1 to 25 of 53 Remote/Hybrid LLM Jobs in Manchester

frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar. Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging Face OR similar). Proficiency in CI/CD and containerisation: GitHub Actions, Azure DevOps, Docker, Kubernetes. Nice to haves Nice ...

intersection of Data Engineering, AI and Generative AI , giving you the opportunity to work across modern data platforms, scalable data pipelines, machine learning and LLM-enabled solutions. You must currently come from, or have recent experience working within, a consultancy or professional services environment , with experience delivering technical solutions directly ...

know yet). You’ll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing Your personal learning plan could include Up to three Stanford Artificial Intelligence Professional Programmes ...

even thebotsdon’tknow yet). You’llcover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering,customisationand integration Generative and Agentic AI MLOps& cloud computing It’sall live lectures, tutor-led groupworkand real-world challenges from day one. Learn ...

Apply? Work on high-profile AI transformation programmes. Design and build enterprise-scale AI solutions. Exposure to the latest GenAI, Agentic AI and LLM technologies. Opportunity to influence architecture, engineering standards, and AI strategy. Flexible location options across the UK. If you're passionate about building production-grade AI solutions ...

venues (NeurIPS, ICML, ACL, CVPR). Experience with MLOps tools: MLflow, Weights & Biases, DVC. Familiarity with distributed training frameworks (DeepSpeed, Horovod). Experience with LLM fine-tuning and prompt engineering. Contributions to open-source ML projects. Competitive salary with annual performance bonus. £2,000 annual conference and learning budget. Private ...

helping grow our AI Platform & Reliability Engineering capability. This Will Include: AI Platform Strategy & Architecture: Assess, define and evolve enterprise AI platform architectures, covering LLM and agentic frameworks, AI gateways, model lifecycle management, data platforms, MLOps/LLMOps foundations and integration patterns. Support clients in evaluating build, buy and hybrid ...

platforms using Databricks. Strong knowledge of Databricks Lakehouse, Unity Catalog, MLflow, and AI workloads. Experience developing GenAI solutions such as RAG, embeddings, and LLM integration. Experience designing agentic workflows and orchestration patterns. Strong understanding of Azure AI services and their integration with Databricks. Experience using VS Code and AI‐assisted ...

best practices. Developing cutting-edge Generative AI and Agentic AI solutions, including: Retrieval-Augmented Generation (RAG) Semantic search AI agents and multi-agent workflows LLM orchestration frameworks Working with modern AI technologies such as LangGraph, Google ADK, Microsoft Agent Framework, LlamaIndex and similar tools. Deploying AI solutions across cloud platforms … strategies, frameworks and operational best practices. Deep understanding of Generative AI and Agentic AI concepts, including: RAG architectures Embeddings and vector search Evaluation frameworks LLM orchestration Hands-on experience with frameworks such as: LangChain LangGraph LlamaIndex CrewAI Autogen Google ADK Similar modern AI frameworks Experience developing and deploying AI solutions ...

production, we’d love to meet you! You will be responsible for: Designing and developing CV/ML/AI models (predictive, classification, recommendation, LLM-based), Selecting and optimizing algorithms (regression, tree-based, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering, and model validation, Collaborating ...

Data Scientists, and Platform Teams* Technical documentation and knowledge transfer* Agile delivery experience**Desirable Skills*** POSIT/RStudio migration experience* AI/ML and LLM integration* RAG and Vector Database exposure* Regulated industry experience## **We are a Disability Confident Employer:**Capgemini is proud to be a Disability Confident Employer (Level ...

proof of concept through to production deployment Designing and developing AI and Machine Learning solutions using Azure and modern AI technologies Building production-ready LLM applications, RAG pipelines and AI agents Working closely with Data Engineering teams to prepare and integrate structured and unstructured data Collaborating with Infrastructure teams ...

version control systems like GitLab and Artifactory Practical knowledge of Linux and Windows operating systems Hands-on experience with AI-native engineering, including LLM platforms and prompt engineering Familiarity with infrastructure as code using Terraform Experience with relational databases like PostgreSQL and AlloyDB Frontend development skills using React and TypeScript ...

version control systems like GitLab and Artifactory Practical knowledge of Linux and Windows operating systems Hands-on experience with AI-native engineering, including LLM platforms and prompt engineering Familiarity with infrastructure as code using Terraform Experience with relational databases like PostgreSQL and AlloyDB Frontend development skills using React and TypeScript ...

enterprise data and AI transformation programme. You will design and build scalable data pipelines in GCP, develop cloud-native solutions, and support AI/LLM and RAG initiatives across a large-scale environment. You will work on event-driven architectures with Kafka, write robust Python and SQL, and help ensure ...

driven data pipelines. Automation & AI Capabilities: Working knowledge of workflow automation tools like n8n, along with exposure to commercial AI platforms, APIs, or LLM applications (e.g. RAG, LangGraph). Data Governance Discipline: Solid understanding of security, data handling, and GDPR principles in an engineering setting. Communication & Mindset: Clear communication skills ...

Machine Learning Engineer Location: Flexible (Hybrid) Working set up: Hybrid Salary: Competitive + bonus + benefits SPG are working on behalf of an established financial services organisation investing heavily in its data science and AI ...

We're supporting a leading technology consultancy that is expanding its AI practice and is looking for a Senior AI Engineering Consultant to help deliver innovative AI-powered solutions for enterprise clients. This is an ...

native SaaS platforms, ideally within Azure and .NET environments. Exposure to multi-cloud environments and platform modernisation programmes. Experience delivering AI, machine learning, or LLM-enabled products and features. Location: Manchester (Hybrid) Working Pattern: Hybrid, Full-Time We welcome applicants from all backgrounds. Our client is an equal opportunities employer. ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands‐on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Database Management Vector ...

frameworks such as **Next.js** or **Vite**.* **GenAI Frameworks**: Familiarity with tools like **LangChain**, **LangGraph**, **CrewAI**, or **Vercel AI** (in Python or JavaScript).* **LLM experience**: Practical experience with **Large Language Models** (LLMs) such as **OpenAI**, **Anthropic**, **Mistral**, or **Llama**, and tools like **Ollama**.* **Cloud Platforms**: Proficiency … Hands-on experience with **Docker**, **Kubernetes**, and **Docker Compose**.* **Infrastructure as Code (IaC)**: Exposure to tools like **Terraform**.* **Monitoring Tools**: Familiarity with LLM monitoring tools like **Langsmith**, **Langfuse**, or similar.* **CI/CD**: Experience with continuous integration and deployment tools such as **GitLab**, **GitHub**, or **Jenkins**.## **Database ...

data science with enterprise infrastructure and business outcomes. This hybrid role combines hands-on development with strategic leadership. You will design AI strategies, build LLM applications, RAG pipelines, and collaborate with data engineering and IT teams to deploy secure, scalable AI in enterprise environments. #J-18808-Ljbffr ...

Salary: £50,354 to £60,036. This includes a basic salary, skills payment, and a concessionary payment of £2,758. The final amount will depend on your skills and experience. You’ll also receive a ...

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every ...

CAPGEMINI INVENT At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‐edge solutions. Join us to drive ...