MLOps Engineer

Methods
Worcester
1 week ago
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Methods Worcester, England, United Kingdom

Methods Analytics is looking for a MLOps Engineer preferably has worked in the defence sector.

Location:
4-5 days/week onsite at one of the following locations: Worcester/Great Malvern/Gloucester/Poole or London

Salary:
£55,000 to £60,000 + bonus + benefits

Who we are:
Methods Analytics exists to improve society by helping people make better decisions with data. We use a collaborative, creative and user-centric approach to solve difficult problems. Ethics, privacy and quality are at the heart of our work.

What You'll Be Doing as an MLOps Engineer:

  • Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, architects, and other stakeholders to align MLOps solutions with business objectives.
  • Automate Workflows and Ensure Reproducibility: Write scripts to automate ML workflows and ensure reproducibility of machine learning experiments.
  • Set Up ML Environments and Deployment Tools: Configure and maintain ML deployment environments using platforms and tools such as Kubernetes, Docker, and cloud platforms.
  • Develop CI/CD Pipelines: Build and maintain CI/CD pipelines to streamline model deployment.
  • Monitor and Maintain Deployed Models: Conduct regular performance reviews and data audits of deployed models.
  • Security and Vulnerability Management: Participate in threat modelling to identify and assess potential security risks throughout the ML lifecycle.
  • Troubleshoot and Resolve Issues: Proactively troubleshoot issues related to model performance and data pipelines.
  • Champion Best Practices and Compliance: Ensure solutions follow best practices in security and compliance.
  • Identify and Implement Reusable Solutions: Focus on reusability to maximise development efficiencies.
  • Collaborate on Data Architecture: Work with data architects to ensure the MLOps pipeline integrates seamlessly within the broader data architecture.

Requirements:

  • Technical Proficiency in Python and ML Frameworks: Experience with Python and ML frameworks like TensorFlow, PyTorch, or Scikit-Learn.
  • Containerisation and Orchestration: Hands-on experience with containerisation and orchestration tools.
  • CI/CD Expertise: Proven experience developing and managing CI/CD pipelines.
  • Knowledge of Cloud and ML Infrastructure: Experience with cloud platforms and managing cloud-based ML workflows.
  • Experience with Threat Modelling and Vulnerability Management: Proven ability to conduct threat modelling exercises.
  • Experience in Security and Compliance: Demonstrated experience working within secure environments.
  • Cross-Functional Collaboration Skills: Ability to collaborate across teams.
  • Strong Troubleshooting Abilities: Proficient in diagnosing and resolving model and infrastructure-related issues.

Desirable Skills and Experience:

  • Experience with MLOps Tools and Version Control: Familiarity with tools such as MLflow, DVC, and version control practices.
  • Scalability and Optimisation in Production Environments: Experience managing high-performance data systems.
  • Understanding of Agile Development Methodologies: Familiarity with iterative and agile development methodologies.
  • Familiarity with Recent Innovations: Knowledge of recent innovations in AI and ML.

This role will require you to have or be willing to go through Security Clearance.

Benefits:

  • Autonomy to develop and grow your skills and experience.
  • Be part of exciting project work.
  • Strong, inspiring and thought-provoking leadership.
  • A supportive and collaborative environment.

As well as this, we offer:

  • Development access to LinkedIn Learning.
  • Wellness 24/7 Confidential employee assistance programme.
  • Time off 25 days a year.
  • Pension Salary Exchange Scheme with employer contribution.
  • Discretionary Company Bonus based on performance.
  • Life Assurance of 4 times base salary.
  • Private Medical Insurance.
  • Worldwide Travel Insurance.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting

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