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 Manchester employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
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 Corporation™ Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI / ML Engineer - Hybrid / Remote in Manchester
✨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 Manchester
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 details about your experience with frameworks like LangGraph and tools like AWS or Datadog. We want to see how you’ve applied these 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 and shows us you’re serious about 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 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.
