CrawlJobs Logo

Senior Machine Learning Scientist (Generative AI)

United Kingdom; Poland · Job Posted January 07, 2026
Apply Position
Job Link Share

Job Description

About Viator: Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore—everything from simple tours to extreme adventures (and all the niche, interesting stuff in 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.

Job Responsibility

  • Research, prototype, and productionize generative AI models
  • Develop scalable GenAI pipelines that generate high-quality content, from product descriptions, reviews, titles, and other product content
  • Design and evaluate prompt tuning strategies and RAG systems to ensure factual and engaging outputs
  • Fine-tune foundation models and develop domain-specific adapters using techniques like LoRA, PEFT, and instruction tuning
  • Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops
  • Understanding use cases for Agentic AI communicating your findings with the wider ML team and product
  • Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs
  • Collaborate cross-functionally with product, design, and engineering to integrate models into user-facing applications
  • Stay up to date with the latest in GenAI research and help shape internal best practices
  • Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency
  • 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

Requirements

  • 5+ years of hands-on data science experience
  • At least 2 years of experience with LLM
  • Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring
  • In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries
  • Strong skills in SQL
  • Strong skills in at least one programming language
  • 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
  • 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

Nice to have

  • Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines
  • Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM)
  • Prior experience in e-commerce or at an Online Travel Agency

What we offer

  • Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonus
  • “Work your way” with flexibility to suit your lifestyle
  • Flexible schedule
  • Donation matching
  • Tuition assistance
  • Lifestyle benefit (annual benefit to spend on yourself)
  • Travel perks
  • Employee assistance program
  • Health benefits

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Machine Learning Scientist (Generative AI)

8 matching positions

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...
Location
Location
United Kingdom , Cambridge
Salary
Salary:
136000.00 - 261050.00 GBP / Year
altoslabs.com Logo
Altos Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
  • 6+ years of relevant post-PhD work experience in either an academic or industry setting
  • Proven experience developing and applying complex machine learning models
  • A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
  • Excellent scientific communication skills
  • Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
  • Proven experience applying sophisticated ML techniques to molecular and cell biological data sets
Job Responsibility
Job Responsibility
  • Pioneer novel machine learning methodologies and statistical frameworks
  • Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
  • Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
  • Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
  • Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
  • Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
  • Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
  • Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
  • Act as a key technical mentor to Machine Learning Scientists and Engineers
  • Fulltime
Read More
Arrow Right

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...
Location
Location
United States , Redwood City; San Diego
Salary
Salary:
260950.00 - 509450.00 USD / Year
altoslabs.com Logo
Altos Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
  • 6+ years of relevant post-PhD work experience in either an academic or industry setting
  • Proven experience developing and applying complex machine learning models
  • A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
  • Excellent scientific communication skills
  • Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
  • Proven experience applying sophisticated ML techniques to molecular and cell biological data sets
Job Responsibility
Job Responsibility
  • Pioneer novel machine learning methodologies and statistical frameworks
  • Contribute to setting the long-term technical vision and research strategy for a core domain
  • Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
  • Design, implement, and optimize large-scale machine learning systems
  • Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
  • Develop robust approaches for multi-modal data integration and cross-domain mapping
  • Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
  • Lead the full ML development lifecycle
  • Act as a key technical mentor to Machine Learning Scientists and Engineers
Read More
Arrow Right

Senior Research Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Do you want a role with deep meaning and the ability to make a major impact? As ...
Location
Location
United Kingdom , Edinburgh
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree, or a PhD and experience in quantitative field research
  • Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
  • 5+ years of experience in applied selection research, job analysis, test development, and validation
  • Foundational skills in conducting experimental research studies and data analysis
  • Proficiency in scripting for data analysis (e.g., R, Python)
Job Responsibility
Job Responsibility
  • Partner on design and development of AI-powered systems to scale job analyses enterprise-wide
  • Match potential candidates to the jobs they’ll be most successful in
  • Conduct validation research for top-of-funnel AI-based evaluation tools
  • Develop and implement novel research strategies using the latest technology
  • Build solutions while experiencing Amazon’s customer-focused culture
  • Work with diverse groups of people and inter-disciplinary cross-functional teams to solve complex business problems
Read More
Arrow Right

