Machine Learning Engineer

We're working with an exciting AI software company developing advanced machine learning products that solve complex, real-world problems. They are looking for a technical leader to bridge research and engineering, taking cutting-edge models from experimentation into robust production systems. The Role * Own the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment. * Fine-tune and optimise large language models using modern techniques such as LoRA, QLoRA, supervised fine-tuning, preference optimisation and model distillation. * Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency. * Build and maintain high-quality data pipelines for both synthetic and real-world datasets. * Develop robust evaluation frameworks covering model quality, robustness, safety and performance. * Lead technical delivery, mentor engineers and help shape engineering best practices. What You'll Need * Proven experience delivering machine learning systems into production. * Strong understanding of modern foundation models and large language models. * Experience building scalable training and inference infrastructure. * Excellent software engineering skills with a focus on maintainable, production-quality code. * Comfortable leading technical delivery while remaining hands-on. * Strong communication skills and the ability to collaborate across research, engineering and product teams. What's On Offer * Join a company at the forefront of AI innovation. * Opportunity to work on challenging, real-world problems. * Collaborative and supportive team environment. * Competitive salary package. Apply via Haystack today!