At a Glance
- Tasks: Lead the strategy for an innovative AI product, shaping the future of technology.
- 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 technical leadership.
- Why this job: Make a real impact in a multi-billion industry by creating cutting-edge AI solutions.
- Qualifications: 4+ years in AI/ML production 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 AI / ML Engineer - Hybrid / Remote in London employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Join a leading software business in Central London that champions innovation and technical leadership in the AI/ML space. With a strong focus on employee growth, you will have the opportunity to shape the future of AI products while enjoying a competitive salary and a robust benefits package. The hybrid and remote working options provide flexibility, allowing you to thrive in a collaborative environment that values meaningful contributions and forward-thinking solutions.
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI / ML Engineer - Hybrid / Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space 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 showcasing your AI/ML projects. We want to see your work in action, so don’t be shy about sharing your GitHub or any cool demos you've built.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with frameworks like LangGraph and AWS. We’re looking for genuine technical leadership, so be ready to share your vision.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Staff AI / ML Engineer - Hybrid / Remote in London
Some tips for your application 🫡
Show Your Passion for AI/ML:When writing your application, let your enthusiasm for AI and ML shine through! We want to see how you can contribute to our vision of creating a forward-looking AI product ecosystem. Share any relevant projects or experiences that highlight your passion and expertise.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with multi-agent systems, LLM orchestration patterns, and the frameworks we use like LangGraph and Pydantic AI. This shows us you’ve done your homework and understand what we’re all about!
Be Clear About Your Leadership Experience:Since this is a technical leadership role, it’s crucial to emphasise your leadership skills. Talk about how you've shaped strategies in previous roles and how you’ve led teams in agile environments. We’re looking for someone who can guide us, not just code!
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join the StudySmarter team!
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, Java, and AWS skills, and be ready to discuss how you've deployed AI/ML solutions in production. Prepare examples of your experience with frameworks like LangGraph and Databricks to showcase your expertise.
✨Showcase Your Leadership Skills
Since this is a technical leadership role, be prepared to discuss your vision for AI/ML and how you’ve led teams or projects in the past. Think about specific instances where you shaped strategy or processes, and be ready to share how you can contribute to building a forward-looking AI product ecosystem.
✨Understand the Business Context
Familiarise yourself with the industry the company operates in and the challenges they face. Be ready to discuss how your technical skills can address these issues and improve their current systems that rely on PDFs and spreadsheets. This shows you’re not just a techie but also understand the bigger picture.
✨Prepare for Collaborative Scenarios
Given the emphasis on working collaboratively with product teams, think of examples where you’ve successfully worked in agile environments. Be ready to discuss how you handle fast-moving iterations and client-facing situations, as this will demonstrate your adaptability and teamwork skills.
