Machine Learning Engineer

1 month ago

London, United Kingdom Renude Full time

About Renude
Renude is developing the world’s first dermatologist-approved AI skin advisor. With less than 650 dermatologists operating in the UK and similar shortages existing around the world, access to qualified skin advice is limited. We aim to create a way for everyone, everywhere to access reliable skin advice personalised to their needs. Our technology is capable of assessing skin conditions, recommending over-the-counter skincare and providing follow-up/monitoring support.

About the Role

As a Machine Learning Engineer y ou’ll work alongside a team of machine learning researchers and engineers as well as our dermatological team. Your work will play a pivotal role in developing out new generative AI features, while supporting the development of our existing technologies, including computer vision models and recommendation systems.

Key Responsibilities

Define, evaluate and assess AI systems performance
Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines
Explore and implement state-of-the-art algorithms to keep our product on the cutting edge techniques
Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques to improve model quality and efficiency
Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions
Apply data-centric AI approaches to enhance data quality when necessary

We use proven technologies combined with managed hosting solutions to focus on what differentiates us and produce high quality software, our current stack includes: Python, React, Postgres, AWS.

Minimum Qualifications

Bachelor's degree in a technical field such as computer science or years of equivalent experience
Research or engineering experience in deep learning with one or more of the following: generative models, segmentation, object detection, classification, model optimisations 
Experience working with machine learning frameworks such as PyTorch, TensorFlow or Keras
Experienced with foundational Large Language Models (LLMs) APIs
Experience in LLMs quantitative analysis
Exposure to MLOps practices
Familiarity with version control systems (e.g. Git) and agile development methodologies

Preferred Qualifications

~ Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field
~3+ years experience writing production ready code 
~ Prior experience with AWS Cloud stack (SageMaker, EC2, Lambda, S3, RDS)


Benefits
~ Competitive salary
~ Remote working
~ Participation in our share option scheme
~ Pension enrolment 
~25 days holiday

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