Senior Machine Learning Systems Engineer

Our organization drives AI innovation across Jira products. We deliver seamless ...
Location
Location
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience building Machine Learning and AI solutions (4+ years)
  • Proven experience developing, deploying, and maintaining end-to-end ML systems, including data engineering, model serving, and monitoring
  • Expert proficiency with GenAI frameworks and tools, including developing and fine-tuning large language models (LLMs) and building retrieval-augmented generation (RAG) systems
  • Expert proficiency in Python and ML frameworks like PyTorch, TensorFlow, or JAX
  • Experience implementing MLOps, CI/CD pipelines, and automation for continuous training, deployment, and monitoring of ML models
Job Responsibility
Job Responsibility
  • Collaborate with software engineers, data scientists, and product managers to solve complex problems
  • Lead projects from technical design through launch
  • Partner with teams to achieve impactful results
  • Deliver robust ML solutions to build AI features reaching millions
  • This includes curating ML datasets, fine-tuning open-source LLMs, or accessing proprietary LLMs
  • Mentor junior members of the team
What we offer
What we offer
  • Health and wellbeing resources
  • Paid volunteer days
Read More
Arrow Right

Senior Software Engineer – AI

NStarX is seeking a highly skilled Senior Software Engineer – AI with a strong f...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nstarxinc.com Logo
NStarX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (PhD is a plus)
  • 9+ years of experience in AI/ML engineering or related roles
  • 3+ years of experience in Generative AI with team leadership responsibilities
  • Proven track record of production-grade ML and GenAI model development and deployment
  • Programming: Python (preferred)
  • GenAI Frameworks: Hugging Face Transformers, Diffusers, LangChain, TGI
  • Serving & Inference: FastAPI, gRPC, NVIDIA Triton, TorchServe
  • Cloud Platforms: AWS (SageMaker, EKS), GCP (Vertex AI, GKE), Azure (Azure ML, AKS)
  • MLOps & DevOps: Kubeflow, MLflow, GitHub Actions, Jenkins, Helm, Terraform
  • Optimization Techniques: Model quantization, distillation, pipeline and tensor parallelism
Job Responsibility
Job Responsibility
  • Design, develop, and deploy machine learning models and AI algorithms to address complex business challenges
  • Lead and mentor a team of AI/ML engineers, ensuring quality and scalability in solution design and implementation
  • Collaborate closely with cross-functional teams including data scientists, software engineers, product managers, and UX designers
  • Lead the development and deployment of Generative AI applications across text, code, image, and audio modalities using state-of-the-art LLMs
  • Design and implement CI/CD pipelines for the GenAI model lifecycle including training, validation, packaging, and deployment
  • Apply best practices for model performance tuning, cost optimization, and scalable deployment in cloud and hybrid environments
  • Develop prompt engineering, fine-tuning strategies (LoRA, QLoRA, PEFT), and evaluation protocols tailored to business use cases
  • Stay current with emerging trends in AI, ML, and Generative AI and drive adoption across teams
  • Document processes, model architectures, and deployment strategies for traceability and knowledge sharing
  • Work closely with cross-functional teams to gather requirements and deliver high-quality solutions
What we offer
What we offer
  • Competitive salary aligned with market standards
  • Opportunities for professional development and skill enhancement
  • A collaborative and innovative work environment
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

Location
Location
India , Bengaluru
Salary
Salary:
Not provided
adm.com Logo
ADM
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field. Master’s degree or Ph.D. is a plus
  • 7+ years of experience in data science, machine learning, or AI, with demonstrated success in building models that drive business outcomes
  • Proficient in Python, R, and SQL for data analysis, modeling, and data pipeline development
  • Experience with DevSecOps practices, and tools such as GitHub, Azure DevOps, Terraform, Bicep, AquaSec etc
  • Experience with cloud platforms (Azure, AWS, Google Cloud) and large-scale data processing tools (e.g., Hadoop, Spark)
  • Strong understanding of both supervised and unsupervised learning models and techniques
  • Experience with frameworks like TensorFlow, PyTorch, and working knowledge of Generative AI models like GPT and GANs
  • Hands-on experience with Generative AI techniques, but with a balanced approach to leveraging them where they can add value
  • Proven experience in rapid prototyping and ability to iterate quickly to meet business needs in a dynamic environment
Job Responsibility
Job Responsibility
  • Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives
  • Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes
  • Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM's, LVM's, TTS etc
  • Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions
  • Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration
  • Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems
  • Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems
  • Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks
  • Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact
  • Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives
Read More
Arrow Right

