Machine Learning Engineer

• You have strong hands-on experience in ML or LLM experimentation using structured evaluation frameworks.
• You are highly proficient in Python, including asynchronous programming, multithreading and writing maintainable code
• You have experience deploying ML workloads to cloud platforms (Azure, AWS or GCP), with familiarity in CI/CD and containerisation (Docker/ Podman).
• You have applied knowledge of statistics and experimental design and can translate findings into actionable recommendations. You are comfortable managing fastmoving workstreams and operating autonomously.
• You are motivated by ownership and excited by the opportunity to shape AI research platforms that directly impact client engagements.

No matter where you may be in your career or personal life, our benefits are designed to add value and support, recognising and rewarding you fairly for your contributions.

We offer a range of benefits including empowered flexibility and a working week split between office, home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.