At a Glance
- Tasks: Solve real-world machine learning problems and build impactful AI systems.
- Company: Dynamic AI team within a global business, offering startup vibes.
- Benefits: Competitive salary, equity, and hybrid work model.
- Other info: Opportunity for ownership and technical influence in a collaborative environment.
- Why this job: Join a high-calibre team and influence pricing and customer experience globally.
- Qualifications: Experience in machine learning engineering, time-series forecasting, and MLOps.
The predicted salary is between 100000 - 120000 £ per year.
This is a genuinely interesting opportunity for someone who enjoys solving large-scale, real-world machine learning problems rather than purely experimental work. The team is building forecasting, recommendation, pricing, and AI-driven decision systems that operate across a huge global dataset, with models directly influencing commercial decisions at scale.
The role is heavily focused on machine learning engineering, particularly around time-series forecasting, scalable ML systems, feature stores, and MLOps. There's also some exposure to generative AI and LLM-related work, but this is primarily a deeply technical ML engineering role rather than a pure GenAI position.
What makes the opportunity stand out is the blend of scale, technical complexity, and visibility. You'd be joining a relatively small but high‑calibre AI team with strong research and engineering backgrounds, helping shape systems that directly influence pricing, marketing, and customer experience across thousands of businesses globally.
They're looking for somebody who can stay hands‑on technically while also helping guide more junior engineers and contribute to the wider technical direction of the team. The environment feels like a startup within a larger global business. There's plenty of ownership, freedom to influence technical decisions, and the opportunity to work on genuinely impactful AI systems at scale.
Experience around forecasting, time‑series modelling, recommendation systems, production ML infrastructure, or large‑scale MLOps environments would all be highly relevant.
Salary: £100,000 - £120,000 plus equity and benefits.
Location: Hybrid – Two days per week onsite in the London office.
Senior / Lead Machine Learning Engineer - Time-Series, Pricing, Mlops in City of Westminster employer: Avanti Recruitment
Join a dynamic and innovative team as a Senior / Lead Machine Learning Engineer in London, where you'll tackle real-world machine learning challenges that have a direct impact on global business decisions. With a strong focus on employee growth, you'll enjoy a collaborative work culture that encourages technical ownership and creativity, alongside competitive compensation and equity options. This hybrid role offers the unique advantage of working within a high-calibre AI team, providing you with the opportunity to influence cutting-edge AI systems while mentoring junior engineers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior / Lead Machine Learning Engineer - Time-Series, Pricing, Mlops in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to time-series forecasting and MLOps. We want to see your hands-on experience, so make sure to highlight any impactful AI systems you've worked on.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML engineering knowledge. We recommend practising coding challenges and discussing your past projects in detail. Be ready to explain how you’ve tackled real-world problems with your models.
✨Tip Number 4
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 and contributing to impactful AI solutions.
We think you need these skills to ace Senior / Lead Machine Learning Engineer - Time-Series, Pricing, Mlops in City of Westminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with time-series forecasting, ML systems, and MLOps. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about this opportunity and how your background in machine learning engineering can make a difference in our team. Keep it engaging and personal.
Showcase Your Technical Skills:We’re looking for hands-on experience, so include specific examples of your work with scalable ML systems and feature stores. If you've tackled large-scale problems, let us know how you approached them!
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Avanti Recruitment
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially around time-series forecasting and MLOps. Be ready to discuss specific algorithms you've used and the challenges you faced in real-world applications. This shows you're not just theoretical but have hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past projects where you tackled large-scale ML problems. Highlight how you approached these challenges, the solutions you implemented, and the impact they had on the business. This will demonstrate your ability to think critically and apply your skills effectively.
✨Familiarise Yourself with Their Tech Stack
Research the tools and technologies commonly used in the company’s ML systems. If they mention feature stores or specific MLOps frameworks, make sure you understand them. Being able to speak their language will show that you're genuinely interested and ready to hit the ground running.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about their approach to scaling ML systems or how they integrate generative AI into their workflows. This not only shows your interest but also helps you gauge if the role aligns with your career goals.
