Staff Engineer Python - Energy Trading

Staff Engineer Python - Energy Trading

Full-Time 180000 - 180000 £ / year (est.) Remote
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At a Glance

  • Tasks: Lead the development of AI-driven trading applications and enhance software engineering practices.
  • Company: Fast-growing energy tech company transforming renewable energy management across Europe.
  • Benefits: Salary up to £180k, stock options, pension, and impactful career progression.
  • Other info: Flexible work-from-home options and a collaborative, innovative environment.
  • Why this job: Shape the future of energy trading with cutting-edge AI technologies and make a real difference.
  • Qualifications: Strong Python skills, experience in AI technologies, and leadership in software delivery.

The predicted salary is between 180000 - 180000 £ per year.

Staff Engineer / Lead Developer (Python) London / WFH to £180k Are you a highly capable Python Engineer excited by the potential of AI, agentic systems and building high-performance software?

This is an opportunity to take a leading role in shaping an AI native engineering environment within a fast growing energy technology business.

Backed by major investors, the company is transforming how renewable energy is managed and traded across Europe.

As a Staff Engineer, you'll combine hands-on software engineering with technical leadership, spearheading the development of a new trading application while driving the adoption of AI across the engineering function.

You'll work with modern AI technologies including RAG, MCP and agentic workflows, exploring how LLMs and AI powered tools can improve development processes and deliver new product capabilities.

You'll help define the AI strategy, establish appropriate guardrails and ensure solutions meet regulatory and operational requirements.

Alongside this you'll be hands-on, collaborating with quantitative analysts and data scientists to turn research models into reliable, production grade software.

You'll take ownership of the Python codebase, refactoring research driven code into clean, maintainable components and setting standards across architecture, testing, performance and observability.

You'll also provide technical direction and mentorship while remaining actively involved in design and development.

Location / WFH: You'll be based in the London office with flexibility to work from home twice a week.

About you: You have a strong commercial software engineering background, with excellent Python skills You have experience of designing and building robust, high-performance production systems You have hands-on experience with AI / LLM technologies, ideally including RAG, MCP, agentic workflows and LLM powered applications You have a good understanding of AI governance, guardrails, security and regulatory considerations You have experience of leading technical delivery, setting engineering standards and improving software architecture You're comfortable refactoring complex codebases and driving engineering best practice You're collaborative and pragmatic with great communication skills What's in it for you: Salary to £180k Stock options Pension Impactful role with excellent progression Apply now to find out more about this Staff Engineer / Lead Developer opportunity.

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Staff Engineer Python - Energy Trading employer: Client Server

Join a dynamic and innovative FinTech company that values technical expertise and offers a collaborative work culture. With a competitive salary of up to £100k plus bonuses, you'll have the opportunity to make a significant impact while enjoying hybrid working arrangements in London. The company prioritises employee growth, providing ample opportunities for career progression and staying at the forefront of emerging technologies in the finance sector.

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Contact Details:

Client Server Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Engineer Python - Energy Trading

✨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 Client Server 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 Client Server.

✨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 Client Server.

✨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 Client Server 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 Staff Engineer Python - Energy Trading

Python
AI Technologies
RAG
MCP
Agentic Workflows
LLM Powered Applications
Software Engineering

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 Client Server.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Client Server 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 Client Server

✨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 Client Server 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.