AI Engineer

Aviva; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Flexible working

Hybrid work model

Job summary

Aviva is seeking an experienced AI Engineer to design, build, deploy and operate AI solutions that deliver measurable business value across the company. This hands-on role owns the full AI lifecycle—from problem framing to production deployment and ongoing optimization.

You will work across traditional ML and generative AI, collaborating with software and data engineers, product stakeholders and governance teams to ensure reliable, cost-efficient, and compliant solutions within a regulated

Qualifications

• Proven commercial experience as an AI Engineer, ML Engineer or similar.
• Strong AI engineering capability across traditional ML and generative AI.
• Experience taking AI/ML solutions from development through to production.
• Strong Python and software engineering skills, with production-quality code.
• Experience deploying AI/ML solutions into production environments.
• Experience with model development, training, evaluation, deployment and monitoring.
• Experience with feature engineering, training and evaluation pipelines.
• Experience with LLM-powered applications, including prompt engineering and retrieval strategies.
• Ability to assess business problems and select appropriate AI approaches (traditional ML, GenAI or both).
• Experience with cloud-based AI platforms and MLOps/LLMOps practices.
• Monitoring live AI/ML systems and driving improvements using production data.
• Understanding of model evaluation for quality, safety and production readiness.
• Experience applying responsible AI practices, bias testing, guardrails, data protection.
• Understanding deployment challenges in regulated environments.
• Ability to identify technical, model and governance risks and escalate as needed.
• Experience collaborating with software engineers, data engineers, product teams and stakeholders.
• Strong documentation for governance artefacts and audit readiness.
• Comfortable participating in design, architecture, code reviews and engineering forums.
• Strong analytical and problem-solving skills, with validation of data assumptions.

Responsibilities

• Own end-to-end AI lifecycle from problem framing to production deployment and optimization.
• Design, build, deploy and operate AI solutions delivering measurable business value.
• Work across traditional ML and generative AI, selecting the right approach for each use case.
• Collaborate with software engineers, data engineers and product stakeholders to bring AI into production.
• Ensure solutions are reliable, cost-efficient and responsibly engineered within a regulated financial services environment.

Skills

AI Engineer

Python

ML pipelines

LLM development

MLOps

Prompt engineering

Cloud platforms

Model deployment

Production-grade code

Evaluation & monitoring

Responsible AI

Data governance

Stakeholder communication

Audit documentation

Education

Degree in CS/Engineering/Math

Cloud/AI certifications

Tools

TensorFlow

PyTorch

MLflow

Docker

Kubernetes

Job description

We are looking for an experienced AI Engineer to design, build, deploy and operate AI solutions that deliver measurable business value across Aviva.

This is a hands-on engineering role where you'll own the end-to-end AI lifecycle - from understanding and framing a business problem, through solution design and development, to production deployment, monitoring and continuous improvement.

You'll work across both traditional machine learning and generative AI, making informed decisions about the right approach for each use case. This could include developing ML models, building LLM-powered features, designing retrieval and prompt pipelines, or combining different AI approaches to deliver the best outcome.

Working as part of a multidisciplinary product or AI team, you'll collaborate closely with software engineers, data engineers and product stakeholders to bring AI solutions into production. You'll also play an important role in ensuring solutions are reliable, cost-effective and responsibly engineered within a regulated financial services environment.

Skills and experience we're looking for

• Proven commercial experience as an AI Engineer, Machine Learning Engineer, ML Engineer, Software Engineer or similar.
• Strong AI engineering capability across traditional machine learning and generative AI.
• Demonstrable experience taking AI or ML solutions from development through to production.
• Strong Python and software engineering skills, with experience writing production-quality code.
• Practical experience with model development, training, evaluation, deployment and monitoring.
• Experience designing and implementing feature engineering, training and evaluation pipelines.
• Experience working with LLM-powered applications, including prompt engineering, retrieval strategies or similar GenAI techniques.
• Ability to assess a business problem and select the most appropriate approach, whether traditional ML, generative AI or a combination of both.
• Experience working with cloud-based AI platforms and associated services.
• Working knowledge of MLOps and/or LLMOps practices and tooling.
• Experience monitoring live AI/ML systems, diagnosing issues and using production performance data to drive improvements.
• Understanding of model evaluation and how to establish appropriate measures for quality, performance, safety and production readiness.
• Experience applying responsible AI practices, including bias and fairness testing, output evaluation, guardrails and data protection.
• Understanding of the challenges involved in deploying AI within a regulated environment.
• Ability to identify technical, model and governance risks and elevate material concerns appropriately.
• Experience collaborating with software engineers, data engineers, product teams and business stakeholders.
• Strong documentation skills, including producing technical and governance artefacts required for audit, assurance and knowledge continuity.
• Comfortable participating in design discussions, architecture reviews, code reviews and engineering forums.
• Strong analytical and problem-solving skills, with the ability to validate data assumptions and assess model behaviour.
• Ability to communicate technical decisions clearly to both technical and non-technical stakeholders.
• Degree in Computer Science, Engineering, Mathematics or a related discipline, or equivalent professional experience.
• Relevant cloud or AI certifications would be advantageous.
• Demonstrable experience delivering AI solutions into production environments.

We're inclusive and welcome everyone - we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don't, we would still encourage you to apply. We also consider all forms of flexible working, including part-time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working - spending at least 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.