Hire Machine Learning Engineers
Hire senior machine learning engineers from Portugal for model training, evaluation and serving in production, with the data pipelines and monitoring behind them. Nearshore in the UK time zone, one hour behind CET, embedded in your team.
This page is for companies hiring Machine Learning Engineers. Engineers looking for a role: how we run careers.
Same engineers, different contract. Pick the one that matches how much of the delivery you want to own.
Staff augmentation
One engineer in your team
- Who manages the work
- You
- Works inside your team
- Yes
- UK time zone (1 h behind CET)
- Yes
- Scope and roadmap stay yours
- Yes
- Scale up or down monthly
- Yes
- Best when
- You need capacity
Dedicated team
Our team on your product
- Who manages the work
- Us, with you
- Works inside your team
- Yes
- UK time zone (1 h behind CET)
- Yes
- Scope and roadmap stay yours
- Yes
- Scale up or down monthly
- Yes
- Best when
- You need a squad
Software development
End-to-end delivery
- Who manages the work
- Us
- Works inside your team
- No
- UK time zone (1 h behind CET)
- Yes
- Scope and roadmap stay yours
- Fixed per project
- Scale up or down monthly
- No
- Best when
- You need an outcome
Tell us what the engineer needs to ship, the stack, and how your team works. 30 minutes.
You interview the engineer — not a salesperson. If the fit isn't obvious, we propose someone else.
Your repos, your rituals, your standards. Productive in the first sprint, not the third month.
Monthly, no lock-in. Scale up, swap, or stop with notice.
Hiring Machine Learning Engineers: vetting, onboarding, contract and time zone
A machine learning engineer trains, tunes and serves models, and owns the data pipelines and MLOps behind them. An AI engineer builds products on top of existing models: LLM features, retrieval (RAG), agents, and the evals and guardrails that keep them safe in production. If your product is the model, hire the first; if you are adding AI features to a product, the second.
Senior only: everyone we put forward has shipped and owned production systems. It starts with a 30-minute brief with an engineer on your data sources, the decisions the work should inform and your BI tools. We shortlist profiles matched on stack, domain and seniority, and you interview the engineer yourself, not a salesperson. If the fit isn't obvious in that call, we propose someone else.
Most engagements start within two to three weeks of the brief. The engineer onboards into your repos, tools and rituals and works to your standards, productive in the first sprint rather than the third month. For reference, Right-On-Skill in Luxembourg had its first developer integrated two weeks after the briefing.
Monthly, with no lock-in and no recruitment fees: one monthly rate per engineer. You can scale up, swap the profile or stop with notice, and the code, the repositories and the IP stay yours. If you would rather hand over the outcome than manage the engineer, the same people work as a dedicated team or an end-to-end build.
Mainland Portugal runs on WET/WEST (UTC+0 in winter, UTC+1 in summer): the same time as the UK, one hour behind Central European Time and five hours ahead of New York. That is a full shared day with London, all but an hour with Amsterdam or Berlin, and about four hours with the US East Coast, so standups, code review and incident calls happen live.
Start your deployment.
Talk directly to a principal engineer.
No sales team.
No discovery workshops.
No procurement circus.
We scope, build and ship.
- Reply within one business day
- Engineer-led assessment
- Written proposal
- Lisbon · UK time zone
No commitment. Just an engineer.