18 of 18 Remote Retrieval-Augmented Generation Jobs in the South East

personal and professional development! Requirements: Strong Python scripting skills Strong understanding of LLMs Experience delivering Gen-AI projects Experience with Retrieval-Augmented Generation (RAG) Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to around More ❯

personal and professional development! Requirements: Strong Python scripting skills Strong understanding of LLMs Experience delivering Gen-AI projects Experience with Retrieval-Augmented Generation (RAG) Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to around More ❯

accuracy and trust. Responsibilities: Fine-tune and optimize foundation models (e.g., LLaMA, FinBERT) for financial text and transaction data. Build retrieval-augmented generation (RAG) pipelines with Hugging Face, Lang Chain, and vector databases. Implement human-in-the-loop systems to continuously validate, improve, and govern AI outputs. Deploy and monitor ML models in production More ❯

cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use More ❯

cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use More ❯

cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and colleagues, using data visualisation, storytelling, and presentation skills. Ensure the ethical use More ❯

third-party services. Develop front-end interfaces using JavaScript and frameworks such as React. Build and deploy Agentic systems and Retrieval-Augmented Generation (RAG) systems with Large Language Models (LLMs). Participate in privacy automation programs, including workflows for user approvals and reviews. Implement and maintain CI/CD pipelines in Jenkins to streamline More ❯

time management skills. Bonus skills • Experience deploying and managing applications with Azure and Docker. • Familiarity with frameworks like LangChain and Retrieval-Augmented Generation (RAG) models for AI-driven applications. • Experience with pandas for data manipulation. What’s on offer • Regular salary reviews recognising performance and contribution. • Generous annual leave: 25 days plus three days More ❯

dimensional modelling to deliver consistent, trusted analytics. Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment. Ensure security and governance through robust access controls, including RBAC, SSO, token policies, and pseudonymisation frameworks. Develop resilient data flows for both batch and streaming More ❯

designing and managing databases in Postgres. AI/ML Expertise: Build and deploy Agentic systems, MCP servers/clients, and Retrieval-Augmented Generation (RAG) systems with Large Language Models (LLMs). Extract, transform, and load (ETL) data to build vector databases with embedding models. DevOps and Maintenance: Implement CI/CD pipelines to streamline More ❯

huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a plus Experience with latency optimisation and quantisation preferred Additional Information What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus More ❯

in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale distributed systems and incident response. Familiarity with LLM technologies (RAG, prompt engineering, evaluation methods). Knowledge of Azure services and Microsoft's ecosystem. Ability to work independently and collaboratively. Degree in Data Science, Computer Science, or related field (preferred). More ❯

in a distributed team environment. Customer-first mindset with a data-driven approach to problem-solving. Experience with large-scale distributed systems and incident response. Familiarity with LLM technologies (RAG, prompt engineering, evaluation methods). Knowledge of Azure services and Microsoft's ecosystem. Ability to work independently and collaboratively. Degree in Data Science, Computer Science, or related field (preferred). More ❯

to junior consultants Supporting Microsoft partnership activities and training sessions Requirements: Proven experience with Microsoft 365 Copilot, Copilot Studio, and related technologies Strong understanding of AI concepts including LLMs, RAG, and prompt engineering Familiarity with Azure services and cloud ecosystems Excellent communication and presentation skills A passion for mentoring and developing engineering talent Experience with distributed systems and incident response More ❯

to junior consultants Supporting Microsoft partnership activities and training sessions Requirements: Proven experience with Microsoft 365 Copilot, Copilot Studio, and related technologies Strong understanding of AI concepts including LLMs, RAG, and prompt engineering Familiarity with Azure services and cloud ecosystems Excellent communication and presentation skills A passion for mentoring and developing engineering talent Experience with distributed systems and incident response More ❯

a collaborative, agile environment. Key Responsibilities Deliver high-quality full stack solutions with an emphasis on React and modern JavaScript/TypeScript. Contribute to AI/LLM projects including RAG, prompt engineering, and GenAI system development. Collaborate with designers and product teams to translate AI into intuitive, user-friendly experiences. Build PoCs and prototypes in short innovation cycles. Develop cloud … Strong frontend capability with React and JavaScript/TypeScript. React expertise (SvelteKit knowledge is a plus). Recent, hands-on AI/LLM development experience - ideally involving prompt engineering, RAG, or GenAI systems. Proven track record in PoC delivery, rapid prototyping, and agile sprints. Cloud-native development (AWS or Azure), containerisation, CI/CD. Experience working in regulated industries (energy More ❯

a collaborative, agile environment. Key Responsibilities Deliver high-quality full stack solutions with an emphasis on React and modern JavaScript/TypeScript. Contribute to AI/LLM projects including RAG, prompt engineering, and GenAI system development. Collaborate with designers and product teams to translate AI into intuitive, user-friendly experiences. Build PoCs and prototypes in short innovation cycles. Develop cloud … Strong frontend capability with React and JavaScript/TypeScript. React expertise (SvelteKit knowledge is a plus). Recent, hands-on AI/LLM development experience - ideally involving prompt engineering, RAG, or GenAI systems. Proven track record in PoC delivery, rapid prototyping, and agile sprints. Cloud-native development (AWS or Azure), containerisation, CI/CD. Experience working in regulated industries (energy More ❯

a collaborative, agile environment. Key Responsibilities Deliver high-quality full stack solutions with an emphasis on React and modern JavaScript/TypeScript. Contribute to AI/LLM projects including RAG, prompt engineering, and GenAI system development. Collaborate with designers and product teams to translate AI into intuitive, user-friendly experiences. Build PoCs and prototypes in short innovation cycles. Develop cloud … Strong frontend capability with React and JavaScript/TypeScript. React expertise (SvelteKit knowledge is a plus). Recent, hands-on AI/LLM development experience - ideally involving prompt engineering, RAG, or GenAI systems. Proven track record in PoC delivery, rapid prototyping, and agile sprints. Cloud-native development (AWS or Azure), containerisation, CI/CD. Experience working in regulated industries (energy More ❯