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MLOps Engineer

72% Flex
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
United States

Offer summary

Qualifications:

Proven track in MLOps pipelines, Python programming and Terraform expertise.

Key responsabilities:

  • Develop and optimize MLOps platform
  • Implement CI/CD pipelines for efficiency
  • Collaborate with team on AI solutions
  • Ensure scalability and performance of ML workloads
  • Champion best coding practices and ML frameworks
ADLIB Recruitment | B Corp™ logo
ADLIB Recruitment | B Corp™ https://www.adlib-recruitment.co.uk
11 - 50 Employees
About ADLIB Recruitment | B Corp™
We are a Recruitment Agency with purpose. Proudly B Corp certified and employee-owned. Our mission and impact go far beyond recruitment. We immerse ourselves in the worlds we operate in. A trusted partner, supporting growth and success at pace since 2001.We believe business can be a force for good, and at the core of all great organisations, are great people. We connect ambitious organisations with equally ambitious talent, balancing profit and purpose.Technology | Agile Product | Data | Engineering | Science | Sustainability | eCommerce | Marketing | DesignOur highly respected and experienced team is regularly called on to share their unrivalled knowledge and bring the finest talent together with ambitious start-ups, thriving SMEs, agencies of all shapes and sizes, challenger brands and global organisations.🌐 www.adlib-recruitment.co.uk✉️ hello@adlib-recruitment.co.uk📞 0117 926 9530@adlibrecruit
See more ADLIB Recruitment | B Corp™ offers

Job description

Logo Jobgether

Your missions

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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Amazon SageMakerDataflowPipeline ManagementPythonInfrastructure ManagementTerraformAWS ECS

Soft Skills

  • Stakeholder Engagement
  • Interpersonal Skills
Are you interested?

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