At a Glance
- Tasks: Solve real-world machine learning problems and build AI-driven decision systems.
- Company: Join a high-calibre AI team within a global business.
- Benefits: Competitive salary, equity, and a hybrid work model.
- Other info: Dynamic startup-like environment with opportunities for growth.
- Why this job: Make a significant impact on pricing and customer experience globally.
- Qualifications: Experience in machine learning engineering and mentoring junior engineers.
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.
Senior / Lead Machine Learning Engineer - Time-Series, Pricing, MLOps in Warrington employer: Avanti Recruitment
As a Senior / Lead Machine Learning Engineer at our London-based company, you will thrive in a dynamic and innovative environment that values technical expertise and collaboration. We offer competitive salaries, equity options, and a culture that encourages continuous learning and professional growth, allowing you to work on impactful projects that shape the future of AI-driven decision systems. Join a high-calibre team where your contributions directly influence commercial strategies across a global dataset, all while enjoying the benefits of a hybrid work model.
StudySmarter Expert Advice🤫
We think this is how you could land Senior / Lead Machine Learning Engineer - Time-Series, Pricing, MLOps in Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 machine learning projects, especially those related to time-series forecasting and MLOps. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML engineering concepts. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨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 proactive about their job search!
We think you need these skills to ace Senior / Lead Machine Learning Engineer - Time-Series, Pricing, MLOps in Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with time-series forecasting and MLOps. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for solving real-world machine learning problems and how you can contribute to our AI team’s success.
Showcase Your Technical Skills:In your application, mention specific tools and frameworks you’ve used in machine learning engineering. We’re keen on seeing your hands-on experience, especially with scalable ML systems and feature stores.
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’re considered for this exciting opportunity in our growing AI team!
How to prepare for a job interview at Avanti Recruitment
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts, especially around time-series forecasting and MLOps. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you solved them. This role is all about practical application, so show them you can think critically about real-world problems.
✨Showcase Your Technical Skills
Prepare to dive deep into your technical expertise. Bring examples of scalable ML systems you've built or contributed to, and be ready to explain your approach to feature stores. They want to see that you're not just a theorist but someone who can get hands-on and deliver results.
✨Demonstrate Leadership Potential
Since this role involves guiding junior engineers, think about times you've mentored others or led a project. Be prepared to discuss your leadership style and how you can contribute to the team's technical direction. They’re looking for someone who can inspire and elevate the team.
✨Understand the Business Impact
This position is all about influencing commercial decisions, so do your homework on how machine learning can drive pricing and customer experience. Be ready to discuss how your work can impact the bottom line and improve business outcomes. Showing that you understand the bigger picture will set you apart.
