Remote – Portugal, Spain or UK Based We are partnering with a consultancy specialising in the insurance sector that is looking for a Senior Applied AI Engineer to design, build and deliver production-ready AI solutions for enterprise clients. This role combines hands-on AI and machine learning engineering with Generative AI, data engineering and software development. Design and build applied AI and machine learning solutions for client projects. Build and maintain data pipelines, feature pipelines, model training workflows and inference services. Implement monitoring, evaluation, testing and observability for AI systems. Integrate AI solutions with APIs, cloud services, data platforms and enterprise applications. Collaborate with data scientists, data engineers, software engineers, architects and delivery teams. Apply responsible AI principles, including security, privacy, governance, human oversight and cost control. Strong hands-on experience delivering AI, machine learning, data science or data engineering solutions. Strong Python skills and sound software engineering fundamentals. Experience with machine learning techniques such as classification, regression, forecasting, clustering, anomaly detection, optimisation or segmentation. Good understanding of data pipelines, APIs,



cloud-native architectures and CI/CD. Experience with model evaluation, monitoring, versioning and deployment. Python, Pandas, NumPy and Scikit-learn. Machine learning libraries and tools such as XGBoost, LightGBM, CatBoost, Statsmodels, forecasting or optimisation libraries. LLM platforms such as OpenAI, Azure OpenAI, Anthropic, AWS Bedrock or Google Vertex AI. Vector databases and search technologies such as Pinecone, Weaviate, Milvus, pgvector or Azure AI Search. MLflow, Databricks, Unity Catalog, Databricks Model Serving and Feature Store technologies such as Feast. Data platforms and pipelines, including Snowflake, Delta Lake, Apache Spark, Kafka, Confluent Cloud, Airflow or Databricks Workflows. Cloud platforms including Azure, AWS or GCP. Docker, Kubernetes, REST APIs, CI/CD and Terraform. Monitoring and observability tools such as Prometheus, Grafana, ELK or OpenTelemetry. Knowledge of AI governance, model risk, data privacy, security or Responsible AI. Remote working or Hybrid within Portugal, Spain or the UK. Health and life insurance. Financial support for personal development and training. Adaptable working environment. Relaxed dress code when working from the office. #

📌 Applied AI Engineer (España)
🏢 Stott And May
📍 España