At a Glance
- Tasks: Lead impactful ML research from concept to deployment in computer vision and AI.
- Company: Fast-growing tech company focused on making environments safer and smarter.
- Benefits: Hybrid work, high autonomy, and opportunities to mentor and shape the team.
- Other info: Dynamic environment with significant career growth potential.
- Why this job: Join a cutting-edge team and publish your work at top venues while making a real impact.
- Qualifications: PhD or Master's in Computer Vision, Machine Learning, or related field with strong coding skills.
The predicted salary is between 60000 - 75000 £ per year.
Location: London (Hybrid)
My client is a fast-growing technology business doing genuinely impactful work, building platforms that make physical environments safer and more intelligent. They operate at the cutting edge of computer vision and real-time AI, and they are scaling quickly.
They are looking to bring on an ML Researcher to join the machine learning team in London. You will own research directions end-to-end, from problem formulation through to production deployment, working across a range of computer vision and deep learning disciplines.
The expectation is to publish at top venues and ship at scale. There is also real scope to shape the research roadmap and mentor junior researchers as the team grows.
- PhD, or Master's with equivalent research experience, in Computer Vision, Machine Learning or a related discipline
- Deep expertise across one or more computer vision or spatial AI research areas
- Strong Python and PyTorch skills, with the ability to write production-quality code
- High autonomy and direct influence over the research roadmap
- Hybrid working
Research (Computer Science And Engineering) in City of London employer: Block MB
Block MB is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, team members are encouraged to influence engineering practices from the ground up, while enjoying competitive salaries and the chance to work on cutting-edge technology in a privacy-first environment. This role not only offers the opportunity to make a significant impact but also provides a supportive atmosphere for personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Research (Computer Science And Engineering) in City of 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 Block MB!
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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 Research (Computer Science And Engineering) at Block MB.
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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 Block MB.
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When you find a suitable opening like Research (Computer Science And Engineering) at Block MB, 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 Research (Computer Science And Engineering) in City of London
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 Block MB, 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 Block MB. 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 Block MB
✨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 Block MB!
✨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.
