1 to 25 of 116 Permanent LLM Jobs in Manchester

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

deployment, observability and cost governance - you turn ML from artisanal to industrial across every AutoThink product. What you'll build A shared ML/LLM platform used by every AutoThink product team. CI/CD for models, prompts and evaluations. Cost and latency observability across every model call. Secure, multi ...