At a Glance
- Tasks: Transform research questions into prototypes in computer vision and machine learning.
- Company: Join Encord, a leading data platform for AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Gain hands-on experience with multimodal inputs and contribute to exciting AI projects.
- Why this job: Make a real impact in AI by working with cutting-edge technology and real-world data.
- Qualifications: PhD or equivalent experience in applied research, strong Python and PyTorch skills.
The predicted salary is between 45000 - 55000 £ per year.
This role asks for someone who can take an open research question in computer vision and multimodal machine learning and carry it from hypothesis to a working prototype, then help move it into a real product. A strong candidate has a PhD or comparable applied research record, solid maths, strong Python and PyTorch, and hands-on experience running experiments end to end.
Genuine interest in data curation, annotation and evaluation matters, since that is the core of the platform.
The work sits close to where AI is applied to messy real world data such as video, sensor and 3D inputs for robots and physical systems. Much routine model training is increasingly automated, so the value shifts to framing good questions, judging data quality and evaluating whether systems actually work. Human judgement stays central in designing experiments, setting evaluation standards and deciding what findings mean for customers.
A person here would gain hands-on experience with agentic workflows over multimodal inputs, video and 3D understanding, and data curation and evaluation at scale, all grounded in Encord's work with robotics and physical AI teams. Building this background could mean running personal or open source projects on video and multimodal datasets, trying LLM based agents on visual tasks, and publishing or sharing results that show independent contribution.
About Encord: A data platform that helps AI teams manage, label and clean the video, sensor and image data that trains robots, self-driving cars and other physical AI systems.
Research Engineer in London employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
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We think this is how you could land Research Engineer in London
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We think you need these skills to ace Research Engineer in 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 present of AI, 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 present of AI. 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 present of AI
✨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!
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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 present of AI!
✨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.
