AI Solutions Engineer
AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments
* Contract Type: Hybrid / Bedford
* Daily Rate: £600-£650 (via Umbrella)
* 9 months initial contract
We are seeking two AI Solutions Engineers to lead the design, development, and deployment of AI solutions. This hands‑on technical role focuses on building scalable AI‑powered services for both B2B and B2C applications. The successful candidates will work under the coordination of the Lead Data Scientist and closely with stakeholders to integrate AI capabilities into existing systems, leveraging advanced Microsoft Azure services.
Day-to-day of the role:
* Design and develop AI solutions using Microsoft Azure services including AI Foundry, Open‑AI services, and Microsoft Copilot Studio.
* Collaborate with cross‑functional teams to integrate AI technologies into business processes and consumer applications.
* Manage the full lifecycle of AI solution development from concept to deployment and maintenance.
* Utilize programming skills in Python to automate processes and enhance functionality.
* Work with large datasets for data preprocessing, feature engineering, and model evaluation.
* Develop and maintain REST APIs and microservices architectures.
* Monitor, evaluate, and apply governance frameworks for AI/ML models in production environments.
* Prepare technical documentation and effectively communicate complex concepts to both technical and non‑technical stakeholders.
Required Skills & Qualifications:
* Minimum 3 years of experience in AI solution engineering, specifically in enterprise environments.
* Demonstrable experience with Microsoft Azure AI services, including AI Foundry and Microsoft Copilot Studio.
* Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit‑learn.
* Experience with Large Language Models, prompt engineering, and RAG implementations.
* Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML.
* Excellent technical documentation and communication skills.
* Desirable knowledge in Docker, Kubernetes, and understanding of financial services or regulatory environments.
In the first instance, please submit your CV.
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