Python Engineer

4 weeks ago

London, Greater London, United Kingdom Safe Intelligence Full time

Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for a Python Engineer , and we're hoping it's you In this role, you'll be involved deeply in improving the algorithms, optimising execution, usability and package architecture of our ML verification packages. 

This role is primarily focused on Python programming rather than Data Science. Strong Python skills are the top priority, while Machine Learning and Data Science experience are secondary. There will be opportunities to work on machine learning model training, evaluation, and deployment, as well as explore the surrounding ecosystem of tools. However, the core mission is to enhance and refine our Python-based tools and packages.

We're looking forward to having you on board

Responsibilities : The position requires a passion for science and engineering, paired with an ability to produce production ready solutions while working closely with both product and research teams. 

As a Safe Intelligence Python Engineer, you will:

  • Productise a set of Python packages and tools for use in machine learning applications that build on powerful algorithms developed by the research team.
  • Contribute towards making verification and robust-learning algorithms scalable and more efficient, and developing a clean, well-organised code-base that supports our goal of making these methods intuitive and easy to use by the wider community. 
  • Work closely with the platform team to interface and containerise the packages and toolkits for scalable deployment.
  • Stay updated with the latest technologies and trends in Python development and actively contribute to the team's technical knowledge base.
  • Contribute to Machine Learning related Open Source initiatives.

Requirements : The technical requirements for the role are:

  • Professional experience as a Python-based developer
  • Experience with modern Python development techniques and design patterns.
  • Experience with the development of highly parallelised applications using the multiprocessing library, including memory management.
  • Proficiency in testing approaches and frameworks like pytest as well as automation tools like Github Actions or Travis CI for maintaining code quality and continuous integration/continuous deployment (CI/CD) pipelines.
  • Proficiency with code maintenance tools and best practice including Git.

Additional beneficial experience includes:

  • Experience with widely used tools in data science and machine learning. Developers should be somewhat familiar with libraries like NumPy, pandas, scikit-learn, and PyTorch.
  • Experience using webhooks for real-time data delivery for use in communication between toolkits and the platform.
  • Familiarity with CUDA and optimising highly parallelised GPU-based computations are a plus.
  • Familiarity with the end-to-end supervised training of neural networks and accompanying MLOps ecosystem are a plus.
  • Familiarity with other programming languages and frameworks.
  • Experience either contributing to or maintaining Python based open-source projects.
  • Have a passion for code quality and things done right.
  • Experience with academic research, particularly in the field of machine learning.

At a personal level we're also looking for someone who is:

  • Passionate about delivering software to realise safe AI solutions.
  • Deeply technical and constantly in a state of learning.
  • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives.
  • Fearless in getting "hands-on" with technology and execution.
  • Has a strong understanding of modern software engineering processes.
  • Comfortable with ambiguity with a drive for clarity.
  • Collaborative with, and respectful of others on the team.
  • Honest, straightforward and caring about each other's well being.

Why Safe Intelligence is for you : 

We strongly believe AI can bring great benefits to individuals and society, but these will only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. 

By joining us, you'll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI.

Grow with us

If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. 

Compensation & Benefits

Safe Intelligence provides competitive compensation based on role and candidate experience. We are committed to discussing career progress, and the overall package will always be entirely transparent.

In addition, company benefits for all roles include:

  • Stock option benefits 
  • Mentoring, learning, and development allowance 
  • Regular team social and work events 
  • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives.  

Equality and Inclusion

We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. 

Location & Office Culture

Safe Intelligence is based in London, UK, and we're focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience.

Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). 

Come and join us to add your skills and passion to the future of Safe Artificial Intelligence

How to apply

Find us on LinkedIn and submit for this role. If you have any questions, please feel free to email  

Not ticking every box on our list? If you don't meet all the criteria but feel you have something special to bring to the table, we encourage you to apply anyway.

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