportunities and gaps relative to best practice
Job Responsibility
Job Responsibility
  • Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite
  • Design, implement, and maintain robust evaluation frameworks
  • Develop novel new product experiences
  • Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams
  • Provide technical mentorship
What we offer
What we offer
  • Health, Dental & Vision Plans
  • Competitive Pay
  • 401k Matching
  • Unlimited PTO
  • Lunch daily (in-office only)
  • Snacks & Coffee (in-office only)
  • Commuter benefits (in-office only)
  • Bonus
  • Fulltime
Read More
Arrow Right

Engineering Manager - Machine Learning Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...
Location
Location
United States , San Francisco
Salary
Salary:
241200.00 - 400000.00 USD / Year
plaid.com Logo
Plaid
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8–10 years of experience in ML infrastructure, including direct hands-on expertise as an engineer, IC/TL
  • 2+ years of experience managing infrastructure or ML platform engineers
  • Proven experience delivering and operating ML or AI infrastructure at scale
  • Solid technical depth across ML/AI infrastructure domains (e.g., feature stores, pipelines, deployment, inference, observability)
  • Demonstrated ability to drive execution on complex technical projects with cross-team stakeholders
  • Strong communication and stakeholder management skills
Job Responsibility
Job Responsibility
  • Lead and support the ML Infra team, driving project execution and ensuring delivery on key commitments
  • Build and launch Plaid’s next-generation feature store to improve reliability and velocity of model development
  • Define and drive adoption of an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
  • Ensure operational excellence of ML pipelines, deployment tooling, and inference systems
  • Partner with ML product teams to understand requirements and deliver solutions that accelerate model development and iteration
  • Recruit, mentor, and develop engineers, fostering a collaborative and high-performing team culture
What we offer
What we offer
  • medical
  • dental
  • vision
  • 401(k)
  • equity
  • commission
  • Fulltime
Read More
Arrow Right

Staff Machine Learning Engineer

Machine learning is the crucial enabler for every financial service EarnIn provi...
Location
Location
United States , Mountain View
Salary
Salary:
272700.00 - 333300.00 USD / Year
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
  • 7+ years of industry machine learning experience and excellent software engineering skills
  • Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
  • Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI
  • Experience with LLM Ops, foundation model APIs, and AI engineering
  • Familiarity with data pipeline and workflow management tools
  • Strong communication and collaboration skills
  • Passion for learning and staying updated with the latest machine learning and platform engineering industry trends
Job Responsibility
Job Responsibility
  • Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle
  • Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results
  • Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
  • Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
  • Set examples of outstanding operational excellence. Be the catalyst for step-jump changes
  • Be a mentor, coach, leader and inspiration to those around you
What we offer
What we offer
  • equity and benefits
  • Fulltime
Read More
Arrow Right

Senior Platform Machine Learning Engineer

Machine learning is the crucial enabler for every financial service EarnIn provi...
Location
Location
United States , Mountain View
Salary
Salary:
232200.00 - 283800.00 USD / Year
earnin.com Logo
EarnIn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
  • 4+ years of industry machine learning experience and excellent software engineering skills
  • Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch
  • Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI
  • Experience with LLM Ops, foundation model APIs, and AI engineering
  • Familiarity with data pipeline and workflow management tools
  • Strong communication and collaboration skills
  • Passion for learning and staying updated with the latest machine learning and platform engineering industry trends
Job Responsibility
Job Responsibility
  • Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle
  • Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results
  • Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
  • Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities
  • Set examples of outstanding operational excellence. Be the catalyst for step-jump changes
What we offer
What we offer
  • equity and benefits
  • Fulltime
Read More
Arrow Right

