Senior AI Engineer
Location: Belfast or Remote (UK-based)
Type: Permanent | Hybrid Belfast or Fully Remote (UK)
Salary: Competitive base + extended benefits package
About the Opportunity
If you're the kind of engineer who enjoys turning cutting-edge AI into real, production features that people actually use, this is a role worth serious consideration.
You'll be joining a global technology company whose platform helps major manufacturers design and build products smarter and faster. The platform simulates real-world manufacturing processes before anything is made, giving customers early insight into cost, efficiency, and design trade-offs.
The next phase of the platform is a major one: embedding AI and Generative AI directly into the product, not as experiments or side projects, but as core capabilities. This role sits right at the start of that journey and will help define how AI is built and scaled across the platform.
What You'll Be Doing
This is a hands-on, ownership-driven engineering role. You'll design, build, deploy, and own AI-powered capabilities that run in production and are used by real customers - including intelligent assistants, automated insights, and adaptive recommendations.
You'll work closely with Product, Data, and Engineering teams to shape both the technical approach and the broader AI roadmap. Day to day, that includes:
* Designing, building, and owning LLM-based features and GenAI workflows in production
* Using frameworks such as LangChain, PyTorch, and TensorFlow to deliver applied AI solutions
* Working with AWS Bedrock, SageMaker, or GCP Vertex AI to build scalable cloud-based systems
* Implementing strong MLOps / LLMOps practices, including CI/CD, monitoring, cost control, and performance optimisation
* Partnering with Data Engineers to ensure the data pipelines feeding models are reliable, scalable, and well-structured
* Staying close to emerging GenAI patterns, model safety considerations, and new tooling - and helping the team adopt what's genuinely useful
What You'll Bring
This role suits someone comfortable operating across the full AI delivery lifecycle - from design through to deployment and long-term ownership. You'll likely have:
* 5+ years' experience in software, ML, or AI engineering roles
* Strong Python skills, with hands-on experience shipping AI/ML or LLM-driven systems into production
* Experience working with cloud ML platforms (AWS SageMaker / Bedrock, Vertex AI, or similar)
* Familiarity with LangChain or comparable orchestration frameworks for LLM pipelines
* A solid understanding of MLOps and what it takes to run models reliably in production
* A collaborative mindset - comfortable working closely with Product and Data teams, and mentoring others when needed
* A practical, curious approach - you enjoy experimenting, but you care most about building things that work
Why This Role?
* You'll play a key role in defining how AI and GenAI are embedded into a global, customer-facing product - this is not an innovation lab or side initiative
* You'll work with a modern, cloud-first stack and focus on applied AI, not theoretical research
* You'll join a team small enough to move quickly, with the backing and scale of a global technology business
* Flexible working with UK-based remote options for the right person
How They Work
The main engineering hub is in Belfast, but the team works flexibly across the UK. What matters most is clear communication, ownership, and a shared interest in 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.