Senior Applied AI Engineer [43466]

Marionete is an entrepreneurial technology consultancy helping organisations use data, software engineering, cloud platforms, and AI to solve complex business problems.



For more information, visit: www.marionete.co.uk

We are looking for a Senior Applied AI Engineer to help design, build, and deliver production-ready AI solutions for enterprise clients.

This role is suited to someone with strong hands-on experience in AI, machine learning, generative AI, data engineering, and software delivery. The focus is on building practical AI solutions that are scalable, secure, measurable, and ready for real business use.



You will work on solutions involving machine learning, LLMs, retrieval-augmented generation, agentic workflows, automation, forecasting, classification, optimisation, anomaly detection, and enterprise data platforms.

• Design and build applied AI and machine learning solutions for client projects.
• Develop LLM-based applications, RAG solutions, AI agents, and workflow automation components.
• Build and maintain data pipelines, feature pipelines, model training workflows, and inference services.
• Support the productionisation of AI and ML systems using MLOps and LLMOps practices.
• Implement monitoring, evaluation, testing, and observability for AI systems.
• Integrate AI solutions with APIs, cloud services, data platforms, and enterprise applications.
• Work with data scientists, data engineers, software engineers, architects, and delivery teams.
• Support technical discovery, solution design, and client discussions when required.
• Apply responsible AI principles, including security, privacy, governance, human oversight, and cost control.
• Contribute to reusable AI components, frameworks, and delivery accelerators within Marionete.

• Strong hands-on experience delivering AI, ML, data-science, or data-engineering solutions.
• Experience taking AI or ML solutions beyond proof-of-concept into production or production-like environments.
• Strong Python skills and good software engineering fundamentals.
• Experience with machine learning techniques such as classification, regression, forecasting, clustering, anomaly detection, optimisation, or segmentation.
• Experience with generative AI, LLMs, RAG, prompt engineering, tool use, or agentic workflow design.
• Good understanding of data pipelines, APIs, cloud-native architectures, and CI/CD.
• Experience with model evaluation, monitoring, versioning, and deployment.
• Comfortable working in client-facing or consultancy environments.
• Able to communicate clearly with both technical and non-technical stakeholders.

Experience with several of the following would be expected:

• Python, Pandas, NumPy, Scikit-learn
• XGBoost, LightGBM, CatBoost, Statsmodels, forecasting or optimisation libraries
• OpenAI, Azure OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, or similar
• LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, or similar
• Vector databases such as Pinecone, Weaviate, Milvus, pgvector, Azure AI Search, or similar
• MLflow, Databricks, Unity Catalog, Databricks Model Serving, Feature Store, or Feast
• Snowflake, Delta Lake, Apache Spark, Kafka, Confluent Cloud, Airflow, or Databricks Workflows
• Azure, AWS, or GCP
• Docker, Kubernetes, REST APIs, CI/CD, Terraform
• Monitoring and observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry
• 
  

• Experience in financial services, insurance, banking, payments, regulated industries, or enterprise operations.
• Experience with AI governance, model risk, data privacy, security, or responsible AI.
• Experience supporting AI discovery, technical assessments, or client workshops.
• Experience building reusable AI components, accelerators, or internal frameworks.

• Competitive salary package;
• Hybrid/remote position;
• Health insurance and life insurance;
• Financial support for personal development and training;
• Relaxed dress code at the Marionete offices;
• An abundance of career paths and opportunities in which to advance;
• A friendly, supportive, flexible and hybrid work environment.

Marionete believes in providing equal employment opportunities to everyone. We do not practice and will not tolerate discrimination on the basis of race, skin color, ethnicity, national origin, gender, sexual orientation, marital status, maternity, religion, age, disability, gender identity, results of genetic testing, or service in the military.

By applying to Marionete vacancies, you agree that your data and CV remain secure and confidential with your application. Marionete is a company in compliance with General Data Protection Regulation (GDPR).