1 to 25 of 51 Remote/Hybrid 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

skills and experience We’d also be interested to hear about any experience you have in the following areas: Experience with ML frameworks and LLM inference, such as PyTorch, vLLM, SGLang, llama.cpp or similar Experience using heterogeneous CPU + accelerator systems Familiarity with agentic AI frameworks and protocols An interest ...

paced, production environment. Ideal candidates have 2–5 years of software/AI engineering experience, strong Python and systems programming skills, and experience with LLM-based systems, RAG pipelines, and agent frameworks. Hybrid work is supported. #J-18808-Ljbffr ...

financial services. Desirable experience Designing and delivering platforms from the ground up. Working in banking, fintech, payments or another regulated sector. Deploying AI or LLM features into production. Cloud development using AWS, Azure or GCP. Containers and infrastructure as code. The package You'll receive ...

deploying agentic architectures using frameworks such as LangChain, LangGraph, CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration.* LLM Experience: Practical, production experience with LLM providers (Anthropic, OpenAI, Mistral, Llama) and an informed view on model selection trade-offs.* Cloud Platforms: Strong proficiency … experience with Docker, Kubernetes, and Docker Compose.* Infrastructure as Code: Proficiency with Terraform or equivalent.* Evaluation and Monitoring: Experience with evaluation-driven development and LLM observability tooling such as Langsmith, Langfuse, Braintrust, or similar.* CI/CD: Comfortable owning pipelines end to end (GitHub Actions, GitLab CI, Jenkins).* Database ...

with at least one of: target identification and validation, pharmacovigilance and drug safety, competitive intelligence, or literature synthesis. Comfort working hands‐on with APIs, LLM tools and prompt design, and the judgement to tell whether an AI‐generated scientific answer holds up. Confidence running workshops and training sessions with scientists ...

grade GenAI capabilities. Our hybrid model requires collaboration across engineering and business units to deliver real value. You’ll explore OpenAI, Anthropic and other LLM tech, while ensuring robust APIs, scalable architectures and practical business impact. #J-18808-Ljbffr ...