AI and ML talent that takes ideas into production.
We recruit machine learning engineers, data scientists, generative AI and MLOps specialists who build AI that works reliably outside the demo.
The AI talent market moves fast.
Demand for AI skills has outpaced supply, and job titles mean different things in different organisations. A GenAI engineer in one team is a data scientist in another.
We help you define the skills the role really needs, then find people who have shipped models and AI applications into production, with evaluation, monitoring and guardrails in place.
AI roles we recruit
- Machine learning engineers
- Data scientists
- Generative AI and LLM engineers
- MLOps and ML platform engineers
- AI architects and AI product leads
- NLP and computer vision specialists
Skills we screen for.
Generative AI
Retrieval-augmented generation, agents, prompt design and evaluation on Azure OpenAI, Amazon Bedrock and open models.
Machine learning
Forecasting, classification, recommendation and NLP with Python, scikit-learn, PyTorch and Spark.
Production and MLOps
MLflow, feature stores, model monitoring, CI/CD and responsible AI practices.
Building a career in AI?
From experienced data scientists to engineers moving into generative AI, we'll help you find roles with real problems, real data and teams that ship.
We'll also give you an honest view of each team's AI maturity before you apply.
We can help you
- Find AI and ML roles, permanent and contract
- Plan a move into GenAI or MLOps
- Prepare for technical and case-study interviews
- Show production impact on your CV
Common questions.
What's the difference between a data scientist and an ML engineer?
Data scientists focus on analysis, experimentation and model development. Machine learning engineers focus on taking models into production: pipelines, serving infrastructure, monitoring and automation. Many roles blend both, which is why a clear brief matters.
Can you recruit generative AI engineers?
Yes. We recruit engineers with hands-on experience building retrieval-augmented generation (RAG) applications, AI agents and evaluation frameworks on platforms such as Azure OpenAI and Amazon Bedrock.
Do you recruit AI leadership roles?
Yes. Through our leadership search service we recruit heads of AI, AI architects and AI product leaders.
Hiring for AI or machine learning?
Tell us what you're building. We'll help you shape the role and find people who've done it before.