Haystack
Machine Learning Engineer
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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.
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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.
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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!
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