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For Companies At a Glance
- Tasks: Design and deploy advanced NLP and LLM solutions for real-world applications.
- Company: High-growth SaaS company focused on impactful AI solutions.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Why this job: Join a mission-driven team and make a difference with cutting-edge 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
Artificial Intelligence Engineer in Warrington employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space, especially those who work with NLP and LLMs. Attend meetups, webinars, or even just grab a coffee with someone in the industry – you never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP and LLMs. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with MLOps, Docker, and Kubernetes. Practise explaining complex concepts in simple terms – it shows you can communicate effectively, which is key in collaborative environments.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your experience with AI, NLP, and LLMs, and don’t forget to mention any mentoring or leadership roles you've had!
We think you need these skills to ace Artificial Intelligence Engineer in Warrington
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 models.
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 specific about your achievements and how they relate to the job description.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's fine-tuning models or developing evaluation frameworks, we want to see what you've done and how it can contribute to our team.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible while applying for the Senior AI Engineer position.
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 techniques you've used, like fine-tuning transformers or implementing bias-mitigation strategies. The more you can demonstrate your expertise, the better!
✨Showcase Your Hands-On Experience
Prepare to talk about your previous projects where you took models from research to production. Highlight your experience with MLOps, CI/CD workflows, and tools like Docker and Kubernetes. Real-world examples will help you stand out as a candidate who can own outcomes.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role, especially when collaborating with cross-functional teams. Practice explaining complex concepts in simple terms, and be ready to discuss how you've mentored others or promoted best practices in your previous roles.
✨Stay Current with Industry Trends
Demonstrate your passion for AI by discussing recent advancements in the field. Mention any relevant articles, papers, or conferences you've attended. Showing that you're proactive about learning will impress interviewers and show that you're committed to continuous improvement.
