Graduate AI & ML Engineer: Build Production-Ready Models

Graduate AI & ML Engineer: Build Production-Ready Models

Entry level 70000 - 90000 £ / year (est.) No working from home possible
Reply

At a Glance

  • Tasks: Design and develop machine learning processes for diverse client environments.
  • Company: Dynamic tech company based in Greater London with a vibrant work culture.
  • Benefits: Extensive training, career growth, and opportunities to work with leading brands.
  • Other info: Engaging environment with hands-on experience in cutting-edge projects.
  • Why this job: Kickstart your career in AI and ML while making a real impact.
  • Qualifications: Bachelor's degree in ICT/Computer Science and strong Python skills required.

The predicted salary is between 70000 - 90000 £ per year.

Reply is looking for a Graduate AI and Machine Learning Engineer based in Greater London. In this role, you will assist in designing and developing machine learning processes across various client environments. You'll manage the ML lifecycle and support the analysis of client requirements.

Ideal candidates will possess a Bachelor's degree in ICT/Computer Science, have strong Python skills, and a foundational understanding of machine learning concepts. Enjoy a vibrant work environment and opportunities for extensive training and involvement in projects with leading brands.

Graduate AI & ML Engineer: Build Production-Ready Models employer: Reply

At Reply, we pride ourselves on being an excellent employer, offering a vibrant work environment in Greater London where innovation thrives. Our commitment to employee growth is evident through extensive training programmes and the opportunity to work on exciting projects with leading brands, making it a rewarding place for aspiring AI and Machine Learning Engineers to develop their skills and advance their careers.

Reply

Contact Details:

Reply Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Graduate AI & ML Engineer: Build Production-Ready Models

Join Developer Communities

Get involved in online developer communities like GitHub or Stack Overflow. We can showcase our skills by contributing to open-source projects – it’s a great way to network, learn, and possibly catch the eye of a recruiter while doing something we love!

Attend Coding Meetups and Hackathons

Check out local coding meetups and hackathons. These events are fantastic for meeting other developers and potential employers, plus they're a great way to get some hands-on experience and showcase our problem-solving skills in real-time.

Set Up a Public Portfolio

We should create a public portfolio or GitHub repository showcasing our projects and code. This not only demonstrates our technical skills but also gives employers a peek into our creative process and problem-solving abilities.

Utilise University Career Services

If we're fresh out of uni, let's not forget about our university’s career services! They often have tailored resources and connections in the software development field. Plus, internships can lead to entry-level roles – a true win-win!

We think you need these skills to ace Graduate AI & ML Engineer: Build Production-Ready Models

Python
Problem-Solving Skills
SQL
Data Engineering
Data Pipeline Development
API Integration
Communication Skills

Some tips for your application 🫡

Show Off Your Coding Skills:As this is an entry-level role in software engineering development, make sure to include your coding projects. Whether it's a cool school project, a personal website, or even contributions to open-source, it all counts! Link to your GitHub or any platforms you've showcased your code on – we want to see what you've got!

Tailor Your CV to Highlight Relevant Skills:Make your CV work for you by focusing on the programming languages and frameworks you've learned. If you've dabbled in JavaScript, Python, or any specific frameworks, be sure to include those. Plus, showcasing any relevant coursework or certifications can really help us get a clearer picture of your skill set.

Craft a Motivating Cover Letter:Since you're applying for an entry-level position, your cover letter is your chance to shine. Tell us why you’re passionate about software engineering and what excites you about working with Reply. Highlight any internships or projects that shaped your interest in coding – it’s all about your motivation!

Use Your Network:Don't hesitate to mention any connections you might have to Reply in your application. If you know someone who works there or have attended any events they hosted, slip that into your cover letter. It shows your genuine interest and can give you that extra edge in your application!

How to prepare for a job interview at Reply

Know Your Code: Prepare for Technical Questions

For a role in software engineering, you can bet your Interviewer might throw some coding problems your way. Brush up on common algorithms and data structures, and practise coding on platforms like LeetCode or HackerRank. That way, you're ready to showcase your problem-solving skills confidently!

Portfolio Power: Show Off Your Projects

As an entry-level candidate, your portfolio is your secret weapon. Make sure you have a few solid projects on GitHub that demonstrate your coding skills and understanding of software development processes. Be ready to walk through your code and explain your thought process during the interview.

Familiarise Yourself with Agile and Development Tools

Understanding Agile methodologies can really set you apart from other entry-level candidates. Get familiar with tools like JIRA or Trello, and be prepared to discuss how you've used them in your projects or studies. This shows you're not just a coder but also a team player.

Demonstrate Your Learning Mindset

Since you're applying for an entry-level position, it's important to show your eagerness to learn. Be ready to discuss how you’ve tackled challenges in your studies or projects, what new skills you’ve picked up recently, and how you plan to continue developing in this fast-paced field.