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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
Web
Task
mlops platform

Features

client collaboration

ai for good

model productionization

bespoke solutions

open source mlops

Job Opportunities

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Fuzzy Labs

Senior MLOps Engineer

Fuzzy Labs provides open-source MLOps solutions to productionize machine learning models, focusing on speed, collaboration and positive impact.

engineeringhybridManchester, GBfull-time

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

Show more details

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

Show more details

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