16 of 16 Permanent Model Context Protocol Jobs in Manchester

Generative AI workloads run on: the platform layer beneath LLMs, agents, and MLOps pipelines. This spans GPU-accelerated compute and container platforms, model serving and gateway infrastructure, evaluation and guardrail systems, and the MLOps/LLMOps tooling that takes a model from experiment to production. You’ll work … workload cost attribution• Agent orchestration and 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 ...

Generative AI workloads run on: the platform layer beneath LLMs, agents, and MLOps pipelines. This spans GPU-accelerated compute and container platforms, model serving and gateway infrastructure, evaluation and guardrail systems, and the MLOps/LLMOps tooling that takes a model from experiment to production. You’ll work … workload cost attribution • Agent orchestration and 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 ...

intelligent assistants and AI-enabled automationPrompt engineering, AI evaluation and Responsible AIAI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP)Data engineering, pipelines, modelling and governanceAdvanced analytics, machine learning and statistical modellingData visualisation and insight solutionsCandidates should understand the importance of trusted, accessible ...

review, test generation, bug triage and fixing, migrations, documentation and onboarding. Build and maintain the integrations that make AI useful in our environment: repository context and instruction files, CI/CD hooks, review assistants, agent workflows that open draft pull requests, and access to issue trackers, logs and documentation … which tools. Work with Security, Legal and Data Protection on vendor, IP, privacy and code-security controls. Evaluate hosted and self-hosted model options against our requirements for code and data security, and recommend what we should run where. Our code may have to stay inside our own environment ...

embedding AI-augmented development workflows across the team, driving measurable gains in velocity, quality, and innovationLeverage AI coding assistants (Windsurf, Claude Code) and Model Context Protocols (MCPs) to accelerate software delivery, automate repetitive tasks, and elevate engineering standardsDesign, build, and deploy intelligent, scalable solutions that integrate machine learning … driven engineering practices, fostering a culture of continuous learning and experimentationPartner with Architecture and Data Science teams to define best practices for ML model deployment, data pipeline design, and cloud infrastructure standardsConduct thorough code reviews with a focus on AI-assisted quality, providing constructive feedback to enhance code quality ...

document processing and retrieval-based solutions. Logic Apps, API Management, Service Bus and Key Vault. TypeScript, JavaScript or Python. Docker, infrastructure as code or Model Context Protocol. Salary & benefits £70,000–£75,000 salary. Four days working from home- one office Flexible working hours. Competitive pension scheme. Health ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

ambiguous, fast-moving environments, then harden them into robust, scalable, secure production systems.* Build and run evaluation frameworks that give clients confidence in model and system behaviour, treating evals as a first-class part of the delivery lifecycle rather than an afterthought.* Act as a technical anchor for delivery … Systems: Hands-on experience designing and 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 ...

estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. Why apply? This ...

estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language data interfaces. Financial crime, fraud or regulatory-reporting data. Power BI administration and semantic modelling. The opportunity This ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive … provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic. Implement tool‐calling, function‐calling, and MCP‐style integrations so agents can safely take actions and interact with the systems around them. Create reusable agent templates, modular components, and paved‐path patterns ...

what we retire. Setting the patterns, tooling and code review standards that make the whole team faster, including the Claude skills and MCP servers we rely on. Being the go-to for questions about our data, what we hold, where it comes from and what ...

classification, basic aggregation and preparing unstructured data. Evaluating output quality is part of delivery Expose the semantic layer to internal tools and agents through MCP and APIs, working with engineering on shared standards Prepare data for agentic tools, company-wide AI harnesses and external recipients from the same certified definitions … frame them in terms of business value Nice to Have Databricks and Unity Catalog Hands-on experience with, or a solid understanding of, MCP, tool calling, tracing and evals for LLM applications and agents Workflow automation tools such as n8n CI/CD, orchestration and infrastructure-as-code Background ...

Agentic AI, including their capabilities, limitations and failure modes, with sound judgement on when deterministic software is the better solution Experience with context engineering, including retrieval-augmented generation (RAG), grounding, knowledge sources, memory, prompt design … controlled access to information. Experience building AI agents and agentic workflows, including task decomposition, orchestration, state management, tool integration through protocols such as MCP and human approval controls. Experience using AI-assisted development tools and coding agents as a core part of how you engineer, applying strong verification and taking ...

management, an intent signal that updates a lead score in the CRM, a qualified caller who joins a retargeting audience. APIs, integrations and MCP connectors are how we get there. Your job is to make sure the data actually drives action, for more customers, more reliably. … down because an integration isn’t possible, and faster delivery of solutions projects Connections that get used — rising active use of our API and MCP connections, not just more data made available What You Bring 6+ years in product management within a SaaS or tech environment, owning products ...

DutchTechX is seeking a Senior Analytics Engineer to evolve our central data model and build tooling that connects it to AI tools across the company. You will work with stakeholders to translate processes … into robust data products and metrics, with clear lineage and tests. You’ll deploy LLMS in production, design semantic layers, and expose data via MCP and APIs, ensuring reproducibility and business value across teams in a fast-paced fintech-like environment. #J-18808-Ljbffr ...