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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 potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings!
✨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 an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for innovative thinkers like you. Plus, it’s a great way to get noticed by our hiring team!
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python skills and any experience with AI/ML. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI and how you can contribute to our innovative team. We love seeing candidates who can back up their ideas with enthusiasm.
Showcase Your Projects: If you've worked on any cool AI or machine learning projects, make sure to mention them! We’re keen on innovative thinkers, so sharing your experiences can really set you apart from the crowd.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our team!
How to prepare for a job interview at Digital Waffle
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with AI and Machine Learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Be prepared to answer technical questions and possibly even solve coding challenges during the interview.
✨Showcase Your Projects
Bring examples of your previous work, especially any greenfield projects or innovative solutions you've developed. This will not only demonstrate your technical abilities but also your creative thinking and problem-solving skills, which are crucial for this role.
✨Be Ready to Collaborate
Since the company values a flat hierarchy and teamwork, be prepared to discuss how you work in an Agile environment. Share experiences where you’ve collaborated with others, voiced your ideas, and contributed to team success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects, culture, and future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it’s a great way to engage with your interviewers!
