Technisch engineer.

This position presents an excellent opportunity to join our team in a senior capacity, working with a global audience of stakeholders. SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. Operating through a global house of specialist recruitment brands we know how to achieve the goals of STEM professionals seeking both permanent and contract work and understand the organisations who need them. Design and develop AI models and solutions using Azure Open AI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges.
Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks.
Collaborate with business analysts, data scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact.
Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings.
Conduct data analysis and feature engineering to prepare data for use in AI models, utilizing Azure Data Lake and other data storage solutions.
Develop robust testing and validation processes to ensure the accuracy and reliability of AI models and solutions.
Align all operations procedures to service expectations, security requirements and other quality standards. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles.
Extensive experience with Azure AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB.
Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps.
Deep understanding of Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications.

University degree in computer science or software engineering and/or 5+ years equivalent work experience within a cloud environment.
Microsoft Azure AI Engineer Fundamentals / Associate
Microsoft Azure Data Engineer
Microsoft Data Scientist Associate

The choice to work flexibly from home and the office, in line with our hybrid working principles (one anchor day per week)
Bonus linked to company and personal performance
Generous 28 days holiday allowance, plus public holidays
Annual leave purchase scheme
Five days paid Caregiver/Dependant leave per annum
Five paid days off per year for volunteering `
Private healthcare, discounted dental insurance and health care cashback scheme
Opportunity to participate in the company share scheme
Access to a range of retail discounts and saving

We’re committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we’ll be happy to help.