ML / MLOps Research Engineer

Fuzzy Labs is a tech consultancy delivering machine learning projects for clients, including secure government customers. The ML Research Engineer works across ML research, production machine learning, and MLOps, collaborating with clients and teams to design and implement solutions throughout the project lifecycle.

Responsibilities:

• Working closely with clients to understand their needs, build strong relationships, and bring them along on the journey. This includes presenting back our solutions in demos and participating in workshops and training sessions
• Designing and implementing features to a high standard of engineering, including good documentation and automated testing
• Contributing to sprint planning sessions, retrospectives and code reviews, working with your team lead to plan your project work
• Ensuring our high engineering standards are maintained and our clients are delighted
• Staying up-to-date with a fast-moving industry, embracing new tools and frameworks, and sharing our learnings with the team
• As well as client work, we also set aside time to work on R&D projects and produce content in the form of blogs and videos. These projects are how we keep on top of a fast-moving technology landscape, in addition to being our greatest source of marketing. You’ll have the opportunity to craft your own voice in the MLOps community through R&D content