5 of 5 Remote Azure AI Jobs in West Sussex

Job Title: Azure AI Engineer Location : Fully Remote UK Job Type: 6 Month Contract + chance for extension Interview Process : Video Interviews held remotely Rate: DOE Outside IR35 A Consultancy we are working with have won a bid for a project with a media client who … plan to improve their current AI infrastructure (chatbots, and demand forecasting). The client operates primarily in a Microsoft environment hence demonstratable experience using Azure functions in an AI context is a must. AI Engineer Key Responsibilities: Develop and optimise AI … inventory management, and dynamic pricing to optimise operations and reduce costs. Build machine learning models for content recommendation engines and audience insights. Design AI-driven marketing tools, customer segmentation models, and automated A/B testing to improve targeting and ad performance. Implement generative AI techniques More ❯

AI Lead - 100% Remote - 12 month FTC - Up to £85K! My Consultancy client are on the lookout for a skilled AI Lead to: Research, prototype, plus build POCs that explore boundaries of agentic software development. Stay plugged into latest LLM tooling and emerging platforms Develop internal … and customer-facing demos Contribute to technical blogs, vlogs, and the occasional roundtable or industry event. Create compelling AI-driven stories and artefacts for prospects. Core Tech: OpenAI APIs, Semantic Kernel, AutoGen, LangChain, etc. Azure (especially Azure AI), .NET (C#) OR Python … and C/C++ VS Code + Copilot, GPT-powered dev workflows, experimental IDE plugins If you are: Passionate about the future of AI and agentic systems as an AI Lead. Have several years of software development experience and recent experience as someone who is an More ❯

service to thousands of residential and commercial customers, we’re entering an exciting phase of rapid digital transformation. We're investing heavily in AI and automation to reimagine how we deliver customer service, field operations, and internal workflows. We’re now looking for an experienced Generative AI … to lead the charge in developing and scaling intelligent systems and agentic applications that drive meaningful business outcomes. The Role As our Generative AI Engineer , you’ll be at the forefront of innovation — designing and deploying next-generation AI systems using large language models (LLMs), multi … applications. This role is hands-on and strategic: you’ll build solutions end-to-end while also helping shape the company’s broader AI strategy. You Will: Design and build production-ready GenAI applications using LLMs and multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen). Collaborate with stakeholders More ❯

proven experience of managing, mentoring and upskilling Data Scientists. Collaborating cross-functionally, the role will focus on the delivery of Data Science and AI programmes across the organisation, driving Data Quality, Data Governance and Best Practice. Proven and demonstratable experience of Python coding, clouding computing as well as … and influencing skills to lead both technical and non-technical stakeholders of all levels through the delivery process. Key Responsibilities: Lead the delivery AI and Data Science programme across the organisation Lead and develop an existing Data Science Team to deliver Data Science solutions Champion Data Science and … Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work. Contribute to the development of the AI and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care More ❯

Have a solid understanding of design practices, system architecture, application security and conducting code reviews. Experience building applications for the cloud such as Azure (pref.), AWS or GCP Know how to build REST APIs and have experience of messaging Worked with defining data models and interacting with databases … we’d love to see/Amazing Extras: Experience with Docker, Kubernetes or other serverless application delivery platforms Used GIT, Jenkins, GitHub or Azure DevOps Worked Generative AI and large language models such as Azure AI Services or Chat GPT. Used Entity More ❯