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 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 creating 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 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 Leigh 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 Leigh
✨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
Showcase your expertise! Create a portfolio or GitHub repository that highlights your AI/ML projects. This is your chance to demonstrate your skills with frameworks like LangGraph and Pydantic AI, making it easier for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of multi-agent systems and LLM orchestration patterns. Be ready to discuss how you've implemented these in past roles, as this will show your genuine technical leadership capabilities.
✨Tip Number 4
Apply through our website! We love seeing candidates who are proactive about their job search. Plus, applying directly gives you a better chance to stand out and connect with our hiring team.
We think you need these skills to ace Staff AI / ML Engineer - Hybrid / Remote in Leigh
Some tips for your application 🫡
Show Your Passion for AI/ML:When writing your application, let your enthusiasm for AI and ML shine through! We want to see how you can contribute to our vision of creating a forward-looking AI product ecosystem. Share any relevant projects or experiences that highlight your passion and expertise.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with multi-agent systems, LLM orchestration patterns, and the frameworks we use like LangGraph and Pydantic AI. This shows us you’ve done your homework and understand what we’re looking for.
Be Clear About Your Leadership Experience:Since this is a technical leadership role, it’s crucial to emphasise your leadership skills. Share examples of how you've shaped strategies or processes in previous roles, especially in agile environments. We want to know how you can lead our AI/ML vision!
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. Plus, it shows us you’re keen to join 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
This role is all about shaping strategy, so be prepared to discuss how you've led teams or projects in the past. Think of specific examples where you’ve set a vision or implemented best practices in AI/ML. Highlighting your ability to guide others will resonate well with the interviewers.
✨Understand the Business Context
Since this position involves working with a long-standing client base, it’s crucial to understand their needs and challenges. Research the industry and think about how AI can transform traditional processes. Showing that you grasp the bigger picture will set you apart from other candidates.
✨Prepare for Collaborative Scenarios
Given the emphasis on working with product teams, be ready to discuss how you’ve collaborated in fast-paced environments. Prepare examples of how you’ve navigated challenges in team settings, especially when it comes to agile development. This will demonstrate your adaptability and teamwork skills.
