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For Companies At a Glance
- Tasks: Design and deploy advanced AI solutions using NLP and LLMs for real-world applications.
- Company: High-growth SaaS company focused on impactful AI technology.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Why this job: Join a mission-driven team and make a difference with cutting-edge AI solutions.
- Qualifications: Experience in AI/Machine Learning, strong NLP and LLM expertise required.
- Other info: Dynamic role with mentorship opportunities and a focus on continuous improvement.
The predicted salary is between 60000 - 84000 £ per year.
A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact.
The Role
As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery.
What You’ll Be Doing
- Designing and developing NLP and LLM-driven solutions for complex, real-world use cases
- Fine-tuning and adapting foundation models using domain-specific data
- Building evaluation frameworks, prompt testing tools and data preprocessing pipelines
- Monitoring, optimising and maintaining deployed models for performance, cost and reliability
- Implementing explainability, fairness and bias-mitigation strategies
- Collaborating on MLOps pipelines, CI/CD workflows and production deployments
- Mentoring junior engineers and promoting best practices across the team
- Staying current with advances in AI, NLP and MLOps to drive continuous improvement
What We’re Looking For
- Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership
- Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents)
- Experience translating research and experimentation into production systems
- Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management
- Hands-on experience with Docker and Kubernetes
- Strong communication skills and experience mentoring or leading others
Nice to Have
- Experience working in regulated or sensitive domains
- Exposure to graph-based retrieval techniques
- Experience with Azure ML and DevOps integrations
Artificial Intelligence Engineer in Dunfermline employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in Dunfermline
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP and LLMs. Share your GitHub or any relevant work on platforms like LinkedIn. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in this role. Mock interviews can help you feel more confident!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Artificial Intelligence Engineer in Dunfermline
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior AI Engineer. Highlight your experience with NLP and LLMs, and don’t forget to showcase any hands-on projects that demonstrate your skills in building and deploying models.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background aligns with our mission at StudySmarter. Be specific about your achievements and how they relate to the job description.
Showcase Your Projects: If you’ve worked on relevant projects, make sure to include them in your application. Whether it’s a personal project or something from your previous job, we want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Digital Waffle
✨Know Your NLP and LLMs Inside Out
Make sure you brush up on your knowledge of natural language processing and large language models. Be prepared to discuss specific techniques you've used, like fine-tuning transformers or implementing RAG. Having concrete examples ready will show that you can translate theory into practice.
✨Showcase Your MLOps Expertise
Since the role involves working with MLOps pipelines, be ready to talk about your experience with CI/CD workflows and model lifecycle management. Highlight any hands-on experience you have with Docker and Kubernetes, as this will demonstrate your ability to deploy and maintain AI systems effectively.
✨Prepare for Real-World Problem Solving
The company is focused on solving real-world problems, so think of examples where you've designed and deployed AI solutions in complex environments. Be ready to discuss how you approached challenges, especially in regulated domains, and what impact your solutions had.
✨Emphasise Collaboration and Mentorship
This role requires working closely with various teams and mentoring junior engineers. Prepare to share experiences where you've collaborated on projects or guided others. This will highlight your communication skills and your ability to promote best practices within a team.
