AI engineers who work as part of your team
Dedicated engineers and data scientists working your hours, in your tools, reporting into your team, for when you need hands as well as advice.
What you get
Scope is agreed with you up front and tailored to your situation. These are the building blocks.
AI and ML engineers
Engineers experienced in LLM applications, data pipelines and model deployment.
Data scientists and analysts
Modelling, experimentation and analysis support embedded with your business teams.
Time-zone overlap
Working hours arranged to overlap with your US, UK or European team for real-time collaboration.
Flexible team sizing
Start with one person or a small pod and adjust as priorities change.
Is this right for you?
Engineering and data leaders who need to add capacity quickly, without long hiring cycles, and want people who integrate with their team.
Common starting points
- Adding AI capability to an existing engineering team
- Staffing a time-boxed AI initiative
- Backfilling specialised skills during a build
- Extending a team with overlap hours across time zones
From first call to results
Short feedback loops and working output at every step, in overlap with your time zone.
Define the need
Agree skills, seniority, working hours and goals.
Match
We propose candidates for your review and interview.
Onboard
People join your tools, rituals and codebase quickly.
Review
Regular check-ins to confirm fit and adjust the team as needed.
Frequently asked
Who manages the engineers day to day?
Your team directs the work. We handle employment, HR and ongoing support.
Can we meet people before committing?
Yes. You review profiles and can interview before anyone starts.
Can we scale the team up or down?
Yes. Terms for adjusting team size are agreed in the engagement contract.
Explore more of what we do
Tell us what you are trying to achieve
Share a few details and we will reply with an honest view on whether and how we can help.
Contact Qualsys