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For Companies At a Glance
- Tasks: Develop AI solutions using Python and collaborate on innovative projects.
- Company: Leading Software and AI Development company based in London.
- 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.
£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
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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're eyeing. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨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 gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on common AI and Python-related questions. Don’t forget to think of innovative ideas you can share during the interview – they love fresh perspectives!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for innovative thinkers who can contribute to our team culture.
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 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. Prepare to explain how you've applied these technologies in past projects, as this will show your practical knowledge.
✨Showcase Your Innovative Thinking
Since the company values innovative thinkers, come prepared with ideas or solutions related to their products. Think about how you can contribute to their greenfield projects and be ready to back up your suggestions with examples from your previous work.
✨Understand Agile Methodologies
Familiarise yourself with Agile practices, as this role requires working in an Agile environment. Be ready to discuss how you've successfully collaborated in Agile teams and how you adapt to changing requirements.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects, team dynamics, and future goals. This not only shows your interest but also helps you gauge if the company culture aligns with your values, especially in a flat hierarchy where everyone's voice matters.
