Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy scalable machine learning solutions in a collaborative environment.
- Company: Leading organisation focused on operational improvements and innovation.
- Benefits: Competitive salary up to £90,000, hybrid work model, and career growth opportunities.
- Why this job: Join a dynamic team and make an impact with cutting-edge machine learning technology.
- Qualifications: Over 2 years of experience in building production ML systems and strong academic background.
- Other info: Exciting opportunity for professional development in Greater London.
The predicted salary is between 54000 - 72000 £ per year.
A leading organization in operational improvements is looking for a Machine Learning Engineer to develop and deploy scalable machine learning solutions. The ideal candidate will have over 2 years' experience in building production ML systems and a strong academic background.
Responsibilities include:
- Designing ML pipelines
- Collaborating with data engineers
- Deploying models in live environments
This full-time role is based in Greater London with a competitive salary of up to £90,000 and a hybrid work model.
Senior ML Engineer — Production Pipelines & Impact (London) employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Production Pipelines & Impact (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other ML engineers. 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 ML projects, especially those involving production pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common interview questions and work on real-world problems to demonstrate your expertise during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior ML Engineer — Production Pipelines & Impact (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building production ML systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: When applying, make sure to mention specific technologies and frameworks you’ve worked with. We’re keen on seeing your expertise in designing ML pipelines and deploying models, so let us know what you’ve got!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Jobster
✨Know Your ML Pipelines
Make sure you can discuss your experience with designing and deploying machine learning pipelines in detail. Be ready to explain the challenges you faced and how you overcame them, as this will show your problem-solving skills.
✨Collaborate Like a Pro
Since collaboration with data engineers is key, prepare examples of successful teamwork. Think about specific projects where you worked closely with others and how that led to better outcomes. This will highlight your ability to work in a team environment.
✨Stay Updated on Trends
Brush up on the latest trends in machine learning and production systems. Being able to discuss recent advancements or tools you've used will demonstrate your passion for the field and your commitment to continuous learning.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to operational improvements and their expectations for the role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
