Level

TripadvisorPosted today

L4

London - Senior ML Ops Engineer (Experiences)

London - Senior ML Ops Engineer (Experiences) at Tripadvisor scores 90 out of 100 on AI centrality, which makes it a Level 4 role on this board.

Remote (UK)senior

AI in this role

Build and maintain MLOps infrastructure and tools to empower data science and machine learning teams at Tripadvisor.

mlflowsagemakerawspython
ml-opsmlopsmachine-learninginfrastructuredata-science

About Tripadvisor

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.

Tripadvisor Experiences Engineering is the team that builds and supports the world's leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore—everything from simple tours to extreme adventures (and everything in between) —making memories that will last a lifetime has never been easier.

This role is a hybrid position based in our London office (minimum 2x per month) open for candidates based in London or maximum 1,5h away from London.

What you'll do:

Our mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve business performance. As a Senior ML Ops Engineer, you will play a pivotal role in our dynamic team, collaborating closely with Data Science and Machine Learning experts. You will have the opportunity to learn many cutting edge technologies around Machine Learning Platform, as also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include:

  • Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks.
  • Support tech stack evolution, by developing across our existing technology stack while contributing to our migration into the AWS cloud, leveraging and adopting the latest services available in that environment.
  • Design, build and maintain a robust and scalable infrastructure to support pre-computed, batch and real-time model needs, ensuring smooth deployment and operation of machine learning models.
  • Foster a culture of innovation by generating and promoting new ideas within the ML Ops domain. Find creative solutions to complex problems, pushing the boundaries of what is possible.

What you'll need:

  • 4+ years of ML Ops experience, focused on building modern ML infrastructure catering all stages of a model lifecycle, including development, deployment, management and monitoring.
  • Hands-on experience with AWS and GCP, demonstrating proficiency in leveraging cloud services for scalable and reliable ML Ops solutions.
  • Have a good grasp of IaC (Infrastructure-as-code) tools like Terraform and CloudFormation.
  • Previous exposure to additional technologies like Python, Spark, Pandas, Docker, Kubernetes, Seldon, MLFlow, Sagemaker, Valohai, ArgoCD, Argo Workflow, Postgres, BigQuery and Java is highly desirable.
  • Data Engineering experience on the Cloud preferably GCP or AWS
  • Ability to develop across a diverse technology stack and willingness and ability to take on new technologies.
  • Demonstrated experience participating on cross functional teams in fast-paced environments.
  • Excellent ability to break down complex problems into simple solutions.
  • 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

Perks of Working at Viator

  • Competitive compensation packages, including base salary, annual bonus, and equity.
  • “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations. 
  • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work.
  • Donation matching. Give back? Give more! We match qualifying charitable donations annually.
  • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs.
  • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you.
  • Travel perks. We believe that travel is employee development, so we provide discounts and more.
  • Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges.
  • Health benefits. We offer great coverage and competitive premiums.

Our Values

We aspire to lead; We’re relentlessly curious;... want to know more? Read up on our values: 

  • 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.

 

 

#LI-TM2

#LI-Hybrid

#Viator

 

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Ml OpsMlopsMachine LearningInfrastructureData ScienceMlflowSagemakerAws

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Tell me about a project where mlops was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where infrastructure was part of your work. What did you do?
  5. Tell me about a project where data science was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Ml Ops, Mlops, Machine Learning, Infrastructure, and Data Science. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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