1 to 25 of 63 LLM Jobs in the North West

enabled solutions. Cloud and modern data infrastructure exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps ...

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/ ...

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/Cloud ...

helped design Excellent communication skills Eligible for SC clearance Nice to have Practical MLOps experience in live environments Kubernetes and IaC Experience with LLM or agent‐based systems Open source contributions or technical writing Perks £65k–£80k salary EMI share scheme Personal L&D budget 25 days holiday (rising ...

large, multi‐team deliveries – setting strategy, making 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/Cloud ...

stakeholders Your Skills Software engineering experience while leading engineering teams Strong hands‐on experience building and deploying AI applications in production Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns Experience with agentic frameworks and autonomous agent architectures Proficiency in Python and modern software development practices (testing, code ...

that powers our conversational AI products and wider AI strategy.You'll design, build and operate the cloud-native platform supporting Retrieval-Augmented Generation (RAG), LLM orchestration, vector search and production AI services, working closely with AI Engineering, DevOps and Security teams to deliver scalable, secure and reliable AI solutions. Role ...

expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production‐grade AI solutions, including RAG pipelines and LLM‐based applications Hands‐on experience with AI deployment, operationalisation, monitoring, and scaling Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, Private ...

leading role in solving complex, high-impact challenges across the automotive finance industry. You will design, build and deploy production-grade AI solutions, including LLM-powered virtual agents, agentic AI systems and intelligent automation that improve the customer finance journey and support better operational outcomes. Reporting to the Director … taking responsibility for the path from prototype to production. Key Responsibilities AI Solution Development: Design, build and deploy production-grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business. ...

Senior AI Engineer Manager/Associate Director | Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and ...

scale RAG architectures and retrieval evaluation. Knowledge of emerging open knowledge standards and interoperable knowledge formats. Experience with context engineering for AI agents and LLM applications. Experience designing knowledge graphs and semantic data models. Familiarity with modern orchestration, workflow and data engineering platforms. Experience supporting AI, machine learning or autonomous ...

technical SEO fundamentals - Proficiency with Google Analytics, Google Search Console and SEMrush - Understanding of Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO) and LLM visibility strategies - Python, SQL or automation experience The closing date for this role is 26th June 2026. Other organisations may call this role AI Marketing Executive ...

solutions powering customer-facing products worldwide. You’ll work with Product, Platform and Engineering to develop production-grade AI systems, autonomous agents and LLM-powered applications. You’ll design and deliver production-ready AI solutions, build autonomous agents, orchestration, prompt engineering and Azure deployment. #J-18808-Ljbffr ...

turn AI ideas into scalable products. What you’ll be doing Build and deploy production AI solutions using Python and modern AI frameworks Develop LLM applications using RAG, prompt engineering and agentic workflows Shape AI architecture, tooling and engineering standards Work across Azure, cloud infrastructure and deployment pipelines Integrate ...

data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology strategy and roadmap development Leading and mentoring multidisciplinary ...

Join us at Barclays as an AI Engineer and help shape the future of financial security by designing and deploying solutions that safeguard our systems and sensitive data. You’ll work with a skilled team ...

remediation, and secure web application design. Experience working embedded in engineering or platform teams within an Agile/DevOps environment. Familiarity with AI and LLM security risks and emerging best practices for securing AI‐powered systems. Experience working with or alongside outsourced MDR or SOC providers. Skills Ability to communicate ...

remediation, and secure web application design. Experience working embedded in engineering or platform teams within an Agile/DevOps environment. Familiarity with AI and LLM security risks and emerging best practices for securing AI-powered systems. Experience working with or alongside outsourced MDR or SOC providers. Exposure to identity governance ...

engineering teams on orchestration, system resilience, and operational excellence * Collaborate with stakeholders to define scalable technology roadmaps * Contribute to AI-enabled software initiatives using LLM frameworks and AWS AI services What you'll bring: * Proven experience with Camunda and/or Temporal.io in backend and distributed systems * Strong Python skills ...

data platforms and technologies such as Snowflake, SQL-based data environments and a range of operational data sources. Good understanding of Generative AI and LLM‐related engineering patterns, with the ability to lead teams in applying these capabilities pragmatically, securely and responsibly in an enterprise setting. Strong strategic thinking ...

AI Solution Architects & Technical AI Leaders Manchester | Hybrid AI Solution Architect Financial Services (Hybrid) Join a leading consulting and technology firm shaping enterprise AI and GenAI strategy for major banking clients moving AI beyond proof ...

Job Description Purpose of the role: To develop, implement and maintain solutions that support the safeguarding of the bank’s systems and sensitive information. Accountabilities: Provision of subject matter expertise on security systems and engineering ...

Maxwell Bond is seeking a Lead AI Engineer to build and deploy production AI solutions in a hybrid setup in Liverpool. You will shape architecture, tooling and standards while leading hands-on development and mentoring ...

governance controls that satisfy regulatory and internal model risk requirements Accountable for technical quality across AI engineering teams code review standards, testing practices, LLM Ops maturity, and architectural consistency are maintained across squads, not just within one team Accountable for the AI technical roadmap emerging capabilities are continuously evaluated, strategic ...

establish reusable architecture patterns; govern implementation; mentor architects and engineers; create reference architectures and engineering playbooks. Skills Enterprise Architecture, Agentic AI, Multi-Agent Systems, LLM Orchestration, Context Engineering, AI Governance, Google Cloud Platform (GCP), Vertex AI, Banking Architecture, Stakeholder Management ...