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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
Make sure to showcase your passion for AI and machine learning during any interviews or networking opportunities. Share personal projects or experiences that demonstrate your enthusiasm and understanding of the field.
✨Tip Number 2
Familiarise yourself with the latest trends and technologies in machine learning. Being able to discuss recent advancements or tools can set you apart from other candidates and show your commitment to continuous learning.
✨Tip Number 3
Connect with current employees or alumni from the company on LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which you can leverage during your application process.
✨Tip Number 4
Prepare to discuss your technical skills in Python, SQL, and data analysis during interviews. Be ready to explain how you've applied these skills in practical scenarios, as this will demonstrate your readiness for the role.
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. Mention why you are excited about this specific role and how your background aligns with the company's goals. Be sure to express your enthusiasm for the opportunity.
Showcase Relevant Projects: If you've worked on any machine learning projects, whether in university or independently, include them in your application. Briefly describe the project, your role, and the technologies used, especially focusing on Python and data analysis.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial in the tech industry.
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 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 coding problem, so practice common algorithms and data structures beforehand.
✨Demonstrate Problem-Solving Abilities
Employers love candidates who can think critically and solve problems. Be ready to discuss how you've approached challenges in your studies or previous projects, particularly those related to mathematics and data analysis.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
