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- Tasks: Design and scale innovative AI systems while tackling real-world challenges.
- Company: Join Cyberhaven, a leader in AI-driven data security solutions.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Why this job: Shape the future of data security with cutting-edge technology and a talented team.
- Qualifications: 6+ years backend experience, proficiency in Python/Go, and AI/ML expertise.
- Other info: Diverse and inclusive workplace with a focus on innovation.
The predicted salary is between 60000 - 84000 £ per year.
Location: United Kingdom
Employment Type: Full time
Location Type: Remote
Department: Development
About the role:
We’re looking for an experienced Backend engineer to help drive and evolve our product, focusing on high-impact innovation projects as part of our Linea AI team. You will be working on cutting-edge technology and ideas and bringing AI prototypes to production. You will work closely with Labs team to operationalize and scale AI prototypes across many customers.
What you’ll do:
- Design and scale distributed systems: Architect, build, and optimize highly scalable and fault-tolerant systems that process large graph datasets at enterprise scale, handling billions of events in real time from tens of thousands of endpoints with sub-second latency.
- Solve complex scaling challenges: Tackle real-world performance and reliability problems through deep analysis, profiling, and systematic troubleshooting in high-throughput distributed environments.
- Build with modern infrastructure: Develop and evolve a microservices-based architecture using technologies such as Go, Kubernetes, Docker, and Redis, in a continuously improving production stack.
- Engineer secure-by-design software: Write hardened, security-first code capable of safely processing untrusted data, resisting real-world attack vectors, and operating reliably across large-scale, internet-facing systems.
- Productionize AI systems: Partner with research and product teams to operationalize AI prototypes, turning experimental models into robust, scalable, and production-ready services.
Who you are:
- Proven Backend Expertise: 6+ years of experience building and scaling backend systems, with strong proficiency in Python and/or Go, powering production applications used at scale.
- Full-Stack Impact: Demonstrated track record of designing and delivering full-stack applications that are actively used in real-world, high-traffic environments.
- Generative AI & ML at Scale: Hands-on production experience with large-scale foundational models and transformer-based architectures, including deploying, monitoring, and iterating on GenAI systems.
- Agent & Workflow Systems: At least 1 year of experience building AI agents and orchestration workflows using frameworks such as LangChain, LangGraph, Genkit, or similar technologies.
- ML Systems & Data Pipelines: Experience delivering machine learning systems at scale, including robust model evaluation, continuous quality improvement pipelines, and data processing using columnar databases and large messaging systems (e.g., Pub/Sub, Kafka).
- Ownership & Innovation Mindset: Comfortable working in remote, fast-paced environments, with an entrepreneurial mindset-driven to solve complex, real-world problems through innovation and breakthrough technology.
Good to have:
- Security & Product Domain Experience: Background building products in data security, DLP, or application security environments.
- Cloud Data & AI Workflows: Experience with GCS and BigQuery, and familiarity with LangGraph or similar frameworks for AI agent orchestration.
- LLM Evaluation & Quality Systems: Hands-on experience designing or operating LLM evaluation pipelines, including automated testing, monitoring, and continuous quality improvement.
Joining Cyberhaven is a chance to revolutionize data security. Traditional tools fall short, but we’ve reimagined protection with AI-enabled data lineage that analyzes billions of workflows to understand data, detect risk, and stop threats. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, alongside experts driven to help customers protect their most valuable information.
Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Senior AI/ML Engineer in London employer: Crane Venture Partners
Contact Detail:
Crane Venture Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills and boost your confidence before the big day.
✨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, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Senior AI/ML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior AI/ML Engineer role. Highlight your backend expertise, especially in Python or Go, and any relevant projects you've worked on that showcase your ability to handle large-scale systems.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and ML. Share specific examples of how you've tackled complex scaling challenges or operationalised AI prototypes in the past. This is your chance to show your personality and enthusiasm!
Showcase Your Projects: If you've worked on any innovative projects, especially those involving generative AI or machine learning systems, make sure to include them. We love seeing real-world applications of your skills, so don't hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Crane Venture Partners
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Go, Kubernetes, and Docker. Brush up on your knowledge of distributed systems and microservices architecture, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in scaling backend systems or deploying AI models. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills and innovative mindset.
✨Understand the Company’s Mission
Familiarise yourself with Cyberhaven's approach to data security and how they leverage AI. Being able to articulate how your experience aligns with their mission will demonstrate your genuine interest in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and the company's future direction in AI and data security. This shows that you’re not just interested in the job, but also in contributing to the company’s growth and innovation.
