1 to 25 of 62 Remote/Hybrid LLM Jobs in the North West

tool-calling frameworks (e.g. LangGraph or equivalent), including familiarity with the Model Context Protocol (MCP)• Evaluation engineering (golden datasets, regression gates in CI, LLM-judge calibration)• Guardrail and AI-observability tooling (e.g. NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust)MLOps & LLMOps• Hands-on with MLOps platforms (Azure ML, Databricks, SageMaker ...

tool-calling frameworks (e.g. LangGraph or equivalent), including familiarity with the Model Context Protocol (MCP) • Evaluation engineering (golden datasets, regression gates in CI, LLM-judge calibration) • Guardrail and AI-observability tooling (e.g. NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust) MLOps & LLMOps • Hands-on with MLOps platforms (Azure ML, Databricks, SageMaker ...

advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker and other business intelligence toolsConsulting, Communication & Leadership:Ability to work effectively with both business and technical stakeholders.Strong communication ...

Cost Controls.* Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens.* Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK.## **WHAT YOU'LL LOVE ABOUT WORKING ...

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 ...

large, multi‐team deliveries - setting strategy, making sound architectural decisions and enabling teams to deliver at pace. Hands‐on experience with agentic AI: building LLM‐powered applications/agents, tool use, orchestration, retrieval (RAG), prompt and safety engineering, evaluation and telemetry. Proficient knowledge of cloud‐native engineering: containers (GKE/ ...

ability to build production‐grade systems. Strong proficiency in Python, plus experience with C/C++ or another systems language. Hands‐on experience with LLM‐based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns. Experience building and maintaining RAG pipelines, agent frameworks, MCP servers ...

Kubernetes (AKS), Nginx Architecture: Microservices, Event‐driven patterns, Clean Architecture Observability and Monitoring: Grafana, Loki, Sentry, PostHog AI and Agentic Tooling: AI coding agents, LLM‐assisted workflows, MCP integrations Tooling and Practices: Git, CI/CD pipelines, Agile and lean delivery Data and Python: Python for data processing, pipelines ...

Good understanding of software engineering principles, including object-oriented development, testing practices, version control, code quality management, CI/CD deployment processes, containerisation, and LLM-assisted coding. Experience working with data processing and database technologies, including relational databases, query optimisation, performance tuning, monitoring, backup and recovery, and an understanding ...

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 approaches ...

using model evaluation and monitoring for non-deterministic systems at scale or as hobby projects. Personal experimentation or side projects within the AI/LLM/ML domain. Any Open Source AI projects, side projects and experimentation. Keeping up to date with latest and greatest in AI frontier development ...

Cloud Platform (GCP) . Develop and manage Infrastructure as Code (IaC) using Terraform . Support the development and deployment of innovative applications, including AI, LLM and agentic AI solutions. Build and improve CI/CD pipelines, deployment automation and engineering workflows. Work closely with innovation teams to move prototypes ...

solution design to production deployment of ML models. You will be responsible for: Designing and implementing CV/ML/AI models (predictive, classification, LLM, recommendation systems, etc.), Selecting and optimizing algorithms (regression, tree-based models, neural networks, etc.), Integrating models into production environments, Performing data cleaning, feature engineering ...

will be responsible for building and maintaining the backend systems that support the development, testing, deployment, and scaling of our Machine Learning and LLM ‐ based tools, and for helping to transform these into robust, market ‐ ready products. We have ambitious plans to grow the AI team significantly over the next ...

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 ...

10+ years' experience in software engineering, architecture or technical leadership. \n \n 2+ years' hands-on AI development , including delivering LLM-based applications into production. \n \n Strong full stack development skills, particularly Python, React, APIs and relational databases . \n \n Experience with LLMs, RAG, embeddings, vector databases, agents ...

implementation owned by Data Engineering and Platform Hands-on experience embedding AI as a core, everyday tool in analytics workflows (e.g. AI coding assistants, LLM-based analysis agents), with a clear-eyed view of where it adds most value Experience enabling AI-driven self-service analytics (e.g. natural-language querying ...

operating across multiple customer environments. Azure Monitor, Application Insights, KQL or OpenTelemetry. Multi-tenant architecture and tenant isolation. Deploying or operating AI and LLM-based services. Relevant Microsoft certifications, such as AZ-104, AZ-305 or AZ-400. We’ll fund relevant certifications you want to work towards. ...

business solutions. You will ideally have: Strong commercial software development experience using TypeScript/JavaScript, Python, C# or a similar modern language. Experience integrating LLM APIs into applications, including prompt engineering, tool/function calling and evaluating AI outputs. A solid understanding of web applications, REST APIs, relational databases ...

hybrid work model. You will work across regulated environments with a focus on delivering high-impact data and AI workloads, including GenAI/LLM-based #J-18808-Ljbffr ...

team. An interest in financial technology and improving access to financial services. Desirable experience Banking, fintech, payments or another regulated sector. Delivering AI or LLM features into live products. Cloud platforms such as AWS, Azure or GCP. Containers and infrastructure as code. Mentoring colleagues or helping establish engineering practices. ...

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 ...

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 ...

provide technical guidance. Key Requirements: 6+ years relevant experience Experience with problem framing, AI/ML metrics, Evaluation and development of classical ML + LLM Prompt/RAG basics; Experiment design; model cards. Desirable: Strong analytical and problem-solving skills with attention to details. Clear communication and confidence in working ...

conversational agent tooling You think in processes: routing, approval gates and exception paths You’ve built or deployed something with AI or LLM tools You can write scripts in PowerShell, Python or similar, including against APIs You understand least privilege and service identities You write clear documentation Desirable: public cloud ...