3 of 3 Permanent Azure AI Jobs in the Thames Valley

Role Overview We are seeking a Machine Learning (ML) Engineer to join our expanding Data & AI team, focusing on delivering AI solutions for public sector and enterprise clients. The ML Engineer will collaborate with data scientists, architects, software engineers, business analysts, and project managers to develop … innovative AI-driven solutions. This role offers the chance to work with a passionate team on impactful projects across various industries, helping clients achieve strategic goals through data and AI. Responsibilities Create and customize machine learning models, primarily using Azure AI services, for use … cases like NLP, computer vision, speech recognition, and anomaly detection. Integrate Azure AI services with other Azure tools such as Azure Machine Learning, Azure Databricks, and Azure Cognitive Search. Handle data ingestion, processing, and storage for AI More ❯

Job Description: As an AI Solutions Architect at Mars Global Services, you will lead the design, integration, and deployment of AI-powered solutions to enhance the Associate experience, with a strong focus on Generative AI (GenAI) and Conversational AI. In this key role, you … will drive AI transformation initiatives within a globally recognized brand, influencing enterprise-wide adoption of AI solutions. Your work will be pivotal in ensuring the successful implementation of scalable and secure AI solutions across Mars' enterprise platforms, while driving AI adoption across … s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent industry experience). 7+ years of experience in AI/ML solution development, architecture, and enterprise integration. Expertise in LLMs, NLP/NLU, Conversational/GenAI, AI Search, and Virtual Agents. More ❯

secure data platforms to support business insights, analytics, and other data-driven initiatives. Job Specification ( Technical Skills) : Cloud Platforms: Expert-level proficiency in Azure (Data Factory, Databricks, Spark, SQL Database, DevOps/Git, Data Lake, Delta Lake, Power BI), with working knowledge of Azure WebApp and … Networking. Conceptual understanding of Azure AI Services, ML, Unity Catalog, and data catalog technologies such as Purview. Strong proficiency in Azure or Snowflake or AWS or GCP is required. Data Engineering: Advanced proficiency in SQL, Python, and at least one additional programming language (Java More ❯