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Artificial Intelligence Engineer

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: Searchability®
Full Time position
Listed on 2026-05-31
Job specializations:
  • Engineering
    AI Engineer (Applied/Software), Data Science Manager
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
  • Hybrid working model with client-facing project exposure
  • Office in Manchester city centre
  • Leadership opportunity within a rapidly growing AI capability
KEY POINTS
  • Senior AI Engineering leadership role with hands‑on delivery
  • Opportunity to shape engineering standards and AI strategy
  • Client‑facing position with strong stakeholder engagement
  • Modern AI stack including Azure AI, Databricks, MLOps, and LLM technologies
ABOUT THE CLIENT

We’re supporting a well‑established, technology‑focused consultancy that is continuing to invest heavily in its AI and data capability. With a strong focus on innovation, engineering quality, and responsible AI delivery, they are looking to appoint an experienced AI Engineering Lead to help shape and scale their growing function.

THE ROLE

You’ll take ownership of leading and developing a high‑performing AI engineering function, helping shape technical standards, delivery quality, and engineering best practices across multiple projects.

This role offers a blend of strategic leadership, client engagement, and hands‑on technical delivery. You’ll work closely with senior stakeholders, architects, and engineering teams to design and deploy scalable AI solutions into production environments.

You’ll also play a key role in mentoring engineers, driving capability development, and evaluating emerging technologies across AI, machine learning, and LLM ecosystems. Alongside this, you’ll support workshops, solution design sessions, and technical decision‑making while ensuring solutions remain scalable, secure, and aligned to business outcomes.

THE BENEFITS
  • Opportunity to work on cutting‑edge AI and machine learning projects
  • Exposure to modern AI tooling, cloud platforms, and agentic technologies
  • Leadership role with clear progression opportunities
  • Collaborative environment with strong focus on learning and innovation
AI ENGINEERING LEAD ESSENTIAL SKILLS
  • Strong commercial experience delivering AI solutions into production
  • Experience with Azure AI, Azure ML, Databricks, Sage Maker, or similar cloud AI platforms
  • Strong understanding of MLOps, CI/CD, and infrastructure automation
  • Experience with LLMs, agentic frameworks, and modern AI tooling
  • Excellent stakeholder management and communication skills
  • Experience mentoring engineering teams and leading technical delivery
KEY SKILLS
  • AI Engineering Lead
  • Machine Learning
  • Artificial Intelligence
  • Python
  • Azure AI
  • Azure ML
  • Databricks
  • Sage Maker
  • Bedrock
  • MLOps
  • CI/CD
  • LLMs
  • Agentic AI
  • Cloud Engineering
  • AI Architecture
  • Machine Learning Engineering
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