Machine Learning Engineer

3 weeks ago

London, United Kingdom SR2 Full time

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Fancy working for a genuine market-leading company doing some seriously innovative work with AI? Yes, yes you do.
This role has it all, endless L&D opportunities, a hugely talented ML team of 12 for you to learn from and share your knowledge with and a chance to work on cutting-edge and complex deep learning & computer vision projects, best of all you will be joining duringa super busy time, so you won't be short of challenges to keep you focussed beyond the honeymoon period.

This AI-powered technology system is used by only 2% of car manufacturers and retailers globally, this company has a market share of 1.4% That leaves 98% of the market untapped and with them already dominating the space, the future looks very exciting It'sprojected that by 2026-2028 the remaining 98% will be utilising this technology so it's all to play for The main barrier to their continued domination? Simply not being able to hire enough talented people to join the team. Make no mistake, they don't hirefor hiring's sake, the standard here is exceptional.
One thing I really love about this company is that they don't hire on talent alone, personality and a genuine desire to be the best MLE will determine your success through the interview process.
They're looking for an MLE who will be responsible for everything from building image data and labelling pipelines, monitoring, and setting up automated retraining pipelines using DevOps and MLOps best practices, to building and deploying bespoke computer visionML models.
If you're after a company that isn't reliant on funding, has a runway of projects covering the next 2-3 years and offers equity at a time of huge growth potential then this is the one for you. You will be required to travel to the South West once every threeweeks, but expenses are covered. ??

**Requirements**:

- Naturally, your Python skills need to be first class
- Experience with relevant DS/ML libraries such as NumPy, Pandas, PyTorch, Keras, Tensorflow
- Excellent grasp of AWS concepts and services
- Strong knowledge of MLOps & DevOps tooling such as Git, bash, UNIX & CI/CD pipelines
- Computer Vision experience isn't essential, but in reality, it's going to be a massive plus point

Goooooo

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