At a Glance
- Tasks: Lead the strategy for an innovative AI product ecosystem, 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 or 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 developing 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, not just the code 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 Software Engineer (AI / ML) - 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 flexible hybrid or remote working environment. Our collaborative culture and commitment to meaningful work ensure that you will be part of a team dedicated to delivering cutting-edge solutions to 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 Software Engineer (AI / ML) - Hybrid / Remote in Altrincham
✨Tip Number 1
Network like a pro! Reach out to folks in your industry 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 or GitHub repository showcasing your AI/ML projects. We want to see your work in action, so make it easy for potential employers to check out what you can do.
✨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 Software Engineer (AI / ML) - Hybrid / Remote in Altrincham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with our job description. Highlight your expertise in AI/ML, Python, and any relevant frameworks like LangGraph or Databricks. We want to see how you can contribute to shaping our AI-first product strategy!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how your background in software engineering makes you a perfect fit for this role. Don’t forget to mention your experience in agile environments and client-facing roles.
Showcase Your Projects:If you've worked on any interesting AI/ML projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they involve multi-agent systems or complex workflows. This helps us understand your hands-on experience!
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 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 AI/ML solutions. Prepare to share specific examples of how you've deployed these technologies in production.
✨Showcase Your Leadership Skills
This role is all about technical leadership, so be prepared to talk about your experience in shaping strategies and processes. Think of instances where you’ve led teams or projects, especially in agile environments, and how you’ve influenced product direction. Highlight your ability to work collaboratively with product teams.
✨Familiarise Yourself with Relevant Frameworks
Get to grips with frameworks like LangGraph, Pydantic AI, and Agent SDK before the interview. Be ready to discuss how you’ve used these tools in past projects or how you would approach using them in this role. Showing that you can hit the ground running will impress your interviewers.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about the company’s AI vision and the challenges they face. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Ask about their current projects and how they envision the future of their AI product ecosystem.
