At a Glance
- Tasks: Design and train reinforcement learning agents to solve real-world problems.
- Company: DMCG Global, a leader in AI and physical systems innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team at the forefront of AI advancements.
- Why this job: Make a tangible impact on sustainability through cutting-edge AI technology.
- Qualifications: Strong experience in deep reinforcement learning and proficiency in Python.
The predicted salary is between 80000 - 100000 £ per year.
DMCG Global is seeking an Applied Scientist based in Greater London, UK, to work at the cutting edge of AI and real physical systems. You will design and train reinforcement learning agents and turn complex telemetry data into actionable ML problems.
The ideal candidate has strong experience in deep reinforcement learning and is comfortable with Python and modern ML tools. Join us to help shape how AI interacts with the physical world, making a real impact on sustainability.
Real-World RL Scientist: From Data to On-Site Control in London employer: DMCG Global
DMCG Global is an exceptional employer that fosters a dynamic and innovative work culture, where employees are encouraged to push the boundaries of AI technology in real-world applications. Located in Greater London, we offer competitive benefits, a commitment to sustainability, and ample opportunities for professional growth, making it an ideal place for those looking to make a meaningful impact in the field of machine learning and reinforcement learning.
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We think this is how you could land Real-World RL Scientist: From Data to On-Site Control in London
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We think you need these skills to ace Real-World RL Scientist: From Data to On-Site Control in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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