Senior AI Engineer (Remote - UK)

Senior AI Engineer

Location: Belfast or Remote (UK-based)

Type: Permanent | Hybrid or Fully Remote (UK)

About the Opportunity

If you're the kind of engineer who loves turning cutting-edge AI into real, working features that people actually use - this will be a role worth looking at.

You'll be joining a global technology company whose platform helps major manufacturers design and build products smarter and faster. Their technology simulates real-world production before anything is made - giving customers data-driven insights on cost, efficiency, and design.

Now, the focus is shifting to the next big leap: embedding AI and Generative AI directly into that platform. That's where you come in.

What You'll Be Doing

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.

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.

What You'll Bring

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:

• Around 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.

Why This Role?

• 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

How They Work

The engineering hub is based in Belfast, but the team works flexibly - whether that's in-office collaboration or remote work from anywhere in the UK. What matters most is communication, ownership, and a shared passion for using AI to solve real-world problems.

How to Apply

To apply for this role, submit your CV via the application form provided. Alternatively, to speak in absolute confidence about this opportunity, please contact Jack Tyrrell via j.tyrrell@mcsgroup.jobs

Disclaimer

If you have a disability which means you require assistance at any stage of the recruitment process, please contact us directly to discuss. We are committed to providing equality of opportunity to all.

Please note, we are receiving an exceptionally high number of applications at present and will be unable to shortlist candidates who are not meeting the specific requirements for this role. Due to the high volume of applications, we may be unable to provide individual feedback. We thank you in advance for your understanding.