Senior Data Scientist – Computer Vision (Ref: 197411)

• about the role

About Us

The organisation focuses on bespoke software, systems integration, and managed services that optimise manufacturing and distribution workflows. The team invests in product innovation to drive measurable efficiency gains and supports clients with tailored technical strategies and ongoing support.

Job Description

The Senior Data Scientist – Computer Vision will lead development and operationalisation of vision-based systems that solve inspection, automation, and logistics problems for bottling operations. The role owns the full model lifecycle from data acquisition and annotation through model training, deployment, and production monitoring. The successful candidate will collaborate with engineering, operations, and external vendors to ensure models integrate into both edge devices and cloud services and produce measurable improvements in quality and throughput.

Key Responsibilities

• Design and Implement Computer Vision Models For Defect Detection, Label Verification, And Tracking.
• Lead Data Collection Strategies, Annotation Standards, And Dataset Management.
• Conduct Experiments, Benchmark Models, And Establish Performance Baselines.
• Deploy And Optimize Models For Edge And Cloud Inference.
• Set Up Monitoring, Alerts, And Retraining Pipelines To Maintain Production Performance.
• Integrate Vision Outputs With Control Systems, Dashboards, And Operational Workflows.
• Mentor Engineers And Data Scientists On Best Practices And Model Governance.
• Communicate Technical Findings To Business Stakeholders And Measure Business Impact.

Requirements

• Minimum Of Five Years Experience In Computer Vision Or Applied Machine Learning With Production Deployments.
• Expertise With Deep Learning Frameworks Such As PyTorch Or TensorFlow And Model Optimization Tools (Onnx, TensorRT).
• Proven Skills In Image Processing, Augmentation Techniques, And Annotation Tools.
• Experience Deploying Models To Edge Hardware And Optimizing For Latency And Memory.
• Familiarity With MLOps Practices Including CI/CD For Models, Monitoring, And Automated Retraining.
• Proven Ability To Translate Business Challenges Into Technical Solutions With Quantified Outcomes.
• Strong Communication Skills For Cross-Functional Collaboration And Executive Reporting.
• Bachelor's Degree In Computer Science, Engineering, Or Equivalent; Advanced Degree Preferred.

Benefits

• Competitive Salary With Market-Relative Compensation.
• Comprehensive Medical, Dental, And Vision Insurance Coverage.
• 401(k) Or Comparable Retirement Plan With Employer Contribution.
• Annual Professional Development Allowance And Training Resources.
• Paid Time Off, Parental Leave, And Flexible Work Arrangements.
• Access To Modern Engineering Tools, Cloud Credits, And On-Site Lab Facilities.

Other

Applicants With Experience In Manufacturing, Industrial Inspection, Or Logistics Will Be Highly Competitive. The Organisation Values Practical Experience Delivering Production-Grade Vision Systems And Encourages Applications From Candidates With Cross-Industry Expertise.

Jessica Dobie

Vice President, Data & Technology

ETail Specialist

• [email protected]

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