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- Tasks: Join us as a Junior Machine Learning Engineer, working on exciting AI projects.
- Company: We're a dynamic AI company based in Edinburgh, pushing the boundaries of technology.
- Benefits: Enjoy one day of remote work per week and a competitive salary of £30,000.
- Why this job: Kickstart your career in AI with a supportive team and impactful projects.
- Qualifications: Ideal for graduates with a passion for machine learning, mathematics, and programming skills.
- Other info: Looking for candidates to start between late June and August.
The predicted salary is between 21600 - 36000 £ per year.
Edinburgh based role, with one day a week remote/home working and the rest in the office.
Paying up to £30,000 basic
IMPORTANT PLEASE READ - Aiming for candidates to start between the end of June and end of August - SUMMER START DATE
An exciting AI company in Edinburgh are looking for several passionate & enthusiastic Graduate Machine Learning Engineers to start between the end of June and end of August.
- Graduate Machine Learning Engineer
- Artificial Intelligence
- Machine Learning
- Passion & Enthusiasm
- Mathematics
- Data Analysis
- Python
- Git
- SQL
- BI Tools
Junior Machine Learning Engineer (Graduate) - £30,000 - Edinburgh employer: Nichols Digital Ltd
Contact Detail:
Nichols Digital Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Machine Learning Engineer (Graduate) - £30,000 - Edinburgh
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and artificial intelligence. Being able to discuss recent advancements or projects during your interview can show your passion and enthusiasm for the field.
✨Tip Number 2
Brush up on your Python skills, as it's a key requirement for this role. Consider working on small projects or contributing to open-source projects to demonstrate your coding abilities and practical experience.
✨Tip Number 3
Network with professionals in the AI and machine learning community. Attend local meetups or online webinars to connect with industry experts who might provide insights or even referrals for the position.
✨Tip Number 4
Prepare to discuss your understanding of data analysis and SQL. Be ready to explain how you've used these skills in your studies or projects, as they are crucial for the role and will set you apart from other candidates.
We think you need these skills to ace Junior Machine Learning Engineer (Graduate) - £30,000 - Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to machine learning, artificial intelligence, and data analysis. Include any projects or coursework that demonstrate your proficiency in Python, SQL, and BI tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning. Explain why you are excited about this role and how your background aligns with the company's goals. Be sure to mention your enthusiasm and willingness to learn.
Showcase Relevant Projects: If you've worked on any relevant projects, whether academic or personal, include them in your application. Describe your role, the technologies used, and the outcomes. This will help demonstrate your practical experience in the field.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Nichols Digital Ltd
✨Show Your Passion for AI
Make sure to express your enthusiasm for artificial intelligence and machine learning during the interview. Share any personal projects or experiences that demonstrate your interest in the field, as this will resonate well with the company's focus.
✨Brush Up on Your Technical Skills
Since the role requires knowledge of Python, SQL, and data analysis, be prepared to discuss your experience with these tools. You might even be asked to solve a technical problem, so practice coding challenges beforehand to boost your confidence.
✨Prepare Questions About the Company
Research the company and prepare thoughtful questions to ask during the interview. This shows that you are genuinely interested in their work and culture, and it can help you determine if it's the right fit for you.
✨Highlight Teamwork and Collaboration
As the role involves working in an office environment with some remote days, emphasise your ability to collaborate effectively with others. Share examples of past teamwork experiences, especially those related to projects in machine learning or data analysis.
