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- Tasks: Build and optimise machine learning models for innovative decision-making systems.
- Company: Dynamic AI Scale Up Consultancy focused on cutting-edge technology.
- Benefits: Flexible remote working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on explainable and auditable AI solutions.
- Why this job: Join a pioneering team and shape the future of AI-driven decision-making.
- Qualifications: Experience in machine learning and a passion for innovative technology.
The predicted salary is between 50000 - 70000 £ per year.
UK Wide - Remote Working/Flexible Working
Our client, a UK based AI Scale Up Consultancy, is building the execution layer of an agentic decisioning powered by specialised predictive agents: Demand forecasting.
What makes this different
- Your models won't sit in isolation. They will live inside agentic workflows where they must be:
- Explainable to a governance layer that challenges every decision
- Consumable by narrative agents translating outputs into action
- Fully auditable by clients
What you will work on
- Feature engineering at scale
- Embedding ML into agent-based systems
ML Engineer in London employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and 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 land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving feature engineering and agent-based systems. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on explainability and auditability in ML models. We need to be ready to discuss how our models fit into governance frameworks and how they can be translated into actionable insights.
✨Tip Number 4
Don’t forget to 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 take that extra step to connect with us directly.
We think you need these skills to ace ML Engineer in London
Some tips for your application 🫡
Show Your Passion for ML: When writing your application, let us see your enthusiasm for machine learning! Share any projects or experiences that highlight your skills in feature engineering and embedding ML into systems. We love to see candidates who are genuinely excited about the field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the ML Engineer role. Highlight relevant experiences that align with our focus on agentic decisioning and predictive agents. This shows us you’ve done your homework and understand what we’re all about!
Be Clear and Concise: In your written application, clarity is key! Use straightforward language and avoid jargon unless it’s necessary. We want to easily grasp your qualifications and how they fit with our needs, so keep it simple and to the point.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for both of us!
How to prepare for a job interview at MBN Solutions
✨Understand the Role
Before your interview, make sure you thoroughly understand what a Machine Learning Engineer does, especially in the context of agentic decisioning. Familiarise yourself with concepts like feature engineering and how ML integrates into agent-based systems. This will help you speak confidently about your relevant experience.
✨Showcase Your Projects
Prepare to discuss specific projects where you've implemented machine learning models. Highlight how you approached feature engineering and any challenges you faced. Be ready to explain your thought process and the impact your work had on the overall project, especially in terms of explainability and auditability.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to governance and how they ensure their models are explainable and auditable. This shows your genuine interest in their processes and helps you assess if the company aligns with your values.
✨Stay Updated on Trends
Make sure you're up-to-date with the latest trends in machine learning and AI, particularly around predictive agents and demand forecasting. Being able to discuss recent advancements or case studies can set you apart and demonstrate your passion for the field.