Senior Machine Learning Engineer
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Role details
Tech stack
Job description
This is an opportunity to join a high-growth AI SaaS business using NLP and GenAI to transform unstructured customer feedback into actionable business insights. You’ll work at the intersection of Machine Learning research and production, developing models that directly influence customer experience and commercial outcomes. The Company They are an AI-focused technology company helping organisations unlock value from large-scale customer feedback data. With strong growth, expanding enterprise clients, and significant investment in AI, they are building innovative NLP and LLM-powered products that drive measurable business impact. The Role You will develop and deploy advanced NLP and GenAI solutions across the full ML lifecycle., * Build and improve models for information extraction, retrieval, re-ranking, and sentiment analysis.
- Fine-tune language models and optimise LLM performance.
- Design and evaluate experiments to improve product outcomes.
- Develop production-ready machine learning solutions.
- Work with agentic AI systems and modern NLP architectures.
- Collaborate closely with Product, Engineering, and senior stakeholders.
Requirements
- Strong commercial experience in Machine Learning and NLP.
- Hands-on experience fine-tuning language models and working with LLMs.
- Knowledge of GenAI and agentic AI patterns.
- Experience working with large, complex datasets.
- Understanding of model deployment and productionisation.
- Strong communication and stakeholder management skills.
- A practical approach to solving real-world business problems.
Skills
- NLP
- Fine-tuning
- vLLMs
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