London AI Engineer for Strategy & Enterprise Apps

Accenture UK & Ireland; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Accenture is hiring an AI Engineer - Strategy Consultant in London to transform quantitative prototypes into credible, enterprise-ready tools and services. You will ship across cloud and desktop platforms, while embedding governance, security, and robust evaluation into production workflows.

You will collaborate with quants and practice leadership to craft scalable, reusable AI assets for energy, commodities, finance, and industrial domains.

Qualifications

• Bachelor's degree required in CS/Engineering/Math/Physics/Economics or related field.
• 3+ years in consulting or client-facing technical delivery roles.
• 3+ years hands-on in backend services, APIs/integrations, full-stack, data pipelines, model-serving or ML workflows, or agentic orchestration.
• Strong Python coding ability plus one of TypeScript/JavaScript or cloud/platform engineering.
• Experience with enterprise hardening: authentication, RBAC, observability, security, release discipline, or regression testing.

Responsibilities

• Turn quantitative prototypes into reusable tools, services, desktop apps, and interfaces.
• Ship across cloud-hosted services and locally distributed desktop apps (Electron where needed).
• Build enterprise hardening into the productization layer (authentication, RBAC, observability).
• Incorporate evaluation, regression, and release discipline into productionized workflows.
• Collaborate with the quant lead to ensure governance and model logic survive production.
• Make pragmatic architecture choices across LLMs, rules, and hybrid systems.
• Help shape repeatable build patterns so prototypes become scalable assets.

Skills

Python

TypeScript

JavaScript

APIs

Backend

Data pipelines

ML workflows

Education

Bachelor's degree

Job description

Accenture is hiring an AI Engineer - Strategy Consultant in London to transform quantitative prototypes into credible, enterprise-ready tools and services. You will ship across cloud and desktop platforms, while embedding governance, security, and robust evaluation into production workflows.

You will collaborate with quants and practice leadership to craft scalable, reusable AI assets for energy, commodities, finance, and industrial domains.