Senior Data Scientist

We are seeking a Senior Data Scientist with deep expertise in unstructured data ...
Location
Location
Taiwan
Salary
Salary:
Not provided
beyond.ai Logo
Beyond Limits
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of hands-on experience in AI, Machine Learning, and Data Science, with a strong focus on production-scale AI
  • Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning techniques
  • Experience working with OCR, ASR, and TTS applications in real-world deployments
  • Proven experience deploying AI models in production, with real-world examples of scaled AI applications
  • Strong understanding of cloud computing, containerization (Docker, Kubernetes), and ML Ops best practices
  • Proficiency in Python, PyTorch, and ML libraries
  • Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures
  • Strong awareness of AI system performance benchmarks (latency, speed, throughput) and ability to optimize models accordingly
  • Experience working with AI agents, designing real-world intelligent automation solutions beyond just open-source experimentation
  • Proficiency in transformer-based architectures (BERT, GPT, LLaMA, Whisper, etc.), including pre-training, fine-tuning, and task-specific adaptation
Job Responsibility
Job Responsibility
  • Develop and deploy AI models for unstructured data (text, speech, audio, images) with a focus on enterprise-scale performance
  • Fine-tune, optimize, and deploy LLMs and multimodal models, integrating distributed training, quantization, and pruning techniques for efficiency
  • Design and implement production-ready AI solutions, ensuring scalability, low-latency inference, and high throughput
  • Work with AI agents and automation frameworks to create intelligent, real-world AI applications for enterprise clients
  • Build and maintain end-to-end LLM Ops pipelines, ensuring efficient training, deployment, monitoring, and model updates
  • Implement vector search and retrieval-augmented generation (RAG) systems for large-scale data solutions
  • Monitor AI performance using key metrics such as speed, latency, and throughput, continuously refining models for real-world efficiency
  • Work with cloud-based AI infrastructure (AWS, GCP) and containerized environments (Docker, Kubernetes) to scale AI solutions
  • Collaborate with engineering, DevOps, and product teams to align AI solutions with business needs and client requirements
  • Implement data curation pipelines, including data collection, cleaning, deduplication, decontamination, etc. for training high-quality AI models
Read More
Arrow Right

Senior Data Scientist

We are seeking a Senior Data Scientist to join our Security Analytics team, lead...
Location
Location
Philippines , Makati City
Salary
Salary:
Not provided
avaloq.com Logo
Avaloq
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Lead and coordinate the Security Analytics team, including project planning, prioritization, and resource allocation
  • Perform data analysis and statistical modeling to uncover risks, anomalous patterns, and emerging threats
  • Apply machine learning and AI techniques (e.g., anomaly detection, clustering, risk scoring) to enhance threat detection and security insights
  • Develop dashboards, reports, and metrics for monitoring cloud security, IAM activity, network events, and operational risks
  • Aggregate and integrate data from multiple sources (logs, SIEM, cloud telemetry, vulnerability scans) for analysis
  • Collaborate with Security Engineers and Cloud Specialists to ensure data availability and quality
  • Identify trends, generate insights, and communicate findings to security, risk, and executive stakeholders
  • Mentor and guide team members, establishing best practices in data collection, analysis, and reporting
  • Support security risk assessments and operational metrics tracking for cloud environments
  • Contribute to the automation of analytics workflows for recurring reporting and operational dashboards
Job Responsibility
Job Responsibility
  • Leading the development of data-driven intelligence across cloud and application environments
  • Combining hands-on advanced analytics with team coordination
  • Ensuring the Security Analytics team delivers actionable insights, predictive models, and operational intelligence to strengthen cloud security posture
  • Working at the intersection of data science, cloud security, and risk management
  • Transforming complex telemetry into actionable security insights
What we offer
What we offer
  • Annual bonus
  • Flexible working
  • Instant recognition scheme
  • Access to Udemy for professional and personal learning
  • Fulltime
Read More
Arrow Right