Senior Machine Learning Engineer - NLP
- sheffield, south yorkshire, S1 4HG, United Kingdom
- Permanent·Remote
- Full time
- £82,000 - £82,000 Per Annum
Job Description
About the Role
Our client, a cutting-edge AI research lab operating on a remote-first basis, is looking for a brilliant Senior Machine Learning Engineer with a specialization in Natural Language Processing (NLP) . You will be at the forefront of developing and deploying advanced NLP models that power innovative applications. This role involves pushing the boundaries of AI, working with large datasets, and contributing to the creation of sophisticated language understanding systems. You'll collaborate with a world-class team of researchers and engineers, contributing to significant advancements in the field of artificial intelligence, all within a flexible remote work structure.
Key Responsibilities
- Design, train, and deploy state-of-the-art NLP models for tasks such as sentiment analysis, text generation, and information extraction.
- Develop and maintain production-level machine learning pipelines for NLP applications.
- Collaborate with researchers and engineers to integrate NLP capabilities into new and existing products.
- Stay current with the latest research in NLP and deep learning, and apply relevant techniques.
- Optimize model performance and efficiency for large-scale deployments.
Requirements
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- 5+ years of professional experience in machine learning, with a deep focus on NLP .
- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- Proven ability to work independently and manage complex projects in a remote setting.
Benefits
- Highly competitive salary and a generous bonus structure.
- Comprehensive health, dental, and vision insurance coverage.
- Significant budget allocated for professional development, including conferences and courses.
- Flexible working hours and a fully remote working environment.
- Opportunity to work on groundbreaking AI research and development from Sheffield .


