Lead RL Engineer — Build Autonomous QA Agents in London
Lead RL Engineer — Build Autonomous QA Agents

Lead RL Engineer — Build Autonomous QA Agents in London

London Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of autonomous QA agents using reinforcement learning.
  • Company: Cutting-edge AI technology firm in Greater London.
  • Benefits: Significant equity and the chance to shape the future of software development.
  • Why this job: Drive innovation and efficiency in software testing with real autonomy.
  • Qualifications: 5+ years in machine learning, expertise in reinforcement learning, and Python proficiency.

The predicted salary is between 48000 - 72000 £ per year.

A cutting-edge AI technology firm in Greater London is seeking a Senior AI Engineer to lead reinforcement learning initiatives. You will develop autonomous agents that improve software testing processes, driving innovation and efficiency.

Ideal candidates have over 5 years of experience in machine learning, a deep understanding of reinforcement learning, and proficiency in Python. This role offers significant equity and the opportunity to shape the future of software development with real autonomy.

Lead RL Engineer — Build Autonomous QA Agents in London employer: Duku AI

Join a pioneering AI technology firm in Greater London, where innovation meets opportunity. As a Lead RL Engineer, you'll thrive in a collaborative work culture that values creativity and autonomy, while enjoying significant equity and ample opportunities for professional growth. This is not just a job; it's a chance to shape the future of software development in a dynamic and supportive environment.
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Contact Detail:

Duku AI Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead RL Engineer — Build Autonomous QA Agents in London

Tip Number 1

Network like a pro! Reach out to folks in the AI and machine learning community, especially those who work with reinforcement learning. Attend meetups or webinars to connect with potential employers and show them your passion for innovation.

Tip Number 2

Showcase your skills! Create a portfolio that highlights your projects related to autonomous agents and reinforcement learning. This will give you an edge and demonstrate your hands-on experience to hiring managers.

Tip Number 3

Prepare for technical interviews by brushing up on your Python skills and reinforcement learning concepts. Practice coding challenges and be ready to discuss your past projects in detail, as this will help us see how you can drive innovation in our team.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.

We think you need these skills to ace Lead RL Engineer — Build Autonomous QA Agents in London

Reinforcement Learning
Machine Learning
Python
Software Testing
Autonomous Agents Development
Innovation
Efficiency Improvement
Leadership

Some tips for your application 🫡

Show Off Your Experience: Make sure to highlight your 5+ years of experience in machine learning and any specific projects related to reinforcement learning. We want to see how you've tackled challenges and driven innovation in your past roles.

Be Specific About Your Skills: When mentioning your proficiency in Python, give examples of how you've used it in your work. We love seeing concrete instances where your skills have made a difference, especially in developing autonomous agents.

Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. We’re looking for candidates who understand our mission and can articulate how they fit into our vision for the future of software development.

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 don’t miss out on any important updates about the role. Plus, we love seeing applications come through our own channels!

How to prepare for a job interview at Duku AI

Know Your Reinforcement Learning Inside Out

Make sure you brush up on your reinforcement learning concepts and algorithms. Be prepared to discuss your past projects and how you've applied RL techniques to solve real-world problems. This will show your depth of knowledge and experience in the field.

Showcase Your Python Proficiency

Since proficiency in Python is a must, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your approach to coding challenges. Practising common algorithms and data structures in Python can give you an edge.

Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving abilities. Think about how you would approach developing autonomous agents for software testing. Having a structured thought process will impress the interviewers and show your strategic thinking.

Express Your Vision for Innovation

This role is all about driving innovation, so be ready to share your ideas on how to improve software testing processes with autonomous agents. Discussing your vision for the future of AI in this space will demonstrate your passion and commitment to shaping the industry.

Lead RL Engineer — Build Autonomous QA Agents in London
Duku AI
Location: London

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