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 leadership in AI technology.
- 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; expert in Python/Java.
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, K8s
- MDB, 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 setups depending on your location
Staff AI / ML Engineer - Hybrid / Remote in London employer: SR2 | Socially Responsible Recruitment | Certified B CorporationTM
Join a leading software business in Central London that prioritises 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, all within a flexible hybrid or remote working environment. This is a place where your expertise will directly impact a diverse client base and contribute to meaningful advancements in technology.
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B CorporationTM 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 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 workflows in this new role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Plus, it shows you’re genuinely interested in being part of our mission to revolutionise the industry.
We think you need these skills to ace Staff AI / ML Engineer - Hybrid / Remote in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Staff AI / ML Engineer role. Highlight your technical leadership experience and any projects where you've shaped AI/ML strategies, as this is what we’re really looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI and how your background in software engineering makes you a perfect fit for our team. Don’t forget to mention your experience with frameworks like LangGraph or Pydantic AI.
Showcase Your Projects:If you’ve worked on any relevant projects, especially those involving multi-agent systems or LLM orchestration, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B CorporationTM
✨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. Being able to talk confidently about your past projects will show that you’re not just a candidate, but a potential leader.
✨Showcase Your Leadership Skills
Since this is a technical leadership role, prepare examples of how you've shaped strategies or processes in previous positions. Think about times when you’ve led teams or influenced product direction. This will demonstrate your capability to set the AI/ML vision and best practices that the company is looking for.
✨Understand the Business Context
Familiarise yourself with the industry the company operates in, especially how they are moving away from PDFs and spreadsheets. Be ready to discuss how you can contribute to creating a forward-looking AI product ecosystem. Showing that you understand the bigger picture will set you apart from other candidates.
✨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 prepared to discuss how you handle fast-moving iterations and client-facing situations. This will highlight your adaptability and teamwork skills, which are crucial for this role.
