At a Glance
- Tasks: Design and develop scalable software solutions in Python for AI-assisted applications.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on mentorship and engineering excellence.
- Why this job: Make a real impact by enhancing AI application evaluation with cutting-edge technology.
- Qualifications: Strong Python skills and experience in cloud environments, especially Azure.
The predicted salary is between 63000 - 77000 £ per year.
Design, develop, and maintain scalable software solutions and services, primarily in Python, which measure the quality, reliability, performance, and safety of AI-assisted applications.
Build reusable platforms, frameworks, and tooling that enable teams across the organisation to evaluate AI-assisted applications consistently and efficiently.
Partner closely with data scientists and engineers to understand evaluation methodologies, translate requirements into technical solutions, and enable data-driven insights.
Support deployment and operational activities within Azure, collaborating with DevOps and platform teams where appropriate.
Own the technical direction, promote engineering best practices, mentor colleagues, and help raise technical standards across the team.
Leverage AI-assisted development tools responsibly and effectively to improve productivity, software quality, and delivery outcomes.
Experience designing and delivering robust, scalable systems and services in cloud environments.
Experience building platforms, frameworks, or shared services that support multiple users or teams.
Strong understanding of software engineering principles, including code quality, maintainability, security, and operational excellence.
Experience influencing technical direction, driving engineering improvements, or mentoring other engineers.
Curiosity about AI technologies and a commitment to using AI tools responsibly and effectively within the software development lifecycle.
Strong professional experience developing production software, with significant experience in Python.
Practical knowledge of DevOps practices, including CI/CD pipelines, automated testing, source control workflows, and application monitoring.
Experience working with cloud platforms, ideally Azure, including deploying and operating applications and services.
Senior Python Developer (AI-Assisted Application Evaluation) in Edinburgh employer: London Stock Exchange
The London Stock Exchange Group is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the Global Security Operations team. Employees benefit from comprehensive professional development opportunities, a strong commitment to work-life balance, and the chance to contribute to cutting-edge cybersecurity initiatives in one of the world's leading financial hubs. Join us to be part of a culture that values expertise and encourages growth while making a meaningful impact in the security landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Developer (AI-Assisted Application Evaluation) in Edinburgh
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at London Stock Exchange or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to London Stock Exchange.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like London Stock Exchange.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like London Stock Exchange that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Python Developer (AI-Assisted Application Evaluation) in Edinburgh
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at London Stock Exchange.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at London Stock Exchange and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at London Stock Exchange
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If London Stock Exchange uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
