Applied AI Engineer — Production‑Grade AI & MLOps

AI Startups UK

Manchester

Hybrid

GBP 75,000 - 110,000

Full time

13 days ago

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Benefits offered by this job

25 days holiday rising to 30
Healthcare cash plan
Equity option scheme
Hybrid working in Manchester office
Personal development budget

Job summary

Fuzzy Labs, a Manchester-based tech consultancy, is seeking engineers who can grow with the company in applied AI and MLOps. You will combine software engineering with hands-on customer problem solving to turn ambiguous AI opportunities into production systems.

You will work near clients, design scalable AI solutions, and contribute to a fast-moving technology landscape while maintaining high engineering standards and robust documentation.

Qualifications

  • Degree in CS/Math or related field; postgraduate degree accepted.
  • Proven Python development experience for production systems.
  • Experience with ML/AI systems, including LLM-based workloads.
  • Cloud computing experience (AWS, GCP, Azure) and DevOps practices.
  • Experience delivering software using agile methodologies.

Responsibilities

  • Collaborate with teams to design and implement production AI solutions.
  • Work closely with customers, shaping problems and delivering demos.
  • Build secure, reliable services and maintainable code with good docs and tests.
  • Develop with modern AI tooling: LLMs, embeddings, model serving, data pipelines.
  • Participate in sprint planning, retros and code reviews with your team.
  • Stay current with AI tech and share learnings with the team.

Skills

Python
Machine Learning
LLM Apps
Cloud Platforms
Agile
Git
Unix/Linux
Docker
Open Source

Education

Bachelor's degree in Computer Science or Mathematics or related field

Tools

Docker
Git
Unix/Linux

Job description

Fuzzy Labs, a Manchester-based tech consultancy, is seeking engineers who can grow with the company in applied AI and MLOps. You will combine software engineering with hands-on customer problem solving to turn ambiguous AI opportunities into production systems.

You will work near clients, design scalable AI solutions, and contribute to a fast-moving technology landscape while maintaining high engineering standards and robust documentation.

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