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For Companies At a Glance
- Tasks: Design and develop cutting-edge NLP and LLM solutions for real-world applications.
- Company: High-growth SaaS company focused on impactful AI systems.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Why this job: Join a mission-driven team and make a difference with advanced AI technology.
- Qualifications: Experience in AI/Machine Learning, strong NLP and LLM expertise required.
- Other info: Dynamic role with mentorship opportunities and a focus on continuous improvement.
The predicted salary is between 60000 - 84000 £ per year.
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
Remote C# Engineer in London employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote C# Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even online forums. 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 projects, especially those involving NLP and LLMs. Share your GitHub or any relevant work on platforms like LinkedIn to catch the eye of recruiters.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply, as you'll need to communicate effectively with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our mission and values.
We think you need these skills to ace Remote C# Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior AI Engineer. Highlight your experience with NLP and LLMs, and don’t forget to showcase any hands-on projects that demonstrate your skills in building and deploying AI systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background aligns with our mission at StudySmarter. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in previous roles. We love seeing candidates who can balance experimentation with real-world delivery, so share those success stories!
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Digital Waffle
✨Know Your NLP and LLMs Inside Out
Make sure you brush up on your knowledge of natural language processing and large language models. Be ready to discuss specific projects where you've designed or deployed these technologies, and how they relate to real-world applications. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your MLOps Experience
Since this role involves a lot of collaboration with MLOps teams, be prepared to talk about your experience with CI/CD workflows and model lifecycle management. Highlight any hands-on experience you have with Docker and Kubernetes, as well as how you've monitored and optimised models in production.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your problem-solving skills and your approach to building scalable AI systems. Practice explaining your thought process clearly and concisely, as communication is key in this role. Use examples from your past work to illustrate your points.
✨Demonstrate Your Mentorship Skills
This position involves mentoring junior engineers, so be ready to discuss your experience in leading teams or promoting best practices. Share specific instances where you've helped others grow or improved team performance, as this will highlight your leadership qualities and collaborative spirit.