Machine Learning Lead

Instawork is on a mission to create meaningful economic opportunities for skille...
Location
Location
United States , San Francisco
Salary
Salary:
240000.00 - 260000.00 USD / Year
instawork.com Logo
Instawork
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Mid-career developer with at least 8 years of programming and/or engineering leadership experience, excluding internships
  • Machine learning expert with a Master’s or PhD in an AI or ML-related field and at least 2 years of professional experience building ML or CV models for robotics or autonomous vehicle applications
  • Experienced with data pipelines, with expertise in distributed systems, cloud computing on AWS infrastructure, and scalable data processing for large-scale datasets
  • Innovator with a background in identifying and translating techniques from academic research and frontier labs into production systems
  • Problem-solver who enjoys building new-to-world systems, sharing technical expertise, and applying creativity and grit
Job Responsibility
Job Responsibility
  • Model Development - plan, architect, and build the data labeling and enrichment pipeline at the foundation of Instawork Robotics’ data offering
  • Pipeline Optimization - identify and implement continuous improvements to our data pipeline to improve efficiency, scalability, and quality
  • Dataset Quality - develop methodologies and analytics to measure the quality and performance of our dataset and ML models
  • Research Reviews - stay on top of academic research and industry best practices related to robotics learning and training
  • Cross-Functional Collaboration - Work closely with robotics leadership, data ops, QA, and other engineering teams to ensure alignment from concept to deployment
  • Mentorship & Influence - Guide mid and senior-level engineers through code reviews, pair programming, and architectural discussions, raising the technical bar across the organization
What we offer
What we offer
  • Equity in the form of stock options
  • Variety of medical, dental, and vision plans with coverage beginning on the date of hire
  • Flexible paid time off
  • At least 8 paid company holidays annually
  • Home office stipend
  • Phone stipend
  • Commuter stipend
  • Supplemental pay on qualified leaves
  • Employee health savings accounts (HSA) contribution
  • Flexible spending plans
  • Fulltime
Read More
Arrow Right

Lead Product Manager, Data and Machine Learning (ML)

As a Lead Data and Machine Learning Product Manager, you’ll own the vision, stra...
Location
Location
United States , New York
Salary
Salary:
200000.00 - 230000.00 USD / Year
clearme.com Logo
Clear
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of product management experience, ideally owning data platforms, ML-powered features, or analytics products
  • Strong fluency in data infrastructure, machine learning workflows, and responsible AI concepts
  • Experience delivering end-user and partner-facing features (e.g. personalization, core identity, insights, fraud detection)
  • Skilled in partnering with Data, Engineering, and Security teams to ship performant, privacy-safe, and compliant systems
  • Adept at leading cross-functional teams, navigating ambiguity, and driving from vision to execution
  • Excellent communication skills
  • able to explain complex concepts to technical and non-technical audiences alike
  • Deep curiosity and user-first mindset, with a passion for unlocking value through intelligence
Job Responsibility
Job Responsibility
  • Define and own the product strategy and roadmap for CLEAR’s data and ML-powered capabilities, spanning internal intelligence platforms and customer/partner-facing use cases
  • Lead the design and delivery of systems that support ML model development, deployment, and monitoring, in partnership with Engineering and Data teams
  • Define and evolve reporting and analytics capabilities, helping us understand and optimize user identity verification, usage, and conversion
  • Work closely with stakeholders across Engineering, Data, Security, Product, GTM, and Ops to ensure robust, compliant, and scalable solutions
  • Translate regulatory requirements (e.g. GDPR, CCPA) into data handling features that preserve trust and transparency
  • Set clear KPIs and success metrics, and use them to inform prioritization, iteration, and impact storytelling
What we offer
What we offer
  • Hybrid work environment
  • Meals and snacks in offices
  • Well-being and learning & development stipend and reimbursement programs
  • Comprehensive healthcare plans
  • Family building benefits (fertility and adoption/surrogacy support)
  • Flexible time off
  • Free OneMedical memberships for you and your dependents
  • 401(k) retirement plan with employer match
  • Annual bonuses
  • Commission
  • Fulltime
Read More
Arrow Right

Senior Software Engineer - ML Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...
Location
Location
United States , San Francisco
Salary
Salary:
180000.00 - 270000.00 USD / Year
plaid.com Logo
Plaid
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of industry experience as a software engineer, with strong focus on ML/AI infrastructure or large-scale distributed systems
  • Hands-on expertise in building and operating ML platforms (e.g., feature stores, data pipelines, training/inference frameworks)
  • Proven experience delivering reliable and scalable infrastructure in production
  • Solid understanding of ML Ops concepts and tooling, as well as best practices for observability, security, and reliability
  • Strong communication skills and ability to collaborate across teams
Job Responsibility
Job Responsibility
  • Design and implement large-scale ML infrastructure, including feature stores, pipelines, deployment tooling, and inference systems
  • Drive the rollout of Plaid’s next-generation feature store to improve reliability and velocity of model development
  • Help define and evangelize an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring
  • Ensure operational excellence of ML pipelines and services, including reliability, scalability, performance, and cost efficiency
  • Collaborate with ML product teams to understand requirements and deliver solutions that accelerate experimentation and iteration
  • Contribute to technical strategy and architecture discussions within the team
  • Mentor and support other engineers through code reviews, design discussions, and technical guidance
What we offer
What we offer
  • medical, dental, vision, and 401(k)
  • 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
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy