Software Engineer 198763
Software Engineer 198763
Posted 17 days ago
SENIORITY
Lead
About the role
- Building and scaling full-stack applications that combine advanced analytics, AI capabilities, and intuitive user experiences
- Designing and maintaining application infrastructure, APIs, and shared services
- Working closely with product, design, analytics, and business stakeholders to define and deliver solutions
- Developing software that brings machine learning and predictive analytics insights into day-to-day decision making
- Contributing to architectural decisions and helping establish engineering best practices
- Building AI-enabled workflows and tools that support repeatable, high-quality analytical processes
- Improving development, deployment, testing, and operational processes
- Supporting a collaborative, high-performing engineering culture through code reviews and knowledge sharing
- Your Skills & Experience
- Strong commercial experience in full-stack software engineering
- Excellent Python development skills
- Commercial experience with React, TypeScript, Node.js, or comparable modern web technologies
- Experience building and deploying production-ready applications
- Understanding of machine learning, predictive analytics, or data science workflows
- Experience developing AI-enabled products, LLM-powered features, or intelligent automation solutions
- Strong API design and backend engineering capabilities
- Familiarity with cloud platforms such as Microsoft Azure or AWSProduct-focused mindset with the ability to work through ambiguity and influence technical direction
- Excellent stakeholder management and communication skills
- Experience working with analytics, financial, real estate, or other data-intensive environments is advantageous
- What They Offer
- Opportunity to work on a flagship AI and predictive analytics platform
- Exposure to senior business and executive stakeholders
- High-impact work with significant commercial visibility
- Strong career progression within a growing innovation function
- Collaborative environment combining product, data science, and engineering expertise
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
