ML Platform Engineer II (MLOps) in London

ML Platform Engineer II (MLOps) in London

London Full-Time 43200 - 72000 £ / year (est.) Working from home possible
Tripadvisor

At a Glance

  • Tasks: Join us as an ML Platform Engineer II, developing cutting-edge machine learning solutions.
  • Company: Tripadvisor is a welcoming platform that values diverse perspectives to revolutionise travel.
  • Benefits: Enjoy a fun work environment, remote options, and opportunities for recognition and growth.
  • Other info: We promote inclusivity and provide accommodations for all candidates.
  • Why this job: Be part of a dynamic team shaping the future of machine learning in travel.
  • Qualifications: 5+ years in software development; experience with Python, Java, and cloud services preferred.

The predicted salary is between 43200 - 72000 £ per year.

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:
  • Computer Science degree or equivalent 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 recruitment@tripadvisor.com.
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ML Platform Engineer II (MLOps) in London employer: Tripadvisor

At Tripadvisor, we pride ourselves on fostering a collaborative and inclusive work environment where every voice is valued. As a ML Platform Engineer II, you'll not only engage with cutting-edge technologies but also have ample opportunities for professional growth and innovation, all while contributing to a mission that enhances the travel experience for millions. Our commitment to employee well-being and a fun, friendly culture makes Tripadvisor an exceptional place to build your career.

Tripadvisor

Contact Details:

Tripadvisor Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land ML Platform Engineer II (MLOps) in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Tripadvisor or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Tripadvisor.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Tripadvisor.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Tripadvisor that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace ML Platform Engineer II (MLOps) in London

Proficiency in Python and Java
Experience with Docker and Kubernetes
Familiarity with MLFlow and Seldon for model tracking and deployment
Knowledge of Apache Spark for big data processing
Understanding of CI/CD practices using Argo and Git
Experience with AWS cloud services
Strong analytical skills

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Tripadvisor.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Tripadvisor and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Tripadvisor

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Tripadvisor uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.