MLOps Engineer

Drive AI innovation and scalability at a leading investment firm.

  • Location Bristol or Remote

  • Type Permanent

  • Salary Up to £80,000


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.

Apply for this role

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