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 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 your expertise and contributions.
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
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI/ML projects. This is your chance to demonstrate your expertise with frameworks like LangGraph and Pydantic AI, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've shaped AI/ML strategies in the past and how you can contribute to building complex agentic workflows.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Staff AI / ML Engineer - Hybrid / Remote
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 to align with the job description. Highlight your experience in deploying AI/ML solutions and working in agile environments. We love seeing candidates who take the time to connect their skills with what we’re looking for!
Be Clear About Your Technical Skills:We’re looking for someone with solid technical chops, so don’t hold back! Clearly outline your experience with Python, Java, AWS, and any other relevant tools or frameworks. Use specific examples to demonstrate your expertise and how it relates to the role.
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 serious about 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, 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
This role is all about technical leadership, so be prepared to discuss your vision for AI/ML strategies. Think about how you’ve led teams or projects in the past and be ready to share specific instances where you shaped processes or best practices. Highlight your ability to work collaboratively with product teams in fast-paced environments.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and your approach to building complex workflows. Think through potential scenarios involving multi-agent systems and LLM orchestration patterns. Practise articulating your thought process clearly, as this will demonstrate your strategic thinking and technical acumen.
✨Research the Company and Its Clients
Familiarise yourself with the company’s history and its client base. Understanding their journey over the last 20 years can give you insights into their culture and values. Be ready to discuss how you can contribute to their mission of creating a forward-looking AI product ecosystem, and show genuine enthusiasm for the meaningful work they do.
