1 to 25 of 229 Remote/Hybrid LLM Jobs

Bonus Skills Any commercial or personal experience with AI, Machine Learning, Generative AI, or Large Language Models (LLMs) would be highly beneficial, including: Integrating LLM APIs into applications Building AI-powered features or workflows Experience with OpenAI, Anthropic, Azure AI, LangChain, LlamaIndex, or similar technologies Retrieval-Augmented Generation (RAG) solutions ...

business stakeholders Required Background & Skills Strong software engineering background with backend development expertise Strong Python experience and cloud-native development Experience integrating AI/LLM technologies into real-world applications Experience building scalable production systems Understanding of APIs, distributed systems, microservices, and system design Experience with cloud platforms such ...

platforms for downstream data consumption, operational analytics and decision support. Experience architecting AI/ML and agentic automation solutions within trading technology estates, including LLM integration, RAG patterns, intelligent scheduling and predictive analytics. Familiarity with Agile/SAFe delivery frameworks at scale, with experience embedding architecture governance into sprint-based ...

Senior AI Engineer/AI Engineering Consultant/Generative AI Consultant/Senior Machine Learning Engineer/AI & ML Consultant/MLOps Engineer/LLM Engineer/AI Engineering Consultant/Senior AI Engineer/Generative AI Engineer/AI Solutions Architect/Data & AI Consultant/AI Solutions Consultant ...

Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks, and automated workflows. Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning ...

Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems ...

financial services (banking, capital markets, insurance, or fintech) to design, build, and scale Gen AI-powered data platforms. This role combines modern data engineering, LLM/AI integration, and financial domain expertise to deliver enterprise-grade solutions across use cases such as: Risk analytics & fraud detection Regulatory compliance automation Document … pipelines using LLMs (Open AI, Azure Open AI, Anthropic) Develop RAG architectures with vector databases (Pinecone, FAISS, Azure AI Search) Optimize LLM outputs using prompt engineering, embeddings, and evaluation techniques Build AI solutions for document processing, compliance, and banking chatbots Develop scalable data pipelines using Spark, Databricks, Snowflake, and cloud ...

deployment approaches Drive high-quality engineering practices across testing, deployment, monitoring, and optimisation Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based ...

across digital sports media platforms. * Collaborate with product, data, and engineering teams to deliver AI-driven features and audience engagement tools. * Build and optimise LLM-powered applications, recommendation systems, and intelligent content workflows. * Develop and maintain robust data pipelines and model deployment infrastructure. * Implement monitoring, evaluation, and governance processes ...

systems Proven delivery across at least two of: Azure AI Foundry, Databricks, AWS (all three ideal) Deep expertise in GenAI, agentic AI, RAG patterns, LLM fine-tuning, and vector databases Strong Python foundations — PyTorch, Transformers, FastAPI, LangChain/LangGraph Experience with MLOps, CI/CD, IaC, and container orchestration ...

AI Engineer Location: London (Hybrid - 2-3 days per week onsite) Salary: £80,000 - £120,000 + Benefits Type: Permanent About 167 Solutions 167 Solutions is a specialist technology recruitment consultancy connecting organisations with exceptional ...

maintain analytical models using Python, SQL and cloud-based data platforms • Apply machine learning, AI and statistical techniques to business challenges • Work with NLP, LLM and Generative AI technologies where appropriate • Validate data, perform testing and ensure analytical output quality • Monitor model performance and support ongoing optimisation and governance • Contribute ...

production deployment governance, and incident/root-cause management. Identify and deliver pragmatic AI/ML opportunities where valuable (e.g., agentic workflows, RAG/LLM-enabled capabilities) with appropriate governance and human-in-the-loop controls. What you need to have: Experience managing a team, as this role involves leading ...

audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab CI Hands ...

Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have – AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests in its people. ...

translate data labelling methodologies into scalable product functionality. * Design and implement annotation workflows, task allocation systems and evaluation tooling. * Integrate and orchestrate multiple LLM providers and AI APIs. * Own and maintain cloud infrastructure and deployment pipelines. * Manage infrastructure using Terraform on Google Cloud Platform (GCP), including Cloud Run and Cloud ...

translate data labelling methodologies into scalable product functionality.* Design and implement annotation workflows, task allocation systems and evaluation tooling.* Integrate and orchestrate multiple LLM providers and AI APIs.* Own and maintain cloud infrastructure and deployment pipelines.* Manage infrastructure using Terraform on Google Cloud Platform (GCP), including Cloud Run and Cloud ...

Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures ...

Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures ...

design of end-to-end digital solutions, mapping underlying capabilities to ensure alignment with architecture standards and pattern sArchitect AI-enabled solutions incorporating LLM-based assistants, multi-agent orchestration, Retrieval Augmented Generation (RAG), and vector searc hPerform rapid prototyping and technical feasibility assessments to prove the value of new propositions ...

following would be highly advantageous: Microsoft Azure Python GitOps tooling (Argo CD/Flux) Observability tooling (Prometheus, Grafana, OpenTelemetry) AI/LLM-enabled applications Event-driven architectures and messaging platforms What's on Offer Opportunity to work on cutting-edge AI and cloud-native technologies Hybrid working model with flexibility ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...