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- Tasks: Unlock community knowledge using machine learning and AI technologies.
- Company: Join a forward-thinking IT services company with a focus on innovation.
- Benefits: Competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by applying your skills in a dynamic tech environment.
- Qualifications: Experience in machine learning and a passion for technology.
- Other info: Exciting projects and a collaborative team await you!
The predicted salary is between 43200 - 72000 £ per year.
Seniority level: Mid-Senior level
Employment type: Contract
Job function: Information Technology
Industries: IT Services and IT Consulting
Technologies: Mongo/Atlas as alternative implementation (we might land with S3 instead)
Locations:
- London, England, United Kingdom
- Greater London, England, United Kingdom
- London Area, United Kingdom
Machine Learning Engineer in London employer: N Consulting Global
Contact Detail:
N Consulting Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Machine Learning Engineers. 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 Mongo/Atlas or S3. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Let’s get you that dream job!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight relevant experience and skills that match the job description, especially in technologies like Mongo/Atlas or S3.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Projects: If you've worked on any cool projects related to machine learning, make sure to mention them! We love seeing practical applications of your skills, so don’t hold back.
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 the role without any hiccups!
How to prepare for a job interview at N Consulting Global
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Mongo/Atlas and S3. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you can demonstrate your approach to problem-solving, perhaps by discussing a specific project where you overcame obstacles using machine learning techniques.
✨Understand the Company’s Vision
Research the company’s mission and values. Be prepared to explain how your skills and experiences align with their goals, particularly in unlocking community knowledge through AI. This shows that you’re not just looking for any job, but that you genuinely want to contribute to their vision.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. This could be about their current projects, team dynamics, or future technology plans. It shows your interest in the role and helps you gauge if the company is the right fit for you.
