Senior AI Engineer

eFinancialCareers; Greater London; Hybride; GBP 77 000 - 129 000; Plein temps

Résumé du poste

eFinancialCareers in London is seeking a Senior AI Engineer – Python to design and deploy production AI solutions. You will work on end-to-end pipelines, from concept to deployment, using Python and modern AI frameworks, with emphasis on reliability and governance in enterprise environments.

You will evaluate models, monitor performance, and collaborate with business stakeholders to deliver tangible AI impact while ensuring scalable, robust systems across the tech stack.

Qualifications

• Proven Python engineering experience with production AI solutions.
• Hands-on with LLMs and AI orchestration.
• Strong ML fundamentals: training, evaluation, monitoring.
• Experience delivering AI in complex, governance-aware environments.

Responsabilités

• Design AI-powered apps and workflows using Python and AI frameworks.
• Move solutions from concept to enterprise deployment.
• Build and evaluate models with real-world data and monitoring.
• Partner with stakeholders to identify AI opportunities and deliver impact.

Connaissances

Python

LLMs

AI orchestration

Model evaluation

Production readiness

Outils

TensorFlow

PyTorch

LangChain

Description du poste

Role: Senior AI Engineer - Python

Location: London (Hybrid)

Compensation: Up To £700/Day Outside IR35

Overview

We're partnering with a leading, technology-driven organisation looking to expand its AI engineering capabilities. You'll work on turning advanced AI and machine learning concepts into robust, production-ready solutions that solve real business problems. This is a hands-on opportunity to build impactful systems using modern AI technologies, with a strong focus on delivering solutions that are scalable, reliable and ready for real-world use.

What You'll Do

1. Design and develop AI-powered applications, intelligent workflows and machine learning solutions using Python and modern AI frameworks.
2. Take solutions from initial concept through to deployment, ensuring they meet the standards required for enterprise production environments.
3. Build and evaluate models using real-world data, incorporating testing, monitoring and performance improvements throughout the development lifecycle.
4. Collaborate with technical teams and business stakeholders to identify opportunities for AI adoption and deliver practical, high-impact solutions.

What We're Looking For

1. Strong commercial Python engineering experience, with a track record of delivering AI or machine learning solutions into production.
2. Hands-on experience with LLMs, agentic frameworks, AI orchestration and model evaluation.
3. Solid machine learning fundamentals, including model development, training, evaluation and monitoring.
4. Experience building AI solutions within complex environments, with an understanding of production readiness, governance and ongoing model reliability.

Interested in building AI solutions that move beyond experimentation and deliver tangible business impact?