DevOps Engineer
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At AgileRL, we are on a mission to accelerate reinforcement learning for building superhuman artificial intelligence systems.
We believe that reinforcement learning will form a part of every sophisticated AI system of the future. It already impacts the world we live in, from its use in creating LLMs with reasoning capabilities, to enabling autonomous vehicles to make decisions. Reinforcement learning enables AI models to plan and achieve objectives, but currently very few companies or individuals have the resources to leverage this powerful machine learning paradigm.
AgileRL offers Arena, an enterprise-grade reinforcement learning operations (RLOps) platform and a state-of-the-art open-source framework to eliminate these barriers to entry. Our framework has already achieved 10x faster training and hyperparameter optimisation than leading RL libraries. Arena, built on top of our open-source framework, is focused on four key areas - simulation, training, deployment and monitoring.
We work closely with companies across industries including finance, defence, and technology to deliver best-in-class autonomous solutions. We are looking for talented engineers to join the team and develop the systems and tools that will enable the next wave of impactful AI.
As a member of the AgileRL team, you will have the opportunity to be at the forefront of reinforcement learning innovation. We value curiosity, creativity, and a passion for pushing boundaries. Together, we will build not only state-of-the-art software but also a culture of excellence, collaboration, and continuous learning.
We are seeking a talented and experienced DevOps Engineer to join our team and contribute to the development and operation of Arena, our first-of-its-kind RLOps platform. As a DevOps Engineer, you will be responsible for designing, implementing, and maintaining the cloud infrastructure, CI/CD pipelines, and deployment systems that enable businesses to build and deploy reinforcement learning models at scale.
Responsibilities:
- Design and maintain robust, scalable cloud infrastructure to support high-performance reinforcement learning workloads and distributed training environments
- Build and optimise CI/CD pipelines for both our open-source framework and Arena enterprise platform, ensuring reliable deployments and automated testing
- Implement and manage containerisation strategies using Docker and Kubernetes for ML model training, deployment, and orchestration
Requirements:
- Bachelor's degree or higher in Computer Science, Engineering, or a related field, or 3+ years of relevant DevOps/infrastructure experience
- Strong experience with cloud platforms (AWS, GCP, Azure) and their ML/AI services, with expertise in managing compute-intensive workloads
Compensation:
- Competitive salary + significant stock options.
- 30 days of holiday, plus bank holidays, per year.
- Flexible working from home and 6-month remote working policies.
- Enhanced parental leave.
- Learning budget of £500 per calendar year for books, training courses and conferences.
- Company pension scheme.
- Regular team socials and quarterly all-company parties.
- Cycle-to-work scheme.
Join the fast-growing AgileRL team and play a key role in the development of cutting-edge reinforcement learning tooling and infrastructure.
Learn more about AgileRL at https://agilerl.com