Technical staffing
Hire AI and ML engineers
Engineers who build, evaluate and run machine learning and LLM systems: from the first model to monitoring it in production.
Roles we place
The roles in this category
Machine learning engineer
Builds, trains and ships models, and the pipelines that feed them.
LLM application engineer
Builds retrieval, agent and chat applications on large language models.
MLOps engineer
Runs models in production: deployment, monitoring, retraining and cost.
Data scientist
Frames the question, builds the analysis and measures whether a model helps.
Skills we match on
The skills behind the title
We match on what an engineer has used in production, not on a keyword list. Your brief decides which of these matter.
- Python
- PyTorch
- scikit-learn
- LLM APIs
- Retrieval and embeddings
- Evaluation design
- MLflow
- Kubernetes
- Amazon SageMaker
- Azure Machine Learning
- Vertex AI
- SQL
When companies hire them
- You are adding AI features and need engineers who have shipped them
- Models work in notebooks but not in production
- You need to measure whether a model actually helps
Related role
Need someone who works with customers too?
If the work happens in a customer's environment, or needs someone who can sit with users as well as build, consider a forward deployed ai engineer instead.
About the Forward Deployed AI EngineerHiring options
Hire the way that fits the work
Contract
An FDE embedded in your team for the length of the work. Best when you have a defined program and need the skills now, without adding headcount.
- You direct the work day to day
- Billed for time worked
- Extend or end as the work changes
Contract to hire
Start on contract, then hire the engineer onto your team. Best when you want a permanent forward deployed capability and want to see the fit first.
- Work together before committing
- Conversion terms agreed up front
- Keeps the knowledge in house
Direct hire
We find the engineer. You employ them from day one. Best when you are building an FDE team of your own and need help finding the people.
- Your employee from the first day
- One placement fee
- We run the search and first screens
FDE hub
A deployment strategist and a small team of engineers. Best when the work needs business and engineering skills at once, with one point of accountability.
- Strategist plus two or more engineers
- Sized to the problem
- One team, one plan
Other categories
More technical staffing
Data engineers
Pipelines, warehouses and analytics engineering, so your data is ready for reporting and AI.
Roles and skillsCloud and DevOps engineers
Cloud platforms, infrastructure as code, CI/CD and reliability, on AWS, Azure or Google Cloud.
Roles and skillsSoftware engineers
Backend, full-stack and integration engineers who ship production software with your team.
Roles and skillsSecurity engineers
Cloud, application and identity security engineers who build security into delivery.
Roles and skillsHire FDEs
Need AI and ML engineers?
Someone who understands forward deployed work reads every brief and replies with a view on the engineers you need, how many, and the hiring option that fits.