AI Engineer/Developer
Our client is in the Financial Sector and is looking to grow their team with a new AI Engineer. The role is hybrid with 2 days in Central London, 3 days at home. This is a brand new role in...
Our client is in the Financial Sector and is looking to grow their team with a new AI Engineer. The role is hybrid with 2 days in Central London, 3 days at home. This is a brand new role in...
Design and build generative AI applications using Python, React, and AWS, with a focus on LLMs, RAG pipelines, and AI agents. Integrate AI capabilities into existing systems and collaborate with technical and business teams to deliver production-grade solutions in a financial services environment.
This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....
Lead the end-to-end delivery of AI solutions, from strategy and proof of concept to production deployment, with a focus on LLMs, RAG pipelines, and AI agents. Collaborate across data, infrastructure, and business teams to integrate scalable AI tools into enterprise workflows and drive measurable operational impact.
This role involves designing and implementing AI solutions to improve operational efficiency, defining LLM architecture, and building AI tools like assistants and workflow automation. You will work within an Azure cloud environment, collaborate with product teams, and act as a key partner to the Director of AI.
Design and operate a scalable AI platform supporting RAG pipelines, LLM orchestration, and vector search on Microsoft Azure and Microsoft Foundry. Focus on productionising prototypes into resilient, observable, and secure services using infrastructure-as-code, CI/CD, and cloud-native practices. Collaborate with AI Engineering, DevOps, and Info-Sec to ensure reliability, performance, and compliance at scale.
An Applied AI Engineer will work directly with enterprise customers to design, build, and deploy AI systems that solve real-world business problems. The role involves hands-on coding, system integration, and technical leadership to guide AI solutions from prototype to production, with a focus on reliability, safety, and measurable impact. The position requires deep technical expertise and strong collaboration with both customer teams and internal OpenAI groups.
An Applied AI Engineer will work directly with enterprise customers to design, build, and deploy production-grade AI systems that solve high-impact business problems. The role involves hands-on coding, architecture design, integration, evaluation, and guiding technical decisions across safety, reliability, cost, and governance. Engineers will transition prototypes into scalable, reliable systems while contributing reusable tooling and influencing product development through real-world deployment insights.
Lead the design and implementation of AI systems within a regulatory technology environment, focusing on LLM-enabled architectures, RAG pipelines, and agent workflows. Define technical standards, improve CI/CD for AI, and ensure robust observability across performance, safety, and compliance. Collaborate with senior stakeholders to deliver scalable, secure AI solutions in priority regulatory domains.
This role involves building and optimizing ecommerce platforms, AI-driven customer communication agents, and automated workflows to enhance customer experience and business performance. You'll develop WordPress sites, integrate payment and booking systems, and implement AI solutions using OpenAI APIs, RAG, and vector search. The role emphasizes translating commercial needs into technical solutions, with a focus on measurable outcomes like conversion rates, lead generation, and operational efficiency.
Design and build scalable AI data pipelines and cloud-native systems to productionise machine learning and NLP models. Collaborate with data scientists and engineers to transform research into secure, high-performance AI services using modern MLOps practices. Work with cutting-edge technologies including LLMs, vector databases, and retrieval-augmented generation in a remote-first, innovation-driven environment.
This role involves designing and building scalable AI data pipelines and cloud-native microservices, with a focus on productionising machine learning, NLP, and generative AI models. The engineer will collaborate closely with data scientists and software engineers to transform research into robust, cloud-based systems using modern MLOps practices. Emphasis is placed on technical leadership, mentoring, and shaping engineering standards within a global AI team.
This role involves building and optimizing ecommerce platforms, AI-driven customer communication agents, and automated workflows to enhance customer experience and business performance. The engineer will develop WordPress sites, integrate booking and payment systems, and implement AI solutions using OpenAI APIs, RAG, and vector search. Success is measured by increased conversions, reduced manual effort, and reliable AI automation integrated with CRM and customer service platforms.
This role involves supporting the development and deployment of AI and machine learning models, working with large datasets, and collaborating with software engineers and product teams. You'll contribute to backend development, API integrations, and research new AI frameworks, ensuring responsible and ethical AI development.
This role involves designing, building, and integrating AI applications into end-to-end workflows, embedding agentic AI into customer and operational processes, and collaborating with cross-functional teams to deliver robust, production-ready solutions. The focus is on turning emerging AI capabilities into practical, high-value implementations while ensuring reliability, resilience, and safety.