1 to 25 of 32 LLM Jobs in South Yorkshire

scripts to support AI-driven workflows and enterprise system integrations. Build, support, and scale AI-enhanced automation pipelines and internal developer tooling. Securely integrate LLM capabilities into existing platforms, CI/CD pipelines, and enterprise systems. Establish prompt engineering standards, governance patterns, and evaluation metrics for AI output quality ...

image updates, VDA provisioning (MCS/PVS), profile management, and zero-day vulnerability mitigations. AI-Driven Infrastructure Automation Implement and customize Microsoft Copilot and LLM assisted workflows to automate routine Citrix & VDI operational tasks, ticket triage, and incident resolution. Build prompt libraries, automated diagnostics, and agentic workflows to streamline system ...

enabled workflows Build and support AI-driven automation pipelines and developer tooling Write, review, and maintain high-quality, secure, and scalable code Integrate LLM capabilities into existing platforms, CI/CD pipelines, and enterprise systems Define prompt engineering standards, patterns, and governance Evaluate AI output quality, performance, security, and cost ...

controller frameworks Observability experience. Use of metrics, logs, and traces using tools such as Grafana, Prometheus and Sentry Experience with AI agent development or LLM integration Agile/Scrum working practices ISP or managed connectivity background Automated configuration management (Ansible, Puppet, or similar) We are committed to fostering an inclusive ...

pipelines and DevOps best practices. Collaborate with architects, product teams, and engineers to deliver high-quality solutions. Contribute to AI-enabled application development, including LLM and RAG integrations where applicable. Required Skills 10+ years of software engineering experience. Strong hands-on expertise in Java and/or Python. Kubernetes, Docker … Microservices, and REST APIs. CI/CD, DevOps, and Agile delivery practices. Preferred Skills Experience with LLM integration, RAG, AI orchestration, or Agentic AI frameworks. Exposure to AI platforms such as Azure OpenAI, OpenAI, LangChain, LangGraph, or Semantic Kernel. Candidate Profile Strong engineering and problem-solving skills. Product engineering mindset ...

/B tests or betas, to validate product decisions.Experience with browser DOM inspection or automation.Familiarity with Model Context Protocol or building tools for LLM agents.Familiarity with real-time data pipelines or streaming architectures.Accessibility experience.Passion for continuous learning and sharing insights with the team.About PendoPendo was founded in 2013 by former ...

tests or betas, to validate product decisions. Experience with browser DOM inspection or automation. Familiarity with Model Context Protocol or building tools for LLM agents. Familiarity with real-time data pipelines or streaming architectures. Accessibility experience. Passion for continuous learning and sharing insights with the team. About PendoPendo was founded ...

tests or betas, to validate product decisions. Experience with browser DOM inspection or automation. Familiarity with Model Context Protocol or building tools for LLM agents. Familiarity with real-time data pipelines or streaming architectures. Accessibility experience. Passion for continuous learning and sharing insights with the team. About Pendo Pendo ...

Responsibilities Lead the implementation of AI-enabled applications and platform capabilities. Establish reusable patterns, frameworks, and best practices for AI engineering. Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments. Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Define standards … cloud‐native applications on Azure, AWS, or GCP. Strong knowledge of Kubernetes, Microservices, APIs, Event‐Driven Architecture, and DevOps practices. Hands‐on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI ...

following skill, but don’t worry if you don’t tick the box, we’ll help you develop along the way. AI and LLM experience - you're comfortable using GenAI tools such as Copilot, Claude or ChatGPT. Knowing we’re right for you Embracing uniqueness, the culture at Grant Thornton ...

Xpansiv Limited is seeking a QA AI Engineer to test AI-enabled products and the proprietary LLM infrastructure, ensuring quality, reliability, and safety across systems and applications. The role involves creating test plans, executing test cases, building evaluation pipelines, and validating both deterministic software behavior and non-deterministic AI outputs ...

