About us

Fuzzy Labs are a Manchester based startup that helps our clients productionise machine learning through Open Source MLOps. We exist to help harness and channel the power of AI more quickly, to make positive change and use AI for good.

We are growing our team of engineers to help deliver an increasing number of client projects. You won’t need an existing MLOps background to apply for this role. You’ll learn as you go by immersing yourself in this exciting new field.

What we’re looking for

We’ve seen considerable growth over the past few years and this will continue as we build on our reputation as Open Source MLOps experts, while working with the community, and delivering solutions to our clients. The ideal candidate would be motivated to grow and progress in line with the company’s ambitions.

As well as being a great engineer, motivated by the chance to be at the forefront of MLOps adoption, you’ll also enjoy being part of a culture that values:

• Loving what we do: we are a team passionate about how tech can make lives better, it’s a hobby as well as a job 
• Just trying it: We love to develop new skills, solve new problems and thrive on a challenge, failure and experimentation is where innovation happens 
• Being greater than the sum of parts: we are a team and a community, that includes our customers, partners and the wider open source community
• Positive impact: AI is going to change the world. We are choosing to use it for good and leave a positive legacy.

A typical day

You’ll work within an engineering squad and take part in every stage of the project delivery lifecycle, including:

• Being hands-on with the technical delivery of the project. As a technical leader, you’ll be writing code (of course), while also setting the standard in terms of engineering quality for your colleagues.
• Working directly with clients to understand their needs and recommend appropriate solutions.
• Owning the delivery of client projects, from discovery to completion and handover.
• Leading sprint planning sessions, retrospectives and code reviews.
• Working as part of the team, sharing and reviewing ideas, mentoring and guiding team members through technology, architecture, and implementation details.
• Helping to grow the team by taking part in hiring and interviewing,
• Helping to write proposals for new clients, and participating in the technical side of the sales process.
• Supporting your team members’ personal development objectives within client projects,
• Staying up-to-date with a fast-moving industry, embracing new tools and frameworks.

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.

Skills and Experience

Our team is made up of a mix of backgrounds. We are looking for smart, curious people who are always expanding their knowledge, and exploring new and emerging technologies. If you get excited about keeping up with the newest large language models, or figuring out how to scale generative models in the cloud, then you’ll fit right in.

• Able to commute to our central Manchester office 3 days per week.
• A degree in computer science, mathematics, or a science related subject.
• A passion for coding, data science, and open source technologies.
• At least 3 years of experience writing and deploying production-grade Python.
• Experience managing and mentoring software engineers.
• Experience with cloud computing, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tools.
• Fluency in our core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE / editor of choice is welcome ;)
• Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential.
• Excellent communication skills; both in customer-facing and internal team communication.
• Knowledge of MLOps is not essential, but some awareness of this emerging space is good to have.

Benefits

By joining a small company you’ll have the chance to make a real impact on its future. There’s plenty of room for growth and we’ll work with you to help you realise your technical and personal ambitions because your success and the company’s success are one and the same.

• 25 days holiday rising to 30 with service.
• Equity option scheme, giving you a genuine stake in the business.
• Hybrid working.
• Cycle to Work Scheme.
• Location

We run an organised hybrid scheme. On Monday, Wednesday and Thursday we work in the office, and use these days for the type of activities where being present in person brings benefits; for example sprint planning, project scheduling, retrospectives, social lunches and one to ones.

Interested?

If you’d like to work with us, send us a CV to the email address below.

Please include a few words about yourself and what interests you about the role, and a link to your Github (or Bitbucket, etc). If you’re on Kaggle, or have a tech blog, cool side-project, or an Instagram for your cat, dog, etc, send us that too!