AI Automation Engineer

AI Automation Engineer Company: Allegheny County Economic Development (Financial Services Client) Location: London, UK (Hybrid 3 days a week in office) Employment Type: Full-time (Permanent) Seniority Level: Mid-Senior level Job Function: Engineering and Information Technology Industry: IT System Testing and Evaluation We are seeking a talented AI Automation Engineer to join a leading financial services client in London. The role involves analysing and optimising business processes for automation while designing, building, and deploying intelligent automation solutions using BPA platforms (Appian), machine learning, and generative AI to drive operational efficiency and innovation. Key Characteristics Process Analysis & Optimisation – Expert in analysing existing business processes through stakeholder interviews, process mapping, and workflow documentation to identify automation opportunities. Skilled in creating process flow diagrams, conducting time‑motion studies, identifying bottlenecks and inefficiencies, and redesigning processes to be machine‑readable and automation‑ready. Python Development – Strong proficiency in Python programming including object‑oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy, requests, asyncio, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks – Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit‑learn, and Hugging Face Transformers. Experience building, training, and deploying machine‑learning models for classification, regression, clustering, and NLP tasks. Generative AI & LLM Integration – Proficient in working with Large Language Models (OpenAI GPT, Anthropic Claude, Azure OpenAI, Llama, Mistral). Experience with prompt engineering, fine‑tuning, RAG architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI‑powered automation solutions that leverage natural language understanding. Appian BPA Platform – Strong experience with Appian low‑code platform including process modelling, interface design, expression rules, integration objects, and data modelling. Skilled in building end‑to‑end business process applications and integrating Appian with external systems via REST APIs. API Development & Integration – Proficient in designing and building RESTful APIs using FastAPI, Flask, or Django REST Framework for exposing AI models and automation services. Document Processing & OCR – Experience implementing intelligent document processing solutions using OCR technologies and natural language processing for information extraction, document classification, and building end‑to‑end pipelines for automated document ingestion. Robotic Process Automation (RPA) – Knowledge of RPA concepts and tools (UiPath, Automation Anywhere, Power Automate) for automating repetitive tasks and legacy system integration. Data Engineering & Pipeline Development – Strong skills in building data pipelines for AI/automation solutions including ETL, SQL, data validation, cleansing, scheduling tools (Azure Data Factory). Machine Learning Operations (MLOps) – Experience deploying ML models to production using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow), monitoring, A/B testing, and implementing CI/CD pipelines. Solution Architecture & Technical Design – Ability to design end‑to‑end automation architectures that combine multiple technologies and create technical design documents. Stakeholder Collaboration & Change Management – Excellent communication skills for gathering requirements, translating business needs into technical specifications, and demonstrating proof‑of‑concepts. If you align with the key requirements, please apply with an updated CV. #J-18808-Ljbffr