Staff AI/ML Engineer

Salary: £45,000 - 83,000 per year

Requirements:

• Proficiency in Python, with at least one other language a plus
• Experience with key libraries such as PyTorch, Pandas, Hugging Face Transformers, or similar AI toolkits
• Working knowledge of common models, their use cases, and experience applying them to solve specific problems
• Solid engineering skills, including designing and implementing services, data models, and features
• Expertise with cloud computing platforms such as AWS, GCP, or Azure, and containerisation tools such as Docker and Kubernetes
• Expertise with modern data platforms such as BigQuery or Databricks, and data processing workflows including ETL and pipelines
• Excellent experience with cloud-hosted AI platforms such as Bedrock, Sagemaker, or VertexAI
• Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment
• Excellent communication and the ability to work effectively across diverse teams
• Experience developing AI/ML applications, including fine-tuning models or creating prototypes, is preferred
• Awareness of ethical considerations and emerging best practices in AI governance is preferred
• Track record of developing rapid prototypes and bringing them to production with a focus on measurable ROI is preferred
• Familiarity with distributed systems and large-scale data processing is preferred
• Contributions to open-source projects or a strong GitHub portfolio are preferred
• Thought leadership, such as articles or talks, is preferred
• High levels of technical curiosity and an eagerness to learn new platforms are preferred

Responsibilities:

• Collaborate with teams to research, scope, and validate AI use cases that drive business value and innovation
• Drive AI adoption by combining rigorous scientific evaluation with operational maturity to champion high-value applications and push back on unsuitable AI use cases
• Design, refine, and build the MLOps components of the data and AI platform, from vector databases through feature stores and model serving, at millisecond scale
• Implement CI/CD pipelines and ensure adherence to best practices for model deployment, security, and compliance with global regulations
• Work as part of our AI/ML guild, contributing ideas and helping drive new approaches and use cases
• Continuously monitor and optimise system performance to ensure scalability, security, and operational efficiency

Technologies:

• AI
• AWS
• Azure
• BigQuery
• CI/CD
• Cloud
• Databricks
• Docker
• ETL
• Fine-tuning
• GCP
• GitHub
• Support
• Kubernetes
• MLOps
• Model Serving
• PyTorch
• Python
• Security
• pandas

More:

Were Checkout.com, a global fintech company powering digital payments for ambitious businesses worldwide. Our platform enables over 10 billion transactions each year for more than one billion shoppers, supporting experiences across ecommerce, subscriptions, travel, food, and more. We have 20 offices across six continents, with London as our HQ, and we offer a hybrid working model with three days per week onsite in all of our offices. We support collaboration with colleagues globally and provide snacks, breakfast, and lunch in our office locations. We aim to create the conditions for high performers to thrive through real ownership, fewer blockers, and meaningful work from day one, while backing each other to succeed and helping people grow and make an impact.

last updated 35 week of 2026