Senior AI/ML Engineer - Reinforcement Learning

Placements24; Southampton; On-site; GBP 54,000 - 81,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Performance bonuses

Professional development

Job summary

Unknown AI Firm in Randburg, Gauteng seeks a Senior AI/ML Engineer specializing in reinforcement learning to design and deploy advanced RL solutions. You will build training simulations, evaluate agents, and collaborate with product teams to integrate AI capabilities across services.

The role emphasizes deep theoretical knowledge with practical deployment experience, mentoring, and ongoing research contributions in a dynamic, innovative setting.

Qualifications

• Master's or PhD in CS/AI/Robotics or related field.
• 5+ years of RL algorithm development experience.
• Strong Python and deep learning framework skills (TensorFlow, PyTorch).
• Experience with RL libraries such as Ray RLlib and Stable Baselines.
• Familiarity with simulation environments and parallel computing.

Responsibilities

• Design, implement, and optimize RL algorithms.
• Develop simulation environments to train RL agents.
• Collaborate with cross-functional teams to deploy RL solutions.
• Explore deep RL, multi-agent RL, and model-based RL topics.
• Ensure scalability, efficiency, and robustness of RL systems.
• Stay current with AI research and industry trends.
• Mentor junior engineers and share knowledge.
• Analyze experiments and provide actionable insights.
• Document research and project findings.

Skills

Reinforcement Learning

Python

Deep Learning

Ray RLlib

Mentoring

Education

Master's/PhD in CS/AI/Robotics

Tools

TensorFlow

PyTorch

Stable Baselines

Ray RLlib

Job description

About the Role

Our client, a pioneer in the field of AI & Emerging Technologies , is seeking a highly experienced Senior AI/ML Engineer with a specialized focus on Reinforcement Learning (RL). This critical role is based in our cutting-edge facility in Randburg, Gauteng . You will be at the forefront of developing intelligent agents and systems capable of learning and making optimal decisions in complex environments. The ideal candidate possesses a strong theoretical understanding of RL algorithms combined with practical experience in implementing and deploying them. This is an exceptional opportunity to contribute to groundbreaking research and development in a dynamic and innovative setting in Randburg . We foster a culture of continuous learning and technological advancement.

Key Responsibilities

• Design, implement, and optimize state-of-the‑art reinforcement learning algorithms.
• Develop simulation environments and frameworks for training and evaluating RL agents.
• Collaborate with cross‑functional teams to integrate RL solutions into various products and services.
• Conduct research into advanced RL topics, including deep RL, multi‑agent RL, and model‑based RL.
• Ensure the scalability, efficiency, and robustness of RL systems.
• Stay updated on the latest research and industry trends in reinforcement learning and AI.
• Mentor junior engineers and contribute to the team's technical expertise.
• Analyze experimental results and provide actionable insights for model improvement.
• Contribute to the documentation and knowledge sharing within the team.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
• Proven experience (5+ years) in developing and implementing reinforcement learning algorithms.
• Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch).
• Proficiency with RL libraries and tools (e.g., Ray RLLib, Stable Baselines).
• Solid understanding of machine learning, deep learning, and optimization techniques.
• Experience with simulation environments and parallel computing is a plus.
• Excellent analytical, problem‑solving, and critical thinking skills.
• Strong communication and collaboration skills, vital for working within our Randburg team.
• Ability to work independently and take initiative on complex projects.

Benefits

Our client offers a highly competitive salary, comprehensive health benefits, retirement savings options, and performance-driven bonuses. Opportunities for professional development, including attending leading AI conferences and pursuing further education, are actively supported. This hybrid role, based in Randburg, Gauteng , provides a dynamic work environment with flexibility. Join a team dedicated to advancing the frontiers of AI & Emerging Technologies .