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 Altrincham 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. Our collaborative work culture supports hybrid and remote setups, ensuring a flexible work-life balance as you contribute to meaningful projects for a diverse client base.
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 Altrincham
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's GitHub repos or case studies, let your work speak for itself. This is your chance to shine beyond the CV!
✨Tip Number 3
Prepare for the interview like it’s a hackathon! Brush up on your technical knowledge and be ready to discuss your experience with frameworks like LangGraph and AWS. Practice common interview questions and have your own ready too!
✨Tip Number 4
Don’t forget to 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 Altrincham
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 are genuinely interested in the position.
Be Clear About Your Leadership Experience:Since this is a technical leadership role, it’s crucial to articulate your leadership experience. Describe how you've shaped strategies and processes in previous roles, and how you can bring that expertise to our team at StudySmarter.
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 gives you a chance to explore more about what we do and our culture!
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 your experience with frameworks like LangGraph and Databricks. The interviewers will want to see that you can not only talk the talk but also walk the walk.
✨Showcase Your Leadership Skills
Since this is a technical leadership role, prepare examples of how you've shaped strategies or led teams in the past. Think about times when you’ve set AI/ML vision or implemented best practices. Be ready to discuss how you can guide others in building complex workflows and multi-agent systems.
✨Understand the Business Context
This role is about more than just coding; it’s about addressing a multi-billion industry. Research the company’s client base and their needs. Be prepared to discuss how your work can impact their operations and improve their transition from PDFs and spreadsheets to a modern AI product ecosystem.
✨Prepare for Collaborative Scenarios
Given the emphasis on working collaboratively with product teams, think of examples where you’ve successfully navigated fast-moving iterations. Be ready to discuss how you handle feedback and adapt to changes, as well as how you communicate technical concepts to non-technical stakeholders.
