Hire AI/ML Engineers
- 48–72 hour shortlist target
- Interview every candidate yourself
- Full-time, part-time or hourly
- NDA, IP assignment and replacement support
Indicative estimate — final quote depends on skills and scope.
AI/ML Engineers who fit your team
Most AI value is lost between a promising prototype and a reliable product. Our AI/ML engineers bridge that gap: they frame the problem, prepare data, train or select models, and deploy them with the monitoring and evaluation needed to trust them in production.
That includes classic ML — forecasting, classification, recommendations — and generative AI: retrieval-augmented generation, LLM agents and tool use, evaluation harnesses and guardrails. They choose the simplest approach that meets your accuracy, latency and cost targets.
Deep in the stack you use
Typical responsibilities
- 01Frame business problems as measurable ML tasks
- 02Prepare datasets, features and evaluation sets
- 03Train, fine-tune or select and benchmark models
- 04Build RAG pipelines, LLM features and agents with guardrails
- 05Deploy, monitor and retrain models in production
- 06Track cost, latency, accuracy and drift
Estimate the cost to hire AI/ML Engineers
Configure your team
Niche skillsWhy hire AI/ML Engineers from us
Engineers who ship to production, not just notebooks
Evaluation-driven approach to LLM and ML work
Practical about cost, latency and data privacy
Can work with your data team or bring a data engineer
You interview every specialist before they join
Prefer a managed project?
AI & Machine Learning Solutions
Predictive models, computer vision, NLP and MLOps, from use-case discovery to production deployment and monitoring.
Learn moreGenerative AI & LLM Applications
Secure, production-grade generative AI: RAG assistants, chatbots, AI agents and copilots built on leading LLMs and grounded in your business data.
Learn moreData Engineering & Analytics
Data pipelines, warehouses and lakehouses on Snowflake, Databricks, BigQuery and Fabric, built for reliable analytics, reporting and AI.
Learn moreAlso hiring for
All 24 rolesOur target is to share shortlisted, pre-screened ai/ml engineers profiles within 48–72 hours of a clear requirement. Niche skill combinations or very senior profiles can take longer, and we will tell you upfront if we expect that.
Ready to hire AI/ML Engineers?
Share your stack, seniority and timeline. We target a shortlist of pre-screened profiles within 48–72 hours — free and with no obligation.