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Senior Machine Learning Engineer

Polaron

London

On-site

GBP 85,000 - 130,000

Full time

15 days ago

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Job summary

Join a forward-thinking company as a Senior ML Engineer, where you'll have the autonomy to influence product development in a dynamic team. Work on cutting-edge AI solutions for materials engineering, optimising algorithms, and adapting innovative machine learning techniques. This role offers a unique opportunity to contribute to a sustainable future through advanced materials. Enjoy a competitive salary, flexible working policies, and a vibrant office culture in East London. If you're passionate about AI and materials science, this is the perfect place to grow your career.

Benefits

25 holidays a year + 2 festive leave days
Competitive equity in a fast growing company
Gym membership
Flexible working policies
Free barista coffee

Qualifications

  • 2+ years experience in production-level Python ML applications.
  • Strong technical communication skills and problem-solving enthusiasm.

Responsibilities

  • Optimise existing algorithms for material characterisation and optimisation.
  • Adapt machine learning methods for material science applications.

Skills

Python
Machine Learning
Computer Vision
Problem Solving
Technical Communication

Education

Degree in Computer Science, Engineering, AI, Math, Physics
PhD in STEM subject

Tools

PyTorch
TensorFlow
AWS
Azure
GitHub
Docker
Kubernetes
Terraform
PostgreSQL

Job description

Polaron is a spin-out from Imperial College London, founded by Dr Isaac Squires, Dr Steve Kench, and Dr Sam Cooper. The founders were united by their desire to harness engineering, artificial intelligence, and materials science to build the materials of the future.

Our mission is to become the world leaders at the interface between AI and materials. Through relentless dedication to innovation and pragmatism, we aim to support the next generation of advanced materials critical to building a more sustainable future.

You'll be joining our team of nine as a senior ML engineer. This role grants you a significant degree of autonomy, and influence over the development and direction of the platform and product.

We're building a SaaS product that will allow materials engineers to leverage cutting-edge AI in their work. Some of the things on our roadmap you'll work on include:

  • Optimising efficiency and robustness of Polaron's existing algorithms for material characterisation, exploration and optimisation;
  • Adapting cutting edge machine learning methods for material science applications.

We're looking for exceptional people who can contribute to a fantastic company culture and help us grow Polaron, so if you feel like you could excel in this role, please get in touch!

Requirements

  • A degree in Computer Science, Engineering, AI, Math, Physics, or similar - or equivalent work experience (PhD in STEM subject desirable)
  • 2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow
  • Proficiency with version control and cloud computing e.g. AWS, Azure
  • Enthusiasm for complex problem solving
  • Strong technical communication skills, including the ability to clearly disseminate new ideas and ML concepts to the rest of the team
Technologies We Use
  • Machine Learning: Python/PyTorch
  • CI/CD: Github, Github Actions.
  • Frontend/Backend: TypeScript with React/Next.js and Express/Prisma.
  • Infrastructure: Docker, Kubernetes, Terraform (AWS).
  • Database: PostgreSQL.

Salary £85,000-130,000 depending on experience.

Benefits

  • 25 holidays a year + 2 "festive leave" days
  • Competitive equity in a fast growing company
  • Gym membership
  • Flexible working policies
  • East London office @ Shoreditch Exchange Hoxton https://www.withoneder.com/shoreditch-exchange/
  • Free barista coffee!
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