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 Senior Python Engineer, and we’re hoping it’s you! In this role, you'll help lead and implement the improvement of algorithms, optimising execution, usability, and package architecture of our ML verification solutions. There will be plenty of opportunities to get involved in machine learning model training, evaluation, and deployment, as well as all the associated ecosystems of tools.

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 IntelligenceSenior Python Engineer, you will:

• Play a leadership and mentoring role in Python package and code development including strong modelling of best practice and efficient procedures.
• 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.

Qualifications

The technical requirements for the role are:

• Extensive professional experience as a Python-based developer.
• Experience with modern Python development techniques and design patterns.
• Experience developing highly parallelised applications using the multiprocessing library, including memory management.
• 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.
• 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.
• Advanced proficiency with code maintenance tools and best practice, including Git and configuring workflows.

Additional beneficial experience includes:

• Experience using webhooks for real-time data delivery for use in communication between toolkits and 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

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

• Passionate about delivering software to realise safe AI solutions in line with client needs.
• 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.

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 strongly believe 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.