Hybrid Applied AI Engineer — Open Source MLOps

Fuzzy Labs Limited; Manchester; Hybride; GBP 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

25 days holiday rising to 30

Healthcare cash plan

£500 annual development budget

Equity option scheme

Hybrid working in Manchester office

Cycle to Work Scheme

Paid time off for charity and Voluntee

Résumé du poste

Fuzzy Labs Limited, a Manchester-based tech consultancy, seeks engineers to productionise machine learning using Open Source MLOps. You’ll work across prototyping to scalable production ML systems for diverse clients, with a culture that values open source, learning, and impact.

You’ll collaborate with clients and teams, develop high-quality features, and contribute to R&D and content in the ML space. Hybrid in Manchester with security clearance for sensitive projects.

Qualifications

• Undergraduate CS/math degree or relevant postgraduate degree.
• Passion for coding, ML, and open source.
• Proven production ML software experience in Python.
• Experience with AWS/GCP/Azure and DevOps practices.
• Experience delivering software via Agile.
• Fluency with Git, Unix/Linux, Docker, and open-source MLOps tools.
• Broad knowledge of ML applications and tools.

Responsabilités

• Collaborate with team leads and customers to design and implement high-quality ML solutions.
• Develop features with good documentation and automated tests.
• Participate in sprint planning, retrospectives, and code reviews.
• Ensure high engineering standards and client satisfaction.
• Stay up-to-date with fast-moving industry and share learnings.

Connaissances

Python

ML system design

Git & Unix

Docker

Cloud platforms

Agile

Formation

Bachelor's degree in computer science or mathematics

Postgraduate degree

Outils

Git

Docker

Unix/Linux

MLOps tools

Description du poste

Fuzzy Labs Limited, a Manchester-based tech consultancy, seeks engineers to productionise machine learning using Open Source MLOps. You’ll work across prototyping to scalable production ML systems for diverse clients, with a culture that values open source, learning, and impact.

You’ll collaborate with clients and teams, develop high-quality features, and contribute to R&D and content in the ML space. Hybrid in Manchester with security clearance for sensitive projects.