AI Engineer
Summary
Design and build AI models and systems to improve business operations and customer experiences using large, complex datasets in a collaborative, data-driven environment.
AI EngineerLondon (Hybrid - 3x a week) The CompanyThey are a large, data-driven organisation investing heavily in artificial intelligence and advanced analytics. Their AI team is focused on building innovative solutions that improve business operations, enhance customer experiences, and drive measurable commercial value. With access to large and complex datasets, they offer an environment where experimentation, collaboration, and technical excellence are encouraged.The Role
- Design, build and deploy scalable AI and machine learning solutions, taking projects from concept through to production.
- Develop AI-powered applications using Generative AI, Large Language Models and orchestration frameworks.
- Write high-quality Python code and contribute to cloud-native applications and services.
- Apply MLOps best practices, including CI/CD, containerisation, monitoring and observability.
- Partner with data scientists, engineers and business stakeholders to translate business challenges into impactful AI solutions.
- Monitor, evaluate and improve deployed models while ensuring responsible, secure and reliable AI deployment.
- Strong commercial experience in AI engineering, machine learning engineering or software engineering with applied AI.
- Proven experience building and deploying Generative AI applications using LLMs and orchestration frameworks.
- Strong Python programming skills and understanding of modern backend architectures.
- Experience working with cloud platforms and production-grade AI systems.
- Knowledge of MLOps, CI/CD, containerisation and model monitoring.
- Experience building data pipelines for model training, fine-tuning and inference.
- Solid grounding in machine learning, statistics and model evaluation techniques.
- Strong communication skills with the ability to engage technical and non-technical stakeholders.
- Commitment to responsible and ethical AI development.
- Competitive salary and comprehensive benefits package.
- Hybrid working model.
- Exposure to large-scale AI and machine learning projects.
- Opportunity to shape the direction of a growing AI capability.
- Ongoing professional development and clear career progression.
- Collaborative environment working alongside experienced AI, data and engineering professionals.