Senior Machine Learning Scientist (Viator)

Tripadvisor
City of London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Scientist

Senior Machine Learning Engineer

Senior Data Scientist and Machine Learning Researcher

Senior Data Scientist

Senior Data Scientist

Junior / Graduate Data Scientist

About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore—everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)—making memories that will last a lifetime has never been easier. With industry-leading flexibility and last-minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you’ll remember. Perks of Working at Viator



  • Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary, annual bonus, and equity.
  • “Work your way” with flexibility to suit your lifestyle. Viator takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like.
  • 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. 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’ll 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.

You will work on

  • Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency.
  • Analyse large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement.
  • Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives.
  • Investigate and adopt innovative concepts that offer tangible benefits.
  • Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision.

Requirements

  • 5+ years of hands‑on data science experience.
  • In‑depth knowledge of AI / ML / DL, Statistics, and related open‑source libraries.
  • Awareness of current ML techniques, keen on self‑improvement and striving to solve real‑world data challenges.
  • Strong skills in SQL and at least one programming language.
  • Experience in ML model productisation and a grasp of MLOps.
  • Comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments.
  • Experience in deploying online solutions and analysing real‑time results through A / B testing.
  • Passionate about mentoring junior members of the team, and a strong desire to help us perform to the best of our ability.
  • Leadership qualities, autonomy, and team collaboration skills.
  • Clear communication skills, awareness of the audience, and proactive sharing of findings.
  • Actively involved in business networking and able to communicate complex ideas across the business simply and effectively.

Desired Qualifications

  • Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines.
  • Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems.
  • Prior experience in e-commerce or at an Online Travel Agency.

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 and let us know the nature of your request. Please include the job requisition number in your message.


#Viator
#LI-Remote
#LI-JP
#LI-Hybrid


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.