AI and data specialists, embedded in your team.
Machine learning engineers, data engineers, scientists and analysts, employed by Digisize and working under your direction.
- Machine learning engineerAI and dataScreenedMatched
- Data engineerAI and dataScreenedMatched
- Data scientistAI and dataScreenedMatched
- BI analystAI and dataScreenedMatched
- AI business analystAI and dataScreenedMatched
- AI quality assurance engineerAI and dataScreenedMatched
Roles we place in AI and data teams.
A general guide, not a complete list. If the role you need is not here, ask.
Machine learning and MLOps engineers
Engineers who build, deploy and monitor models, and keep them working in production.
Data engineers
Engineers who build and maintain the pipelines that move and prepare your data.
Data scientists
Scientists who frame the question, build the analysis and explain what the results mean.
Data and BI analysts
Analysts who build the reports and dashboards your teams make decisions from.
AI business analysts
Analysts who find where AI can help, write the requirements and track what it changes.
AI quality assurance engineers
Testers who check that models and AI features behave as intended, before and after release.
Need a role that is not on this list?
Tell us what the role has to own and we will look across the whole network.
Where our people have deliveredLife sciencesTechnology and softwareManaged services and ITProfessional services
The tools these roles work with.
Grouped by discipline, and not the whole list. If your stack is not here, ask.
- Python
- R
- Scala
- Jupyter
- pandas
- NumPy
- PyTorch
- TensorFlow
- scikit-learn
- Keras
- Hugging Face
- LangChain
- OpenAI
- MLflow
- Kubeflow
- Weights & Biases
- Docker
- Apache Spark
- Databricks
- Snowflake
- Apache Airflow
- dbt
- Apache Kafka
- BigQuery
- Amazon Redshift
- PostgreSQL
- Power BI
- Tableau
- Looker
- Qlik
Product names and logos belong to their owners and show where our specialists have experience, not a partnership.
One person, a whole team, or someone to lead it.
However you engage us, the specialist is our employee and works under your direction.
One specialist
One senior person for one gap in your team, working in your tools and your routines.
A cross-functional team
Several specialists placed together when a project needs more than one discipline.
Senior technical leadership
A lead who sets direction for a program and works alongside your own managers.
Screened before you ask.
Nobody applies to join our network. We search for the people we want, approach them ourselves, and admit the ones who pass. Every check below is finished before your brief arrives.
- 01
We interview every person
Technical depth, delivery history and real seniority, established in a conversation rather than read off a document. The interview is in English, so nobody is taking a resume line on trust.
- 02
Background screening
Identity, employment history and education verified through HireRight. Independent of us, documented, and the kind of evidence a security team can accept without our word for it.
- 03
Credentials checked at source
Certifications verified rather than believed. If we cannot verify one, it does not appear on the profile you see.
- 04
We look at the work
Where applicable, we review public repositories, technical output and other evidence of delivered work, so the judgment rests on what someone has built rather than what they have claimed.
The other disciplines.
Have a role you need filled this month?
A short conversation is enough to know whether the model fits. No deck, no sales call, and no NDA needed for the first pass.