ML Engineer

ML Engineer

Posted 2 weeks ago by Flexhire

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Negotiable
Undetermined
Undetermined
England, United Kingdom
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Agile Methodology Artificial Intelligence Automation Autonomous System Computer Vision Containerisation Continuous Integration and Continuous Delivery Data Flow Diagram Data Science Edge Computing JavaScript (Programming Language) JSON Machine Learning Node-RED NumPy Pandas (Python Package) Python (Programming Language) Security Clearance ServiceNow TensorFlow Workflow Automation Workflows

Summary: The role involves developing an AI-powered robotic welding solution, focusing on machine learning capabilities in a collaborative, fast-paced environment. The Senior ML Engineer will design, develop, and deploy intelligent ML solutions, particularly in computer vision and workflow automation. The engagement is expected to last 4-6 weeks, starting in early May, with a preference for candidates eligible for MOD security clearance in the UK. The position requires a strong background in ML and robotics, working closely with engineering and infrastructure teams.

Key Responsibilities:

  • Design, develop, and deploy ML models for image classification and robotics (e.g., YOLO, ResNet)
  • Collaborate closely with engineering and infrastructure teams to align delivery with client needs
  • Build, train, and validate ML models using libraries such as Pandas, NumPy, TensorFlow, and Scikit-learn
  • Implement and optimize automation workflows using Node-RED or ServiceNow Flow Designer
  • Create unit tests and CI/CD pipelines to support robust, production-grade model deployment
  • Participate in agile sprints with infrastructure and platform engineers
  • Tune models for performance and reliability in real-time environments

Key Skills:

  • 5+ years of experience in ML, data science, or applied AI roles
  • Strong background in computer vision, including model development and tuning
  • Expert-level Python skills, especially with libraries like Pandas, NumPy, TensorFlow, and Scikit-learn
  • Experience implementing image classification models (e.g., YOLO, ResNet)
  • Familiarity with automation tools and data flow systems like Node-RED and ServiceNow Flow Designer
  • Strong understanding of JSON and JavaScript for flow development
  • Previous exposure to robotics, autonomous systems, or real-world ML deployments
  • Comfortable working in fast-paced, client-facing projects
  • Experience testing and validating ML models for performance, robustness, and edge cases
  • Bonus: Exposure to ML Ops, containerization (Docker/Kubernetes), or edge computing environments

Salary (Rate): undetermined

City: undetermined

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

We’re launching an exciting new engagement to develop an AI-powered robotic welding solution, with work beginning in early May. This 4–6 week initial engagement will focus on aligning with the client, refining the delivery roadmap, and beginning hands-on development of key machine learning capabilities. We’re looking for a Senior ML Engineer with deep expertise in computer vision, workflow automation, and robotic systems. You’ll help design, develop, and deploy intelligent ML solutions that power real-world robotics in a high-impact, greenfield setting. The project will run in parallel streams across development, infrastructure, and platform — ideal for a collaborative engineer who thrives in fast-paced environments. Preference will be given to candidates who currently hold, or are eligible to obtain, MOD security clearance in the UK.

Key Responsibilities

  • Design, develop, and deploy ML models for image classification and robotics (e.g., YOLO, ResNet)
  • Collaborate closely with engineering and infrastructure teams to align delivery with client needs
  • Build, train, and validate ML models using libraries such as Pandas, NumPy, TensorFlow, and Scikit-learn
  • Implement and optimize automation workflows using Node-RED or ServiceNow Flow Designer
  • Create unit tests and CI/CD pipelines to support robust, production-grade model deployment
  • Participate in agile sprints with infrastructure and platform engineers
  • Tune models for performance and reliability in real-time environments

Ideal Experience

  • 5+ years of experience in ML, data science, or applied AI roles
  • Strong background in computer vision, including model development and tuning
  • Expert-level Python skills, especially with libraries like Pandas, NumPy, TensorFlow, and Scikit-learn
  • Experience implementing image classification models (e.g., YOLO, ResNet)
  • Familiarity with automation tools and data flow systems like Node-RED and ServiceNow Flow Designer
  • Strong understanding of JSON and JavaScript for flow development
  • Previous exposure to robotics, autonomous systems, or real-world ML deployments
  • Comfortable working in fast-paced, client-facing projects
  • Experience testing and validating ML models for performance, robustness, and edge cases
  • Bonus: Exposure to ML Ops, containerization (Docker/Kubernetes), or edge computing environments
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