פורסם ב: הנדסה ב- בריטניה | פורסם: |
I am recruiting a passionate and experienced Data Scientist / Deep Learning Engineer to join my client and play a pivotal role in developing cutting-edge image recognition models.
You will possess a strong understanding of machine learning principles, deep learning frameworks, and image processing techniques, collaborating with project engineering teams to gather and analyze data, design and implement machine learning models, and evaluate their performance.
The role is offered with a salary of £50 - £65K and would suit someone with an MSc or PhD in Data Science, Machine Learning or a related field, or who has used the skill sets, and around 3 -4 further years of industry experience.
They are scaling up rapidly and need capable, creative, passionate to learn, and motivated individuals to be a part of their team.
Please note that this is not a remote working role. There may be some hybrid flexibility in time, but not for the first 6 months.
Unfortunately we cannot offer sponsorship at this time.
In the first six months you will:
* Analyse the data from DAS sensor hardware.
* Apply signal processing techniques to reduce noise and improve algorithm performance.
* Process and visualise large datasets (suitable for technical discussions).
* Implement first-principle and machine learning based methods (training and validation results).
* Support the backend team in deploying to AWS.
Required Skills
* Degree in Computer Science, Engineering, Mathematics or equivalent experience.
* Master’s or PhD’s in Data Science or other computational science.
* Python programming experience with focus on data manipulation and analysis.
* Working with large datasets performing clustering, classification, and regression machine learning or deep learning (computer vision).
* 1+ years using cloud services (AWS preferably).
* Excellent documentation and data presentation skills
* A desire to work in a fast-paced startup environment.
Nice to Have
* Experience solving problems using Digital Signal Processing (FFT, signal interpolation digital filters)