Artificial Intelligence Engineer

6 days ago

South East England, United Kingdom Cubiq Recruitment Full time

Job Title: Reinforcement Learning Engineer

About the Opportunity:

  • We are partnering with a dynamic startup making waves in the AI-driven solutions space, backed by a globally renowned corporation.
  • The company is poised for significant growth, tackling industry challenges through cutting-edge computer vision and AI solutions.

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.

You will 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:

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

Why Choose This Role?

  • Be part of a high-growth startup backed by one of the world's leading companies, ensuring stability while driving innovation.
  • Competitive salary (£80,000 - £110,000) 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.

What You'll 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: Bachelor's in Computer Science or similar, with preference for Master's/Ph.D. in ML or AI.

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