101 to 125 of 243 Remote/Hybrid LLM Jobs

We're partnering with a globally recognised consulting firm that's investing heavily in AI innovation and searching for a Senior Principal AI Engineer to play a pivotal role in shaping and delivering cutting-edge ...

Title :Senior AI Platform Architect – Agentic SDLC Automation Location : London, UK - Hybrid 2 to 3 days 1. The Role We are looking for an experienced AI Platform Architect to design, architect, build, and operationalise an ...

products . Key Responsibilities AI Strategy & Architecture Define and lead the end-to-end AI architecture , encompassing: Retrieval-Augmented Generation (RAG) Large Language Model (LLM) integration and orchestration Agent-based workflows and services Establish scalable, secure, and reusable AI design patterns aligned to enterprise standards Product-Focused Delivery Lead ...

like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model for GPU usage, scaling, and data movement ️ Package for the for the Senior Machine Learning Engineer, Quantization, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa ...

senior AI Security, Security Architecture, Cyber Security Architecture, Cloud Security Architecture, or Application Security role Hands-on experience securing AI, Generative AI, LLM, or agent-based environments in complex organisations Strong understanding of AI technologies and their business application Experience designing AI security controls, governance frameworks, secure workflows, and integration ...

senior AI Security, Security Architecture, Cyber Security Architecture, Cloud Security Architecture, or Application Security role Hands-on experience securing AI, Generative AI, LLM, or agent-based environments in complex organisations Strong understanding of AI technologies and their business application Experience designing AI security controls, governance frameworks, secure workflows, and integration ...

HTML and CSS experience Comfortable working directly within a codebase and collaborating with engineering teams Demonstrable experience designing AI-native products, conversational interfaces or LLM-powered applications Understanding of AI interaction patterns, prompt workflows, agentic systems and user experiences built around large language models Experience working with tools such ...

Oréal), this SaaS platform is completely redefining how enterprise brands scale growth across affiliates, influencers, and creators. With massive product innovation (including cutting-edge LLM/AI visibility tools) and a recent landmark industry partnership that cements their market monopoly, they are expanding their elite London sales team. This ...

live environments Experience working with APIs and integration patterns, including troubleshooting orchestration issues Familiarity with Terraform and working with Infrastructure as Code Exposure to LLM/conversational AI/chatbot configuration Technology Environment AWS Services Amazon Connect AWS Lambda EC2, S3, RDS, DynamoDB CloudWatch API Gateway Integration & Architecture REST APIs ...

live environments Experience working with APIs and integration patterns, including troubleshooting orchestration issues Familiarity with Terraform and working with Infrastructure as Code Exposure to LLM/conversational AI/chatbot configuration Technology Environment AWS Services Amazon Connect AWS Lambda EC2, S3, RDS, DynamoDB CloudWatch API Gateway Integration & Architecture REST APIs ...

building, leading, or scaling a client services or account management team Strong understanding of modern search, including technical SEO, content strategy, digital PR, and LLM visibility Commercially aware with the ability to connect marketing activity to business outcomes Excellent communication skills with confidence, engaging senior stakeholders and decision-makers Comfortably ...

team member, you'll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization. Key Responsibilities Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring … team member, you'll contribute to the development and deployment of machine learning and AI solutions, with exposure to observability, security, and efficient LLM utilization. Key Responsibilities Learns and applies LLMs, programming languages, and tools used by the team to improve efficiency and solve business problems. Assists in exploring ...

through to production deployment. Designing and building robust ML pipelines, CI/CD processes and MLOps frameworks. Leading GenAI initiatives such as document processing, LLM fine-tuning, prompt engineering and orchestration using modern frameworks. Organising and processing large, complex datasets to enable AI and ML use cases. Acting … strong data engineering capability. Proven experience building backend systems for ML, including CI/CD pipelines and MLOps. Hands-on experience with GenAI, including LLM fine-tuning, prompt engineering and frameworks such as LangChain or LangGraph. Experience working in cloud-based data and ML environments, ideally with Azure and Databricks. ...

time, adaptive experiences. The Principal AI Engineer will collaborate closely with product, content, and platform teams to design, implement, and optimise large language model (LLM) architectures, agentic workflows, and AI-driven solutions. Responsibilities include developing scalable, maintainable software, integrating AI capabilities across platform systems, running rigorous experimentation with custom evaluation … metrics, and ensuring model reliability, safety, and observability. The ideal Principal AI Engineer will have deep experience designing and deploying complex LLM-based systems, strong Python and software engineering skills, familiarity with CI/CD and cloud infrastructure, and a proven ability to translate AI research into production-ready solutions. ...

