At a Glance
- Tasks: Lead the strategy for an innovative AI product ecosystem and shape technical best practices.
- Company: Established software business with a strong client base and a collaborative culture.
- Benefits: Competitive salary, strong benefits package, and flexible remote or hybrid working options.
- Other info: Join a dynamic team with opportunities for growth and influence in a fast-paced environment.
- Why this job: Make a real impact in a multi-billion industry by developing cutting-edge AI solutions.
- Qualifications: 4+ years in AI/ML production, 8+ years in software engineering, and expertise 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 set ups depending on your location.
Staff AI / ML Engineer - Hybrid / Remote in Slough 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 expertise as a Staff AI/ML Engineer will directly influence the development of cutting-edge solutions for a multi-billion industry. With a strong focus on employee growth and a collaborative work culture, you will enjoy the flexibility of remote and hybrid working arrangements, alongside a competitive salary and comprehensive benefits package, making this an exceptional place to advance your career while contributing to meaningful projects.
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 Slough
✨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 showcasing your AI/ML projects, especially those involving multi-agent systems or LLM orchestration. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've shaped AI/ML strategies in past roles and how you can lead teams effectively in this new position.
✨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’s the best way to ensure your application gets seen by the right people.
We think you need these skills to ace Staff AI / ML Engineer - Hybrid / Remote in Slough
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 show us your passion for AI and ML. Share specific examples of how you've led teams or projects in the past, and don’t forget to mention why you’re excited about working with us at StudySmarter.
Showcase Your Technical Skills:We want to see your expertise in action! Include relevant projects or contributions that demonstrate your proficiency with Python, AWS, and any frameworks like LangGraph or Pydantic AI. This will help us understand your hands-on experience.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!
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. 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 prepared 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 ready 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.
