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AI Engineer - Up to £75K

MWEK Solutions DMCCBerkshire🇬🇧United KingdomPosted 10 Sept 2026

Why This Role Stands Out

Advance your career as an AI Engineer with MWEK Solutions DMCC, focusing on groundbreaking Generative AI and Machine Learning projects with significant impact. You'll thrive here if you possess strong Python and Java skills, extensive AI/ML experience, and a passion for innovation, all within a hybrid work environment offering a competitive salary up to £75K. This is an excellent opportunity to shape the future of enterprise AI and drive transformation.

Quick Overview

Salary
£70 - £75/hr
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Berkshire, United Kingdom
MicroservicesAWSMLOpsMachine LearningGenerative AIJavaPython

Job Description

AI Engineer

Location: Berkshire
Type: Permanent
Salary: £70-75K gross (incl. variable pay)
Clearance: SC Cleared or eligible

The Role
Join an Innovation Team building cutting-edge solutions with Generative AI, Machine Learning and Agentic AI. You'll design and deliver GenAI systems for real-world enterprise use cases, driving POCs and transformation initiatives from concept to production.

What You'll Do

  • Design and build GenAI solutions using LLMs, RAG and prompt engineering
  • Develop Agentic AI systems for automation and orchestration
  • Build and deploy ML models for business use cases
  • Work across AWS services including Bedrock, SageMaker, Lambda and ECS/EKS
  • Lead AI innovation and enterprise transformation projects
  • Collaborate cross-functionally and mentor other engineers

What We're Looking For

  • 7+ years' software engineering experience, with 2+ years hands-on in AI/ML and GenAI
  • Strong Python and Java skills
  • Experience with LangChain, LlamaIndex, CrewAI or similar frameworks
  • Knowledge of RAG, vector databases and semantic search
  • AWS expertise (Bedrock and SageMaker preferred)
  • Experience with APIs, microservices and cloud-native architecture

Nice to Have

  • AWS certifications (ML or Architect)
  • MLOps, CI/CD and Responsible AI experience
  • Exposure to multi-agent systems and AI governance

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