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- Tasks: Join us as a Graduate Machine Learning Engineer, working on AI/ML techniques and data analysis.
- Company: Nichols Digital Ltd is an innovative AI company based in Edinburgh.
- Benefits: Enjoy a competitive salary of £30,000 with one day remote work each week.
- Why this job: Be part of a cutting-edge team, enhancing products with AI while developing your skills.
- Qualifications: Ideal candidates should have knowledge in machine learning, Python, SQL, and data analysis.
- Other info: Start date is flexible between July and August; perfect for recent graduates!
The predicted salary is between 21600 - 36000 £ per year.
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This range is provided by Nichols Digital Ltd. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
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
Graduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Passion & Enthusiasm , Mathematics, Data Analysis, Python, Git, SQL, BI Tools.
An exciting AI company in Edinburgh are looking for several passionate & enthusiastic Graduate Machine Learning Engineer\’s 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.
- Contribute to automation of data analysis workflows to streamline reporting and validation processes
Graduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Mathematics, Data Analysis, Python, Git, SQL, BI Tools.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Technology, Information and Internet and Software Development
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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, Git, SQL, and BI tools, make sure you can confidently discuss your experience with these technologies during any interviews.
✨Tip Number 2
Prepare to showcase your analytical skills by having examples ready of how you've conducted exploratory data analysis in the past. Being able to discuss specific projects where you identified trends or anomalies will demonstrate your practical understanding of the role.
✨Tip Number 3
Engage with the AI and machine learning community online. Join forums, attend webinars, or participate in hackathons. This not only helps you stay updated but also expands your network, which could lead to valuable referrals for the position.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since the role involves communicating findings to both technical and non-technical audiences, being able to articulate your insights clearly will set you apart from other candidates.
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 understanding of AI/ML techniques.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and AI. Mention specific projects or experiences that align with the responsibilities listed in the job description, such as conducting exploratory data analysis or creating data-driven reports.
Showcase Technical Skills: In your application, clearly list your technical skills, especially those mentioned in the job description like Git, SQL, and BI tools. Provide examples of how you've used these skills in practical scenarios, whether in academic projects or internships.
Highlight Soft Skills: Don't forget to mention your soft skills, such as teamwork, communication, and problem-solving abilities. These are crucial for collaborating on projects and presenting findings to both technical and non-technical audiences.
How to prepare for a job interview at Nichols Digital Ltd
✨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 personal projects or experiences that demonstrate your passion, as this role requires a genuine interest in the field.
✨Prepare for Technical Questions
Expect questions related to Python, SQL, and data analysis techniques. Brush up on your knowledge of machine learning algorithms and be ready to discuss how you would apply them to real-world problems.
✨Demonstrate Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or case studies during the interview. Show how you approach problem-solving, from exploratory data analysis to model performance assessment, highlighting your analytical thinking.
✨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 findings effectively.
