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AI Engineer

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Primus Connect
Full Time position
Listed on 2026-09-21
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 129000 - 185000 GBP Yearly GBP 129000.00 185000.00 YEAR
Job Description & How to Apply Below

AI Engineer (Agentic AI / Databricks) Outside IR35 Contract – Databricks Specialist

Contract length: 10 weeks initially, 3 day a week engagement with a strong likelihood of extension

Start date: ASAP – early October

Location: Manchester – Hybrid

About the Role

We're looking for an experienced AI Engineer to join a specialist Databricks delivery team on a high-profile agentic AI engagement. You'll sit alongside a Business Analyst, Solution Architect and Data Engineer, leading a well-established client through the deployment of a multi-agent AI solution built natively on Databricks.

This is a hands-on consulting role: refining an already-scoped solution design, building and pairing directly with the client's engineers, and coaching their team so they can confidently take the solution forward. There's a strong chance to extend into a second, machine-learning-focused phase of the engagement for the right candidate.

Key Responsibilities
  • Refine and finalise the design of a multi-agent solution on Databricks
  • Lead hands-on delivery – building, testing and deploying agentic AI workflows
  • Pair-program and hand-hold the client's engineering team through implementation
  • Instruct and guide client engineers, then review and feedback on their work
  • Apply strong governance practices using Unity Catalog and AI Gateway
  • Proven experience building AI agents on Databricks – multi-agent solutions strongly preferred
  • Hands-on MLflow experience, including model registry
  • Unity Catalog and AI Gateway (or equivalent governance tooling)
  • Strong general Databricks knowledge – compute management, logging and monitoring
  • Strong Python and Py Spark
  • Excellent consulting skills – communication, people leadership and technical advisory, with the confidence to lead a client's team through a technical journey
  • Machine learning / MLOps experience – useful if the engagement extends into its ML-focused second phase
What Makes a Great Fit
  • A genuine consulting mindset – confident bringing a client's team along with you, not just delivering in isolation
  • Manchester-based or a comfortable commute – travel and expenses are covered for on-site days
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