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- Tasks: Design and deploy AI-powered features that transform user interactions.
- Company: Join a global tech company revolutionising product design with AI.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Why this job: Shape the future of AI in a dynamic, impactful role.
- Qualifications: 7 years in software or machine learning engineering, strong Python skills.
- Other info: Collaborative team culture with a focus on innovation and real-world solutions.
The predicted salary is between 60000 - 95000 £ per year.
Location: Belfast or Remote (UK-based)
Type: Permanent | Hybrid or Fully Remote (UK)
About the Opportunity
You will 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. The focus is shifting to embedding AI and Generative AI directly into that platform.
What You Will Be Doing
This is a hands-on, impact-heavy engineering role. You will design, build, and deploy AI-powered capabilities that make a genuine difference to how users interact with the platform – such as intelligent assistants, automated insights, and adaptive recommendations. You will 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 new GenAI frameworks, model safety, and emerging best practices – and sharing that insight with your peers.
What You Will Bring
We are looking for an engineer who is comfortable getting stuck into all layers of AI delivery – from model design to deployment. You will 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.
Why This Role?
You will have genuine influence in shaping how AI gets built into a global product used by major industry players. You will work with modern tech – cloud-first, AI-ready, and focused on delivering applied, not theoretical, intelligence. You will join a team that is 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 is 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 confidently 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.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Technology, Information and Media
Senior AI Engineer employer: MCS Group | Your Specialist Recruitment Consultancy
Contact Detail:
MCS Group | Your Specialist Recruitment Consultancy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using LLMs or cloud platforms. This gives you a chance to demonstrate your hands-on experience and creativity to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common AI-related questions and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and makes it easier for us to keep track of your application.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with Python, cloud ML platforms, and any relevant projects that showcase your skills in AI/ML. We want to see how you can bring value to our team!
Showcase Your Projects: Include specific examples of AI-powered features or products you've built. Whether it's using LangChain or deploying models on AWS, we love seeing real-world applications of your work. This helps us understand your hands-on experience better!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication, so let’s keep it simple!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at MCS Group | Your Specialist Recruitment Consultancy
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and Generative AI. Be ready to discuss how you've used frameworks like LangChain, PyTorch, or TensorFlow in your previous projects. Showing that you’re not just familiar but also passionate about these technologies will definitely impress.
✨Showcase Your Collaboration Skills
This role requires a lot of teamwork, so be prepared to share examples of how you've worked with product and data teams in the past. Highlight any mentoring experiences too, as they show you're a team player who enjoys helping others grow.
✨Demonstrate Your Problem-Solving Mindset
Be ready to talk about specific challenges you've faced in AI delivery and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how your curiosity and practical approach led to successful outcomes.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's AI strategy and future projects. This shows that you're genuinely interested in the role and eager to contribute to their mission of embedding AI into their platform. It’s a great way to demonstrate your enthusiasm and forward-thinking mindset.
