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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 AI and software development community. Attend meetups, webinars, or even just connect 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 Python projects and any AI/ML work you've done. This is your chance to demonstrate your innovative thinking and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Tensorflow, Pytorch, or Sklearn. Practice common interview questions and think about how you can back up your ideas with solid examples.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by the hiring team directly.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python programming experience and any AI/ML projects you've worked on. We want to see how you can bring your innovative thinking to the table!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention your experience with Tensorflow, Pytorch, or Sklearn if you have it. We love seeing candidates who pay attention to detail.
Be Yourself: We’re looking for innovative thinkers, so don’t be afraid to let your personality shine through in your application. Share your ideas and how you’ve backed them up in past projects!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to see your application and get you into the process!
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 flagship products you've contributed to. Discuss the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and innovative thinking.
✨Be Ready to Share Ideas
Since the company values innovative thinkers, don’t hesitate to voice your ideas during the interview. Think about how you can contribute to their projects and be prepared to back up your suggestions with solid reasoning and examples from your past experiences.
✨Understand Their Culture
Research the company's culture and values, especially their flat hierarchy approach. Be ready to discuss how you thrive in collaborative environments and how you can contribute to a team that encourages open communication and shared decision-making.
