Senior ML Engineer β€” Real-Time Disinformation Detection in London

Senior ML Engineer β€” Real-Time Disinformation Detection in London

London Full-Time 60000 - 80000 Β£ / year (est.) Working from home possible
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At a Glance

  • Tasks: Build cutting-edge ML systems to detect disinformation and collaborate with diverse teams.
  • Company: TechTree, a forward-thinking company in the heart of Greater London.
  • Benefits: Early-stage share options, generous holiday, private pension contributions, and remote-first culture.
  • Why this job: Join a mission-driven team and make a real impact in combating disinformation.
  • Qualifications: Experience in machine learning and a passion for innovative technology.

The predicted salary is between 60000 - 80000 Β£ per year.

TechTree is looking for a Senior Machine Learning Engineer in Greater London to build production-grade ML systems that detect disinformation. In this high-ownership role, you will collaborate with engineering and intelligence teams across the full ML lifecycle.

The position offers 0.25–0.5% early-stage share options, generous holiday, and private pension contributions, with a remote-first culture focused on outcomes.

Senior ML Engineer β€” Real-Time Disinformation Detection in London employer: TechTree

TechTree is an exceptional employer that fosters a remote-first culture prioritising outcomes, allowing you to thrive in a flexible work environment. With generous holiday allowances, private pension contributions, and early-stage share options, we are committed to your professional growth and well-being. Join us in Greater London to make a meaningful impact in the fight against disinformation while collaborating with talented teams across the full ML lifecycle.

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Contact Details:

TechTree Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior ML Engineer β€” Real-Time Disinformation Detection in 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 TechTree!

✨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 Senior ML Engineer β€” Real-Time Disinformation Detection at TechTree.

✨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 TechTree.

✨Apply Directly through Our Website

When you find a suitable opening like Senior ML Engineer β€” Real-Time Disinformation Detection at TechTree, 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 Senior ML Engineer β€” Real-Time Disinformation Detection in London

Machine Learning
Production-Grade System Development
Collaboration
Full ML Lifecycle Management
Disinformation Detection
Remote Work Adaptability
Outcome-Focused Mindset

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 TechTree, 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 TechTree. 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 TechTree

✨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 TechTree!

✨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.