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- Tasks: Develop cutting-edge machine learning algorithms and contribute to innovative research projects.
- Company: Leading technology firm in Crawley with a focus on innovation.
- Benefits: Competitive salary, flexible medical plans, and a strong learning culture.
- Why this job: Join a dynamic team and shape the future of technology with your expertise.
- Qualifications: PhD or MSc in a relevant field and proficiency in Python and machine learning.
- Other info: Exciting graduate programme with opportunities for professional growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading technology firm in Crawley is seeking a Machine Learning Engineer/Researcher for their 2026 Graduate Programme. The role focuses on developing machine learning algorithms and requires a PhD or MSc in a relevant field.
Candidates should be proficient in Python and machine learning, and will enjoy a competitive salary and attractive benefits, including flexible medical plans and a learning culture.
ML Engineer & Researcher — Graduate Programme in Crawley employer: Viridiengroup
Contact Detail:
Viridiengroup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer & Researcher — Graduate Programme in Crawley
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work at the company. A friendly chat can give us insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Ace the interview prep! Research common ML interview questions and practice coding challenges. We can even set up mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace ML Engineer & Researcher — Graduate Programme in Crawley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences, especially in Python and machine learning. We want to see how your background aligns with the role, so don’t be shy about showcasing your projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any machine learning projects, make sure to mention them! Whether it's a university project or something you did on your own, we want to see what you've been up to. Include links if possible, as we love to check out your work!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll find all the info you need right there. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Viridiengroup
✨Know Your Algorithms
Brush up on your machine learning algorithms and be ready to discuss them in detail. We recommend preparing examples of projects where you've implemented these algorithms, as this will show your practical experience and understanding.
✨Python Proficiency is Key
Since the role requires proficiency in Python, make sure you can demonstrate your coding skills. We suggest practising common coding challenges or even building a small project that showcases your abilities in Python related to machine learning.
✨Research the Company
Familiarise yourself with the leading technology firm’s recent projects and innovations in machine learning. We believe that showing genuine interest in their work can set you apart from other candidates and help you ask insightful questions during the interview.
✨Prepare for Behavioural Questions
Expect behavioural questions that assess your teamwork and problem-solving skills. We advise using the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewers to understand your thought process and contributions.
