Artificial Intelligence Architect

CompanyStott and May

LocationLondon Area, United Kingdom

Posted At1/9/2026

UK Visa Sponsorship Analytics

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Occupation Type

IT business analysts, architects and systems designers

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£54,900 (£28.15 per hour)

Occupation rate applies

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Description

AI / ML Architect

Location: London (Hybrid – 2 days/week onsite)

Duration: 6 months

Day Rate: £510 per day (Inside IR35)

Role Overview

We are seeking an experienced AI / ML Architect to design, build, and lead the deployment of advanced machine learning and AI-driven solutions. The successful consultant will enable real-world value from data by architecting models, pipelines, and integration patterns that scale across the organisation.

This role combines technical depth, applied ML engineering, solution design, and hands-on development.

Key Responsibilities

Design, build, and train end-to-end machine learning models across NLP, predictive analytics, classification, and computer vision use cases
Experiment with algorithms, optimise hyperparameters, and evaluate model performance
Collect, process, and prepare structured and unstructured datasets for model training and validation
Implement feature engineering, data augmentation, and data quality controls
Develop APIs, services, or microservices to integrate models into production platforms

Deploy, monitor, and manage models using MLOps tooling, automation, and versioning practices

Analyse performance metrics (accuracy, precision, recall, F1-score) and optimise models for scalability and efficiency

Collaborate with product teams, engineers, and data scientists to translate business requirements into technical solutions

Document architectures, workflows, and methodologies to ensure reproducibility and maintainability

Stay current on emerging AI technologies including generative models, reinforcement learning, and transformer-based architectures

Profile & Required Expertise

10+ years software engineering experience, including 5+ years in applied AI/ML
Advanced proficiency in Python, PyTorch, TensorFlow, and modern NLP frameworks
Hands-on experience with LLMs, transformer architectures, LangChain, and Hugging Face
Strong knowledge of algorithms, machine learning lifecycles, and model evaluation techniques
Deep understanding of BFSI environments including risk, compliance, and AML/KYC
Practical experience with cloud platforms (AWS/Azure/GCP) and containerisation (Docker/Kubernetes)

Experience building scalable ML systems and secure, production-grade applications

Proven ability to work collaboratively in cross-functional teams

Strong communication skills with the ability to present technical concepts to non-technical stakeholders

Demonstrated ability to write clear documentation and apply engineering best practices

Desirable Experience

Ability to align ML strategies with long-term business and platform objectives
Familiarity with emerging trends in generative AI, RAG workflows, or reinforcement learning
Experience influencing architecture decisions at enterprise scale