AI Engineer at fast-growing AI startup in London
AI Engineer at fast-growing AI startup

AI Engineer at fast-growing AI startup in London

London Full-Time 30000 - 50000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and develop cutting-edge AI solutions that solve real-world problems.
  • Company: Fast-growing AI startup backed by top-tier VCs.
  • Benefits: Competitive salary, dynamic work environment, and significant career growth.
  • Why this job: Shape the future of innovative AI products and influence product strategy.
  • Qualifications: Strong background in machine learning and proficiency in Python.
  • Other info: Collaborate with a dynamic team and work with advanced technologies.

The predicted salary is between 30000 - 50000 £ per year.

Join a dynamic team as an AI Engineer, developing cutting-edge artificial intelligence solutions. You will be instrumental in designing, implementing, and deploying machine learning models that drive product innovation and solve complex real-world problems. This role offers the chance to significantly impact the trajectory of an evolving platform, working with advanced technologies to build intelligent systems.

Location: London, UK

Why this role is remarkable:

  • Opportunity to work on and shape the future of innovative AI products from the ground up.
  • Join a well‐funded startup backed by top‐tier VCs, poised for significant market growth.
  • Directly influence product strategy and user experience through advanced AI development.

What you will do:

  • Design, develop, and implement scalable machine learning models and algorithms.
  • Deploy and maintain AI systems in production environments, ensuring high performance and reliability.
  • Collaborate with product and engineering teams to integrate AI capabilities into core features.

The ideal candidate:

  • Strong background in machine learning, deep learning, and artificial intelligence principles.
  • Proficiency in Python and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch).
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices.

How to Apply:

To apply for this job, speak to Jack, our AI recruiter.

  • Step 1. Visit our website
  • Step 2. Click 'Speak with Jack'.
  • Step 3. Login with your LinkedIn profile.
  • Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions.
  • Step 5. If the hiring manager would like to meet you, Jack will make the introduction.

AI Engineer at fast-growing AI startup in London employer: Jack & Jill/External Ats

Join a fast-growing AI startup in London, where innovation meets opportunity. As an AI Engineer, you'll be part of a vibrant work culture that encourages creativity and collaboration, with ample opportunities for professional growth and development. Benefit from working in a well-funded environment backed by top-tier VCs, allowing you to directly influence the future of cutting-edge AI products and solutions.
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Contact Detail:

Jack & Jill/External Ats Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer at fast-growing AI startup in London

Tip Number 1

Make sure to showcase your skills in machine learning and AI during your chat with Jack. He’s there to help you shine, so don’t hold back on discussing your projects and experiences!

Tip Number 2

Prepare some questions for Jack about the company and the role. This shows your interest and helps you get a better feel for whether it’s the right fit for you.

Tip Number 3

Don’t forget to highlight your experience with cloud platforms and MLOps practices. These are key areas for the role, and we want to make sure you stand out!

Tip Number 4

After your chat with Jack, follow up if you haven’t heard back. A little nudge can go a long way in keeping you top of mind for the hiring manager!

We think you need these skills to ace AI Engineer at fast-growing AI startup in London

Machine Learning
Deep Learning
Artificial Intelligence Principles
Python
TensorFlow
PyTorch
Cloud Platforms (AWS, GCP, Azure)
MLOps Practices
Scalable Model Development
AI System Deployment
Collaboration with Product Teams
Performance Optimisation
Reliability Engineering

Some tips for your application 🫡

Show Off Your Skills: When you're writing your application, make sure to highlight your experience with machine learning and AI. We want to see how you've used Python and frameworks like TensorFlow or PyTorch in real projects. Be specific about your achievements!

Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the AI Engineer role. Mention how your background aligns with the job description and what excites you about working at a fast-growing startup like ours.

Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points for your skills and experiences to make them stand out!

Apply Through Our Website: Remember, the best way to apply is through our website! Just follow the steps to chat with Jack. He’s here to help you shine and get noticed by the hiring manager. Don’t miss out on this opportunity!

How to prepare for a job interview at Jack & Jill/External Ats

Know Your Tech Inside Out

Make sure you brush up on your knowledge of machine learning, deep learning, and AI principles. Be ready to discuss specific algorithms and frameworks like TensorFlow and PyTorch, as well as your experience with cloud platforms. This will show that you're not just familiar with the tech, but that you can really dive deep into it.

Showcase Your Problem-Solving Skills

Prepare to discuss real-world problems you've solved using AI. Think of examples where your work made a significant impact. This is your chance to demonstrate how you can contribute to product innovation and user experience at the startup.

Collaborate Like a Pro

Since you'll be working closely with product and engineering teams, be ready to talk about your collaboration experiences. Highlight any projects where you integrated AI capabilities into core features, and how you communicated with different stakeholders to achieve success.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the company’s vision for AI products, their approach to MLOps, or how they measure the success of their AI systems. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.

AI Engineer at fast-growing AI startup in London
Jack & Jill/External Ats
Location: London
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