At a Glance
- Tasks: Design and build high-performance Python systems for AI data pipelines and evaluation workflows.
- Company: Join Alignerr, a leader in AI infrastructure with a collaborative culture.
- Benefits: Enjoy remote work flexibility, competitive pay, and the chance to shape next-gen AI models.
- Other info: Freelance autonomy with opportunities for ongoing engagement as projects expand.
- Why this job: Make a real impact on cutting-edge AI projects while working with top engineers.
- Qualifications: 5+ years of Python experience and strong systems programming skills required.
The predicted salary is between 20 - 40 £ per hour.
Principal Python Engineer — ML Infrastructure (AI Training)
What if your Python expertise could directly shape the infrastructure that powers the most advanced AI systems in the world?
We're looking for a Principal Python Engineer based in or around London to design and build the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on — real production work with real impact at scale.
This is a fully remote, flexible contract role for a seasoned engineer who thrives in high-performance, distributed environments and wants to work on problems that matter.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
What You'll Do
- Design, build, and optimize high-performance Python systems that power AI data pipelines and evaluation workflows
- Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
- Improve reliability, performance, and safety across production Python codebases
- Identify bottlenecks and edge cases in data and system behavior — then implement scalable, elegant fixes
- Collaborate with data, research, and engineering teams to support model training and evaluation workflows
- Drive architectural and system design decisions through synchronous technical reviews
Who You Are
- Native or fluent English speaker with strong written and verbal communication skills
- Senior full-stack developer with a strong systems programming background
- 5+ years of professional experience writing production Python for large-scale infrastructure or platform engineering
- Deep expertise in designing distributed computing systems and managing concurrency with advanced asynchronous patterns
- Intimately familiar with Python internals — GIL limitations, memory profiling, and performance optimization for compute-heavy workloads
- Able to drive technical strategy and architectural decisions clearly and confidently
- Available to commit 20–40 hours per week
- Nice to Have
- Prior experience with data annotation, data quality, or model evaluation systems
- Familiarity with AI/ML workflows, model training pipelines, or benchmarking infrastructure
- Experience with distributed systems architecture or internal developer tooling
- Why Join Us
- Work directly with leading AI research labs on production systems that shape next-generation models
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the substance of high-impact, technically demanding work
- Collaborate with top engineers and researchers on problems at the frontier of AI infrastructure
- Potential for ongoing engagement and expanded scope as projects grow
- #J-18808-Ljbffr
Principal Python Engineer — ML Infrastructure employer: Alignerr
Alignerr is an exceptional employer that champions innovation in healthcare through AI, offering a dynamic remote work environment that fosters collaboration and creativity. Employees benefit from a culture of continuous learning and professional development, with ample opportunities to grow within the organisation while contributing to groundbreaking projects that have a real impact on clinical research. Join us to be part of a forward-thinking team dedicated to transforming healthcare for the better.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Python Engineer — ML Infrastructure
✨Make Your Portfolio Shine
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We think you need these skills to ace Principal Python Engineer — ML Infrastructure
Some tips for your application 🫡
Showcase Your GitHub Projects:When applying for a freelance software engineering gig at Alignerr, make sure to include your GitHub link in your application. Highlighting your code repositories, contributions to Open Source, and any personal projects can really set you apart and give us insight into your skills and coding style.
Tailor Your CV with Relevant Skills:In software development, the specifics matter! Make sure your CV lists the programming languages and technologies you excel at. Focus on the ones that align with the projects Alignerr is working on. Listing your tech stack clearly will help us understand how you fit into our team.
Include a Portfolio of Your Work:A solid portfolio is a must when applying for freelance roles. Include links to any apps, websites, or software you've developed. Highlight any projects that reflect a strong user experience, efficiency, or innovative solutions—this is your chance to shine and show us what you can bring to the table!
Mention Your Availability and Rates:Since this is a freelance role, we want to know when you’re available and what your rates are like! Be upfront about your typical work hours and project timelines. This transparency will help us see if we can sync up for future projects at Alignerr.
How to prepare for a job interview at Alignerr
✨Showcase Your Code Wizardry
Since you're going for a freelance role in software engineering, have a solid portfolio ready to flaunt your best work. Include projects that highlight your coding skills, frameworks you excel in, and any problem-solving feats you've pulled off. This is your chance to shine, so choose pieces that reflect your unique style and expertise!
✨Prepare for Technical Challenges
Freelance gigs often involve tech assessments or coding challenges, so be ready to tackle some hands-on problems. Brush up on common algorithms, data structures, and any languages/frameworks relevant to the role at Alignerr. Being comfortable with platforms like HackerRank or LeetCode can give you an edge and showcase your skills under pressure!
✨Be Clear About Your Rates and Flexibility
As a freelancer, be prepared to discuss your rates upfront. It's crucial to communicate your pricing structure clearly and whether you're open to negotiation. Do your homework on industry standards to ensure you pitch a fair and competitive rate that reflects your skills and experience!
✨Understand Their Tech Stack
Before the interview, get familiar with the tools and technologies used at Alignerr. Whether it's a particular framework or a specific coding methodology, being knowledgeable about their tech stack not only shows your interest but also helps you present how you could fit seamlessly into their existing projects. Demonstrating you’ve done your homework can set you apart from other candidates!
