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Reinforcement Learning Engineer

Cubiq Recruitment
Posted 2 days ago, valid for 14 days
Location

London, Greater London EC4N 8AR, England

Salary

£100,000 per annum

Contract type

Full Time

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Sonic Summary

info
  • The position is for a Reinforcement Learning Engineer at a dynamic AI/DataOps startup with flexible hybrid working options across the UK and Europe.
  • Candidates should have at least 4 years of experience in reinforcement learning development, specifically with both model-based and model-free techniques.
  • The role involves designing and deploying RL algorithms, managing data pipelines, and collaborating with a team to deliver impactful AI solutions.
  • The company offers a competitive salary and benefits package, alongside a supportive work environment that encourages professional growth.
  • This is an exciting opportunity to join a pre-Series A company backed by a globally renowned corporation, focused on cutting-edge computer vision and AI innovations.

Reinforcement Learning Engineer (AI/DataOps)
Location: Flexible with hybrid options across the UK and Europe
Type: Full-time, Permanent

About the Opportunity
Were partnering with a dynamic, AI/DataOps startup making waves in the AI-driven solutions space, with strong backing from a globally renowned corporation. As a pre-Series A company with operations across Europe, theyre poised for significant growth, tackling industry challenges through cutting-edge computer vision and AI solutions. Theyre on a mission to launch a revolutionary product powered by state-of-the-art computer vision, with an emphasis on RL-based innovations, so they are looking for exceptionalReinforcement Learning Engineers to join their team.

Role Overview
This is an exciting opportunity for a seasoned Reinforcement Learning Engineer with a solid background in computer vision, data management, and AI-driven modelling. This role offers the chance to design and deploy pioneering RL algorithms that are not just theoretical but engineered for real-world applications. Youll take the lead in developing sophisticated reinforcement learning models from scratch, managing extensive data pipelines, and collaborating with a motivated team of data scientists and engineers to deliver impactful solutions.

Key Responsibilities

  • Algorithm Development: Design and implement advanced RL algorithms, covering model-based and model-free approaches (e.g., Q-learning, DQN, Policy Gradient, Actor-Critic).
  • Data Management: Oversee data preparation and integrity to support robust model training.
  • Model Training and Optimisation: Train, fine-tune, and optimise RL models, ensuring scalability and performance.
  • Simulation and Deployment: Design simulation environments for effective model training and deploy RL models in production for real-world impact.
  • Collaboration: Work cross-functionally to align AI solutions with business needs and communicate technical results to non-technical stakeholders.

Why Join?

  • Be part of a high-growth startup backed by one of the worlds leading companies, ensuring stability while driving innovation.
  • Competitive salary and benefits package.
  • A supportive, agile work environment where professional growth is actively encouraged.
  • Flexibility with remote and hybrid work options across the UK and Europe, allowing you to work alongside a passionate team from anywhere.

What Youll Need

  • Experience: 4+ years in RL development with both model-based and model-free techniques.
  • Technical Skills: Proficiency in Python, strong understanding of RL concepts, and familiarity with tools like OpenAI Gym, Stable Baselines, and RLLib.
  • Education: Bachelors in Computer Science or similar, with preference for Masters/Ph.D. in ML or AI.

Ready to be part of a pioneering AI company with global aspirations? Apply today to help shape the future of AI-driven solutions!

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In order to submit this application, a TotalJobs account will be created for you. As such, in addition to applying for this job, you will be signed up to all TotalJobs’ services as part of the process. By submitting this application, you agree to TotalJobs’ Terms and Conditions and acknowledge that your personal data will be transferred to TotalJobs and processed by them in accordance with their Privacy Policy.