other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous Practical knowledge of GenAI and LLM offerings in the market Skilled in working on large scale agile transformation projects You should also be comfortable taking ownership as well as working as More ❯
other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous Practical knowledge of GenAI and LLM offerings in the market Skilled in working on large scale agile transformation projects You should also be comfortable taking ownership as well as working as More ❯
software engineering background and experience in deploying AI-based solutions. Key Responsibilities Technical Responsibilities : Design and develop backend systems that integrate healthcare AI/LLM modules for tasks such as data extraction, summarization or decision support. Design and implement systems that integrate with the client side such as Web UI More ❯
showcase business value—leveraging capabilities such as data ingestion, ETL, data modelling, and rich visual analytics (dashboards, reports, alerts) Demonstrate AI-driven features including LLM-powered agents, predictive analytics, and automated workflows to trigger intelligent actions and drive real-time decision-making Lead hands-on Proof of Concepts (POCs) and More ❯
showcase business value—leveraging capabilities such as data ingestion, ETL, data modelling, and rich visual analytics (dashboards, reports, alerts) Demonstrate AI-driven features including LLM-powered agents, predictive analytics, and automated workflows to trigger intelligent actions and drive real-time decision-making Lead hands-on Proof of Concepts (POCs) and More ❯
showcase business value—leveraging capabilities such as data ingestion, ETL, data modelling, and rich visual analytics (dashboards, reports, alerts) Demonstrate AI-driven features including LLM-powered agents, predictive analytics, and automated workflows to trigger intelligent actions and drive real-time decision-making Lead hands-on Proof of Concepts (POCs) and More ❯
showcase business value—leveraging capabilities such as data ingestion, ETL, data modelling, and rich visual analytics (dashboards, reports, alerts) Demonstrate AI-driven features including LLM-powered agents, predictive analytics, and automated workflows to trigger intelligent actions and drive real-time decision-making Lead hands-on Proof of Concepts (POCs) and More ❯
varied backgrounds. PREFERRED QUALIFICATIONS Proven experience developing applications using generative AI tools and foundational models, including prototypes and production-ready solutions. Proficiency with modern LLM/AI tools (e.g., LlamaIndex, Amazon Q, LangChain, and vector databases), and a strong interest in exploring new tools and techniques within the GenAI ecosystem. More ❯
experience in AI/ML application development. Strong understanding of software engineering principles and best practices across multiple languages and frameworks. Practical experience with LLM/VLM frameworks Proficiency with Microsoft Azure AI stack Experience in Azure-based application architecture using AKS, ACA, Azure Functions, and microservices design patterns. Solid More ❯
GWAPT, GCSA), CISSP, or CSSLP. Experience working in SaaS, and multi-tenant cloud environments. Knowledge of machine learning security (AI/ML model risks, LLM security best practices). Familiarity with attack surface management and threat intelligence. What do we offer? We value our people and offer a competitive salary More ❯
or similar) A collaborative approach to PR review and architecture discussions Desirable (but not essential): Event-driven architecture (e.g., SNS, SQS, EventBridge) AI/LLM integration (Python experience welcome) Data pipelines and ETL workflow knowledge Experience scaling cloud services and optimising for performance and cost in serverless environments Location & Flexibility More ❯
including application, data, cloud, and infrastructure architecture disciplines. Hands-on experience with Python and/or Java programming. Fundamental understanding of AI, ML, and LLM concepts, terminology, and technology, preferably with practical experience. Understanding of databases and database technologies. Ability to independently address design and functionality challenges; self-starter in More ❯
Responsibilities: Build and maintain backend services using Python, FastAPI, and other frameworks Develop and optimize front-end UI with NextJS, React, and TypeScript Develop LLM and ML services to generate content for presentations (images, infographics, icons, content, ...) Collaborate on database management and query optimization Contribute to all phases of More ❯
systems, particularly using Prometheus. Troubleshoot and optimize Linux-based systems (e.g., Red Hat, CentOS, Ubuntu). xAI's Grok is a powerful, multilingual largelanguagemodel available on X and via API, focused on accelerating scientific discovery. Experience Requirements: Expert in at least one programming language that compiles to machine … exotic places around the world. Ask Sage is a versatile, secure Generative AI platform for government and commercial use, offering significant productivity improvements and LLM-agnostic support. Experience Requirements: 3+ years in site reliability engineering, Kubernetes administration, or related role. Deep expertise of Kubernetes and containers. Strong understanding of cloud More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
AI Tech Suite
systems, particularly using Prometheus. Troubleshoot and optimize Linux-based systems (e.g., Red Hat, CentOS, Ubuntu). xAI's Grok is a powerful, multilingual largelanguagemodel available on X and via API, focused on accelerating scientific discovery. Experience Requirements: Expert in at least one programming language that compiles to machine … exotic places around the world. Ask Sage is a versatile, secure Generative AI platform for government and commercial use, offering significant productivity improvements and LLM-agnostic support. Experience Requirements: 3+ years in site reliability engineering, Kubernetes administration, or related role. Deep expertise of Kubernetes and containers. Strong understanding of cloud More ❯
product drastically improves the working lives of our users, enables our customers to cover more risks, more competitively. The Role As an AI Engineer (LLM), you will play a critical role in developing our core LargeLanguageModel (LLM) service. Our LLM service underpins our Generative AI powered risk digitization … services to leverage the power of LLMs at scale, regardless of the underlying foundational model. You will be responsible for building, deploying, and optimizing LLM-powered solutions that directly impact our customer's ability to understand and process risk in commercial insurance. What you will be doing Problem Solving & Collaboration … processing in commercial insurance that can be solved with LLMs. Collaborate closely with consuming service teams to define clear, efficient, and scalable interfaces for LLM tasks. Development & Deployment: Design, develop, test, and deploy domain-specific LLM tasks (e.g., information extraction, risk assessment, document summarization, etc.) that are readily consumable by More ❯
Responsibilities: Must have at least 4 years of Python experience. Must have at least 4+ years working experience. Develop software that provides visibility into LLM models and offers configurability for tuning and evaluation. Take a hands-on approach to quickly prototype, test, and iterate on solutions, moving from proof-of More ❯
sub-selection methods together with the latest training insights from our researchers. Engineer and Develop : Design, develop, and optimize scalable data pipelines to support LLM training and evaluation. You will also help us develop this in a robust and testable way, through careful source control and a solid back-up More ❯
and computational efficiency. This requires staying current with academic research and industry developments to identify opportunities for platform evolution. The role demands expertise in LLM optimization techniques including fine-tuning on domain-specific data, crafting robust prompting strategies, and implementing retrieval-augmented generation style architectures. You'll apply these techniques More ❯
grade applications. Apply if: You have strong foundational software engineering knowledge, including data structures, algorithms, system design, and OOP. You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g. TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy and maintain production-grade Machine More ❯
data-driven ML inference pipelines using Kafka. There will also be the opportunity to get involved in the continued development of our suite of LLM and Data Science focused modules. Help design, build and extend Seldon's Core v2 MLOps platform, contributing to improved reliability, scalability and performance as well More ❯
Java preferred), Scripting (Java Script, PHP, Python), Integration skills (REST, SOAP, and Integration tools), and SQL. Good foundational or working knowledge of GenAI, RAG, LLM’s & AI agents in enterprise applications. Understanding of Open Source in solutions including coding implications is a plus. Hands-on experience working with at least More ❯
Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which More ❯
Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities with LLM empowerment. You will own high visibility programs with broad visibility and impact. As a Senior Scientist within Alexa, you set the standard for scientific excellence More ❯