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Careers At Evolution AI

AI Operations Manager

Job Description

We’re looking for an aspirational operator who is looking to grow alongside our company. This role is fundamental to our commercial and technical operations as we translate customer needs into product development. You will be responsible for managing a growing team of AI operators and ensuring consistent high quality results for customers, who are large enterprises and financial institutions with complex technical requirements. There is expectation for this person to become a leader within our business and drive the future of Evolution AI.


Your objective will be to deliver outstanding results to clients, while ensuring a smooth onboarding process from the first engagement into production. You'll be growing the commercial operations of a leading startup at the forefront of commercial AI.

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  • Run proof of concept projects and production artificial intelligence environments for clients
  • Manage a team of AI operators to deliver accurate and timely data
  • Manage relationships with clients and address issues and questions.
  • Be the voice of the customer and guide our product development process

A successful candidate will:

  • Have experience managing complex projects (at least two years)
  • Be able to meet deadlines and get the job done
  • Be friendly and enthusiastic
  • Be a problem solver who thrives in fast-paced, intellectually challenging environment
  • Have excellent written and presentation skills

Competitive salary (£40-50,000) and a generous share option package

Opportunity to get into the cutting edge of commercial AI and Machine Learning

Location: London and environs (currently remote - and we are flexible)

Machine Learning Research Engineer

Job Description

Evolution AI are looking for a machine learning engineer to help build our AI-powered document extraction platform. You’ll be putting state of the art deep learning technology into production use, with an emphasis on scientific rigour and reproducibility. You’ll be working alongside software engineers and machine learning researchers and will have a strong background in machine learning and statistics. Option to work remotely or from our central London office. Must be eligible to work in the UK.

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Designing, developing and rigorous testing of machine learning models.
Writing reusable and well-structured machine learning code in our production system.

Designing and implementing the architecture to train and serve models in real-time.
Working with commercial team and product team to define requirements and shape the future of our product.


Proficient at writing production-quality Python (3.x) code.
A research mindset.
Experience with typical Python data science stack e.g. Pandas/Numpy/Scikit-learn.
Experience with a deep learning framework such as Tensorflow and/or PyTorch.
Proficiency with SQL.
Familiarity with Unix.

Eligible to work in the UK.


Experience with modern computer vision or NLP methods.
Research experience e.g. PhD in scientific subject.


Generous option package.
Opportunity to attend conferences.
Remote working available.

Full Stack Engineer

Job Description

Evolution AI are looking for a senior full stack engineer to help build our AI-powered products. You’ll be writing production code in our document-extraction platform, with an emphasis on reproducibility and durability. You’ll be working alongside machine learning specialists and will likely have an interest in machine learning or statistics. Option to work remotely or from our Central London office.

Apply now
  • Writing reusable and well-structured code
  • Designing and implementing architecture of the system
  • Working with commercial team to define requirements
  • Mentoring junior team members

  • Proficiency at Python (3.x) programming and familiarity with Unix
  • Proficiency with SQL
  • Proficiency in front-end technologies, such as JavaScript, HTML5, and CSS3, Vue.js
  • Experience with RESTful web service development
  • An interest in scalable data processing e.g. Apache Spark
  • Machine Learning / Deep Learning experience
  • Generous option package
  • Opportunity to attend conferences