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- Tasks: Join us as a Senior Backend Engineer to optimise ML model deployments and enhance system performance.
- Company: Optimove is a leading marketing tech company, partnering with top brands like Sephora and Staples.
- Benefits: Enjoy a vibrant startup culture, career growth opportunities, and the chance to work with cutting-edge tech.
- Why this job: Be part of a dynamic team that values collaboration and innovation in machine learning solutions.
- Qualifications: 4+ years in backend engineering with strong skills in Rust, Go, or C/C++ required.
- Other info: Work in a supportive environment where 2 out of 3 managers are promoted from within.
The predicted salary is between 43200 - 72000 £ per year.
Optimove is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world\’s most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we\’re on the cusp of our next growth spurt. It\’s the perfect time to join our team of ~500 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed.
Based in Dundee, Scotland, our R&D operation is a dynamic environment, where every developer can impact the flow of technology – from introducing the smallest library to making big infrastructure changes. We welcome open-minded developers who like to share knowledge and help each other to push Optimove forward using the cutting edge of today\’s tech.
The new MLOps team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance.
Key responsibilities include:
- Managing and optimising existing ML model deployments to ensure reliability and efficiency.
- Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management.
- Collaborating closely with data scientists to understand and implement model requirements.
- Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems.
- Implementing robust CI/CD pipelines, monitoring systems, and infrastructure automation.
- Upholding best practices in security, cost management, and infrastructure design for cloud environments.
This team will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence and we\’re looking for a Senior Software Engineer to be part of it!
Responsibilities:
- Architect and develop robust pipelines for ML model training, testing, and deployment.
- Implement and maintain CI/CD workflows for ML projects.
- Monitor production ML systems for performance, errors, and drift.
- Automate infrastructure provisioning and deployment using IaC tools.
- Collaborate with team leader to define technical strategies.
Requirements:
- 4+ years of experience in backend engineering, systems programming, or high-performance software development roles.
- Strong proficiency in low-level programming languages: Rust, Go, or C/C++ (at least one required, multiple preferred).
- Experience building high-performance, scalable backend systems and APIs.
- Knowledge of systems programming concepts: memory management, concurrency, performance optimization.
- Familiarity with ML system architecture and computational requirements (model serving, training infrastructure, data processing pipelines).
- Experience with cloud platforms (AWS preferred) and distributed systems.
- Proficiency with containerization (Docker) and orchestration tools (Kubernetes).
- Strong experience with version control systems (Git) and CI/CD pipelines.
- Understanding of database systems and data pipeline architectures.
- Ability to troubleshoot and optimize complex production systems under load.
- Experience with monitoring, observability, and performance profiling tools.
- Strong communication and collaboration skills for working with ML researchers and data scientists.
Nice to have:
- Python experience for interfacing with ML frameworks
- Experience with real-time systems or low-latency applications
- Knowledge of GPU computing and CUDA
- Background in numerical computing or scientific software
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Senior Backend Engineer (MLOps) employer: Optimove
Contact Detail:
Optimove Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Engineer (MLOps)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Rust, Go, or C/C++. Having hands-on experience or projects that showcase your skills in these languages will make you stand out.
✨Tip Number 2
Engage with the MLOps community online. Join forums, attend webinars, or participate in discussions related to machine learning deployment and CI/CD practices. This not only enhances your knowledge but also shows your passion for the field.
✨Tip Number 3
Network with current employees at Optimove or similar companies. Use platforms like LinkedIn to connect and ask about their experiences. This can provide valuable insights into the company culture and expectations.
✨Tip Number 4
Prepare to discuss real-world scenarios where you've optimised backend systems or implemented CI/CD pipelines. Be ready to share specific examples that demonstrate your problem-solving skills and technical expertise during interviews.
We think you need these skills to ace Senior Backend Engineer (MLOps)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in backend engineering and MLOps. Emphasise your proficiency in low-level programming languages like Rust, Go, or C/C++, and showcase any experience with cloud platforms and CI/CD pipelines.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences to the specific responsibilities of the Senior Backend Engineer role. Mention your familiarity with ML system architecture and your ability to collaborate with data scientists and R&D teams.
Showcase Relevant Projects: If you have worked on projects involving machine learning model deployment or high-performance backend systems, include these in your application. Detail your role and the impact of your contributions to demonstrate your capabilities.
Highlight Soft Skills: In addition to technical skills, emphasise your strong communication and collaboration abilities. This is crucial for working effectively with ML researchers and data scientists, as mentioned in the job description.
How to prepare for a job interview at Optimove
✨Showcase Your Technical Skills
Be prepared to discuss your experience with low-level programming languages like Rust, Go, or C/C++. Highlight specific projects where you've built high-performance backend systems and APIs, as this will demonstrate your technical proficiency.
✨Understand MLOps Fundamentals
Familiarise yourself with the principles of MLOps, including model deployment, monitoring, and lifecycle management. Be ready to discuss how you would implement CI/CD workflows for ML projects and ensure the reliability of ML systems in production.
✨Collaborate Effectively
Since the role involves working closely with data scientists and R&D teams, prepare examples of how you've successfully collaborated in the past. Emphasise your communication skills and your ability to align technical strategies with team goals.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your troubleshooting skills, especially under load. Prepare to discuss specific challenges you've faced in production systems and how you optimised performance or resolved issues.
