1 to 25 of 148 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 ...

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 ...

Bash); C# or Go a plus. Experience deploying and supporting AI, machine learning, API, and cloud application workloads in production environments. Experience operating LLM-based workloads in production, including multi-provider routing, capacity and quota management, rate limiting, streaming and asynchronous job patterns, retries and backpressure, cost attribution ...

agents using Python; experience with APIs, event-driven workflows, testing, source control, CI/CD and operational support Practical knowledge of agent architectures, LLM applications, RAG, tool calling, memory, orchestration, multi-agent patterns, MCP/A2A concepts and associated security risks Hands-on experience with security monitoring, detection engineering, incident ...

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 ...

working knowledge of Python. Proven experience delivering AI, machine learning or data-driven features into production, such as recommendation engines, search, ranking systems or LLM-powered applications. Hands‐on experience building and operating cloud-native applications on AWS, with a solid understanding of CI/CD, infrastructure as code ...

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 ...

with a proven track record of delivering AI, machine learning or data‐driven solutions into production, including recommendation engines, intelligent search, ranking systems or LLM‐powered applications. Extensive experience building and operating cloud‐native applications on AWS, with strong knowledge of CI/CD, infrastructure as code, observability and modern ...

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 ...

into production. Document agents, skills and data dependencies so they can be supported, reused and scaled. Core skills and knowledge Hands-on experience building LLM-based solutions or AI agents (tool use, retrieval/RAG, multi-step workflows) in a commercial or substantial project setting. Strong prompt and context engineering ...

engineering across AWS and/or Azure Practical experience designing, automating and supporting cloud infrastructure and services. Experience deploying and operating AI agents or LLM-based services, ideally using Amazon Bedrock, including monitoring, governance, quality assurance and agentic workflows across the software delivery lifecycle. OpenShift Experience building or operating platforms ...

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 ...

digital and business transformation, and in applying AI to real‐world products beyond pure experimentation. Bonus: exposure to media and entertainment, generative AI/LLM projects, or experience taking solutions from PoC to MVP to production. Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. ...