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- Tasks: Dive into AI and ML, analysing data and enhancing products with cutting-edge techniques.
- Company: Join an innovative AI company in Edinburgh, shaping the future of technology.
- Benefits: Enjoy a competitive salary, one day remote work, and a vibrant office culture.
- Why this job: Perfect for tech enthusiasts eager to make an impact in AI and machine learning.
- Qualifications: Recent graduates with a passion for AI, Python, SQL, and data analysis are encouraged to apply.
- Other info: Ideal start date is between July and August; EU work permit required.
The predicted salary is between 24000 - 42000 £ 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 have a START DATE between July & August.
We are seeking passionate and enthusiastic Graduate Machine Learning Engineers for an exciting AI company in Edinburgh. The role is suitable for recent graduates with interests in Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools. The start date is ideally between the end of June and the end of August.
Responsibilities include:
- Possessing foundational knowledge across various machine learning techniques suitable for diverse data types.
- Supporting the implementation and application of cutting-edge AI/ML techniques to enhance multiple product lines.
- Conducting exploratory data analysis to identify trends and anomalies.
- Assisting in Proof of Concept (PoC) projects by analyzing data outputs and assessing model performance.
- Creating clear reports and visualizations to communicate findings to technical and non-technical audiences.
- Contributing to automation of data analysis workflows for streamlined reporting and validation.
Graduate Machine Learning Engineer - £30,000 employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Machine Learning Engineer - £30,000
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI. Follow relevant blogs, podcasts, and online courses to stay updated on new techniques and tools that are being used in the industry.
✨Tip Number 2
Engage with the machine learning community by attending meetups, webinars, or conferences. Networking with professionals in the field can provide valuable insights and potentially lead to job opportunities.
✨Tip Number 3
Work on personal projects or contribute to open-source projects that showcase your skills in Python, data analysis, and machine learning. Having a portfolio of practical work can significantly boost your chances during interviews.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and machine learning problems. Websites like LeetCode or HackerRank can help you sharpen your skills and get comfortable with the types of questions you might face.
We think you need these skills to ace Graduate Machine Learning Engineer - £30,000
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to machine learning, data analysis, and programming languages like Python. Emphasise any projects or coursework that demonstrate your understanding of AI and ML techniques.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning. Mention specific projects or experiences that align with the responsibilities listed in the job description, and explain why you are excited about this opportunity.
Showcase Technical Skills: In your application, clearly outline your proficiency in tools and technologies mentioned in the job description, such as SQL, Git, and BI Tools. Providing examples of how you've used these skills in practical scenarios can strengthen your application.
Highlight Soft Skills: Don't forget to mention soft skills that are important for the role, such as communication and teamwork. Since the position involves creating reports for both technical and non-technical audiences, demonstrating your ability to convey complex information simply is key.
How to prepare for a job interview at JR United Kingdom
✨Show Your Passion for AI and Machine Learning
Make sure to express your enthusiasm for artificial intelligence and machine learning during the interview. Share any relevant projects or coursework that demonstrate your interest and understanding of these fields.
✨Prepare for Technical Questions
Expect questions related to machine learning techniques, Python, SQL, and data analysis. Brush up on your knowledge and be ready to discuss how you've applied these skills in practical scenarios.
✨Demonstrate Your Problem-Solving Skills
Be prepared to tackle hypothetical problems or case studies during the interview. Show your thought process and how you approach problem-solving, especially in relation to data analysis and model performance.
✨Communicate Clearly and Effectively
Since you'll need to create reports and visualisations for both technical and non-technical audiences, practice explaining complex concepts in simple terms. This will showcase your ability to communicate effectively in the role.
