Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Machine Learning Scientist (Generative AI) - Viator

Viator
London
2 days ago
Create job alert
Overview

Senior Machine Learning Scientist (Generative AI) - Viator. Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. With 300,000+ travel experiences to explore, Viator enables creating memorable experiences with industry‑leading flexibility and last‑minute availability. Viator. One app, 300,000+ travel experiences you’ll remember.

Perks of Working at Viator
  • Competitive compensation packages (base salary and annual bonus).
  • Remote-friendly collaboration across a worldwide team, with option to join on-site as you’d like.
  • Flexible schedule and work‑life balance.
  • Donation matching for qualifying charitable donations.
  • Tuition assistance for qualified programs.
  • Annual lifestyle benefit to spend on travel, wellness, or other personal needs.
  • Travel discounts and related perks.
  • Employee assistance program and comprehensive health benefits.
Our Values
  • We aspire to lead and bring talent, ambition, and knowledge to new heights.
  • We are relentlessly curious and push beyond the usual.
  • We’re better together and value collaboration and respect.
  • We serve our customers, always, with a focus on delivering wow moments.
  • We strive for better, not perfect, and foster a safe environment to learn, iterate, and grow.
  • Our workplace is inclusive and diverse; bring your unique identities and experiences to help revolutionize travel.
You Will Work On
  • Research, prototype, and productionize generative AI models.
  • Develop scalable GenAI pipelines that generate high‑quality content (product descriptions, reviews, titles, and other product content).
  • Design and evaluate prompt tuning strategies and RAG systems for factual and engaging outputs.
  • Fine‑tune foundation models and develop domain‑specific adapters (e.g., LoRA, PEFT, instruction tuning).
  • Define best practices for model monitoring (output quality, hallucination detection, user feedback loops).
  • Communicate findings to the wider ML team and product teams; understand use cases for Agentic AI.
  • Utilize RLHF methodologies to shape behavior and quality of generative outputs.
  • Collaborate cross‑functionally with product, design, and engineering to integrate models into user‑facing applications.
  • Stay up to date with GenAI research and help shape internal best practices.
  • Design, code, experiment, and implement models and algorithms to improve customer satisfaction, supplier value, and operational efficiency.
  • Collaborate with product managers and stakeholders to achieve top‑quality outcomes.
  • Investigate and adopt innovative concepts with tangible benefits.
To Be Successful In The Role, You’ll Need
  • 5+ years of hands‑on data science experience with at least 2 years in LLMs.
  • Awareness of current LLM techniques, prompt tuning, evaluations, and model monitoring.
  • Strong knowledge of AI/ML/DL, statistics, and open‑source libraries.
  • Proficiency in SQL and at least one programming language.
  • Experience in code reviews, architectural discussions, and regular model deployments with a multidisciplinary team.
  • Experience deploying online solutions and analyzing real‑time results via A/B testing.
  • Mentoring experience and a strong desire to help the team perform at its best.
  • Leadership, autonomy, and collaboration skills; clear communication and proactive sharing of findings across the business.
Desired Qualifications
  • Master’s or PhD in Computer Science, Operations Research, Statistics, or related quantitative discipline.
  • Knowledge in user modeling, representation learning, recommender systems, and LLMs.
  • Prior experience in e‑commerce or Online Travel Agency contexts.
Job Location

This role is remote or hybrid in the UK, Poland, or Portugal. Occasional travel to company offices as necessary.

Accommodations

If you need a reasonable accommodation or support during the application or recruiting process due to a medical condition or disability, please reach out to your recruiter or email with the job requisition number.

(Note: The original content includes location and role specifics and is preserved in adjusted formatting for clarity.)


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Machine Learning Scientist

Senior Machine Learning Scientist

Senior Machine Learning Scientist (User Modelling/ Representation Learning) - Viator

Senior Machine Learning Scientist (Recommender Systems) - Viator

Senior Machine Learning Scientist (Recommender Systems) - Viator

Senior Machine Learning Scientist, Financial Crime

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.