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- Tasks: Design and develop a scalable data platform for cutting-edge Machine Learning models.
- Company: Join a stealth-mode AI lab with a team of top-tier engineers.
- Benefits: Competitive salary, equity, relocation assistance, and 28 days holiday.
- Other info: Work on challenging problems in a dynamic startup environment.
- Why this job: Be a Founding Engineer and make an impact from day one!
- Qualifications: Experience in back-end development and proficiency in Python required.
The predicted salary is between 48000 - 84000 £ per year.
Graduate Software Engineer – ML Data PlatformGraduate Software Engineer – ML Data PlatformEmployment Type: Full-time and PermanentRemuneration: £60–70k Base Salary + Discretionary Bonus + EquityWe are a stealth-mode AI laboratory researching and developing Machine Learning models.The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies.In this role, you will:Design and develop a highly-scalable data platform capable of ingesting and processing hundreds of terabytes of training data.Design and develop methodologies and metrics to better understand the underlying quality, structure and distribution of training data.Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models.Work closely with the founding team and contribute towards best practices, standards, and culture of the company.What we are looking for:Back-end development: Experience in back-end engineering developing data platforms or large-scale extract-transform-load (ETL) pipelines.Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services.Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform).Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems.Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex problems into actionable tasks.Collaboration and communication: Excellent interpersonal and communication skills with a desire to learn.We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about data and enjoy solving complex challenges, we would love to hear from you.Nice to have:Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally.Open-source: Contributions to and experience in open-source projects.Front-end: Experience with TypeScript and front-end libraries such as React or Next.js.Startup experience: Experience with a startup work environment and wider ecosystem.Work in an environment conducting cutting-edge research in AI.An official role title of \”Founding Engineer\” – make an impact on day one.Competitive salary, equity and benefits package.Financial assistance for relocation to London.28 days + public holidays allowance.Opportunities for professional growth and progression with your career.Work on challenging engineering problems that have a real impact on the industry.Work with high-profile customers and technology partners.Seniority levelSeniority levelEntry levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at Zettafleet by 2xGet notified about new Graduate Software Engineer jobs in London Area, United Kingdom.London, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 2 days agoLondon, England, United Kingdom 5 days agoLondon, England, United Kingdom 5 days agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 month agoGraduate Software Developer – Boutique Systematic Mayfair Hedge Fund – Excellent Compensation + BenefitsGraduate Software Engineer 2025 – RegTechLondon, England, United Kingdom 3 weeks agoNewsroom Front-End Developer (12 Month FTC/Secondment)Isleworth, England, United Kingdom 6 days agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 5 hours agoLondon, England, United Kingdom 1 month agoCity Of London, England, United Kingdom £45,000.00-£50,000.00 3 weeks agoLondon, England, United Kingdom 4 days agoLondon, England, United Kingdom 3 months agoLondon, England, United Kingdom 8 months agoBasildon, England, United Kingdom 1 day agoLondon, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 5 months agoLondon, England, United Kingdom 1 week agoSouth Weald, England, United Kingdom 3 days agoLondon, England, United Kingdom 1 week agoWe\’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.#J-18808-Ljbffr
Graduate Software Engineer – ML Data Platform employer: Zettafleet
Contact Detail:
Zettafleet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Software Engineer – ML Data Platform
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with alumni from your university. You never know who might have a lead on that perfect Graduate Software Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to back-end development or machine learning. This will give you an edge and demonstrate your passion for the field.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills and get comfortable with algorithms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to tackle complex challenges in AI.
We think you need these skills to ace Graduate Software Engineer – ML Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your back-end development experience and any relevant projects you've worked on. We want to see how your skills align with our needs, so don’t be shy about showcasing your Python prowess and cloud-native tech experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data and problem-solving. Let us know why you’re excited about the role and how you can contribute to our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any open-source projects or have personal projects that demonstrate your skills, include them! We love seeing practical applications of your knowledge, especially in machine learning or data platforms.
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. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Zettafleet
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, cloud platforms like AWS or GCP, and containerisation tools like Docker. Brush up on your back-end development skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Problem-Solving Skills
Prepare to demonstrate your analytical problem-solving abilities. Think of specific examples where you’ve tackled complex challenges, particularly in data processing or algorithm optimisation. Be ready to break down these problems into actionable steps during the interview.
✨Understand Machine Learning Basics
Even if you don’t have extensive experience in machine learning, having a solid understanding of the basics can set you apart. Familiarise yourself with concepts like generative models and deep learning, and be prepared to discuss how they relate to the role.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your thoughts clearly. Prepare to discuss your previous teamwork experiences and how you’ve contributed to a positive team culture. Good communication can make a huge difference in how you’re perceived by the interviewers.