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For Companies At a Glance
- Tasks: Design and build an in-house AI environment using cutting-edge technologies.
- Company: Ambitious tech company focused on advanced Machine Learning and Natural Language Processing.
- Benefits: Competitive salary up to £110k, flexible working, and professional growth opportunities.
- Why this job: Shape the future of AI infrastructure and make a real impact in a high-impact role.
- Qualifications: 5+ years in machine learning or AI system design with strong programming skills.
- Other info: Join a dynamic team and work on innovative AI projects.
The predicted salary is between 80000 - 110000 £ per year.
Location: London (onsite)
Type: Full-time | Permanent
Salary: £80-110k DOE
About Us
We are an ambitious technology company using advanced Machine Learning (ML) and Natural Language Processing (NLP) to power next-generation products. Until now, our AI projects have relied on third-party engines deployed via Docker - but it is time to take the next step. We are ready to build our own in-house AI environment, giving us full control over our models, data, and innovation pipeline. To make that happen, we are looking for an AI Engineer - someone with the technical depth and vision to architect, implement, and scale an environment capable of supporting multiple ML and NLP initiatives across the business.
The Role
As one of our first senior AI hires, you will take ownership of designing and building the foundation of our AI ecosystem. You will shape the infrastructure strategy, establish our MLOps pipelines, and work closely with product and data teams to enable seamless model development and deployment.
Responsibilities
- Architect, build, and maintain an in-house AI environment (on-prem or hybrid cloud).
- Design MLOps workflows for training, deploying, and monitoring models.
- Integrate and manage containerized AI engines (Docker/Kubernetes).
- Help establish best practices for model versioning, data pipelines, and reproducibility.
- Collaborate with ML and NLP researchers to optimise infrastructure for experimentation.
- Set up CI/CD pipelines, monitoring tools, and scalable compute infrastructure.
Skills & experience
Required
- 5+ years of experience in machine learning, data science, or AI system design.
- Proven track record of deploying ML models or LLM-based applications to production.
- Strong programming fundamentals, including data structures and algorithms.
- Hands-on experience with transformers, embeddings, and vector databases.
- Experience running AI workloads on offline or on-premise platforms (non-cloud environments).
- Solid understanding of data pipelines, APIs, and scalable system architecture.
Preferred
- Familiarity with MLOps tools and best practices.
- Background in integrating AI solutions into enterprise products.
- Awareness of privacy, bias mitigation, and model explainability techniques.
What We Offer
Opportunity to design the company's AI infrastructure from the ground up. Work with cutting-edge AI technologies in a hands-on, high-impact role. Competitive salary (up to £110k), flexible working, and professional growth opportunities.
Ready to build the foundation of our AI future? Apply now and help us shape an intelligent, scalable, and independent AI ecosystem.
AI Engineer in City of London employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving ML and NLP. This will give us a clear picture of what you can bring to the table and set you apart from other candidates.
✨Tip Number 3
Prepare for technical interviews by brushing up on your programming fundamentals and MLOps practices. We want to see how you think and solve problems, so practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of our ambitious team.
We think you need these skills to ace AI Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your relevant projects and achievements in machine learning and AI system design to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your vision aligns with our goals. Share specific examples of your past work that demonstrate your ability to architect and implement AI solutions.
Showcase Your Technical Skills: Don’t shy away from diving into the technical details! We want to see your programming fundamentals, experience with MLOps, and any hands-on work with transformers or vector databases. Be specific!
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 this exciting opportunity to shape our AI future!
How to prepare for a job interview at Digital Waffle
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning and natural language processing techniques. Brush up on your experience with MLOps tools, Docker, and Kubernetes, as these will likely come up during the interview. Being able to discuss your hands-on experience with deploying ML models will definitely impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about times when you had to architect a solution or optimise an AI environment. This will demonstrate your technical depth and vision, which is crucial for the role.
✨Understand the Company’s Vision
Research the company’s current AI projects and their future goals. Be ready to share your thoughts on how you can contribute to building their in-house AI environment. Showing that you align with their ambitions will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI strategy, team dynamics, and the technologies they use. This not only shows your genuine interest but also helps you gauge if the company is the right fit for you. Plus, it opens up a dialogue that can make the interview feel more like a conversation.
