Tech team for hire
Flexible resource for your tech team - whenever you need it
Hypercube’s technical team augmentation services helps you accelerate delivery. Whether you need extra data science capability to develop a model or a full stack team to accelerate project delivery, we provide flexible, scalable support that harmonises with your internal team.
How Hypercube delivers value for you
- Seamless team integrationCultural and technical fit is core to what we do, so we don't drop in isolated contractors. We carefully select consultants who will compliment your in-house strengths, align with your delivery practices, and operate as a core member of your team.
- Multi-disciplinary technical expertiseWe pride ourselves in being A-class technical professionals. From data engineering, AI modelling and analytics to multi-cloud/on-prem infrastructure, security and networking, we can support any area of your tech stack with agile project rigour.
- Energy sector specialistsWe are experts in the energy sector. We spend our days building machine learning pipelines for flexible asset trading and utility-scale energy storage and wind analytics platforms. Whatever your challenge is, we can help you solve it.
- Flexibility and agility that matches your paceWe understand that delivery needs evolve over time. That's why we offer flexible team resourcing options that scale up or down as required. From short-term capacity boosts to long-term embedded run teams, our model flexes with your priorities.

Our model
Scoping
We work with you to define the right team shape, role profiles, and delivery outcomes.
Selection
We propose consultants matched to your requirements and aligned to your prioirities.
Harmonise
Our consultants are fully synced with your team, culture, and ways of working - fast.
Technical assurance
Every placement is supported by Hypercube’s internal technical leads.
Roles we provide
Role |
What they deliver |
|---|---|
| Data Engineers | Design, build and maintain high-performing, secure data platforms, including batch and streaming pipelines, lakehouse architectures, and ingestion services. |
| Data Scientists | Deliver actionable insights from complex datasets using statistical modelling, forecasting, and exploratory analytics. |
| Machine Learning Engineers | Train, test, deploy and scale machine learning models. |
| AI Engineers | Design and implement AI models such as LLM, RAG and cognitive services. |
| ML Ops Engineers | Monitor, version, and deploy ML models in production, manage experiment tracking, and maintain robust ML infrastructure to ensure reliability and performance. |
| Cloud Engineers | Design and implement secure, scalable, and cost-efficient cloud, multi-cloud or on-prem systems across AWS, Azure, and GCP. |
| DevOps Engineers | Automate infrastructure, enforce secure CI/CD practices, manage infrastructure-as-code, and build observability tooling. |
| Software Engineers | Design and build reliable, maintainable applications and APIs using modern frameworks and engineering practices. |
| Project Managers | Enable high-performing teams, manage projects like clockwork and align delivery to strategic goals. |
Speak to the Hypercube team
Learn more about Hypercube's Technical Team Augmentation
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