Haystack
Staff Machine Learning Engineer
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A pioneering AI software company is at the forefront of developing advanced machine learning products that solve complex, real-world problems. This innovative firm is seeking a technical leader to bridge the gap between cutting-edge research and robust engineering, transforming experimental models into production-ready systems.
The Role
- Own the end-to-end machine learning lifecycle, from data pipelines to model deployment.
- Fine-tune and optimise large language models using advanced techniques like LoRA, QLoRA, supervised fine-tuning, and preference optimisation.
- Design scalable inference infrastructure with a strong 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 to assess model quality, robustness, safety, and performance.
- Lead technical delivery, mentor engineers, and contribute to shaping engineering best practices within a senior, hands-on leadership role.
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What You'll Need
- Proven experience in delivering machine learning systems into production environments.
- Strong understanding of modern foundation models and large language models.
- Expertise in building scalable training and inference infrastructure.
- Excellent software engineering skills, focused on producing maintainable, production-quality code.
- Ability to lead technical delivery effectively while maintaining a hands-on approach.
- Strong communication skills and a collaborative mindset, working across research, engineering, and product teams.
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What's On Offer
- The chance to work with cutting-edge AI technology and solve complex, real-world problems.
- A senior, hands-on leadership role with significant impact on the company's machine learning platform.
- A flexible salary ranging from £100,000 to £200,000.
Apply via Haystack today!
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