Senior ML Ops Engineer (Experiences)

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.

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