At a Glance
- Tasks: Develop and maintain LLM-powered applications using Python in a remote setting.
- Company: Accelerant, a tech-driven company revolutionising the specialty insurance industry.
- Benefits: Competitive salary, bonus, fully remote work, and senior-level technical ownership.
- Other info: Collaborative environment with opportunities for growth and influence.
- Why this job: Join a team transforming global industries with cutting-edge AI and LLM technologies.
- Qualifications: Hands-on experience with LLMs and Python development is essential.
The predicted salary is between 60750 - 74250 £ per year.
Remote – UK | Competitive Salary + Bonus | Start ASAP
Build the Future of Specialty Insurance
Accelerant is transforming the specialty insurance industry through technology, data and AI. Our Risk Exchange combines proprietary data, technology and analytics to create a more efficient and scalable insurance ecosystem.
This is an opportunity for a strong Python Engineer with hands-on experience building and working with LLMs. You’ll be responsible for developing, maintaining and improving intelligent systems that form part of Accelerant's technology platform. You’ll work across Python development and LLM/AI engineering, taking solutions from development through to production and ensuring they remain reliable, scalable and effective.
You’ll be involved in:
- Building and maintaining LLM-powered applications and services
- Developing production-grade software using Python
- Integrating and working with LLMs, APIs and AI technologies
- Designing, testing and improving LLM-based solutions
- Taking AI/LLM solutions into production and maintaining them at scale
- Troubleshooting and improving existing systems
- Contributing to technical architecture and engineering decisions
- Working closely with engineers and other technical teams to build intelligent products
- Exploring new AI technologies and identifying opportunities to improve the platform
What We’re Looking For
The two key requirements are:
- Hands-on experience building, maintaining and working with LLMs / LLM-based applications
You’ll also ideally have experience with:
- Deploying and maintaining AI/LLM solutions in production
- LLM APIs, model integration or orchestration
- Cloud technologies
- Software engineering best practices, testing and CI/CD
- Working with data-intensive applications
Data Engineering experience is a bonus, particularly experience with:
- ETL/ELT
Why Accelerant?
This is a chance to work at the intersection of Python, AI, LLMs and data within a technology-led company that’s transforming a global industry. You’ll have the opportunity to work on interesting technical challenges, stay close to emerging AI technology and have genuine influence over how these capabilities are built and integrated into the platform.
Fully remote – UK
Competitive salary + bonus
Senior-level technical ownership
Hands-on work with AI and LLM technologies
Opportunity to work with large-scale proprietary data
Collaborative, high-performing engineering environment
If you're a Senior Python Engineer with hands-on LLM experience and want to work on meaningful AI applications within a growing technology business, we'd love to hear from you.
Python Developer employer: Accelerant
At Accelerant, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Lead ML Platform Engineer, you will have access to cutting-edge technology and the opportunity for professional growth while working alongside talented data scientists and engineers in a dynamic environment. Our commitment to employee development and a focus on impactful projects makes us an exceptional employer for those seeking meaningful and rewarding careers in AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer
✨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 Accelerant 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 Accelerant.
✨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 Accelerant.
✨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 Accelerant 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 Python Developer
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 Accelerant.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Accelerant 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 Accelerant
✨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 Accelerant 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.
