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 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 set ups depending on your location.
Staff AI / ML Engineer - Hybrid / Remote in Leeds employer: SR2 | Socially Responsible Recruitment | Certified B CorporationTM
Join a forward-thinking software business in Central London, where your role as a Staff AI/ML Engineer will not only shape the technical landscape but also contribute to meaningful solutions for a multi-billion industry. With a strong focus on employee growth and a collaborative work culture, you'll enjoy the flexibility of remote and hybrid working arrangements, alongside a competitive salary and comprehensive benefits package that reflects our commitment to your professional development.
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 Leeds
✨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. A personal recommendation can go a long way in landing that dream role.
✨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 your experience with frameworks like LangGraph and AWS, and how you've led teams in agile environments.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes the process smoother for everyone involved.
We think you need these skills to ace Staff AI / ML Engineer - Hybrid / Remote in Leeds
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 relevant projects or achievements that showcase your expertise in Python, AWS, and the frameworks mentioned in the job description. We want to see how you’ve applied your knowledge in real-world scenarios.
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 and Java skills, and be ready to discuss your experience with AWS and frameworks like LangGraph and Pydantic AI. Being able to talk confidently about your past projects will show that you’re not just a coder but a true technical leader.
✨Showcase Your Leadership Skills
This role is all about shaping strategy, so be prepared to share examples of how you've led teams or projects in the past. Think about times when you’ve set a vision for AI/ML initiatives or improved processes. Highlighting your ability to guide others will demonstrate that you’re ready for this leadership position.
✨Understand the Business Context
Since the company has been serving clients for over 20 years, it’s crucial to understand their business model and the industry they operate in. Research how AI can transform traditional practices like using PDFs and spreadsheets. Showing that you grasp the bigger picture will impress interviewers and prove you’re aligned with their goals.
✨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 essential for this role.
