Hybrid ML Engineer — Rapid Growth & Impact
Hybrid ML Engineer — Rapid Growth & Impact

Hybrid ML Engineer — Rapid Growth & Impact

Full-Time 40000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop machine learning workflows and contribute to intelligent systems in a hybrid environment.
  • Company: High-growth AI startup in London with a focus on innovation.
  • Benefits: Competitive salary starting from £40k, exposure to cloud technologies, and rapid career growth.
  • Why this job: Make a real impact on critical infrastructure projects while working with advanced AI techniques.
  • Qualifications: Relevant degree and strong Python skills required.

The predicted salary is between 40000 - 60000 £ per year.

A high-growth AI startup in London is seeking a Junior Machine Learning Engineer to develop machine learning workflows and contribute to intelligent systems. You will work in a hybrid environment, gaining exposure to cloud technologies and advanced AI techniques.

The ideal candidate will have a relevant degree and strong Python skills, with a competitive salary from £40k. This role offers rapid career growth and the chance to make an impact on critical infrastructure projects.

Hybrid ML Engineer — Rapid Growth & Impact employer: Intellect Group

Join a dynamic AI startup in London that prioritises innovation and employee development. With a hybrid work model, you'll enjoy flexibility while collaborating with a passionate team dedicated to pushing the boundaries of machine learning. The company offers competitive salaries, rapid career advancement opportunities, and the chance to contribute to impactful projects that shape the future of technology.
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Contact Detail:

Intellect Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Hybrid ML Engineer — Rapid Growth & Impact

Tip Number 1

Network like a pro! Reach out to people in the industry on LinkedIn or attend local meetups. 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 machine learning projects. This could be anything from personal projects to contributions to open-source. It’s a great way to demonstrate your Python prowess and problem-solving abilities.

Tip Number 3

Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice explaining your thought process clearly, as communication is key in a hybrid environment where collaboration is essential.

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for passionate individuals ready to make an impact. Plus, it gives you a better chance of being noticed by our hiring team.

We think you need these skills to ace Hybrid ML Engineer — Rapid Growth & Impact

Machine Learning
Python
Cloud Technologies
AI Techniques
Workflow Development
Analytical Skills
Problem-Solving Skills
Team Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that align with the role of a Junior Machine Learning Engineer. We want to see your Python prowess and any projects you've worked on that showcase your understanding of machine learning workflows.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about working with us at StudySmarter and how you can contribute to our mission. Be genuine and let your passion for AI and machine learning come through.

Showcase Your Projects: If you've got any personal or academic projects related to machine learning, don’t hold back! Include links or descriptions in your application. We love seeing practical applications of your skills and how you tackle real-world problems.

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. Plus, it makes the process smoother for both of us!

How to prepare for a job interview at Intellect Group

Know Your Python Inside Out

Since strong Python skills are a must for this role, make sure you brush up on your coding knowledge. Be prepared to discuss your previous projects and how you've used Python in machine learning workflows. Practising coding challenges can also help you feel more confident.

Familiarise Yourself with Cloud Technologies

As the job involves exposure to cloud technologies, do some research on popular platforms like AWS, Google Cloud, or Azure. Understanding how these services integrate with machine learning can give you an edge during the interview. Maybe even mention a project where you utilised cloud services!

Show Your Passion for AI

This is a high-growth AI startup, so demonstrating your enthusiasm for artificial intelligence is key. Share any personal projects, online courses, or relevant experiences that showcase your commitment to the field. This will help you stand out as someone who is genuinely interested in making an impact.

Prepare Questions About Career Growth

Since the role offers rapid career growth, come prepared with questions about development opportunities within the company. This shows that you're not just looking for a job, but are also invested in your future and eager to contribute to critical infrastructure projects.

Hybrid ML Engineer — Rapid Growth & Impact
Intellect Group

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