Machine Learning Engineer - NLP Focus
- birmingham, west midlands, B1 1BB, United Kingdom
- Permanent·Hybrid
- Full time
- £70,000 - £70,000 Per Annum
Job Description
About the Role
Our client is seeking a talented Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join their innovative team in Birmingham . This hybrid role offers the opportunity to develop and deploy advanced NLP models that will power next-generation AI applications. You will work on challenging projects that involve understanding and generating human language, contributing to products that interact with millions of users. The position requires a blend of research acumen and practical engineering skills, working within a collaborative environment that encourages both individual contribution and team success. This is an exciting chance to be part of a growing tech hub and influence the direction of AI-driven language solutions.
Key Responsibilities
- Develop, train, and deploy sophisticated NLP models , including transformer-based architectures and language generation systems.
- Implement and optimize ML pipelines for data processing, feature engineering, and model evaluation.
- Collaborate with product managers and data scientists to define project requirements and deliverables.
- Stay abreast of the latest advancements in NLP and machine learning research and apply them to practical problems.
- Contribute to the maintenance and improvement of our existing ML infrastructure and services.
Requirements
- Master's or PhD degree in Computer Science, Computational Linguistics, or a related field.
- 3+ years of professional experience in machine learning, with a strong focus on Natural Language Processing .
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers.
- Experience with cloud platforms like AWS, Azure, or GCP for model deployment and management.
- Strong understanding of statistical methods and computational linguistics principles.
Benefits
- Competitive salary with performance-based incentives.
- Comprehensive health, dental, and vision insurance coverage.
- Generous pension scheme and life assurance.
- Opportunities for professional development and attending industry conferences.
- A balanced hybrid work model combining office collaboration with remote flexibility.