01
Data science and statistical models
Investigate statistical relationships and establish a suitable baseline.
Request this expertise ↗AI & machine learning
AI & machine learning
A scoped modelling or analysis brief with review criteria and documented limitations. Suitable specialists for AI & machine learning. We establish the task, identify the relevant role and define the search brief together.
At a glance
What does this service include?
This area brings together Data science and statistical models, Machine learning engineering, Model validation, AI-assisted data workflows. You can enquire about a specialist role or a defined task. Scope and responsibilities are agreed before work starts.
02
Machine learning engineering
Integrate validated models into versioned and maintainable workflows.
Request this expertise ↗03
Model validation
Assess model outputs using suitable test data and business cases.
Request this expertise ↗04
AI-assisted data workflows
Connect AI processing with quality rules and controlled exception handling.
Request this expertise ↗The engagement outcome
An outcome you can assess.
A scoped modelling or analysis brief with review criteria and documented limitations.
Business control values are agreed before visualisation. Ratios, balances and totals receive distinct test cases. Acceptance covers source data, typical filter combinations, refresh and documented handover.
Make the brief concrete
- What should the engagement make possible?
- Which systems and information are available?
- Which experience is essential?
- When should it start, and who decides?
Relevant roles
Which specialist do you need?
Data scientist ↗Machine learning engineer ↗MLOps engineer ↗AI engineer ↗Generative AI consultant ↗NLP Engineer ↗Computer Vision Engineer ↗Prompt Engineer ↗AI Product Manager ↗AI Solution Architect ↗LLM Engineer ↗RAG Engineer ↗Machine Learning Scientist ↗ML Research Engineer ↗Applied Scientist ↗
Tools and working environments
Areas of work
Your assignment, made concrete
What should change for your team?
A scoped modelling or analysis brief with review criteria and documented limitations..
Choose the tasks you actually need. This creates an initial scope for the conversation.
Your selected scope
Refine the scope together ↗Select one or more work packages.
Capability compass
Which combination moves your project forward?
Connect your task to relevant capabilities. A tool selection narrows the working environment; the results explain each professional connection.
Starting pointAI & machine learningSearch the full catalogue ↗
03Reasoned role selectionTask · capabilities · outcome
The professional connection becomes clear through tasks and possible outputs.
Data scientist
Explore data and develop suitable statistical models for a specific question.
Your possible outcome
Analysis with a baseline, validation and clear interpretation of limitations.
Machine learning engineer
Turn a validated model into a maintainable technical workflow.
Your possible outcome
Versioned model deployment with monitoring, tests and a documented fallback.
MLOps engineer
Connect model versions, data dependencies, deployment and monitoring in a reproducible workflow.
Your possible outcome
Versioned model pipeline with checks, operational metrics and documented rollback.
Capability profiles for orientation. An individual’s suitability is assessed against the search brief.
Refine the selection ↗Your assignment with VB Analyst
Choose expertise. Define the engagement.
A capacity gap does not always require a permanent role. Choose a model by responsibility, duration and desired outcome.
Useful information for your enquiry
AI & machine learning
Which of these tasks needs covering: Data science and statistical models; Machine learning engineering; Model validation?
Possible work objective
A scoped modelling or analysis brief with review criteria and documented limitations.
- Task, existing systems and scope
- Essential criteria, internal contact and approval
- Preferred start, duration, capacity and budget range
You can leave undecided details open. Non-confidential information is enough for initial contact.
Selected model: Managed service
Discuss these requirements ↗View this model and its responsibilities ↗What happens next
From enquiry to a well-prepared start
- Define the requirement
We clarify the task, priority and outstanding requirements with you.
- Assess specialist fit
Relevant experience is assessed against the assignment. Open questions and working parameters remain visible.
- Agree selection and scope
You decide through specialist discussions. Capacity, terms and responsibilities are agreed.
- Prepare onboarding
Access, the first milestone, contacts and handover are established.
How soon can work start?
Timing depends on suitable availability, selection, agreement and access. For urgent needs, separate essential initial work from later tasks. A binding start date is confirmed for the specific assignment.
A useful starting point
Anything still unclear?
Short answers for your next step. We can work through your specific situation together.
Discuss my question ↗What belongs to this area?
A scoped modelling or analysis brief with review criteria and documented limitations.
Can I hand over one specific task?
Yes, if inputs, outputs and ownership can be defined. We agree which parts stay with your team and how acceptance is assessed.
Are the specialists available now?
The profiles describe capabilities and typical assignments. Actual people, availability, terms and engagement are assessed for your specific need.