Front-end Engineer in City of London

We are seeking a talented and experienced Front‑end Engineer to join our team. This engineer will contribute to the further development of Arena, a web‑based software platform for reinforcement learning training and RLOps.

Responsibilities

• Develop scalable and reliable infrastructure to support a reinforcement learning model training, deployment, and management platform.
• Collaborate with the team to understand requirements, and design and develop the user‑facing interface of the platform.
• Work closely with designers and engineers to implement the visual design elements within brand guidelines.
• Ensure that the platform works consistently across various web browsers and devices, including testing and resolving compatibility issues.
• Optimize the platform for speed and efficiency, minimizing load times and ensuring a smooth user experience.
• Ensure that web content is accessible to all users by adhering to Accessibility standards like Web Content Accessibility Guidelines.
• Work closely with users to identify and rectify user‑facing bugs and issues to constantly improve usability of the platform.
• Keep thorough documentation of code and development processes to help maintain and troubleshoot the platform.

Requirements

• Bachelor\’s degree or higher in Computer Science, Engineering, or a related field, or 3+ years of relevant industry experience.
• Solid understanding of HTML, CSS (Tailwind) and JavaScript/TypeScript, with hands‑on experience building platforms.
• Proficient with front‑end frameworks and libraries like ReactJS, Redux, GraphQL to streamline development and enhance user interactivity.
• Experience with integrating with various APIs (REST API or GraphQL using one of fetch, Redux, Relay, GraphQL) to fetch and display data from external sources.
• Familiarity with tools for monitoring and improving platform page performance metrics, including page load times and resource optimisation.
• Deep understanding of software engineering principles and best practices.
• Strong problem‑solving and communication skills, and the ability to work independently as well as in a team environment.

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.
• Bike2Work scheme.

Join the fast‑growing AgileRL team and play a key role in the development of cutting‑edge reinforcement learning tooling and infrastructure.