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- Tasks: Join us as a Graduate Machine Learning Engineer, tackling exciting AI projects and data analysis.
- Company: Be part of a cutting-edge AI company based in vibrant Edinburgh.
- Benefits: Enjoy a competitive salary, one day remote work, and a dynamic office environment.
- Why this job: This role offers hands-on experience in AI/ML, perfect for tech enthusiasts eager to make an impact.
- Qualifications: Ideal candidates should have a passion for machine learning, mathematics, and proficiency in Python and SQL.
- Other info: We're looking for enthusiastic graduates ready to start between July 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 have a START DATE between July & August.
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.
Responsibilities:
- Possess foundational knowledge across a diverse range of machine learning techniques suitable for various data shapes and types.
- Support the implementation and application of cutting-edge AI/ML techniques across multiple product lines, aiming to contribute effectively to product enhancement.
- Conduct exploratory data analysis to identify trends, patterns, and anomalies in datasets.
- Assist in the preparation and execution of Proof of Concept (PoC) projects by analysing data outputs and assessing model performance.
- Create clear, data-driven reports and visualisations to communicate findings from AI/ML models to technical and non-technical audiences.
Graduate Machine Learning Engineer - £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 Graduate Machine Learning Engineer - £30,000 (Edinburgh)
✨Tip Number 1
Familiarise yourself with the latest machine learning techniques and tools. Since the role requires knowledge in Python, SQL, and BI tools, make sure you can demonstrate your proficiency in these areas during discussions.
✨Tip Number 2
Engage with the AI and machine learning community online. Join forums, attend webinars, or participate in hackathons to showcase your passion and enthusiasm for the field, which is highly valued by employers.
✨Tip Number 3
Prepare to discuss your experience with exploratory data analysis. Be ready to share specific examples of how you've identified trends or patterns in datasets, as this will be crucial for the role.
✨Tip Number 4
Practice explaining complex machine learning concepts in simple terms. Since you'll need to communicate findings to both technical and non-technical audiences, being able to break down your insights will set you apart.
We think you need these skills to ace Graduate Machine Learning Engineer - £30,000 (Edinburgh)
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 passion and enthusiasm for AI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific machine learning techniques you are familiar with and how they relate to the responsibilities outlined in the job description.
Showcase Your Projects: If you have completed any relevant projects, include them in your application. Describe your role, the technologies used, and the outcomes. This will help demonstrate your practical experience and understanding of machine learning concepts.
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 and ML
Make sure to express your enthusiasm for artificial intelligence and machine learning during the interview. Share any personal projects or experiences that demonstrate your passion, as this role requires a genuine interest in the field.
✨Brush Up on Technical Skills
Since the role involves Python, SQL, and data analysis, be prepared to discuss your proficiency in these areas. You might even be asked to solve a coding problem or explain a project where you used these skills, so practice beforehand.
✨Prepare for Data Analysis Questions
Expect questions related to exploratory data analysis and how you identify trends and patterns in datasets. Be ready to discuss specific techniques you've used and how they contributed to your findings in previous projects.
✨Communicate Clearly
As 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, which is crucial for this role.
