TL;DR

Software Engineer (AI, Python): Building and optimizing a reliable, scalable, and secure real-time ML platform with an accent on backend services, API design, and infrastructure automation. Focus on deploying complex machine learning models, ensuring cost-efficient model serving, and centralised reporting.

Location: Hybrid; 1-2 days per week in the office in London

Salary: £65,000 - £80,000

Company

%hirify_global% is redefining insurance automation with advanced AI and data-driven processes to transform how claims and underwriting decisions are made.

What you will do

Collaborate with Product Managers and the Engagement team on solution design and product development.
Take responsibility for maintaining and improving parts of our backend stack, following engineering best practices.
Write robust and well-tested code, including unit, integration, and end-to-end automated tests for backend services.
Participate in code reviews, share feedback, and stay informed about emerging backend technologies.
Contribute to platform-related work, using infrastructure-as-code tools (AWS, Terraform, Kubernetes).
Support the growth of the team by sharing knowledge and collaborating closely with engineers and data scientists.

Requirements

Solid proficiency in software architecture using Python and FastAPI.
Experience working in fully cloud-hosted environments (e.g., AWS).
Solid RDBMS experience, preferably with PostgreSQL.
Experience building RESTful APIs and real-time data processing pipelines.
A good foundational understanding of modern software development lifecycles, including CI/CD, QA, and production releases in an agile environment.
Strong problem-solving skills with the ability to think critically and creatively, along with excellent communication and teamwork abilities.

Nice to have

Experience with Kubernetes, Apache Flink, Flux or Infrastructure-as-Code frameworks (e.g. Terraform).

Culture & Benefits

Annual pay reviews and %hirify_global% Share Options.
28 days’ annual leave plus bank holidays.
Hybrid working with 3 days per week working from home.
Private Health Insurance and Dental Insurance.
Learning and Development budget.
Monthly socials, both in London and Virtual, and WeWork perks.