The challenge
Where teams get stuck
The problems we're most often brought in to solve.
- 01
Prototypes that never reach production
Proofs of concept show promise, but the engineering to deploy, monitor and maintain them is missing.
- 02
Scarce applied AI expertise
Engineers with production machine learning and LLM experience are difficult to recruit and retain locally.
- 03
Models without governance
Experiments are undocumented and unmonitored, so results are hard to reproduce, explain or trust.
Overview
AI & ML Engineering Capacity at VulcanTech
AI and ML engineering capacity adds engineers to your team who move models from experiment to production: data preparation, model training and evaluation, LLM and retrieval systems, and deployment with monitoring. VulcanTech engineers have delivered computer vision, forecasting and classification work, and join your data and product teams under the same assessment, confidentiality and IP terms as every engagement.
Key deliverables
- Shortlist of assessed AI/ML engineers
- Onboarding plan with your data team
- Model and experiment documentation
- Signed NDA and IP assignment
What you get
What AI & ML Engineering Capacity includes
Production ML engineering
Engineers who build data pipelines, training workflows and deployment paths, not only notebooks.
Generative AI and retrieval
Experience integrating foundation models, retrieval-augmented generation and evaluation into products.
Computer vision
Image and video models for detection, classification and inspection use cases.
MLOps practices
Experiment tracking, model versioning and monitoring that keep models reliable after release.
Documented experiments
Models, datasets and results documented so work is reproducible and auditable.
Embedded with your data team
Engineers follow your data access controls, review processes and delivery cadence.
More in Team Extension
Related services
Our process
How we deliver
A delivery process you can see into — from first workshop to production support.
- 01
Discovery
A focused working session on your objectives, constraints and existing systems. It concludes with a scoped proposal and a clear view of value, risk and effort.
- 02
Architecture & planning
We agree the target architecture, data model and integration approach before product code is written, and secure your sign-off.
- 03
Iterative delivery
Working software reaches a staging environment on a regular cadence, giving stakeholders continuous visibility and the ability to steer priorities.
- 04
Assurance & hardening
Automated testing, accessibility and performance budgets, and a security review are completed before anything reaches production.
- 05
Launch & continuity
We manage cutover and remain engaged through an agreed support period, with a structured handover to your teams or ongoing operation by ours.
Engagement models
Work with us the way that suits you
Outcome-based delivery
A defined scope, timeline and commercial model agreed after discovery. We own delivery risk against the agreed outcomes.
Best for: Well-defined initiatives, MVPs and first releases
Dedicated product teams
A cross-functional pod — engineering, design, QA and delivery leadership — aligned to your roadmap and scaled as priorities change.
Best for: Long-term product development and evolving roadmaps
Team extension
Senior engineers embed in your organisation, work inside your processes and report to your leaders — on contracts that assign all IP to you.
Best for: Adding specialist capability without growing headcount
Tools & technologies
The stack we build with
- Python
- PyTorch
- TensorFlow
- scikit-learn
- LangChain
- OpenCV
- MLflow
- AWS SageMaker
Why VulcanTech
A partner, not a vendor
Senior engineering, honest delivery, and work we can name.
Senior engineers own delivery
The engineers who scope your programme in discovery are the engineers who deliver it. There is no hand-off to a junior bench after contract signature.
Engagement models that fit
Outcome-based delivery, dedicated product teams, team extension or global capability centres, matched to how your organisation prefers to work.
A verifiable track record
Every customer story we publish describes real production work, naming the client wherever confidentiality allows, including public-sector platforms secured through competitive tenders.
80+ projects in 16 countries
Delivered since 2021 across the public sector, real estate, healthcare, manufacturing and consumer technology, for regulated and high-growth organisations alike.
Customer stories
Proven delivery
Real Estate & Construction · United Arab EmiratesMaak Dream Developers runs sales, inventory and delivery on one governed platformMaak Dream DevelopersRead the story 
Public tenderPublic Sector & Government · PakistanPunjab's environment department gives citizens live, forecast-led air-quality intelligenceEPCCD, Government of the PunjabRead the story 
Manufacturing & Industrial · PakistanSiddique Sons Engineering moves HR and payroll onto a single system of recordSiddique Sons Engineering (Pvt) LtdRead the story
FAQ
Frequently asked questions
Can't find what you need? Ask us in the discovery session.
Free discovery session
Talk to us about AI & ML Engineering Capacity
Tell us what you're building. You'll hear back from an engineer, not an inbox.
- 1We reply within one business day to set up a 30-minute call.
- 2A senior engineer — not a salesperson — walks through your problem.
- 3You get a scoped proposal with timeline and cost. No obligation.
New projects & sales
[email protected]Existing clients & support
[email protected]