Senior AI Engineer

4 weeks ago

City of London Greater London, United Kingdom Skippr Full time

About Us Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed.

  • Based in London, UK, we're a seed-stage startup energized by top VCs and angel investors, geared for rapid growth
  • Transforming the product design landscape with our pioneering AI technology
  • Innovating in augmented design tools, setting a new standard in the industry
  • Our team culture is open, transparent, and performance-driven, thriving on creativity and simplicity in design
  • Diversity and Inclusion: We celebrate diverse perspectives and are committed to an inclusive environment where everyone thrives.
About The Job Join us as a Senior Machine Learning Engineer (LLM) and play a pivotal role in shaping AI-driven design automation. You will:
  • Lead the development of new generative AI features, tackling complex problems in design automation.
  • Work in a small, dynamic team, fostering maximum autonomy and rapid innovation.
  • Collaborate cross-functionally to identify business needs and tailor AI solutions that meet these needs.
  • Optimise AI models and infrastructure for performance, scalability, and accuracy.
  • Stay abreast of the latest AI technologies and techniques, continuously driving innovation.
About You
  • Holding a Master's degree in Computer Science or a related field, or possessing similar practical experience.
  • A minimum of 4 years' experience in Python, with a strong foundation in machine learning principles.
  • Proficient in modern AI frameworks and libraries, notably PyTorch and Hugging Face.
  • Experienced with foundational Large Language Models (LLMs) APIs in production environments.
  • Skilled in deploying machine learning solutions to production.
  • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
  • It's an advantage if you are proficient in C++ or Julia for research and production purposes.
  • Additional advantage for experience in ML Ops and deployment across various cloud platforms (AWS, GCP, Azure).
Benefits
  • Competitive Salary: Fair and attractive compensation
  • Equity: Significant stake in a rapidly growing startup
  • Pension: Auto-enrollment in our company scheme
  • Health Insurance: Comprehensive coverage
  • Paid Time Off: 25 days vacation,

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