Senior AI Engineer - Greenfield project!

MCS Group; Belfast; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading tech company in Belfast is seeking a Senior AI Engineer to develop and deploy AI/ML solutions in a collaborative environment. You'll work on greenfield projects, shaping the AI vision while improving efficiency in manufacturing. The ideal candidate will have a strong background in AI engineering and experience with cloud technologies. Competitive salary DOE and hybrid flexibility offered.

Benefits

Work From Home

Qualifications

• Strong background in AI/ML engineering and data engineering principles.
• Proven experience building and deploying GenAI applications into production.
• Hands-on experience with LLM tooling (e.g. LangChain).
• Cloud experience with AWS or GCP Vertex AI.
• Collaborative mindset - able to bridge between data, product, and engineering teams.

Responsibilities

• Designing and deploying AI/ML solutions - from traditional models to GenAI applications.
• Building LLM-based pipelines using LangChain and related tooling.
• Embedding AI-driven features and automation into cloud-based products.
• Collaborating with product, data, and engineering teams to make data AI-ready.
• Improving customer ROI tenfold.

Skills

AI Engineer

Senior AI Engineer

Data Engineer

ML Engineer

Machine Learning

Tools

AWS SageMaker

Bedrock

TensorFlow

PyTorch

GCP Vertex AI

LangChain

Job description

Overview

Senior AI Engineer | Shape Greenfield AI Capabilities in a Global Platform

MCS Group is delighted to be partnering exclusively with an established global tech company with an engineering hub in Belfast that is expanding its Data & AI Platform Team as part of a multi-year digital transformation. They develop digital manufacturing intelligence tools used by world-leading manufacturers to make smarter design, sourcing, and production decisions - combining cloud data, AI, and digital twin technology to drive efficiency, sustainability, and innovation.

The Role

This is a hands-on AI engineering role within a collaborative, product-driven team building a next-generation data platform that leverages proprietary data to deliver advanced insights and AI capabilities.

You'll design and implement both LLM-driven and traditional AI/ML solutions, embedding intelligent automation into core products and data workflows.

It's a greenfield opportunity with real freedom to shape how AI is built, deployed, and scaled across the organisation.

Responsibilities

• Designing and deploying AI/ML solutions - from traditional models to GenAI applications.
• Building LLM-based pipelines (using LangChain and related tooling).
• Embedding AI-driven features and automation into cloud-based products.
• Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI tenfold.
• Using tools like AWS SageMaker, Bedrock, TensorFlow, PyTorch, and GCP Vertex AI.

Qualifications

• Strong background in AI/ML engineering and data engineering principles.
• Proven experience building and deploying GenAI applications into production.
• Hands-on experience with LLM tooling (e.g. LangChain).
• Cloud experience with AWS (SageMaker, Bedrock) or GCP Vertex AI.
• Collaborative mindset - able to bridge between data, product, and engineering teams.

Why Apply?

• Be part of a growing Belfast-based AI team within a global organisation.
• Shape the company's AI and data vision from the ground up.
• Work on greenfield AI projects with real-world impact across manufacturing and engineering.
• Competitive salary DOE and hybrid flexibility.

Apply

Interested? To speak in absolute confidence about this opportunity please contact Rachael Walker, IT Recruitment Manager at MCS Group or click the apply button below.

If this position is not right for you, we have others that are.

Please visit MCS Group to view a wide selection of our current jobs or give us a call.

All conversations will be treated in the strictest of confidence.

Skills:

• AI Engineer
• senior ai engineer
• data engineer
• ML Engineer
• machine learning

Benefits

• Work From Home