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 or data science.
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 Bury 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 meaningful contributions and forward-thinking solutions.
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 Bury
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space 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 showcasing your AI/ML projects. We want to see your work in action, so make sure to highlight any complex workflows or systems you've built.
✨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 come prepared 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. We’re excited to find someone who can help shape our AI/ML strategy, so don’t hesitate to put yourself out there!
We think you need these skills to ace Staff AI / ML Engineer - Hybrid / Remote in Bury
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 how you can contribute to our vision. Share specific examples of your work with multi-agent systems or LLM orchestration patterns to grab our attention.
Showcase Your Technical Skills:Don’t just list your skills; demonstrate them! Include projects or achievements that showcase your expertise in Python, Java, and AWS. We want to see how you’ve deployed AI/ML solutions into production and the impact they had.
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 don’t miss out on any important updates about the process. Plus, it shows us you’re keen to join our team!
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
Since this is a technical leadership role, be prepared to talk about your experience in shaping AI/ML vision and processes. Think of specific instances where you’ve led teams or projects, and how you’ve influenced best practices in an agile environment. Highlight your ability to work collaboratively with product teams.
✨Understand the Business Impact
This role isn’t just about coding; it’s about creating a forward-looking AI product ecosystem. Be ready to discuss how your work can address the challenges of a multi-billion industry still relying on outdated systems. Show that you understand the bigger picture and how your technical decisions can drive business success.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving skills and technical judgement. Think through potential challenges you might encounter when building complex agentic workflows or orchestrating LLMs. Practise articulating your thought process clearly and confidently.
