Senior MLOps & AI Engineer (Hybrid)

Fuzzy Labs Limited; Manchester; Híbrido; GBP 65.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

On-site gym

Healthcare cash plan

Enhanced family leave

Cycle to Work

Volunteer time

Company socials

Descripción de la vacante

Fuzzy Labs Limited in Manchester seeks an experienced ML/AI engineer to advance production ML systems and MLOps practices. You will collaborate with clients and internal teams to design scalable, reliable solutions while contributing to R&D and open‑source activities.

The role emphasizes hands‑on software development, cloud deployments, and strong collaboration across disciplines. You will work in a hybrid setup in Manchester, with three days in the office and two remote days, benefiting from

Formación

• An undergraduate degree in computer science, mathematics, or similar, or a relevant postgraduate degree.
• Passion for coding, machine learning, open source technologies and adopting best practices.
• Strong experience building production‑grade ML software in Python and deploying services.

Responsabilidades

• Collaborate with team leads and customers to design and implement high‑quality ML solutions.
• Build production‑grade ML software in Python and deploy services in cloud environments.
• Contribute to sprint planning, code reviews and design systems with your team.
• Stay up‑to‑date with ML tools and share learnings across the team.

Conocimientos

MLOps

Python

Docker

Cloud platforms

Git

Open source

DevOps

Agile

Team collaboration

Educación

Undergraduate degree in CS/Math or related

Herramientas

Unix/Linux

Docker

Open-source tools

Descripción del empleo

Fuzzy Labs Limited in Manchester seeks an experienced ML/AI engineer to advance production ML systems and MLOps practices. You will collaborate with clients and internal teams to design scalable, reliable solutions while contributing to R&D and open‑source activities.

The role emphasizes hands‑on software development, cloud deployments, and strong collaboration across disciplines. You will work in a hybrid setup in Manchester, with three days in the office and two remote days, benefiting from