Artificial Intelligence Engineer

About Albany Beck

Albany Beck is a specialist Financial Services Consultancy helping institutions deliver complex change and transformation while building the internal capability to sustain it. We combine subject matter expertise with innovative delivery models that help clients scale efficiently, while offering meaningful, long-term career opportunities to our people. At Albany Beck, you’ll be choosing to work with an organisation that’s passionate about your learning journey and committed to your professional and personal development.

Role Overview

We are seeking an AI Engineer to help design, develop and enhance our AI platform capabilities. The successful candidate will have strong technical expertise in machine learning, model evaluation, Python development and AWS cloud technologies.

Working as part of a multidisciplinary engineering team, you will contribute to building scalable, reliable and production-ready AI capabilities, ensuring models can be effectively evaluated, deployed and integrated into platform services.

Key Responsibilities

• AI & Machine Learning: Design, develop and implement machine learning solutions to support and enhance platform capabilities.
• Model Evaluation: Develop and implement frameworks, methodologies and processes to evaluate model performance, accuracy, reliability and robustness.
• Python Engineering: Build, maintain and optimise Python-based applications, services and tools supporting AI and machine learning workloads.
• AWS Cloud Engineering: Leverage AWS services to develop, deploy, scale and maintain AI and machine learning solutions within a cloud environment.
• Platform Development: Contribute to the design and evolution of reusable AI platform components, services and capabilities.
• Performance & Reliability: Identify opportunities to improve model performance, scalability, efficiency and operational resilience.
• Engineering Best Practices: Apply software engineering principles, testing, version control and CI/CD practices to deliver maintainable, production-quality solutions.
• Collaboration: Work closely with platform engineers, data scientists and other technical stakeholders to translate business and technical requirements into effective AI solutions.

Essential Skills & Experience

• Strong experience in machine learning, including the development and application of ML models.
• Practical experience in model evaluation, including defining metrics, testing model performance and interpreting evaluation results.
• Strong proficiency in Python for software development, data processing and machine learning applications.
• Hands-on experience with AWS cloud services and deploying or operating applications in cloud environments.
• Understanding of software engineering principles and the development of scalable, maintainable applications.
• Experience working with production systems or contributing to the deployment and operationalisation of machine learning models.
• Strong analytical and problem-solving skills, with the ability to investigate technical challenges and deliver effective solutions.
• Ability to collaborate effectively within an engineering team and communicate technical concepts clearly.

Desirable Skills & Experience

• Experience building or enhancing AI platforms, shared services or reusable ML infrastructure.
• Familiarity with machine learning frameworks such as PyTorch, TensorFlow or scikit-learn.
• Experience with AWS AI/ML services, such as Amazon SageMaker.
• Knowledge of model monitoring, drift detection, explainability and ongoing model performance assessment.
• Experience with containerisation and orchestration technologies, such as Docker and Kubernetes.
• Familiarity with automated testing, CI/CD pipelines, infrastructure as code and MLOps practices.
• Understanding of generative AI, large language models (LLMs) and evaluation techniques for AI-powered applications.