AI / ML Solutions Architect

AxiaMetrics LLP; Greater London; On-site; GBP 85,000 - 130,000; Full time

Job summary

AxiaMetrics LLP is seeking an experienced AI/ML Solutions Architect to lead a major enterprise AI transformation. You will design, architect and deliver scalable AI systems across data platforms such as Snowflake.

The role requires hands-on NLP/ML expertise, MLOps, and strong stakeholder engagement to translate business needs into production-ready solutions. Office-based in London or Greater London with client-facing responsibilities.

Qualifications

• Experience delivering LLM and Generative AI in production.
• Strong NLP, OCR, and intelligent document processing expertise.
• Experience with MLOps and production deployments.
• Strong stakeholder communication and collaboration skills.

Responsibilities

• Design and deliver enterprise-scale AI and Machine Learning solutions.
• Architect end-to-end AI platforms, integrating LLMs, ML and data ecosystems.
• Identify AI use cases with stakeholders and translate requirements into scalable technical solutions.
• Lead implementation and production deployment with security, scalability and governance.
• Provide technical leadership and architectural best practices throughout the project lifecycle.

Skills

NLP

Document processing

RAG

LLM apps

Prompt engineering

MLOps

Cloud architecture

Stakeholder management

Data platforms

Tools

Snowflake

Snowpark

Snowflake Cortex

Databricks

Azure ML

SageMaker

Job description

AI / ML Solutions Architect (Contract)

We’re looking for an experienced AI / ML Solutions Architect to join a major enterprise AI transformation programme. This role is ideal for someone who can combine deep technical expertise with strong consulting skills to design, architect and deliver scalable AI solutions across enterprise environments, including modern data platforms such as Snowflake.

Key Responsibilities

• Design and deliver enterprise-scale AI and Machine Learning solutions.
• Architect end-to-end AI platforms, integrating LLMs, machine learning and modern data ecosystems.
• Work closely with customers and stakeholders to identify AI use cases and translate business requirements into scalable technical solutions.
• Lead the implementation and production deployment of AI/ML solutions, ensuring security, scalability and governance.
• Provide technical leadership and architectural best practices throughout the project lifecycle.

Required Experience

• Significant commercial experience delivering LLM and Generative AI solutions.
• Strong hands-on experience with:
  • Natural Language Processing (NLP)
  • Document extraction, OCR and intelligent document processing
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering and LLM-based applications
• Significant production Machine Learning experience, including:
  • Classification models (e.g. Gradient Boosting, Logistic Regression)
  • Sequence modelling
  • Experiment design, statistical evaluation and model validation
  • Model interpretability techniques (e.g. SHAP)
• Experience deploying AI/ML solutions into production using MLOps best practices.
• Strong understanding of cloud-native architectures and enterprise data platforms.
• Experience designing scalable, secure AI solutions within enterprise environments.
• Excellent stakeholder management and communication skills.

Desirable Skills

• Experience working with Snowflake, including Snowflake Cortex, Snowpark, Snowflake ML or AI-powered analytics.
• Experience with Databricks, Azure ML, AWS SageMaker or similar ML platforms.
• Knowledge of LangChain, LangGraph, CrewAI or other AI orchestration frameworks.
• Experience building RAG solutions and working with vector databases.
• Background delivering AI solutions within regulated industries such as financial services, insurance or healthcare.