Senior AI Engineer

MCS Group
Belfast, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
£95,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Cloud Computing Continuous Integration Data Structures Python (Programming Language) Machine Learning Tensorflow Azure Machine Learning Pytorch Large Language Models Machine Learning Operations

Job description

You’ll work alongside product and engineering teams to bring these ideas to life, helping to shape both the technical direction and the AI strategy. Expect to spend your time on:

  • Building and productionising LLM-based features and GenAI workflows.
  • Using frameworks like LangChain, PyTorch, and TensorFlow to bring models into production.
  • Working with AWS Bedrock, SageMaker, or GCP Vertex AI to deliver scalable cloud-based systems.
  • Implementing strong MLOps and LLMOps practices - from CI/CD and model monitoring to cost and performance optimisation.
  • Partnering with Data Engineers to ensure the pipelines and data structures feeding the models are robust and scalable.
  • Keeping an eye on what’s next - new GenAI frameworks, model safety, and emerging best practices - and sharing that insight with your peers.

Requirements

We’re looking for an engineer who’s comfortable getting stuck into all layers of AI delivery - from model design to deployment. You’ll likely have:

  • About 7 years’ experience as a Software Engineer or Machine Learning Engineer.
  • A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products.
  • Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.).
  • Familiarity with LangChain or similar orchestration frameworks.
  • A solid understanding of MLOps and how to take models from concept to production.
  • A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring others when needed.
  • Curiosity, experimentation, and a practical streak - someone who likes building things that work.

Benefits & conditions

  • You’ll have genuine influence in shaping how AI gets built into a global product used by major industry players.
  • You’ll work with modern tech - cloud-first, AI-ready, and focused on delivering applied, not theoretical, intelligence.
  • You’ll join a team that’s small enough to move fast but part of a company with real global scale.
  • Flexible hybrid setup with UK remote options for the right person.
  • Up to 95k base salary

About the company

This range is provided by MCS Group Your Specialist Recruitment Consultancy. Your actual pay will be based on your skills and experience - talk with your recruiter to learn more., This is a hands-on, impact-heavy engineering role. You’ll design, build, and deploy AI-powered capabilities that make a genuine difference to how users interact with the platform - things like intelligent assistants, automated insights, and adaptive recommendations.

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