Lead ML Engineer — AI Solutions Architect (Hybrid, London)

Lead ML Engineer — AI Solutions Architect (Hybrid, London)

Full-Time 130000 - 150000 £ / year (est.) Home office (partial)
Loop Recruitment

At a Glance

  • Tasks: Build and deploy cutting-edge ML systems while leading key projects.
  • Company: Loop Recruitment, a forward-thinking tech recruitment agency in London.
  • Benefits: Competitive salary up to £150K, hybrid work model, and career advancement.
  • Other info: Exciting opportunity for growth in a fast-paced environment.
  • Why this job: Join a dynamic team and shape the future of AI solutions.
  • Qualifications: Strong Python skills and experience with cloud platforms required.

The predicted salary is between 130000 - 150000 £ per year.

Loop Recruitment is seeking Senior and Lead Machine Learning Engineers in Central London. The roles involve building and deploying production-grade ML systems, designing scalable solutions, and leading technical architecture for key ML projects.

Ideal candidates will possess strong skills in Python, cloud platforms (AWS, Azure, GCP), and container orchestration. This is a hybrid position offering up to £150K for leads and up to £130K for seniors.

Lead ML Engineer — AI Solutions Architect (Hybrid, London) employer: Loop Recruitment

Loop Recruitment is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and machine learning. With competitive salaries and a hybrid working model in the vibrant heart of London, employees benefit from continuous professional development opportunities and the chance to lead cutting-edge projects that shape the future of technology. Join us to be part of a collaborative team that values creativity and growth, making a meaningful impact in the tech landscape.

Loop Recruitment

Contact Details:

Loop Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead ML Engineer — AI Solutions Architect (Hybrid, London)

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Loop Recruitment!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead ML Engineer — AI Solutions Architect (Hybrid, London) at Loop Recruitment.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Loop Recruitment.

Apply Directly through Our Website

When you find a suitable opening like Lead ML Engineer — AI Solutions Architect (Hybrid, London) at Loop Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lead ML Engineer — AI Solutions Architect (Hybrid, London)

Machine Learning
Python
Cloud Platforms (AWS, Azure, GCP)
Container Orchestration
Technical Architecture
Production-grade ML Systems
Scalable Solutions

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 Loop Recruitment, 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 Loop Recruitment. 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 Loop Recruitment

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 Loop Recruitment!

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.