Lead the development and optimisation of cutting-edge MLOps platforms using AWS.
Collaborate with a dynamic team to drive AI innovation and excellence for an industry-first.
Flexible working environment, great compensation, excellent benefits and growth opportunities.
Join an exciting team at a leading investment firm, where you will play a pivotal role in deploying and managing cutting-edge machine learning models. Work with advanced technologies in a collaborative environment and contribute to significant AI-driven solutions.
What you’ll be doing
As a Senior MLOps Engineer, you will be at the forefront of deploying cutting-edge machine learning models and providing comprehensive support to ensure seamless integration into production environments. Your responsibilities will include:
- Developing and optimising the MLOps platform to streamline the ML lifecycle.
- Implementing and managing CI/CD pipelines for efficient development, testing and deployment processes.
- Collaborating with data scientists and engineers to drive innovation and excellence in AI solutions.
- Ensuring scalability, reliability, and performance of machine learning workloads through robust infrastructure management.
- Championing best practices for writing production-quality code and implementing robust ML frameworks.
What experience you’ll need to apply
- Proven track record in designing and implementing MLOps pipelines.
- Experience with MLOps frameworks, particularly SageMaker and MLFlow.
- Strong programming skills in Python, with production environment experience.
- Expertise in infrastructure management using Terraform/similar.
- Strong interpersonal skills to engage and collaborate with multiple stakeholders.
What you’ll get in return for your experience
- Base salary of up to £80,000 plus bonus (15-25%).
- Flexible working options, including hybrid working or remote first contracts (1 day every 6-8 weeks in the office)
- 25 days holiday plus bank holidays and additional Christmas closure time.
- Enhanced parental leave and pension scheme with up to 11% employer contribution.
- Private medical insurance, healthcare cash plans, and income protection.
- Opportunities for continuous learning and development, including mentoring and growth programs.
- Dynamic and inclusive work environment that values diversity and innovation.
What’s next?
If you’re ready to take on a pivotal role in an innovative environment for an industry first platform, please apply now with and up-to-date CV.