connected edge devices Develop infrastructure using AWS CDK/Infrastructure as Code Support CI/CD pipeline improvements and deployments Contribute to AI/LLM-powered product functionality Collaborate with stakeholders to define and deliver solutions Maintain code quality through code reviews and engineering best practice Technical Environment Languages: TypeScript … Step Functions Databases: DynamoDB, PostgreSQL, Aurora, MongoDB Frontend: React, TypeScript, MUI DevOps: AWS CDK, Terraform, Docker, GitLab CI, CodePipeline AI: Amazon Bedrock, RAG, LLM integrations Skills Required Commercial software engineering experience Strong AWS cloud/serverless experience Strong backend development skills in TypeScript, Python, or Go CI/ ...

AI Agentic Engineer (MedTech) Were partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to ...

SENIOR DATA & AI CONSULTANT Remote-first working with monthly team collaboration days in South East Opportunity to shape AI strategy and architecture for a diverse client base Work across Azure, Databricks, Microsoft Fabric, Power BI ...

generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. … Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using ...

automation opportunities Lead discovery and scoping sessions, then build the solution yourself Design and develop AI agents and workflows using Python and LLM frameworks Work with the AI Deployment Engineer to hand off anything requiring deep infrastructure Own post-deployment adoption: training, feedback loops, and iteration Build a library … reusable agent components and playbooks Proactively surface new automation opportunities across the business Key Skills Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) Prompt engineering & RAG pipelines Business analysis & stakeholder management Process mapping & workshop facilitation Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make) Desirable Skills Experience ...

automation opportunities Lead discovery and scoping sessions, then build the solution yourself Design and develop AI agents and workflows using Python and LLM frameworks Work with the AI Deployment Engineer to hand off anything requiring deep infrastructure Own post-deployment adoption: training, feedback loops, and iteration Build a library … reusable agent components and playbooks Proactively surface new automation opportunities across the business Key Skills Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) Prompt engineering & RAG pipelines Business analysis & stakeholder management Process mapping & workshop facilitation Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make) Desirable Skills Experience ...

solutions. As a Project Manager here, you'll have the opportunity to work on cutting-edge AI initiatives involving RAG, multi-agent systems, modern LLM frameworks, and production AI deployments. You'll play a major role in shaping how projects are delivered and influence both technical direction and client strategy … spoken and written) Experience running workshops, stakeholder meetings, and delivery planning sessions Strong understanding of modern AI concepts including RAG, multi-agent systems, and LLM workflows Ability to translate business requirements into structured technical delivery plans Excellent stakeholder management and communication skills Desirables Hands-on exposure to AI engineering concepts ...

databases, embeddings, and enterprise data sources Develop agent-based workflows, orchestration layers, and multi-step reasoning systems Work extensively with open-source and commercial LLM ecosystems, including Hugging Face models and tooling Implement prompt engineering, evaluation frameworks, and performance optimisation strategies Architect secure, scalable GenAI solutions … actively code, build, test, and deploy Experience with: RAG architectures and vector databases Hugging Face models, pipelines, and inference tooling Prompt engineering and LLM evaluation techniques Agentic systems and orchestration patterns Cloud-native experience across AWS and/or GCP Comfortable working across multiple business functions (finance, ops, customer ...

AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role ...

build and scale the high-throughput Python ( Django ) Backend that Collects, Processes & Analyses Large Volumes of Threat Telemetry. By operationalising Complex Data Pipelines & Integrating LLM Workflows, you will directly fuel the Research that enables our enterprise clients to outmanoeuvre Real-World Adversaries. Who Should Apply: The Threat Data Architect … just move data; you weaponize it. You have a deep interest in the Cyber Security Domain and want to leverage Kubernetes, Celery & LLM APIs to Automate and scale complex Threat Intelligence Workflows. Skills & Experience: Backend Engineering ( 3 - 5 Years ) : High proficiency in Python ( Django ), with a proven track record ...

growing AI function focused on designing, building, and improving AI-driven applications and platforms across the business. Projects currently range across: Generative AI and LLM initiatives AI-powered automation tools Machine learning solutions AI platform engineering Data-driven process improvement AI governance and optimisation Depending on level, the Senior … team are working across a modern cloud environment with exposure to technologies including: Python AWS/Azure TensorFlow/PyTorch/scikit-learn GenAI & LLM tooling AI automation frameworks API and platform engineering Why This Role? Opportunity to join a business making significant investment in AI Large-scale global projects ...