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Senior Machine Learning Specialist

1 month ago

Bristol, Bristol, United Kingdom Data Careers Full time

About the Role: We are seeking a highly skilled Machine Learning Engineer to join our team at Data Careers.


Job Summary: As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models to drive business decisions.


Key Responsibilities:



  • Design and develop machine learning models using tools like Kubernetes and Docker to ensure efficient deployment and management.
  • Develop scripts for automation and ensure reproducibility of ML experiments to maximize return on development investments.
  • Conduct regular model performance reviews, data audits, and troubleshoot model-related issues to ensure high-quality outputs.
  • Work within cross-functional teams to establish ML development best practices and secure CI/CD pipelines to ensure scalability and security.
  • Develop robust, secure, and scalable solutions adhering to MOD and high-assurance compliance standards to meet business needs.
  • Identify opportunities for reusable solutions to maximize return on development investments and drive business growth.

Requirements:



  • Technical and Problem-Solving Skills: Strong analytical skills for logical solution analysis and troubleshooting.
  • ML Environment Experience: Proficient with Linux/Windows, ML frameworks (e.g., TensorFlow, PyTorch), and automation tools.
  • Programming Proficiency: Expertise in Python, Ruby, Perl, Java, with advanced scripting skills in Bash or PowerShell.
  • Model Monitoring and Performance Evaluation: Experience with MLflow, Prometheus, and similar tools for monitoring and logging.
  • DevOps and Agile Awareness: Familiar with DevOps, Agile principles, CI/CD pipelines, and version control (Git).
  • Security and Compliance: Understanding of secure code practices, threat modelling, and adherence to regulatory standards for high-assurance software.

Additional Experience:



  • Industry Background: Over 5 years in defence, aviation, or medical sectors within roles such as software, DevOps, DevSecOps, MLOps, or AI engineering.
  • Complex Project Experience: Proven experience with software and AI development and deployment in complex, high-stakes environments.
  • Technical Documentation: Strong skills in producing high-standard technical documentation.

Desirable Skills:



  • Data Project Development: Experience with large-scale data project implementation and solution governance.
  • Frameworks and Infrastructure Knowledge: Familiarity with SaaS, IaaS, PaaS, SOA, APIs, microservices, and predictive analytics.

Qualifications:



  • Essential: Degree or equivalent in Software/AI, or relevant experience.
  • Desirable: Certifications in software languages, vendor qualifications (e.g., MCITP, VCP), and Agile/SAFe qualifications.

Language: English