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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 fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 and soft skills. Practice common interview questions related to AI and Python, and be ready to discuss your ideas and how they can contribute to the company's goals.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role and connect with us directly. Plus, it shows you're serious about joining our team and contributing to exciting projects.
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 relevant skills!
Be Yourself: We’re looking for innovative thinkers who aren’t afraid to voice their ideas. Let your personality shine through in your application – we want to know what makes you tick!
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 back to you quickly!
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. They’ll likely want to hear about how you’ve tackled challenges using Python, so have some examples at the ready!
✨Show Off Your AI/ML Knowledge
Since this role focuses heavily on AI and Machine Learning, be prepared to dive deep into your understanding of frameworks like Tensorflow, Pytorch, or Sklearn. Think about recent trends in AI and how they could apply to the company’s projects. This shows that you’re not just knowledgeable but also passionate about the field.
✨Be Ready to Share Ideas
This company values innovative thinkers, so don’t hold back! Prepare to discuss your ideas on how to improve their products or processes. Think about potential greenfield projects you could suggest and how they align with the company's goals. This will demonstrate your proactive mindset and willingness to contribute.
✨Understand Their Culture
With a flat hierarchy, it’s important to show that you can collaborate effectively within a team. Research the company culture and be ready to discuss how you thrive in such environments. Highlight any past experiences where you’ve successfully worked in a team setting, especially in tech-focused roles.
