Machine Learning / AI Contractor

The hiring employer is not identified; the contractor will provide services to Deloitte. The role builds and operates production-grade AI/ML solutions, including LLM applications, predictive models, and optimization systems.

Responsibilities

• Design, build, deploy, and maintain LLM-powered and agentic applications, including tracing, evaluation, and guardrails
• Take predictive and optimization models from development through production; establish validation, monitoring, and retraining processes
• Build and improve RAG solutions, including retrieval quality, embeddings, and vector-store integrations
• Develop data pipelines and services using Python, SQL, and cloud-based data and ML platforms
• Work with Kubernetes and AWS EKS, Databricks, SageMaker, and MLflow to support model development and deployment
• Design data models and real-time processing solutions using SQL and NoSQL technologies
• Collaborate with technical and business stakeholders to translate requirements into reliable AI/ML solutions

Preferred

• Graph RAG experience is a plus
• Production experience with pricing, revenue management, elasticity, or demand-forecasting models
• Experience with mathematical optimization, including linear and mixed-integer programming (e.g., OR-Tools or Gurobi), and constrained recommendation problems
• Experience with causal inference, uplift modeling, or experiment design when randomization is limited
• Experience delivering models through model risk management or an equivalent regulatory review
• Financial-services or payments experience at a large institution, including Investment Banking, Markets, Securities Services, commercial cards, treasury services, or billing and revenue systems
• Experience with agent frameworks or runtimes, A2A, or MCP
• Experience designing agent memory and managing organizational context, including memory nodes and episodic or semantic memory
• Experience with knowledge graphs and graph databases for retrieval
• Understanding of LLM fine-tuning and small language model inference
• Full-stack development experience with modern JavaScript/TypeScript frameworks (e.g., Next.js or Svelte) for agent UIs, including AG-UI or NEO UI SDK
• Knowledge of high-performance languages such as Go or Rust
• Graph RAG
• Pricing Models
• Revenue Management
• Elasticity Modeling
• Demand Forecasting
• Mathematical Optimization
• Linear Programming
• Mixed-Integer Programming
• OR-Tools
• Gurobi
• Constrained Recommendations
• Causal Inference
• Uplift Modeling
• Experiment Design
• Model Risk Management
• Regulatory Model Review
• Financial Services
• Investment Banking
• Securities Services
• Commercial Cards
• Treasury Services
• Billing Systems
• Revenue Systems
• Agent Frameworks
• Agent Runtimes
• A2A
• MCP
• Agent Memory Design
• Organizational Context Management
• Memory Nodes
• Episodic Memory
• Semantic Memory
• Knowledge Graphs
• Graph Databases
• Retrieval Systems
• LLM Fine-Tuning
• Small Language Model Inference
• Full-Stack Development
• JavaScript
• TypeScript
• Next.js
• Svelte
• Agent UI Development
• AG-UI
• NEO UI SDK
• Go
• Rust

Company

• Audit, tax, consulting, and financial advisory services
• London, England, GBR
• https://www2.deloitte.com/
• Founded in 1845
• 10001+ employees

Qualifications

• MS in Computer Science, Statistics, Mathematics, Machine Learning, or a related field—or equivalent experience
• At least 7 years of software development experience, including 4 or more years working on AI/ML solutions
• Production experience with LLM-powered or agentic applications, including tracing, evaluations, and guardrails
• Production experience with predictive or optimization models, including validation, monitoring, and retraining
• Practical RAG experience, including retrieval quality, embeddings, and vector stores
• Advanced Python skills and strong knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics
• Experience with Kubernetes, preferably AWS EKS
• Experience training models in Databricks and SageMaker, and working with MLflow
• Expert knowledge of at least one of AWS, Azure, or Kubernetes
• Experience with data management, data-model design, and real-time processing using SQL (e.g., PostgreSQL) and NoSQL stores (e.g., OpenSearch, Redis)
• Strong communication skills and ability to partner with senior technical and business stakeholders
• Candidates interested in applying for this opportunity must be legally authorized to work in the United States without the need for employer sponsorship
• Graph RAG experience is a plus
• Production experience with pricing, revenue management, elasticity, or demand-forecasting models
• Experience with mathematical optimization, including linear and mixed-integer programming (e.g., OR-Tools or Gurobi), and constrained recommendation problems
• Experience with causal inference, uplift modeling, or experiment design when randomization is limited
• Experience delivering models through model risk management or an equivalent regulatory review
• Financial-services or payments experience at a large institution, including Investment Banking, Markets, Securities Services, commercial cards, treasury services, or billing and revenue systems
• Experience with agent frameworks or runtimes, A2A, or MCP
• Experience designing agent memory and managing organizational context, including memory nodes and episodic or semantic memory
• Experience with knowledge graphs and graph databases for retrieval
• Understanding of LLM fine-tuning and small language model inference
• Full-stack development experience with modern JavaScript/TypeScript frameworks (e.g., Next.js or Svelte) for agent UIs, including AG-UI or NEO UI SDK
• Knowledge of high-performance languages such as Go or Rust
• At least 7 years of software development experience, including 4 or more years working on AI/ML solutions.

Required skills

• AWS EKS, Amazon SageMaker, Databricks, Kubernetes, LLM-Powered Applications, MLflow, Machine Learning, OpenSearch, Python, Redis, Retrieval-Augmented Generation (RAG), SQL

Preferred skills

• 2026-10-29, 2026-10-30, 3.8, AI Tools, Analyze How Well You Fit, Anne Muraya, Audit, tax, consulting, and financial advisory services., Build Cover Letter, Chief Executive Officer - East Africa, Company data provided by, Customize Your Resume, Experience with agent frameworks or runtimes, A2A, or MCP, Glassdoor, Global Chief Executive Officer, Graph RAG experience is a plus, Joe Ucuzoglu, Knowledge of high-performance languages such as Go or Rust, Late Stage, Leadership Team, London, England, GBR, Make your application stand out, Maximize your interview chances, Recent News, StreetInsider.com, Understand your strength & weakness, https://www2.deloitte.com, iTWire, syncni.com

Experience

• 7+ years