AI Engineer

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 Essential Skills & Experience 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 PySpark Excellent consulting skills - communication, people leadership and technical advisory, with the confidence to lead a client’s team through a technical journey Desirable Machine learning / MLOps experience - useful if the engagement extends into its ML-focused second phase API management experience 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 How to ApplyIf this sounds like you, we’d love to hear from you. Please get in touch with Tom Fielding at Primus Connect to apply or find out more.

Job DescriptionAI Engineer (Agentic AI / Databricks) Outside IR35 Contract - Databricks Specialist Contract length: 10 weeks initially, 3 day a week engagement with a strong likelihood of extensionDay rate: £550 - £650/day Outside IR35 (dependent on experience)Start date: ASAP - early OctoberLocation: Manchester - Hybrid About the RoleWe’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