Job description
I'm supporting a client looking for a Technical Solutions Engineer to help deliver high-quality, AI-driven solutions for global customers.
They're after someone hands-on with Python (pandas, numpy, APIs, SDKs etc.) and ideally some Airflow experience. You'll work across technical delivery, data pipeline design, and client engagement - blending strong problem-solving with clear communication.
What you'll do:
- Partner with clients to understand their needs and design tailored technical solutions.
- Build and configure data pipelines using modern ML and data labelling tools.
- Monitor performance, troubleshoot issues, and continuously optimise solutions.
- Collaborate closely with sales and customer success teams to ensure smooth project delivery.
What they're looking for:
- 3+ years' experience in a technical role (solutions engineer, data analyst, data scientist, or similar).
- Strong Python skills (pandas, numpy, APIs, SDKs).
- Understanding of software development best practices (version control, testing, etc.).
- Solid grasp of data quality metrics and ML concepts - LLM knowledge or prompt engineering experience is a bonus.
- Confident communicator, comfortable working directly with technical and commercial teams.
To be considered, please respond with your latest CV in English.
