At a Glance
- Tasks: Lead the development of innovative AI/ML solutions and shape technical strategy.
- Company: Established software business with a strong client base and a collaborative culture.
- Benefits: Competitive salary, strong benefits package, and flexible remote/hybrid working options.
- Other info: Join a dynamic team with opportunities for growth and innovation.
- Why this job: Make a real impact in a multi-billion industry by creating cutting-edge AI products.
- Qualifications: 4+ years in AI/ML solutions and 8+ years in software engineering required.
The predicted salary is between 120000 - 150000 € per year.
A technical leadership role shaping the strategy for an AI first product addressing a multi billion industry still running on PDFs and spreadsheets. The north star is creating a genuinely forward-looking AI product ecosystem, not just layering AI on legacy applications. There's meaningful work to do here and a client base won over 20 years to ship solutions to.
Your job at Staff level means you'll help set AI/ML vision, processes, and best practices genuine technical leadership, not a senior IC with a fancier title. This role leads on multi-agent systems and LLM orchestration patterns, building complex agentic workflows.
You'd be working with frameworks like LangGraph, Pydantic AI, and Agent SDK. Your background is most likely in an agile development environment where you are internal or external client facing, working collaboratively with product teams across fast moving iterations.
Technical requirements:- 4+ years deploying AI / ML solutions into production
- 8+ years experience in Software Engineering / data science
- Expert with Python / Java
- Strong AWS, Amazon Bedrock or equivalent
- Datadog, Databricks, MLFlow
- LangGraph, LangFuse, Claude, Gemini, ChatGPT
- Terraform, Docker, K8
- RMDB, Graph, Vector DBs
- Claude Code, Github
Company: Established software business, profitable and serving 1000+ customers based in Central London.
Package / what's on offer: Salary in the region of £120K - £150K + a strong benefits package. Remote and Hybrid working set ups depending on your location.
Staff Software Engineer (AI / ML) - Hybrid / Remote employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Join a pioneering software business in Central London that is at the forefront of AI innovation, where your role as a Staff Software Engineer will not only influence technical direction but also shape the future of an industry ripe for transformation. With a strong focus on employee growth and a collaborative work culture, you will have the opportunity to lead cutting-edge projects while enjoying a competitive salary and a robust benefits package, all within a flexible hybrid or remote working environment.
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer (AI / ML) - Hybrid / Remote
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI/ML projects. We want to see your work in action, so make it easy for potential employers to check out what you can do.
✨Tip Number 3
Prepare for those interviews! Research common questions for technical leadership roles and practice your answers. We suggest doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented individuals like you. By applying directly, you’ll ensure your application gets the attention it deserves, and we can’t wait to see what you bring to the table!
We think you need these skills to ace Staff Software Engineer (AI / ML) - Hybrid / Remote
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with our job description. Highlight your expertise in AI/ML, Python, and any relevant frameworks like LangGraph or Pydantic AI. We want to see how you can contribute to shaping our AI-first product strategy!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how your background in software engineering makes you a perfect fit for this role. Don’t forget to mention your experience in agile environments and client-facing roles – we love collaboration!
Showcase Your Projects:If you've worked on any cool AI/ML projects, make sure to include them! Whether it's deploying solutions or building complex workflows, we want to see what you've done. Use links to GitHub or other platforms to give us a peek at your work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical requirements listed in the job description. Brush up on your Python and Java skills, and be ready to discuss your experience with AWS and AI/ML frameworks like LangGraph and Databricks. Being able to talk confidently about your past projects will show that you’re not just a coder but a true technical leader.
✨Showcase Your Leadership Skills
This role is all about shaping strategy, so be prepared to discuss how you've led teams or projects in the past. Think of specific examples where you’ve set a vision or implemented best practices in an agile environment. Highlighting your ability to work collaboratively with product teams will demonstrate that you can drive meaningful change.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills, especially around multi-agent systems and LLM orchestration patterns. Prepare to walk through your thought process on how you would tackle complex workflows. This will help interviewers see your analytical thinking and how you approach challenges in real-world scenarios.
✨Understand the Company’s Vision
Research the company’s history and its client base. Knowing how they’ve evolved over 20 years and their current goals will allow you to align your answers with their vision. Be ready to discuss how you can contribute to creating a forward-looking AI product ecosystem, showing that you’re genuinely interested in their mission.
