Machine Learning Ops Engineer Job at TUI (Oporto)

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Senior Machine Learning Engineer

about job Create and maintain code, documentation, testing and deployment framew...

Location

Singapore , Singapore

Salary:

8000.00 - 10500.00 SGD / Month

Randstad

Expiration Date

January 01, 2026

Requirements

Bachelors in Computer Science or equivalent experience
Min 3 years in machine learning and operations, ideally in a hands-on MLOps role
Experience deploying APIs and packages
Experience with ML ops platforms (MLFlow, W&B
Kubernetes, Docker, dask, rapids.ai, Ray)
Experience with ML frameworks (Tensorflow, keras, Pytorch, xgboost, sklearn)
Strong Python coding skills – experience with unit testing, code reviews, version control
Or could be DevOps Engineer with ML experience. OR Bioinformatics Engineer with AI/ML ops related experience OR ML Engineer with DevOps experience

Job Responsibility

Create and maintain code, documentation, testing and deployment frameworks, tools and infrastructure, working closely with engineers and domain experts on AI/ML models and pipelines
Machine learning model training pipeline, how to manage the data, how to get data into production
Develop environments for building, testing, tracking production AI models and data across data pipelines used in primary and secondary genomic analysis
Be a technical expert to develop AI models within a consistent ML environment, automate training and data/model management

What we offer

Bonus + Allowance
Hybrid working arrangement - 2 days WFH
Can end work early and have more personal time
shuttle bus provided from multiple MRT stations

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Machine Learning Engineer II - Training

As a Machine Learning Engineer II on our Training team, you will develop algorit...

Location

United States , Boston

Salary:

125000.00 - 170000.00 USD / Year

Whoop

Expiration Date

Until further notice

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

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

equity
benefits

Fulltime

Staff Machine Learning Engineer

Machine Learning Engineers at Rocket Money further our mission by building produ...

Location

United States , San Francisco; Washington, D.C.; New York City; Silver Spring; Miami; Denver

Salary:

210000.00 - 260000.00 USD / Year

Truebill

Expiration Date

Until further notice

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

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

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

Engineering Manager - Machine Learning Infrastructure

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

241200.00 - 400000.00 USD / Year

Plaid

Expiration Date

Until further notice

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

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

medical
dental
vision
401(k)
equity
commission

Fulltime

Staff Machine Learning Engineer

Machine learning is the crucial enabler for every financial service EarnIn provi...

Location

United States , Mountain View

Salary:

272700.00 - 333300.00 USD / Year

EarnIn

Expiration Date

Until further notice

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

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

equity and benefits

Fulltime

Senior Platform Machine Learning Engineer

Machine learning is the crucial enabler for every financial service EarnIn provi...

Location

United States , Mountain View

Salary:

232200.00 - 283800.00 USD / Year

EarnIn

Expiration Date

Until further notice

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

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

equity and benefits

Fulltime

Executive Director – AI and Machine Learning

At CVS Health, we’re building a world of health around every consumer and surrou...

Location

United States , Work At Home, New Jersey

Salary:

175100.00 - 334750.00 USD / Year

CVS Health

Expiration Date

December 31, 2025

Requirements

PhD or Master's degree in AI/ML, Computer Science, Statistics, Engineering, or equivalent experience
15+ years leading Enterprise Machine Learning, Infrastructure, Data Science, and/or SRE practices
5+ years applying Machine Learning to optimize technology operations (AIOps)
10+ years at a leadership level or above, within a Fortune 500 company with significant scale
Proven experience leading AI governance, establishing and maintaining robust ML Ops environments, leading development of large-scale AI and ML platforms and solutions, and developing strategic partnerships with internal clients, industry experts, and vendors
Ability to develop and implement a comprehensive AI/ML strategy that aligns with the organization's business goals
Deep understanding of AI/ML technologies, including model development, deployment, MLOps, GenAIOps, and LLMOps practices
Demonstrated knowledge of and significant experience building and operating on-premise AI processor (e.g., GPU clusters) and platform architectures for the deployment and management of enterprise AI workloads
Experience with and commitment to ensuring AI/ML solutions are developed and deployed ethically, with a focus on fairness, transparency, and accountability
Familiarity with industry standards and regulations related to AI and Machine Learning

Job Responsibility

Develop, implement, and enhance governance frameworks and policies to ensure effective oversight of operational and security-focused AI and ML solutions
Establish and enforce standards for the build, management, governance, and utilization of AI models and model execution platforms
Establish and socialize a framework for the documentation, proposal, evaluation, build, delivery, and ongoing value assessment of scalable operations and security-focused AI/ML solutions
Evaluate and certify foundational models for use within CVS Health, ensuring alignment with organizational goals and security requirements
Regularly assess and enhance the governance model and associated standards to address emerging challenges and opportunities
Establish and maintain robust MLOps, GenAIOps, and LLMOps practices
Build and manage pipelines to enable teams to design AI-powered applications, develop and experiment with models, and deploy, monitor, and maintain them in production
Drive delivery of AI and ML solutions providing provide deep insights and reporting on operations and security data
Develop proactive AI-driven solutions to measurably reduce time to detect security and operational issues, provide adaptive recommendations, and automate remediation
Deliver solutions to enable users to interact with operational data driving measurable improvements in productivity, performance, and innovation

What we offer

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance

Fulltime

!

Machine Learning Lead

Instawork is on a mission to create meaningful economic opportunities for skille...

Location

United States , San Francisco

Salary:

240000.00 - 260000.00 USD / Year

Instawork

Expiration Date

Until further notice

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

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

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

Machine Learning Ops Engineer

TUI

Location:
Portugal , Oporto ▼
Lisbon
Funchal
Ponta delgada

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
August 12, 2025

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