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For Companies At a Glance
- Tasks: Design and build ML models to unlock insights from complex data.
- Company: Fast-growing analytics company pushing AI boundaries.
- Benefits: Competitive salary, share options, 30 days holiday, and pension.
- Why this job: Make a real-world impact with your AI models and work on exciting projects.
- Qualifications: Strong Python skills and experience with ML systems required.
- Other info: Join a dynamic team and enjoy great work-life balance.
The predicted salary is between 36000 - 60000 £ per year.
Overview
We’re a fast-growing analytics company using AI to unlock insights from complex behavioural data. We turn messy, real-world datasets into actionable predictions that drive real business outcomes, and we’re looking for an AI Engineer to help us push the limits of what’s possible.
What You’ll Do
- Design, build, and productionise ML & deep learning models for behavioural forecasting
- Develop scalable, reliable data pipelines to support training and inference
- Work hands-on with large-scale, temporal datasets to uncover patterns and insights
- Collaborate with product and engineering teams to ensure models make a real-world impact
What You’ll Bring
- Strong Python skills and experience delivering production-grade ML systems
- Solid grounding in machine learning, deep learning, or applied AI
- Hands-on experience working with large behavioural datasets (SQL + modern data stack)
- A proactive, problem-solving mindset and a passion for turning data into deployed, impactful AI
- Degree from a top university preferred, plus 2–3+ years of relevant experience
- High impact — Own end-to-end projects and see your models deployed in live systems
- Complex, real-world data — Work at scale on messy, behavioural datasets
- Great package — Competitive salary + meaningful share options
- Work-life balance — 30 days holiday + pension
If you’re an AI engineer who wants to build models that actually get used, this is your chance to make your mark. Apply now.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Technology, Information and Media
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AI Engineer employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML and deep learning. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with large datasets and production-grade systems.
✨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 are genuinely interested in joining our team.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong Python skills and any experience you have with ML systems. We want to see how you've tackled real-world problems using your technical expertise!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to showcase your experience with large behavioural datasets and how you've made an impact in previous roles. We love seeing specific examples!
Be Proactive: We’re looking for a problem-solver, so don’t shy away from sharing instances where you’ve taken the initiative. Tell us about projects you’ve owned from start to finish and the results you achieved.
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 from our team!
How to prepare for a job interview at Understanding Recruitment
✨Know Your Models
Make sure you can discuss the machine learning and deep learning models you've worked with in detail. Be ready to explain how you designed, built, and productionised them, as well as the impact they had on real-world problems.
✨Showcase Your Data Skills
Prepare to talk about your experience with large behavioural datasets. Bring examples of how you've developed scalable data pipelines and any challenges you faced while working with messy data. This will demonstrate your hands-on experience and problem-solving mindset.
✨Collaborate Like a Pro
Since collaboration is key, think of examples where you've worked with product and engineering teams. Highlight how your contributions helped ensure that models made a real-world impact, showcasing your ability to work effectively in a team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their mission of turning data into actionable insights.
