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- Tasks: Develop and enhance autonomous coding agents using advanced machine learning techniques.
- Company: Exciting start-up focused on innovative AI solutions.
- Benefits: Flexible working hours, competitive salary, and opportunities for professional growth.
- Why this job: Join a pioneering team and shape the future of coding with AI.
- Qualifications: 5+ years in ML engineering or research, with expertise in reinforcement learning.
- Other info: Work part-time in London, collaborating with a passionate team.
The predicted salary is between 60000 - 80000 £ per year.
I'm working with a start-up who are building fully autonomous coding agents, their product can understand systems context and, with minimal human input, write code.
5+ years of industry or academic experience as a Machine Learning Engineer, Applied Scientist, or Research Scientist.
- Reinforcement Learning & Reasoning: Deep expertise in applying RL to complex tasks, agent-based modeling, or automated planning.
Research ML Engineer in London employer: Stealth
Contact Detail:
Stealth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the ML community, attend meetups, and connect with people on LinkedIn. 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 reinforcement learning and agent-based modelling. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common algorithms and be ready to discuss your past projects in detail. We all know that confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to get noticed and shows you’re genuinely interested in the role. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Research ML Engineer in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in the field. We want to see how your background as a Machine Learning Engineer or Research Scientist aligns with our needs, especially in reinforcement learning and reasoning.
Tailor Your Application: Don’t just send a generic CV! We love it when applicants tailor their applications to us. Mention specific projects or experiences that relate to building autonomous coding agents or applying RL to complex tasks.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your skills and experiences without wading through unnecessary fluff.
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. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Stealth
✨Know Your Reinforcement Learning
Make sure you brush up on your knowledge of reinforcement learning and its applications. Be ready to discuss specific projects where you've applied RL techniques, especially in complex tasks or agent-based modelling.
✨Showcase Your Coding Skills
Since the role involves building autonomous coding agents, be prepared to demonstrate your coding abilities. Bring examples of your work, and if possible, have a small project ready to showcase your skills in writing efficient code with minimal human input.
✨Understand the Company’s Vision
Research the start-up's mission and product thoroughly. Understand how their technology works and be ready to discuss how your experience aligns with their goals. This shows genuine interest and helps you connect your skills to their needs.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask during the interview. Inquire about their approach to automated planning or how they envision the future of their coding agents. This not only demonstrates your enthusiasm but also your critical thinking skills.