Senior ML Engineer: Real-Time Data & MLOps (London)
Senior ML Engineer: Real-Time Data & MLOps (London)

Senior ML Engineer: Real-Time Data & MLOps (London)

Full-Time 54000 - 90000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement machine learning models while ensuring data quality.
  • Company: Leading technology consulting firm based in London.
  • Benefits: Competitive pay of up to £450 per day and hybrid work model.
  • Why this job: Join a dynamic team and make an impact in the world of machine learning.
  • Qualifications: Bachelor's degree and 8+ years of experience in machine learning and programming.
  • Other info: Exciting opportunity for career growth in a fast-paced environment.

The predicted salary is between 54000 - 90000 £ per year.

A technology consulting firm is seeking a Machine Learning Engineer based in London. The ideal candidate will design and implement machine learning models, ensure data quality, and provide expertise to the team.

A Bachelor's degree in a relevant field and over 8 years of practical experience in machine learning and programming are essential.

The role is hybrid with compensation up to £450 per day.

Senior ML Engineer: Real-Time Data & MLOps (London) employer: N Consulting Limited

Join a forward-thinking technology consulting firm in London, where innovation meets collaboration. We offer a dynamic work culture that fosters creativity and professional growth, alongside competitive compensation and flexible hybrid working arrangements. Our commitment to employee development ensures that you will have ample opportunities to enhance your skills and advance your career in the exciting field of machine learning.
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Contact Detail:

N Consulting Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior ML Engineer: Real-Time Data & MLOps (London)

✨Tip Number 1

Network like a pro! Reach out to your connections in the tech industry, especially those in machine learning. A friendly chat can lead to insider info about job openings or even referrals that could give you an edge.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, having tangible examples of your work can really impress potential employers.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss your past experiences in detail. Confidence is key!

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like 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: Real-Time Data & MLOps (London)

Machine Learning
Data Quality Assurance
Model Design and Implementation
Programming
Expertise in Machine Learning Techniques
Bachelor's Degree in a Relevant Field
Practical Experience in Machine Learning
Hybrid Work Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in machine learning and programming. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you the perfect fit. We love seeing enthusiasm and a personal touch.

Showcase Your Technical Skills: Since this role involves designing and implementing ML models, be sure to mention specific technologies and methodologies you’ve worked with. We’re keen to know how you ensure data quality and your approach to MLOps.

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 N Consulting Limited

✨Know Your ML Models Inside Out

Make sure you can discuss the machine learning models you've worked on in detail. Be ready to explain your design choices, the challenges you faced, and how you ensured data quality. This shows your depth of knowledge and practical experience.

✨Brush Up on MLOps Practices

Since this role involves MLOps, be prepared to talk about your experience with deploying and maintaining machine learning models in production. Familiarise yourself with tools and frameworks commonly used in MLOps, as this will demonstrate your expertise and readiness for the role.

✨Prepare for Technical Questions

Expect technical questions that test your programming skills and understanding of algorithms. Practise coding problems related to machine learning and data manipulation. This will help you feel more confident and showcase your problem-solving abilities during the interview.

✨Showcase Your Team Collaboration Skills

This position requires providing expertise to the team, so be ready to discuss how you've collaborated with others in past projects. Share examples of how you’ve communicated complex ideas clearly and contributed to a team environment, as this is crucial for success in a consulting firm.

Senior ML Engineer: Real-Time Data & MLOps (London)
N Consulting Limited

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