MLOps Engineer II (Remote or Hybrid)

TripAdvisor LLC; London; Remote; GBP 50,000 - 90,000; Full time

Job summary

An innovative firm is seeking a skilled software engineer to join their dynamic team, focusing on developing a cutting-edge Machine Learning Platform. This role offers the chance to work with a diverse technology stack, including Python, Java, and Kubernetes, while collaborating closely with data scientists. You will be responsible for the complete software engineering process, from design to implementation, ensuring high-quality deliverables. Join a company committed to inclusivity and innovation, where your contributions will directly impact the future of travel technology.

Qualifications

• 5+ years of commercial software development experience.
• Strong analytical skills and ability to write clean, efficient code.
• Willingness to learn new technologies and take ownership.

Responsibilities

• Develop across technology stack including Python, Java, and Kubernetes.
• Collaborate with data science teams to define feature specifications.
• Take responsibility for all aspects of software engineering.

Skills

Python

Java

Kubernetes

Apache Spark

Postgres

Docker

Argo

AWS Cloud Services

Machine Learning Practices

Analytical Skills

Tools

MLFlow

Seldon

ArgoCD

CI/CD Automation

Job description

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there.

We have a fun and friendly environment where the key objective is getting things done. Our engineers are part of the full process from design, to code, to test, to deployment and back again for further iteration.

Our team is building the Machine Learning Platform for all data scientists across Tripadvisor. Our mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance.

We use a variety of 3rd party packages, including MLFlow, Seldon for ML model tracking and deployment, Kubernetes for hosting models, Argo and Git for CI/CD automation, Spark for big data processing. This is a rapidly changing field and we are deeply involved in open source community to help shape the technology evolution and are constantly looking for components to adopt in order to enhance our platform.

What you’ll do:

• Develop across our evolving technology stack - we’re using Python, Java, Kubernetes, Apache Spark, Postgres, ArgoCD, Argo Workflow, Seldon, MLFlow and more. We are migrating into AWS cloud and adopting many services that are available in that environment.
• You will have the opportunity to learn many cutting edge technologies around Machine Learning Platform. You will push the boundaries, to test, develop and implement new ideas, technology and opportunities, and be well rewarded and recognized for doing so.
• Take responsibility for all aspects of software engineering, from design to implementation, QA and maintenance.
• Touch code at every level – from the UI, backend microservices, database, big data processing, operations, to CD/CI automation.
• Collaborate closely with data science teams to define feature specifications and develop high quality deliverables for our customers.
• Take ownership for the quality of the code.

Skills and Experience:

• At least 5 years’ experience of commercial software development.
• Willingness and ability to take on new technologies.
• Ability to break down complex problems into simple solutions.
• Strong analytical skills and desire to write clean, correct and efficient code.
• Sense of ownership, urgency and pride in your work.
• Experience with Python, Java, Docker, Kubernetes, Argo, Spark and AWS cloud services a plus.
• Exposure to Machine Learning practices a plus.

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at [e-mail].

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