Full-Time

Machine Learning Scientist

Data Automation

Confirmed live in the last 24 hours

Encord

Encord

51-200 employees

Data platform for computer vision workflows

Data & Analytics
AI & Machine Learning

Junior, Mid

London, UK

Hybrid position based in London.

Category
Applied Machine Learning
Computer Vision
AI & Machine Learning
Required Skills
RabbitMQ
React.js
Tensorflow
Pytorch
SQL
Pandas
FastAPI
OpenCV
Computer Vision
Celery
Requirements
  • Strong academic background in machine learning, with hands-on experience in computer vision (e.g., detection, segmentation, or pre-training).
  • Proficiency with frameworks like PyTorch, Tensorflow, JAX, Pandas, and OpenCV.
  • A quick learner with a structured, organized approach to problem-solving.
  • Excellent communication skills with an ability to uncover use cases and solve problems efficiently.
  • Ambitious and self-motivated, with a proven track record of top performance in academic or professional settings.
  • Experience with model deployment using tools like Ray, Celery, RabbitMQ.
  • Full-stack development skills (React, FastAPI, SQL).
  • Familiarity with automation tools (Cloud functions, CRON jobs, DataOps).
Responsibilities
  • Uncover, generalize, and solve data development challenges across multiple customers.
  • Follow the latest machine learning research to identify and apply new methods that improve customer outcomes.
  • Work on cutting-edge machine learning projects, starting with computer vision and expanding into multi-modal problems like document analysis, and combinations of audio, video, and text.
  • Ensure our customers have the best tools to succeed with their AI tasks by refining and optimizing their data pipelines.
  • Collaborate closely with cross-functional teams to iterate on customer feedback and deliver impactful features.

Encord specializes in providing a data platform focused on advanced computer vision technology. The platform offers tools that help businesses manage their data labeling and workflow processes efficiently. It allows AI teams to create high-quality 'Ground Truth' data significantly faster, which is crucial for training AI models. Encord combines technology with human expertise to ensure the quality of data management services, making it distinct from competitors. The platform supports various types of visual data, including images, videos, and medical imagery, and features automated labeling and customizable workflows that integrate human input. Encord's goal is to empower businesses to effectively manage and utilize their visual data to enhance AI model performance.

Company Stage

Series B

Total Funding

$45.8M

Headquarters

London, United Kingdom

Founded

2020

Growth & Insights
Headcount

6 month growth

18%

1 year growth

33%

2 year growth

76%
Simplify Jobs

Simplify's Take

What believers are saying

  • Encord raised $30 million in Series B funding to expand its AI platform.
  • The launch of Encord Index enhances data visualization and management capabilities.
  • Active learning tools position Encord to capitalize on improving AI model performance.

What critics are saying

  • Competition from Scale AI and others may impact Encord's market share.
  • Generative AI advancements could divert investor interest from Encord's predictive models.
  • AI ethics and misinformation concerns may lead to regulatory challenges for Encord.

What makes Encord unique

  • Encord offers a unified platform for vision and multimodal AI development.
  • The platform accelerates AI model production with data-centric testing and evaluation tools.
  • Encord provides customizable workflows and expert labeling services for scalable data management.

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Benefits

Social events

Flexible hours

Hybrid work

Fresh equipment & gear

Health insurance

Generous PTO

Visa sponsorship

Team lunches