Senior AI Engineer

MCS Group | Your Specialist Recruitment Consultancy provided pay range

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Location: Belfast or Remote (UK-based)
Type: Permanent | Hybrid or Fully Remote (UK)

Senior AI Engineer

Location: Belfast or Remote (UK-based)
Type: Permanent | Hybrid or Fully Remote (UK)

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.

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 product ionising LLM‑based features and GenAI workflows.
• Using frameworks like Lang Chain
  , Py Torch , and Tensor Flow to bring models into production.
• Working with AWS Bedrock, Sage Maker
  , 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.

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 Sage Maker, Bedrock, Vertex AI, etc.).
• Familiarity with Lang Chain 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.

• 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

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.

To apply for this role, submit your CV via the application form provided. Alternatively, to speak confidently about this opportunity, please contact Jack Tyrrell via j.tyrrells.

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.

• Seniority level: Mid‑Senior level

• Employment type: Full‑time

• Job function: Information Technology
• Industries: Technology, Information and Media