3 of 3 Azure Machine Learning Jobs in Slough

Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a wide range of high-impact … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. … within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. More ❯

Group is recruiting a Senior Azure AI Engineer (Contract) to lead the design, development, and deployment of next-generation Agentic AI solutions built on Microsoft Azure AI Foundry . This is a hands-on engineering role, ideal for someone passionate about building secure, compliant, and scalable AI systems that drive real operational value. You … be part of a collaborative team shaping how AI is adopted across a national-level environment. Key Responsibilities Design, develop, test, and deploy Agentic AI solutions on Microsoft Azure AI Foundry. Build and optimise AI pipelines , orchestration, and observability frameworks. Ensure solutions meet security, governance, and compliance standards. Collaborate with cross-functional teams to align AI projects … Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent communication More ❯

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security … models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data More ❯