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- Tasks: Join our team to develop cutting-edge software for uncrewed systems using machine learning.
- Company: SeeByte is a leader in software solutions for uncrewed systems, based in Edinburgh.
- Benefits: Enjoy hybrid working, competitive salary, pension scheme, and performance bonuses.
- Why this job: Be part of innovative projects that shape technology and make a real impact.
- Qualifications: Degree in Machine Learning/AI required; experience with TensorFlow, Python, or C++ preferred.
- Other info: Flexible full-time or part-time roles available in a supportive team environment.
The predicted salary is between 40000 - 45000 £ per year.
Location: Dean Village, Edinburgh (EH4), EH4
Hours / Days Of Work: Hybrid (60% of time in office) - Permanent, Full-time or Part-time
Job Type: Full-Time
Salary: £40,000 to £45,000 per annum (or pro-rata) + pension scheme and bonus
As a Machine Learning engineer at SeeByte, you can expect to play a key role in exciting and varied projects involving uncrewed systems, working as part of a team developing SeeByte’s software solutions for our clients. SeeByte will support you in gaining an understanding of our domain, services and customers as you become an integral part of the team.
You will take part in the development and tuning of models for object detection and classification using state of the art Deep Neural Networks. You will work with the ML team to develop Generative Adversarial Network systems to create realistic environmental simulations. You will be involved in defining and implementing new areas of technology and shaping SeeByte’s technology roadmap.
Experience And Qualifications:
- Graduated with a degree level or higher qualification which includes Machine Learning and Artificial Intelligence (deep neural networks).
- Have experience with modern Machine Learning techniques and libraries such as TensorFlow, pyTorch, scikit learn.
- Have experience of using C++ and/or Python.
- You will have strong numeracy and critical thinking skills.
- Hands-on commercial or academic experience in ML with demonstrated technical skills in one or more of the following areas: deep neural networks, pattern recognition or computer vision.
- Knowledge and experience of data mining/machine learning/deep learning algorithms.
- Management and processing of Big Data.
Application Process:
Apply via link below.
Machine Learning Engineer (SeeByte) employer: Investinwestlothian
Contact Detail:
Investinwestlothian Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (SeeByte)
✨Tip Number 1
Familiarise yourself with SeeByte's projects and technologies. Understanding their focus on uncrewed systems and the specific applications of machine learning in this field will help you tailor your conversations during interviews.
✨Tip Number 2
Network with current or former employees of SeeByte. Engaging with them on platforms like LinkedIn can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 3
Brush up on your technical skills, especially in TensorFlow, PyTorch, and C++. Being able to discuss your hands-on experience with these tools confidently will demonstrate your readiness for the role.
✨Tip Number 4
Prepare to discuss your experience with deep neural networks and object detection. Be ready to share specific examples of projects you've worked on, as this will showcase your practical knowledge and problem-solving abilities.
We think you need these skills to ace Machine Learning Engineer (SeeByte)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Machine Learning, particularly with deep neural networks and the libraries mentioned like TensorFlow and PyTorch. Use specific examples to demonstrate your skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for Machine Learning and your understanding of SeeByte's projects. Mention how your background aligns with their needs and express your enthusiasm for contributing to their technology roadmap.
Highlight Relevant Projects: If you have worked on any projects involving object detection, classification, or Generative Adversarial Networks, be sure to include these in your application. Detail your role and the impact of your contributions.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a technical role like this.
How to prepare for a job interview at Investinwestlothian
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Machine Learning techniques and libraries like TensorFlow and PyTorch. Bring examples of projects you've worked on, especially those involving deep neural networks or computer vision.
✨Understand SeeByte's Domain
Research SeeByte and their work with uncrewed systems. Familiarise yourself with their software solutions and how they apply machine learning in their projects. This will show your genuine interest in the company and its mission.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your critical thinking and problem-solving abilities. Practice explaining your thought process clearly, as this is crucial for a role that involves defining and implementing new technologies.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future technology roadmaps at SeeByte. This demonstrates your enthusiasm for the role and helps you gauge if the company is the right fit for you.
