Are you a highly skilled Leading Trading Firm with a passion for cutting-edge technology? We are partnering with a Leading FinTech Firm that is seeking a talented MLOps Engineer to join their expanding Machine Learning Infrastructure Core team. This is a fantastic opportunity to shape the future of ML infrastructure in a high-impact environment, supporting the deployment of advanced ML trading models.
Roles & Responsibilities
- As part of the ML Infrastructure team, you will:
- Design, build, and optimize scalable ML pipelines for deploying machine learning models used in trading strategies.
- Collaborate closely with data scientists, quants, and software engineers to enhance and automate ML workflows.
- Ensure reliability, scalability, and security of ML systems across development, testing, and production environments.
- Lead initiatives in CI/CD, monitoring, and orchestration, ensuring seamless integration of new ML models.
- Stay ahead of industry trends and implement state-of-the-art ML Ops tools and frameworks to improve model delivery and deployment processes.
What’s in it for you?
- Unmatched career growth: Develop your expertise in a forward-thinking, technology-driven environment with rapid career progression.
- Exposure to advanced technology: Gain hands-on experience with some of the most cutting-edge tools and frameworks in the ML and FinTech space.
- Comprehensive benefits: Enjoy an exceptional benefits package including industry-leading bonuses, healthcare, and reimbursement programs.
- Flexible working environment: Balance work and life with hybrid working options, prioritizing your well-being and professional satisfaction.
- Innovation at scale: Be part of a team that pushes the boundaries of ML technology in one of the most competitive sectors globally.
Key Requirements
- Educational background: Degree in Computer Science, Engineering, Mathematics, or other STEM fields.
- Technical expertise: 5+ years of experience in ML Ops, DevOps, or related roles, with strong proficiency in Python and modern software development practices.
- Hands-on skills: Proven experience with version control systems (Git), CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, or Azure).
- Strong communicator: Excellent written and verbal communication skills, with the ability to collaborate across teams and explain complex concepts clearly.
- Problem solver: Ability to work in fast-paced, high-pressure environments, with a proactive approach to tackling new challenges.
- Passion for learning: Demonstrated enthusiasm for staying updated with the latest developments in ML Ops and adopting new technologies quickly.
If you are passionate about the intersection of DevOps and Machine Learning, and want to work at the forefront of the finance industry’s technological innovation, apply now and take the next step in your career!
Job Title: MLOps Engineer – Leading Trading Firm (£160,000 + Hybrid)
Company: Leading Trading Firm
Salary: Up to £160,000 + Performance-Based Bonuses
Location: London / Hybrid (Flexible working model)