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For Companies At a Glance
- Tasks: Design and build our in-house AI environment using cutting-edge technologies.
- Company: Ambitious tech company focused on next-gen AI products.
- Benefits: Competitive salary, flexible working, and professional growth opportunities.
- Why this job: Lead the future of AI infrastructure and make a real impact.
- Qualifications: 5+ years in machine learning or AI system design required.
- Other info: Opportunity to mentor and build your own AI engineering team.
The predicted salary is between 72000 - 84000 £ per year.
Location: London (onsite)
Type: Full-time | Permanent
Salary: Up to £120k total compensation
About Us
We are an ambitious technology company using advanced Machine Learning (ML) and Natural Language Processing (NLP) to power next-generation products. We are ready to build our own in-house AI environment, giving us full control over our models, data, and innovation pipeline.
The Role
As our first senior AI hire, 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. Once the environment is established, you will play a key role in recruiting and mentoring two mid-level AI engineers who will join your team.
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).
- Establish best practices for model versioning, data pipelines, and reproducibility.
- Collaborate with ML and NLP researchers to optimize infrastructure for experimentation.
- Set up CI/CD pipelines, monitoring tools, and scalable compute infrastructure.
- Lead future recruitment and mentoring of additional AI engineers.
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
- Experience leading small teams or mentoring other engineers.
- 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 and own the company's AI infrastructure from the ground up.
- Work with cutting-edge AI technologies in a hands-on, high-impact role.
- Leadership path - build your own AI engineering team.
- Competitive salary (up to £120k), 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 Solutions Architect 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 Solutions Architect in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at local meetups. 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 AI projects, especially those involving ML and NLP. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to AI infrastructure and MLOps. Practice explaining your past projects and how they relate to the role you're applying for.
✨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 you’re genuinely interested in joining our team.
We think you need these skills to ace AI Solutions Architect in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Solutions Architect role. Highlight your experience with ML, NLP, and any relevant projects you've worked on. We want to see how you can contribute to building our in-house AI environment!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with our mission at StudySmarter. Be genuine and let your passion for AI come through!
Showcase Your Technical Skills: Since this role requires strong technical expertise, make sure to include specific examples of your work with MLOps, containerization, and scalable systems. We love seeing real-world applications of your skills, so don’t hold back!
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 at StudySmarter!
How to prepare for a job interview at Digital Waffle
✨Know Your AI Stuff
Make sure you brush up on your machine learning and natural language processing knowledge. Be ready to discuss specific projects you've worked on, especially those involving MLOps, Docker, and Kubernetes. The more you can demonstrate your hands-on experience, the better!
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading a team, be prepared to share examples of how you've successfully led projects or mentored others in the past. Highlight your ability to collaborate with different teams and how you can help shape the future of the AI infrastructure.
✨Prepare for Technical Questions
Expect some deep technical questions about system architecture, data pipelines, and model deployment. Brush up on your programming fundamentals and be ready to solve problems on the spot. Practising coding challenges can really help you feel more confident.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI vision, the challenges they face, and how you can contribute. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
