11 of 11 Model Context Protocol Jobs in the South West

equivalent compiled language for enterprise microservice integration.Hands-on experience with vector databases and semantic search pipeline design.Experience with Model Context Protocol (MCP).Experience with large-scale data platforms such as Databricks and search engines such as Elasticsearch, in an analytical or AI feature engineering context.Demonstrated ability ...

approval gates so developers can verify and correct agent output before it is merged. Integrate tools and data sources into the agents via MCP (Model Context Protocol). Set up evaluation, guardrails and tests to catch incorrect output early. Work alongside engineering team's and upskill them ...

leading the technical implementation of an AI-assisted development initiative. Tasks may be evaluating and configuring our AI tool stack, building the retrieval and context systems that make those tools useful for our codebase, and instrumenting the metrics that prove the value.What you can expectEvaluate, configure, and maintain ...

Claude Code for AI-assisted coding workflows. Integrating and working with LLM APIs (Anthropic Claude, OpenAI GPT, Google Gemini). Experience building custom MCP Servers to expose our internal APIs, databases, and business logic to AI models in a standardized, secure way Experience with databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB ...

management, forecasting and optimisation (including usage-based pricing shifts), and the staff access model. This includes: AI safety for internal use : sandboxing, policy, integrations, MCP governance, usage guardrails and monitoring expectations. The three platform pillars : control, monitoring and sandboxing (LLM and MCP gateway, anonymisation, local hardening, sandboxed cloud agent hosting … built or significantly scaled a team. Current, hands-on fluency with the modern AI stack: frontier model platforms, agentic tooling and harnesses, MCP and integration patterns, evals, prompt and context engineering. AI security and governance: sandboxing, gateways (LLM, MCP, AI), DLP, guardrail enforcement and data-boundary reasoning; able ...

working with or selling data, intelligence, analytics or technology solutions. Genuine hands-on familiarity with AI and its commercial applications; exposure to LLMs and MCP would be advantageous. Enough technical understanding to confidently engage with technical stakeholders – you don't need to be a programmer. Commercially minded, consultative and able ...

across the modern AI engineering stack - harness engineering, skills and tool building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering, and tokenomics (cost, latency, model selection). Production-grade LLM system experience is the core requirement. You will work on three types … integrate with both is required; existing expertise is a bonus rather than a requirement. Experience with agent hosting and sandboxing platforms, LLM or MCP gateways, or agentic workflow orchestration tooling. Experience in financial services or another regulated environment. Experience deploying models built by a data science team into customer-facing ...

explore how platforms such as PowerApps and CoPilot can be leveraged within our existing technology stack. We currently operate a hybrid working model, enabling us to benefit from both home and office working.The TeamOsborne Clarke's Solutions team plays a crucial role in helping clients explore exactly how they … Risk & Compliance teams. Beyond AI, the role will focus on exploring data integration opportunities using platforms such as Boomi, investigating the potential of Model Context Protocols (MCPs) and orchestration layers, and developing a broader awareness of how tools such as PowerApps and CoPilot can be leveraged into ...

evaluation frameworks, data pipelines, CI/CD for ML, observability, safety and governance. Guide teams in adopting agentic coding systems (e.g., Claude Code, PI, MCP-based tools) and integrating them into real workflows, repos and delivery processes. Act as a fractional Engineering Manager for client teams: shaping delivery, improving engineering … delivering AI/ML systems into production, including MLOps, model evaluation, monitoring and safety considerations. Familiarity with agentic coding systems (Claude Code, PI, MCP tools) and how they operate within real engineering environments. Ability to get under the hood of engineering work: reading code, understanding patterns, diagnosing issues, without ...

powered agents, enrichment pipelines, and AI‐assisted automations that the commercial org depends on. You will make engineering decisions about models, infrastructure, and MCP integrations. You will design prompting systems that non‐technical users rely on without ever touching a prompt themselves. The test for everything you build is whether … assisted automation — not just prototypes Active practitioner of modern AI development tooling (Claude, Lovable, Cursor, or equivalent) and comfortable working with LLM APIs and MCP integrations — AI Fluency Level 4 or the equivalent hands‐on engineering experience Hands‐on experience building against Salesforce or equivalent CRM APIs: workflows, event‐driven ...

delivery of Quality Engineering strategies. Manage project-level client relationships and communicate progress, risks and recommendations. Drive adoption of GenAI tooling, including Playwright with MCP, GitHub Copilot and Claude. Contribute to internal QE communities, standards and best practices. Experience you'll need as a Quality Engineering Manager Several years experience …/TypeScript, Python, Java or C#. Experience building and assessing automation frameworks, not just using them. Hands-on experience with GenAI in a QE context and AI-assisted coding tools. Experience defining tooling strategies and conducting QE assessments. Experience leading or mentoring QE or automation engineering teams. Strong client ...