At a Glance
- Tasks: Design and maintain cutting-edge machine learning systems that tackle real-world challenges.
- Company: Innovative AI company focused on countering disinformation with advanced technology.
- Benefits: Competitive salary, equity, flexible culture, and 25 days annual leave plus your birthday off.
- Other info: Opportunity to work in a dynamic startup environment with excellent growth potential.
- Why this job: Join a remote-first team and make a significant impact from day one.
- Qualifications: Proven experience in machine learning systems and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
About The Company
Our client is an innovative AI company building technology to detect and counter disinformation attacks in real time. Combining machine learning, large-scale data systems, and deep expertise in security and intelligence, they help organizations identify and respond to emerging threats at scale. Following strong market traction and recent funding, they are expanding their engineering team and looking for a Senior Machine Learning Engineer to help build and operate production-grade ML systems that directly impact customers.
Location: Europe (Remote)
Work Model: Full-Time | Remote-First
Seniority: Senior Level
Compensation: Competitive Salary + Equity
Work Authorization: Valid Work-Permit for Europe
What You'll Do
- Design, build, deploy, and maintain machine learning systems in production environments
- Develop scalable ML pipelines for real-time and large-scale data processing
- Work across the full machine learning lifecycle, from data ingestion and model development to deployment, monitoring, and continuous improvement
- Build reliable systems that balance accuracy, latency, scalability, and cost
- Collaborate with engineers, machine learning specialists, and domain experts to shape product direction
- Contribute to ML infrastructure, automation, and platform reliability
- Improve monitoring, observability, and performance of deployed models
Requirements
- Proven experience building and operating machine learning systems in production
- Strong Python development skills
- Experience with SQL and NoSQL databases
- Hands-on experience with containerization technologies such as Docker
- Experience with CI/CD pipelines and modern software delivery practices
- Familiarity with streaming and batch data processing frameworks
- Strong software engineering fundamentals and systems thinking
- Ability to take ownership from concept through deployment and maintenance
Preferred Qualifications
- Experience with NLP, trust & safety, content analysis, or disinformation detection
- Experience working in high-growth startups or early-stage technology companies
- Familiarity with deep learning frameworks and modern ML tooling
- Background in cybersecurity, intelligence, or large-scale data systems
- Experience building high-throughput, real-time ML platforms
What We Offer
- Remote-first working environment
- Competitive salary package
- Equity participation
- 25 days annual leave plus your birthday off
- Private pension contributions
- Flexible and outcome-focused culture
- Opportunity to join an early-stage company and make a significant impact from day one
If you're passionate about production machine learning, scalable data systems, and solving complex real-world challenges, we'd love to hear from you...
Senior Machine Learning Engineer | Europe, Remote in London employer: Cross Border Talents
Our client is an exceptional employer, offering a remote-first work environment that fosters flexibility and innovation. With a competitive salary package, equity participation, and generous leave policies, employees are empowered to make a significant impact from day one while collaborating with a talented team in the cutting-edge field of AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer | Europe, Remote in London
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We think you need these skills to ace Senior Machine Learning Engineer | Europe, Remote in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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