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- Tasks: Lead Python development to enhance AI safety and reliability through innovative algorithms.
- Company: Join Safe Intelligence, a forward-thinking company dedicated to safe AI solutions.
- Benefits: Enjoy competitive pay, stock options, flexible holidays, and ongoing learning opportunities.
- Why this job: Make a real impact in AI while working with cutting-edge technology and a passionate team.
- Qualifications: Extensive Python experience and a passion for software quality are essential.
- Other info: Collaborative culture with a focus on diversity and personal growth.
The predicted salary is between 36000 - 60000 £ per year.
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. In this role, you will 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, whereas Machine Learning and Data Science skills are secondary.
Responsibilities:
- 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.
Requirements:
- Extensive professional experience as a Python-based developer.
- Experience with modern Python development techniques and design patterns.
- Experience with the development of highly parallelised applications, 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.
- Experience either contributing to or maintaining Python based open-source projects.
- Have a passion for code quality and things done right.
Additional beneficial experience includes:
- Familiarity with CUDA and optimising highly parallelised GPU-based computations.
- Familiarity with the end-to-end supervised training of neural networks and accompanying MLOps ecosystem.
- Familiarity with Django and related frameworks/tools.
- 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, researchers and other partners.
- 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 worldwide 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. 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.
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, speed of iteration, and rigor in what matters.
Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!
Senior Python Engineer in City of London employer: Safe Intelligence
Contact Detail:
Safe Intelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Safe Intelligence. A personal introduction can make all the difference when it comes to landing that interview.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to machine learning. This gives potential employers a taste of your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python knowledge and algorithms. Practice coding challenges on platforms like LeetCode or HackerRank to get into the right mindset before your interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Safe Intelligence team!
We think you need these skills to ace Senior Python Engineer in City of London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python programming experience in your application. We want to see your expertise shine through, so include specific projects or tools you've worked on that demonstrate your skills.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. Mention how your experience aligns with our mission at Safe Intelligence and the role of a Senior Python Engineer.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and focus on what makes you a great fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Safe Intelligence
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with modern development techniques, design patterns, and libraries like NumPy and pandas. They’ll likely ask you to solve coding problems or explain your thought process, so practice coding challenges to keep your skills sharp.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've optimised algorithms or improved code efficiency. Think about times when you’ve tackled complex problems in Python and be ready to walk them through your approach. This will demonstrate your ability to produce production-ready solutions, which is key for this role.
✨Familiarise Yourself with Their Tech Stack
Research Safe Intelligence’s tools and technologies, especially those related to machine learning and deployment. If you have experience with CI/CD pipelines or open-source contributions, be sure to highlight these. Showing that you understand their ecosystem will set you apart from other candidates.
✨Emphasise Collaboration and Communication
Since the role involves working closely with product and research teams, be prepared to discuss how you’ve collaborated in past projects. Share examples of how you’ve communicated technical concepts to non-technical audiences. This will show that you’re not just a coding whiz but also a team player who can bridge gaps between different stakeholders.