Xpansiv is seeking a QA AI Engineer to ensure the quality, reliability, and safety of AI-driven products and LLM infrastructure. You will design test plans, execute cases, and build evaluation pipelines in a cross-functional environment. You will work with AI engineering, product, operations, and business stakeholders to embed ...

solutions that power AI-driven case management capabilities. Build, implement and optimise data pipelines that connect enterprise applications and systems with AI and large language model platforms. Create, refine and optimise prompts and AI workflows to improve the quality, accuracy and relevance of AI-generated outputs. Support and drive … work independently, take ownership of technical initiatives and provide leadership within a multidisciplinary team. Additional Skills & Qualifications experience with Gemini or other large language model platforms. experience working with Google Cloud Platform (GCP). Hands-on experience in agentic AI development and orchestrating agent-based workflows. Knowledge of AI-assisted ...

hands-on Agentic AI engineering in Financial Crime Riskdriving end-to-end, production-grade AI solutions from governance and senior decision-making through to LLM/agent workflow design, evaluation, observability, and hypercare, ensuring solutions are adopted in investigations and meet regulated-bank standards. As our client employee … production-grade AI and Agentic AI solutions for financial crime risk detection and investigation -Contribute to solution design and build where needed, including: LLM/agent workflow design (tool use, orchestration, guardrails, human-in-the-loop patterns) API/service integration into alerting, case management, and investigator workflows -Evaluation harnesses ...

protocols (MQTT, OPC-UA). Desirable Desirable Interview/Application Familiarity with semantic web technologies (RDF, SPARQL), linked data principles, or large language model (LLM) APIs and agentic frameworks for automated data integration. Further Information Grade 7 Salary £38,784 - £47,289 per annum. Work arrangement Full-time Duration Fixed ...

Finance AI platform. This hands-on leadership role focuses on scalable engineering patterns, accelerating delivery, and mentoring development teams. You will design and oversee LLM, RAG, and Agentic AI integrations across Azure, AWS, and GCP, collaborate with architects to ensure secure, maintainable solutions, and set standards for observability, governance ...

businesses to thrive and economies to prosper, and, ultimately, helping people fulfil their hopes and realise their ambitions. We are seeking a MLOps Engineer (LLM/GenAI) In this fantastic role, you’ll engineer production-grade infrastructure for modern AI: hosting LLMs and speech/embedding models, pushing inference performance … Optimise inference for latency, throughput, and cost (e.g., quantisation, KV-cache optimisation, dynamic/continuous batching) Evaluate and integrate inference frameworks (e.g., vLLM, TensorRT-LLM, SGLang) to maximise performance on target hardware Own inference health/performance monitoring (latency, throughput, TTFT, memory, availability) and troubleshoot bottlenecks/deployment issues Build ...

products developed by Xpansiv. This role is responsible for ensuring the quality, reliability, accuracy, and safety of Xpansiv’s AI-driven products and proprietary LLM infrastructure. The QA AI Engineer will create test plans, document and execute test cases, build automated and semi-automated evaluation frameworks, and validate both deterministic … business lines Develop evaluation datasets, golden sets, and scenario suites that measure accuracy, consistency, structured-output quality, policy adherence, and business-rule compliance of LLM outputs Detect, document, and reproduce AI-specific failure modes, including hallucinations, prompt injection, inconsistent outputs, formatting errors, data leakage, bias, unsafe responses, and model ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Data Scientist Location: Sheffield, S9 1XH Make a difference with data. Join Exemplar Health Care. At Exemplar Health Care, our mission is simple, to make every day better for the people we support and the ...

TEKsystems in Sheffield (UK) is seeking a Senior Python AI & Data Engineer to design and deliver intelligence data workflows that connect enterprise systems with large language models and agentic AI solutions. You will build and ...

AI SOFTWARE ENGINEER £60,000 - £85,000 (dependent on level/experience) Tankersley, South Yorkshire- Hybrid (3 days on-site, 2 days from home) C#/.NET | Modern JavaScript | SQL Server & PostgreSQL | AI Tooling | Cloud ...

AI Solutions Engineer Location: Sheffield (Hybrid - 3 days office/2 days home) | Permanent | Salary: £55,000 - £60,000 + Benefits Our client is investing in AI to make work smarter, faster, and more effective ...

AI Solutions Engineer Location - Sheffield Hybrid - 3 days per week Salary - Negotiable Turn AI Into Real World Business Solutions At Vivedia, we're investing in AI to make work smarter, faster, and more effective across ...

慨正橡扯 is seeking an MLOps Engineer (LLM/GenAI) based in Sheffield, UK, to engineer production-grade infrastructure for modern AI. The ideal candidate will design scalable model hosting platforms, optimise inference performance, and build fine-tuning pipelines. This role requires deep expertise in AI platforms, particularly in LLMs ...