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.
- Other info: Dynamic role with mentorship opportunities and a focus on continuous improvement.
- 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.
The predicted salary is between 70000 - 100000 € 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 Engineer:in (m/w/d) in London employer: Digital Waffle
Join a high-growth SaaS company that prioritises innovation and social impact, offering a dynamic work environment for Senior AI Engineers. With a strong focus on employee development, you will have the opportunity to mentor junior engineers and collaborate with cross-functional teams while working remotely from the UK. Enjoy competitive salaries, a culture of continuous improvement, and the chance to contribute to mission-critical systems in regulated environments.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Engineer:in (m/w/d) 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 where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP and LLMs. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in this role. Mock interviews with friends can help you feel more confident!
✨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 your experience with MLOps and model deployment – that’s what we’re all about!
We think you need these skills to ace Remote Engineer:in (m/w/d) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior AI Engineer role. Highlight your expertise in NLP and LLMs, and don’t forget to mention any hands-on experience with MLOps and Docker!
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 makes you a perfect fit for our team. Be sure to mention any relevant projects or achievements.
Showcase Your Projects:If you've worked on any interesting AI projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve NLP or LLMs!
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 don’t miss out on any important updates from 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 you've worked on, especially those involving transformers and fine-tuning. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your MLOps Skills
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 these are crucial for deploying AI solutions.
✨Demonstrate Problem-Solving Abilities
The company is looking for someone who can translate complex business and regulatory requirements into scalable AI systems. Prepare examples of how you've tackled real-world problems using AI, focusing on measurable outcomes and the impact of your solutions.
✨Be Ready to Discuss Mentorship
As a senior engineer, you'll likely be mentoring junior team members. Think of instances where you've led or guided others, and be ready to share your approach to promoting best practices within a team. This will highlight your leadership skills and commitment to continuous improvement.
