Python AWS Engineer - Remote

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! You'll help lead and implement the improvement of algorithms, optimising execution, usability, and package architecture of our ML Verification packages.

Note that this is a Python code focused role, rather than a Data Science role, so Python programming skills are the priority, where as Machine Learning and Data Science skills are secondary. There will be plenty of opportunity to get involved in machine learning model training, evaluation and deployment, as well as all the associated ecosystems of tools, however the key mission is work magic on our python based tools and packages.

As a Safe Intelligence Senior 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.

Contribute to Machine Learning related Open Source initiatives.

Extensive professional experience as a Python-based developer.

Experience with modern Python development techniques and design patterns.

Experience with widely used tools in data science and machine learning. 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.

Experience either contributing to or maintaining Python based open-source projects.

Have a passion for code quality and things done right.

Familiarity with the end-to-end supervised training of neural networks and accompanying MLOps ecosystem are a plus

Familiarity with Django and related frameworks / tools

Familiarity with other programming languages and frameworks

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

Has a strong understanding of modern software engineering processes.

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.

Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us.

Compensation & Benefits

Safe Intelligence provides competitive compensation based on role and candidate experience. Mentoring, learning, and development allowance

Regular team social and work events

Flexible and generous holidays. Equality and Inclusion

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 rigor 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!