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Senior Machine Learning Engineer

Genai, NLP, LLM

Confirmed live in the last 24 hours



51-200 employees

Ownership in largest traveler review platform

Consumer Goods

Senior, Expert

Remote in UK

Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Python NLTK
Data Structures & Algorithms
Apache Spark
Natural Language Processing (NLP)
Google Cloud Platform
  • PhD. or Masters degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree preferred.
  • 5+ years of experience in machine learning engineering or a related field.
  • Proficiency in Python and experience with machine learning libraries such as PyTorch/TensorFlow/Jax, spaCy, NLTK, Hugging Face Transformers, etc.
  • Strong understanding of machine learning algorithms and techniques, including deep learning, reinforcement learning, and natural language processing.
  • Solid foundation of data structures and algorithms.
  • Experience following Software Engineering best practices including source control, code reviews, CI/CD, and automated testing.
  • Ability to write efficient and maintainable SQL queries.
  • Experience deploying machine learning models in production environments using cloud platforms such as AWS or GCP, using Docker and Kubernetes.
  • Experience with distributed computing: Snowflake, Apache Spark, Ray.
  • Experience building data pipelines with tools such as Kubeflow, Argo, and Jenkins.
  • Experience with model tracking and deployment tools such as MLFlow, Seldon, and Sagemaker.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.
  • Experience solving problems in some of the following areas: natural language processing (NLU, NER, word embeddings, LSTM), transfer learning, in-context learning (zero-shot, few-shot etc.), information retrieval, knowledge graphs, and statistical modeling
  • Lead the design, development, and deployment of machine learning models and systems in production.
  • Develop advanced techniques in natural language understanding (NLU), statistical NLP, language modeling, transfer learning, in-context learning (zero-shot, few-shot, etc.), recommender systems, learning-to-rank models, statistical inference and deep learning.
  • Collaborate with cross-functional teams to identify opportunities and develop solutions to complex problems.
  • Stay current with the latest advancements in machine learning and apply them to improve existing systems and processes.
  • Mentor junior team members and provide technical guidance and expertise.
  • Drive innovation and contribute to the overall growth and success of the machine learning team.
  • Design A/B tests and analyze their results.

At this company, employees thrive in a culture centered around extensive user-generated content and advanced online review management, pivotal aspects in shaping the global travel experience. The affiliation with TripAdvisor not only enhances career opportunities through exposure to the industry's best practices but also positions employees at the forefront of technology and customer interaction in the travel industry. This environment encourages innovation and leadership in managing and presenting valuable travel insights.

Company Stage


Total Funding



New Berlin, Wisconsin



Growth & Insights

6 month growth


1 year growth


2 year growth