AI Engineer

The Rolewe
Warrington, UK
6 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
£143,000.0 - £169,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Python (Programming Language) Machine Learning Primus Data Logging Multi-Agent Systems Machine Learning Operations Virtual Agents Databricks

Job description

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 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 candidate. Key

Requirements

ResponsibilitiesRefine and finalise the design of a multi-agent solution on DatabricksLead hands-on delivery - building, testing and deploying agentic AI workflowsPair-program and hand-hold the client’s engineering team through implementationInstruct and guide client engineers, then review and feedback on their workApply strong governance practices using Unity Catalog and AI Gateway Essential Skills & ExperienceProven experience building AI agents on Databricks - multi-agent solutions strongly preferredHands-on MLflow experience, including model registryUnity Catalog and AI Gateway (or equivalent governance tooling)Strong general Databricks knowledge - compute management, logging and monitoringStrong Python and PySparkExcellent consulting skills - communication, people leadership and technical advisory, with the confidence to lead a client’s team through a technical journey DesirableMachine learning / MLOps experience - useful if the engagement extends into its ML-focused second phaseAPI management experience What Makes a Great FitA genuine consulting mindset - confident bringing a client’s team along with you, not just delivering in isolationManchester-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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:24 min

Building client-facing AI agents for engineering teams

Alfonso Graziano Alfonso Graziano · Coffee With Developers

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

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Exposing sensitive information through partial search logs

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Augmenting junior and principal engineering roles with AI

Neel Sundaresan Neel Sundaresan +1 · World Congress 2026 Europe

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Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

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Discovering incidents using logs, metrics, and traces

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