Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy advanced ML models for innovative customer solutions.
- Company: Dynamic tech company in London with a startup-like culture.
- Benefits: Diverse environment, career growth opportunities, and collaborative teams.
- Why this job: Join a team where your ideas can shape groundbreaking AI projects.
- Qualifications: Bachelor’s in Computer Science and experience in modern programming languages.
- Other info: Perfect entry-level role for aspiring tech innovators.
The predicted salary is between 28800 - 48000 £ per year.
A technology company in London is looking for a Machine Learning Engineer to develop and deploy advanced ML models and pipelines for customer solutions. As an entry-level role, you are immersed in a startup-like environment where innovation thrives. You will solve complex problems, collaborate with cross-functional teams, and contribute to groundbreaking projects.
Ideal candidates have a Bachelor’s degree in Computer Science and experience in modern programming languages. The company values diversity and offers career growth opportunities.
GenAI ML Engineer — Build Scalable AI Solutions in London employer: Beam Projects
Contact Detail:
Beam Projects Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI ML Engineer — Build Scalable AI Solutions in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML models and pipelines. This is your chance to demonstrate your problem-solving abilities and innovative mindset.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML interview questions and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications from passionate candidates who are eager to contribute to groundbreaking projects. It’s a great way to get noticed!
We think you need these skills to ace GenAI ML Engineer — Build Scalable AI Solutions in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the GenAI ML Engineer role. We want to see how your background in Computer Science and programming languages can contribute to our innovative projects.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to showcase your passion for machine learning and how you can solve complex problems. Let us know why you're excited about working in a startup-like environment with us.
Showcase Your Projects: If you've worked on any ML projects, whether in school or on your own, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions of your work that demonstrate your capabilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our team in London!
How to prepare for a job interview at Beam Projects
✨Know Your ML Basics
Brush up on your machine learning fundamentals. Be ready to discuss algorithms, model evaluation metrics, and the latest trends in AI. This will show that you’re not just a coder but someone who understands the theory behind the technology.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, whether during your studies or in personal time. Highlight your role, the challenges you faced, and how you overcame them. This gives the interviewer insight into your problem-solving skills and creativity.
✨Collaborative Mindset
Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with others. Share examples of how you’ve communicated complex ideas to non-technical team members or how you’ve contributed to group projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects, culture, and future goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Plus, it can spark a great conversation!
