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- Tasks: Support groundbreaking research in particle physics through data science and AI projects.
- Company: Join a leading organisation at the forefront of scientific innovation.
- Benefits: Gain hands-on experience, mentorship, and access to cutting-edge technology.
- Why this job: Make a real impact in science while kickstarting your career in machine learning.
- Qualifications: Curiosity, analytical skills, and a passion for software and science.
- Other info: Engage in a vibrant community with opportunities for personal and professional growth.
The predicted salary is between 800 - 1400 £ per month.
Join us in our Particle Physics department supporting world-class research and innovation. A unique opportunity to contribute to real projects in data science, AI, and high-performance computing. If you’re curious, analytical, and ready to build a career at the intersection of software and science, we’d love to hear from you.
Key responsibilities:
- Communicate and work with fellow team members on a daily and weekly basis.
- Take an active role in meetings.
- Present progress in slides to update team members (small group) at regular intervals, weekly or bi-weekly, both onsite and occasionally in conference calls.
- Analyse data in order to design machine learning algorithms.
- Write documentation/technical notes to document the design of the algorithm.
- Use a variety of tools and technologies and coding language(s) used by the team to develop the machine learning algorithms.
- Show initiative especially regarding learning new things.
- Participate in the wider department and STFC apprentice training programme.
- Work independently at times and ask questions if unsure.
- Take responsibility and aim to deliver work of a high standard.
Machine Learning Engineer Apprentice in England employer: Best Apprenticeships
Contact Detail:
Best Apprenticeships Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer Apprentice in England
✨Tip Number 1
Network like a pro! Reach out to current employees in the Particle Physics department on LinkedIn or at events. A friendly chat can give you insights and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your machine learning algorithms. This hands-on evidence of your abilities can really impress during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with presenting your work. Whether it’s in slides or a casual chat, being able to communicate your ideas clearly is key in our field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Machine Learning Engineer Apprentice in England
Some tips for your application 🫡
Show Your Curiosity: We want to see your passion for learning! In your application, highlight any projects or experiences that showcase your curiosity and analytical skills. This is your chance to show us how you think and approach problems.
Tailor Your Application: Make sure to customise your CV and cover letter to reflect the key responsibilities mentioned in the job description. We love seeing how your skills align with what we’re looking for, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and structure your thoughts logically. We appreciate a well-organised application that makes it easy for us to see your potential.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Best Apprenticeships
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss how you've applied these in past projects or studies. Familiarity with the tools and technologies mentioned in the job description will definitely give you an edge.
✨Show Your Curiosity
Since they’re looking for someone curious and analytical, prepare some thoughtful questions about their current projects or challenges. This shows that you’re genuinely interested in the role and eager to learn more about the field.
✨Practice Your Presentation Skills
You’ll need to present progress updates, so practice explaining complex ideas clearly and concisely. Use slides if possible to simulate the experience, and get comfortable with discussing your work in a way that’s engaging and easy to understand.
✨Be Ready to Collaborate
Highlight your teamwork skills during the interview. Share examples of how you’ve successfully worked with others in the past, especially in a technical setting. They want someone who can communicate effectively and contribute positively to the team dynamic.
