London - ML Ops Engineer II (Experiences)
Quick Summary
Empowering Data Science and ML stakeholders, by providing the tools and support the infrastructure necessary for seamless execution of machine learning and AI processes.
2+ years of MLOps experience, participating in building modern ML infrastructure catering to all stages of a model lifecycle. Hands-on experience with AWS and/or GCP,
The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.
Responsibilities
~1 min read- →Empowering Data Science and ML stakeholders, by providing the tools and support the infrastructure necessary for seamless execution of machine learning and AI processes.
- →Support tech stack evolution by developing across our existing technology stack running in AWS cloud, leveraging and adopting the latest solutions available in that environment.
- →Build and maintain a robust and scalable infrastructure to support pre-computed, batch and real-time model needs, ensuring smooth deployment and reducing time-to-market of machine learning models.
- →Take responsibility for all aspects of software engineering, from design to implementation, QA, and maintenance.
- →Monitor and support ML pipelines for accuracy, drifts, enhancements, changes, SLA, and billing volumes to ensure all models are processed accurately and when needed.
- →Foster a culture of innovation by generating and promoting new ideas within the MLOps domain.
- →Work with cross-functional stakeholders in defining and documenting requirements for building high-quality and impactful ML/AI products.
- 2+ years of MLOps experience, participating in building modern ML infrastructure catering to all stages of a model lifecycle.
- Hands-on experience with AWS and/or GCP, demonstrating proficiency in leveraging cloud services for scalable and reliable MLOps solutions.
- Have a good grasp of IaC (Infrastructure-as-code) tools like Terraform or CloudFormation.
- Previous exposure to additional technologies like Seldon, KServe, RayServe, Kubernetes, MLFlow, Sagemaker, Kubeflow, Anyscale, Valohai, ArgoCD, Docker, Python, Java, Ray, Spark, Pandas, Argo Workflow, Postgres, Snowflake and BigQuery is highly desirable.
- Good to have: previous knowledge managing complementary DBs like vector and/or graph DBs
- Good to have: Hands-on experience in model optimization with experience in handling high throughput and low latency applications with an eye on cost.
- Good to have: Experience with LLMOps leveraging open source models
- Ability to develop across a diverse technology stack and willingness and ability to take on new technologies.
- Demonstrated experience participating in cross-functional teams in fast-paced environments.
- Experience with CI/CD processes and platforms.
- Ability to effectively operate both independently and as part of a team.
- Sense of ownership, urgency and pride in your work.
- High-quality verbal and written communication skills.
What We Offer
~1 min read- We aspire to lead. Tap into your talent, ambition, and knowledge to bring us – and you – to new heights.
- We’re relentlessly curious. We push beyond the usual, the known, the “that’s just how it’s done.”
- We’re better together. We learn from, accept, respect, support, and value one another– and are creating something remarkable in the process.
- We serve our customers, always. We listen, question, respond, and strive for wow moments.
- We strive for better, not perfect. We won’t get it right the first time – or every time. We’ll provide a safe environment in which to make mistakes, iterate, improve, and grow.
- Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.
If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to AccessibleRecruiting@Tripadvisor.com and let us know the nature of your request. Please include the job requisition number in your message.
#Viator
#LI-Remote
#LI-TM2
Location & Eligibility
Listing Details
- Posted
- September 22, 2026
- First seen
- September 22, 2026
- Last seen
- September 28, 2026
Posting Health
- Days active
- 5
- Repost count
- 0
- Trust Level
- 45%
- Scored at
- September 28, 2026
Signal breakdown
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