Machine Learning Engineer

Location: London, UK
Salary: £60,000 + options

About the role

If you’re excited about empowering individuals, helping organisations to work better together, and creating a platform to power the future of work, this is the place to do it. Kalido ( exists to help create a world where people and organizations can maximize potential through a global community of valued connections and opportunities. We are looking for a talented and impact-oriented engineer that specialises in Machine Learning to join us. Kalido has to tackle a number of unique, challenging NLP problems unsolved by off-the-shelf models, which required us to delve into cutting-edge NLP research to find techniques that would help solve our problems.

In this role, you will be responsible for building the infrastructure around our NLP engine that allows Kalido to intelligently connect skilled people anywhere, anytime, for any purpose. We move fast (but thoughtfully) and you’ll also have a real opportunity to shape the company, and our collective ability to impact the world. You’ll also be able (and encouraged) to publish the results of any work you do that is not commercially sensitive.

As part of a startup, your responsibilities will vary, but on a day to day basis, you will:

  • Collaborate with data scientists, management, design, and other development teams to define, design, and build new functionality as required, using clean and efficient code
  • Build and refactor our ML architecture, tools and data ops pipeline as we evolve, with maintainability and efficient abstraction in mind
  • Continuously integrate your architecture with the rest of Kalido’s systems, ensuring seamless execution for everyone
  • Verify, test and deploy new builds
  • Troubleshoot, debug and enhance the existing codebase, driving towards a continuously more performant, more cost-effective, more maintainable, higher quality, and maximally responsive experience
  • Proactively alert others to technical debt, and manage plans to address it without unreasonably compromising delivery timelines
  • Ensure you are up to date with NLP research, common ML tools and algorithms, data privacy and ethics guidelines, and updates to common frameworks including Python, SQL, and other relevant languages
  • Propose, evaluate, select, and integrate new technologies when needed
  • Proactively suggest changes to balance cost, security, performance, and deployability

What we are looking for

We value inclusion, impact, transparency, generosity, and teamwork. You can read more about our values and what they mean to us here. We are looking for someone who shares our philosophy; is capable and excited about the role; strives for personal and professional excellence; and wants to make a meaningful difference through their work.

This opportunity is for you if you are:

  • A critical thinker, with a strong analytical mind and an ethical approach to development
  • A computer scientist, with solid understanding of mathematics and statistics including with previous research or commercial experience related to machine learning
  • Fluent in Python, SQL, and popular ML frameworks (Tensorflow, PyTorch, etc)
  • Comfortable with version-controlled, test-driven development
  • An owner, who is hands-on when driving projects and designing, implementing and deploying ML models
  • Familiar with containerization, continuous integration and delivery tools (e.g. Travis, Docker, Git, Circle CI, ECS, etc)
  • Up to date with the latest methods in NLP, deep neural networks, active learning, etc
  • Passionate about deep learning model optimization; and aware of infrastructure issues and potential bottlenecks for ML models
  • Knowledgeable about systems architecture choices and performance trade-offs, database design and extensibility
  • A builder who enjoys making an impact in a fast-paced and highly fluid environment
  • Preferably familiar with multiple other programming languages and software frameworks including Golang