26 to 50 of 148 LLM Jobs in the North West

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 ...

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 ...

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 ...

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 ...

systems expertise – Hands‐on experience building multi‐agent systems, agentic workflows, tool‐using AI systems, or complex AI orchestration platforms that go beyond simple LLM integrations Advanced cloud‐native ML infrastructure – Deep expertise building sophisticated ML infrastructure, MLOps pipelines, model serving platforms, and cloud‐native AI systems at scale; experience … optimizing cost and performance of production LLM deployments Financial services or analytical domain knowledge – Understanding of analytical workflows, credit analysis processes, regulatory requirements, financial data products, or how ML enables better financial decision‐making; familiarity with credit ratings agencies is a significant advantage Startup or innovation team experience – History ...

systems expertise – Hands-on experience building multi-agent systems, agentic workflows, tool-using AI systems, or complex AI orchestration platforms that go beyond simple LLM integrations Advanced cloud-native ML infrastructure – Deep expertise building sophisticated ML infrastructure, MLOps pipelines, model serving platforms, and cloud-native AI systems at scale; experience … optimizing cost and performance of production LLM deployments Financial services or analytical domain knowledge – Understanding of analytical workflows, credit analysis processes, regulatory requirements, financial data products, or how ML enables better financial decision-making; familiarity with credit ratings agencies is a significant advantage Startup or innovation team experience – History ...

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 ...

Engineering or a related field. Proficiency in Python, ideally with projects, open source or hackathon work beyond your coursework. Hands-on experience building an LLM-powered or agentic system that does multi-step work, and ideally that someone other than you has used. Familiarity with agentic patterns such as grounding ...

agents, connected devices, or fabricated physical forms based on the learning objective. Make prototypes behave for real: Wire synthetic or real‐world data, APIs, LLM/agent frameworks, and external tools to ensure end‐to‐end credibility rather than static screen flows. Conduct research and evaluation: Lead co‐design sessions ...

DevOps and MLOps practices, including large, distributed workloads, batch and streaming pipelines, and the data foundations that power machine learning, Generative AI and Large Language Model solutions. Working with architects, technology consultants and public sector client stakeholders, you will help customers make use of the data available to them while … solving problems pragmatically, creating clarity and structure in ambiguous situations - Experience productionising and operating data and AI/ML solutions, including Generative AI or LLM-based applications - Experience coaching and mentoring engineers, putting in place structured development opportunities to build the capability of junior team members and client counterparts ...

driven operations. Over the course of the first year, the organization intends to incorporate AIOps and ML-assisted observability — anomaly detection, intelligent alert correlation, LLM-assisted runbook generation — into how we monitor and respond to our platform. You will be the technical owner of how that gets introduced, prioritized against … where device reliability and cloud reliability are jointly owned. Experience building or integrating AIOps platforms for automated incident triage and remediation. Familiarity with large language model APIs or agentic AI frameworks applied to on-call automation or runbook generation. Experience deploying and managing stateful distributed services in Kubernetes. Hands ...

The Opportunity A leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key ...

Engineering, Computational Design, or a related field. Deep technical familiarity with modern web and agent stacks: TypeScript/JavaScript, React, Git, Figma, API integrations, LLM orchestration frameworks, and at least one major cloud platform. Hands‐on experience with physical computing, edge AI, or spatial/immersive technologies (e.g., Arduino, Raspberry ...

product line inside AutoThink — its customers, its metrics, its roadmap. You know which problems deserve an LLM, which don't, and how to tell the difference before the sprint starts. What you'll build A product line with a clear point of view on where AI creates real value. ...

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 ...