Senior ML Engineer: Real-Time Personalization & Recommendations

Senior ML Engineer: Real-Time Personalization & Recommendations

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Premier IT

At a Glance

  • Tasks: Design and deliver advanced personalisation and recommendation solutions using real-time decisioning engines.
  • Company: Join a forward-thinking company at the forefront of machine learning innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Work in a dynamic environment that embraces cloud technologies.
  • Why this job: Make a real impact by enhancing marketing effectiveness with intelligent models.
  • Qualifications: 7+ years in production ML solutions and solid AWS experience required.

The predicted salary is between 80000 - 100000 £ per year.

Premier Group is looking for a Senior Machine Learning Engineer to design and deliver advanced personalisation and recommendation solutions. This role will primarily focus on building real-time decisioning engines and enhancing marketing effectiveness through intelligent models.

The ideal candidate will have over 7 years of experience in production ML solutions, solid AWS experience, and a proven track record in developing recommendation systems. This is an opportunity to work in a forward-thinking environment leveraging cloud technologies.

Senior ML Engineer: Real-Time Personalization & Recommendations employer: Premier IT

At Premier Group, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As a Senior Machine Learning Engineer, you will have access to cutting-edge technology and the opportunity for professional growth within a collaborative team environment. Our commitment to employee development, coupled with the exciting challenges of working on real-time personalisation solutions, makes us an exceptional employer in the tech industry.

Premier IT

Contact Details:

Premier IT Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Engineer: Real-Time Personalization & Recommendations

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Apply Directly through Our Website

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We think you need these skills to ace Senior ML Engineer: Real-Time Personalization & Recommendations

Machine Learning
Real-Time Decisioning
Personalisation Solutions
Recommendation Systems
AWS
Production ML Solutions
Cloud Technologies

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Premier IT, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Premier IT. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Premier IT

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Premier IT!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.