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Applied Machine Learning Engineer
Title: Applied Machine Learning Engineer
Category: IT/Software Development
Job type: Permanent
Job status: Full Time
Salary: £45,000.00 - £80,000.00
Salary per: annum
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Xihelm is developing the first viable automated handwork robot for glasshouse vegetables, a revenue opportunity of $13.2B. We are currently developing technology to harvest the main tomato varieties, using our own AI computer vision and robotics platform. You’ll be working with an impressive team, currently expanding from 17 employees, including several PhD researchers from world-renowned universities, and a CEO who worked at Google for 5 years and studied at Stanford. We are looking to add a motivated Applied Machine Learning Engineer to our impressive team.

We've got real challenges to solve. Working as part of a team, you will look at problems like crop damage and disease incidence, identifying and implementing sensible algorithmic models, and validating those models in the lab and the field. It's a great opportunity to learn more about cutting-edge robotics too.

This is an exceptional chance to join at the start and help define our culture. You’ll need to be technically credible - and nothing says credibility like shipped code.

We’re looking for impressive people. Think you can implement Faster R-CNN on a Commodore 64 in the time most people eat their lunch? Come talk to us.


Identifying the most efficient modelling approaches for the problems at hand Implement scalable, end-to-end applied statistical and machine learning models that provide real solutions to real problems, using Python. Communicate clearly and concisely with the whole team Quickly prototype working models with existing, new, augmented and artificial datasets If essential, extend our AI models and datasets using latest techniques, frameworks, and neural networks Requirements

Minimum qualificationsBSc. degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, an equivalent numerical discipline, or undeniable equivalent practical experience creating and applying successful models to real-life problems and data.Preferred qualificationsRelevant MSc or PhDSkillsWe make use of advanced deep AI Computer Vision, robotics, autonomous vehicles and Machine Learning technologies, so experience there is a major advantage. Similarly, our work is driven by statistics-based research, so project experience in real-life research or analytics would help enormously.

Must haveExtensive experience generating successful Applied Statistical / Machine Learning solutions to real-world problems Strong python skills with a drive to write clean and efficient code, including mastery of mathematical libraries such as numpy, scipy, pandas, sklearn, etc Worked in hypothesis driven research or analytics (academic or commercial) Strong mathematical background with emphasis on Linear Algebra and Statistics Experience identifying, implementing, training, and validating neural network computer vision models using standard deep learning frameworks (preferably Tensorflow/PyTorch), especially in the fine-tuning of pre-trained networks Linux and Git (or other source code management tool) Strong motivational skills and creative technical thinking Clear communication skills, both written and verbal Github profile or source code repository you’re proud to share Should haveExperience working with 3D point cloud data Experience in robotics Fundamental understanding of ROS A history of peer-reviewed publication, project blog or website An impressive Kaggle record Experience with Docker, AWS/GCloud, SQL, SQLAlchemy Benefits

Training & Development Catered lunches, well-stocked snacks, Friday afternoon drinks whilst in the office 25 working days holiday Matched pension Private health, dental, life and income protection insurance Share options Monthly team events out (previously did paintball, BBQ, cinema …) Broadening your knowledge with regular tech talks Working with cool robotics in commercially useful applications Please note: Interviews are carried out on a rolling basis, as such we may terminate any interviews once a position is filled.

Also note: Xihelm does not agree to pay any fees or invoices, unless specifically agreed by Xihelm in writing. Please do not forward resumes or CVs - Xihelm is not responsible for any fees related to unsolicited resumes or CVs.
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