At a Glance
- Tasks: Design and develop scalable software solutions for AI-assisted applications.
- Company: Join a leading global financial markets infrastructure provider with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for career growth.
- Other info: Collaborative culture with flexible work arrangements and commitment to sustainability.
- Why this job: Make an impact by shaping the future of AI technologies in finance.
- Qualifications: Strong Python skills and experience in software engineering principles.
The predicted salary is between 63000 - 77000 £ per year.
Build the platforms that help shape how AI-assisted applications are evaluated across our organisation. We're looking for a Lead Software Engineer to design and develop scalable software solutions that enable the testing, evaluation, and continuous improvement of AI-powered products. Working at the intersection of software engineering, data science, and AI, you'll help create the technical foundations that support reliable, data-driven decision making across the organisation.
Our Lead Software Engineers are hands-on technical leaders who design, build, and evolve scalable software systems while providing technical leadership within their area of expertise. In this role, you'll work closely with software engineers and data scientists to develop platforms, services, and tooling that support AI application evaluation. You'll contribute across the software lifecycle, from solution design and architecture through implementation, deployment, and operation, while helping establish engineering standards that promote quality, maintainability, and the responsible use of AI.
You will:
- 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.
Requirements:
- Strong professional experience developing production software, with significant experience in Python.
- Strong understanding of software engineering principles, including code quality, maintainability, security, and operational excellence.
- Experience building platforms, frameworks, or shared services that support multiple users or teams.
- Curiosity about AI technologies and a commitment to using AI tools responsibly and effectively within the software development lifecycle.
Desirable:
- Practical knowledge of DevOps practices, including CI/CD pipelines, automated testing, source control workflows, and application monitoring.
We offer a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development. We deliver brand-new AI-products that democratize financial analytics solutions. We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.
We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role will require attending the office at least three days per week.
Join us and be part of a team that values innovation, quality, and continuous improvement. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives.
Senior Python Developer (Blockchain) in Edinburgh employer: London Stock Exchange Group
At London Stock Exchange Group, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Java Engineer in our Risk Platform team, you will have access to unparalleled growth opportunities, working alongside industry experts in a vibrant London setting that champions diversity and professional development. Join us to make a meaningful impact while enjoying competitive benefits and a supportive environment that values your contributions.
Contact Details:
London Stock Exchange Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Developer (Blockchain) in Edinburgh
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We think you need these skills to ace Senior Python Developer (Blockchain) 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 Group.
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 Group 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 Group
✨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 Group 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.
