AI Solutions ArchitectDigital Waffle • City of London, England, United Kingdom
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AI Solutions Architect
Digital Waffle
- City of London, England, United Kingdom
- City of London, England, United Kingdom
À propos
- Build Our In-House AI Environment
Location:
London (onsite) Type:
Full-time | Permanent Salary:
Up to £120k total compensation
About Us We're 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's time to take the next step. We're 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're looking for an
AI Infrastructure Lead
- 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 our first senior AI hire, you'll take ownership of designing and building the foundation of our AI ecosystem. You'll 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'll 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.
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Compétences linguistiques
- English
Avis aux utilisateurs
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