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- Tasks: Develop AI solutions using Python and collaborate on innovative projects.
- Company: Leading Software and AI Development company in London with a flat hierarchy.
- Benefits: Salary up to £85k, flexible remote work, and top-notch training.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience in Python and solid knowledge of AI/ML required.
- Other info: Sociable team with great office perks for onsite work.
The predicted salary is between 43200 - 72000 £ per year.
Senior AI Engineer (NLP / LLMs) – remote (UK based)
£70-100k depending on experience
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 employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with current employees at the company. You never know who might give you a heads-up about an opportunity or refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python and machine learning frameworks like Tensorflow or Pytorch. This will give you a leg up during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions and coding challenges to boost your confidence and show that you’re ready to tackle real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and eager to join our innovative team!
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your programming experience with Python in your application. We want to see how you've used it in real projects, especially in an Agile environment. Don’t hold back on showcasing any cool AI/ML projects you’ve worked on!
Demonstrate Your AI/ML Knowledge: We’re looking for innovative thinkers, so don’t just list your skills—explain how you’ve applied them! If you’ve worked with Tensorflow, Pytorch, or Sklearn, share specific examples of how you’ve used these tools to solve problems or create solutions.
Be Yourself: We value authenticity, so let your personality shine through in your application. Share your ideas and thoughts on AI and ML, and don’t be afraid to voice what makes you passionate about this field. We want to know the real you!
Apply Through Our Website: Ready to take the plunge? Make sure to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at Digital Waffle
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in an Agile environment, and think of specific projects where you've used it. This will show that you can hit the ground running!
✨Show Off Your AI/ML Knowledge
Familiarise yourself with the latest trends and tools in AI and Machine Learning, especially Tensorflow, Pytorch, and Sklearn. Prepare to discuss how you've applied these technologies in past projects, as this will demonstrate your hands-on experience and innovative thinking.
✨Prepare for Problem-Solving Questions
Expect to face some technical challenges during the interview. Practice solving common AI/ML problems and be ready to explain your thought process. This will highlight your analytical skills and ability to tackle complex issues, which is crucial for the role.
✨Be Ready to Share Your Ideas
Since the company values innovative thinkers, come prepared with ideas on how you could contribute to their projects. Think about potential improvements or new features you could suggest, and be ready to back them up with solid reasoning. This shows you're proactive and engaged!
