MBN Solutions

www.mbnsolutions.com

3 Jobs

25 Employees

About the Company

MBN Solutions are an innovative, disruptive Recruitment, Talent and People Solutions Consultancy.

We operate globally and work with a range of companies throughout Scotland, UK, Europe, US and Beyond.

Providing Contract, Permanent and Executive Search sourcing capabilities across the Data Science, Analytics, Technology and Digital sectors, MBN Solutions are the partner of choice for a variety of organisations in the UK, Europe and beyond who are looking for the solution to the increasingly complex challenges around Data Technology Talent Acquisition.

With a strong focus on "Community Building" and close collaboration with a large number of academic institutions, we help our clients solve not only today's Data Technology Talent problems, but help position them for success tomorrow.

info@mbnsolutions.com

Listed Jobs

Company Name: MBN Solutions
Job Title: AI Solutions Engineer
Job Description: **Job Title:** AI Solutions Engineer (Contract) **Role Summary:** Deliver enterprise‑grade AI solutions in a client‑facing professional services setting. Translate business challenges into scalable AI designs, prototype and implement production‑ready workflows, and ensure robust validation, bias mitigation, and safety. Work primarily with Python (or comparable modern languages) on large, multi‑format data sets, leveraging generative AI, LLMs, and agentic AI patterns. Contract length ≈ 3 months; hybrid work with occasional UK travel for workshops and client meetings. **Expectations:** - 3‑month contract (potential extensions) - Day‑rate: £550‑£750 (varies by role) - Hybrid on‑site presence; commute to London, Bristol, Glasgow or Birmingham - Approx. 8–10 on‑site visits across the UK - Self‑motivated, consultative delivery mindset **Key Responsibilities:** - Convert business problems into scalable AI/data solution architectures. - Prototype, test, and deliver enterprise‑level AI workflows and systems. - Process and derive insights from large, structured and unstructured data sets. - Implement validation, bias‑reduction, and hallucination‑control mechanisms. - Design alert/action indicators based on data patterns. - Collaborate with delivery teams and client stakeholders throughout project life‑cycles. **Required Skills:** - Mid‑senior software engineering experience; production‑quality code in Python or comparable modern language. - Hands‑on experience with generative AI/LLMs: prompt/flow design, retrieval‑augmented generation, tool/function calling, evaluation, iteration. - Familiarity with agentic AI patterns: multi‑step orchestration, tool usage, planning/execution workflows, state management, safety controls. - Strong system and solution design expertise at enterprise scale. - Proven delivery of AI/ML and data‑engineering solutions. - Ability to handle large‑volume, multi‑source data (structured, unstructured, scanned/long‑form documents). - Preferred experience with AWS ecosystem (e.g., SageMaker). - Excellent communication and consultative client‑engagement skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field (or equivalent practical experience). - Relevant certifications (e.g., AWS Certified Machine Learning – Specialty, Azure AI Engineer, or similar) are advantageous but not mandatory.

England, United kingdom

Remote

05-01-2026

Company Name: MBN Solutions
Job Title: Lead AI Engineer - Start Up
Job Description: **Job Title:** Lead AI Engineer **Role Summary:** Senior technical role requiring expertise in both software engineering and AI/ML to design, build, and scale production-grade AI-native systems. Focus on LLM-driven architectures, AI/ML deployment, and mentoring engineering teams. **Expectations:** - 7+ years software engineering experience; 3+ years AI/ML systems in production. - Hands-on experience with modern AI tooling and frameworks. **Key Responsibilities:** - Design and build AI-native applications and intelligent workflows using Python. - Architect and deliver LLM-powered systems, RAG pipelines, orchestration layers, and multi-agent workflows. - Lead production deployments using LangChain, LlamaIndex, vector databases (Pinecone, FAISS), and cloud platforms (e.g., Azure). - Establish best practices for prompt engineering, AI system evaluation, and observability. - Provide technical leadership, mentor engineers, and translate business problems into scalable AI solutions. **Required Skills:** - Proficient in Python, CI/CD, Docker, cloud platforms (Azure preferred). - Expertise in LLMs, RAG, embeddings, vector search, and secure AI system design. - Hands-on with LangChain, LlamaIndex, FastMCP, OpenAI/Anthropic/Gemini APIs, and vector databases. - Strong knowledge of tool calling, function calling, and guardrails for AI workflows. **Required Education & Certifications:** None specified.

Company Name: MBN Solutions
Job Title: Senior AI Engineer
Job Description: **Job Title:** Senior AI Engineer **Role Summary:** Lead the design, development, and productionalization of AI-native systems, focusing on LLM-powered workflows, retrieval‑augmented generation (RAG), and agent orchestration. Own projects from concept through deployment and monitoring, ensuring robust, cost‑aware, and secure AI solutions that solve real business problems. **Expectations:** - Deliver end‑to‑end AI systems that are shipped, monitored, and maintained in production. - Work closely with founders and engineering peers to define and evolve AI engineering best practices. - Maintain a high level of technical ownership, autonomy, and responsibility for system quality and performance. **Key Responsibilities:** - Build and maintain production‑grade AI applications in Python. - Design, prototype, and deploy LLM‑powered pipelines, retrieval models, and autonomous agents. - Integrate vector databases, RAG, and agent frameworks (e.g., LangChain, LlamaIndex). - Implement monitoring, guardrails, observability, and cost‑management for AI services. - Collaborate with cross‑functional teams to translate business requirements into scalable AI solutions. - Contribute to documentation, code reviews, and knowledge sharing. **Required Skills:** - Proficient in Python programming and software engineering best practices. - Hands‑on experience with Large Language Models (LLMs) and their deployment. - Familiarity with vector databases (e.g., Pinecone, Weaviate) and RAG techniques. - Knowledge of agent frameworks and orchestration tools. - Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines. - Strong understanding of observability, monitoring, and cost‑awareness for AI workloads. - Excellent communication and collaborative skills in remote, cross‑continental teams. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related field (advanced degree preferred). - Relevant professional certifications in cloud platforms, AI, or machine learning are a plus.