Fuzzy Labs
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About
Fuzzy Labs is a Manchester-based startup specializing in open-source MLOps solutions. They help clients productionize machine learning models, focusing on speed, collaboration, and positive impact. Their services encompass improving data scientist collaboration, speeding up model deployment, and implementing model monitoring solutions. They offer bespoke solutions using open-source tools and consider themselves an extension of their clients' in-house teams. The company emphasizes a strong open-source ethos and a positive work environment.
Platform
Task
Features
• client collaboration
• ai for good
• model productionization
• bespoke solutions
• open source mlops
Job Opportunities
Senior MLOps Engineer
Fuzzy Labs provides open-source MLOps solutions to productionize machine learning models, focusing on speed, collaboration and positive impact.
Benefits:
Competitive salary
Annual profit share scheme
Opportunity for share ownership scheme
Hardware budget for all employees, computer equipment for you to keep
Private healthcare cover
Education Requirements:
A degree in computer science, mathematics, or a science related subject
Experience Requirements:
At least 3 years of experience writing and deploying production-grade Python
Experience managing and mentoring software engineers
Other Requirements:
Able to commute to our central Manchester office 3 days per week
UK citizen
Due to the sensitive nature of some projects, you will be expected to undergo UK government security clearance after you start (at SC level)
Responsibilities:
Working directly with clients to understand their needs and recommend appropriate solutions
Owning the delivery of key features (planning, architecting, coding, delegating)
Ensuring our high engineering standards are maintained and our clients are delighted
Helping to run sprint planning sessions, retrospectives and code reviews
Staying up-to-date with a fast-moving industry, embracing new tools and frameworks
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Lead MLOps Engineer
Fuzzy Labs provides open-source MLOps solutions to productionize machine learning models, focusing on speed, collaboration and positive impact.
Benefits:
Competitive salary
25 days holiday rising to 30 with service
Equity option scheme
Hybrid working
Cycle to Work Scheme
Education Requirements:
A degree in computer science, mathematics, or a science related subject
Experience Requirements:
At least 3 years of experience writing and deploying production-grade Python
Experience managing and mentoring software engineers
Other Requirements:
Able to commute to our central Manchester office 3 days per week
UK citizen
Responsibilities:
Being hands-on with the technical delivery of the project
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
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