Machine Learning Engineer in London

nPlan

Workplace
Onsite
Hours
Full-Time
Internship
No
Share offer

Job Description

What you'll be doing:

- Designing and building new ML models based on our existing data
- Growing and maintaining our database of over 200M construction tasks
- Exploring our dataset to find insights from historical data
- Maintaining and developing our ML training pipeline
- Creating your own tools to automate processes
- Participating in setting the direction of the product
- Helping other team members through peer code reviews

What we'd like you to have:

- A PhD in Machine Learning, Deep Learning, Statistics, Mathematics, Physics or Computer Science, or equivalent research experience with proven publications in the field
- Strong knowledge of Python, including pandas, numpy, visualisation tools like matplotlib or ggplot, and jupyter notebooks
- Knowledge of at least one deep learning framework (such as Tensorflow, Theano, Caffe, Torch, PyTorch)
- Familiar working with Git in engineering teams
- A desire to build something that can completely revolutionise how someone goes about their job
- (bonus) contributions to relevant open source projects
- (bonus) knowledge of distributed programming
- (bonus) an understanding of document embeddings
- (bonus) experience in previous Machine Learning startups

Working at nPlan

- We’re a small, but rapidly expanding, team with support from leading VCs and advisors
- Your voice will always be heard. What you do or say counts, not who you are or where you're from
- We are an engineering-first company; We consider engineering quality of paramount value and will always look for the most rigorous solution to a problem
- We are convinced that everyone in the company should have the same opportunity. Your pay will only ever depend on your contribution to the company, and how well the company is doing

Benefits

- Remuneration package includes an equity component
- Minimum 29 days holiday, with no explicit limit
- Bupa health insurance
- Contributions towards health and wellbeing
- Flexible working hours
- Flexible working from home/remotely
- Visa sponsorship & contributions towards relocation costs


 

About nPlan

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