What salary range is listed for this UK role?

The posting cites roughly £65k–£88k depending on experience and hybrid schedule. Confirm pension, bonus, and on-site expectations with the employer during screening.

How do I stand out on Ganloss for a CV engineer application?

Highlight deployed vision pipelines, domain shift you handled, and metrics (defect recall, false alarm rate). Add links to datasets or demos you can discuss under NDA if needed.

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KI-Rolle · Offenes Angebot

Computer Vision Engineer — manufacturing QA

Avon Vision Robotics

Vollzeit
Senior
Vision systems
Hybrid
Bristol, England, United Kingdom · Hybrid
Bristol, United Kingdom
£65k–£88k

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Arbeitsmodell, Ort und wichtige Daten des Inserats.

Anstellungsart: Vollzeit
Arbeitsort-Modell: Hybrid
Standort: Bristol, England, United Kingdom · Hybrid
Vergütung: £65k–£88k
Erfahrungslevel: Senior
Team: Vision systems
Benefits

Über die Rolle

Was das Team sucht und wie die Position passt.

Avon Vision Robotics is hiring a Senior Computer Vision Engineer — manufacturing QA on the Vision systems team (Hybrid · Bristol, United Kingdom). This is a hands-on role in computer vision & geospatial AI—not a generic “AI enthusiast” post.

You will own vision, sensor, or geospatial models in production end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Avon Vision Robotics delivers on-line quality inspection for manufacturing partners across aerospace, automotive, and packaging. We combine classical vision with modern deep learning and tight plant-floor constraints.

Hiring a Computer Vision Engineer in Bristol (hybrid). You will own models from data collection through edge deployment and support handover to plant maintenance teams.

What you will do

Design datasets, augmentation policies, and labelling workflows with operations engineers.
Train, quantise, and benchmark defect-detection models for GPU and edge targets.
Partner with controls teams on camera placement, lighting, and cycle-time budgets.
Instrument production lines for drift detection and hotfix rollouts.
Document SOPs for MLOps handoff and customer training sessions.

What we look for

4+ years shipping vision models in industrial or robotics contexts.
Strong PyTorch skills; familiarity with ONNX/TensorRT or similar deployment stacks.
Comfort on-site in manufacturing environments (PPE, shift alignment).
UK driving licence and willingness to travel within the UK occasionally.
UK working rights.

Nice to have

Photometric simulation or synthetic data generation pipelines.
ROS or PLC integration experience.

Gesuchte Skills

Was jede Fähigkeit in dieser Rolle bedeutet — keine reine Keyword-Liste.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Docker

Tools & Stack

Genannte Plattformen und Produkte für diese Rolle (APIs, IDEs, Vector-DBs, CRMs, Design-Tools usw.).

AWSTool
Regular use of AWS in the computer vision & geospatial AI stack—configuration, debugging, and team conventions.

Sie passen besonders gut, wenn…

Auf diese Stelle zugeschnitten — prüfen Sie Ihre Passung vor der Bewerbung.

You can show evidence in your application: Footprint/latency tradeoff you shipped on edge.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, Docker, and AWS.
You have owned vision, sensor, or geospatial models in production in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Bristol, United Kingdom)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: £65k–£88k, benefits in At a glance) and your expectations align.

Häufig gestellte Fragen

Kurze Antworten für Kandidat:innen und Hiring-Teams zu dieser Stelle.

Edge or plant QA inspection, sim2real, and vision models under production constraints (latency, lighting, safety). Hybrid Bristol work with MLOps-minded delivery—not pure research.

Bewerben

Nur mit Kandidatenkonto: tragen Sie Überschrift und Bio unter ein, optional einen CV-Link oder PDF, damit Recruiter Ihren vollen Lebenslauf sehen. Dann kurzes Pitch — Bewerbungen nutzen Ihre Login-E-Mail.

Was der Arbeitgeber möchte

Footprint/latency tradeoff you shipped on edge.

Mit Kandidatenkonto anmelden, um sich zu bewerben

Registrieren Sie sich, fügen Sie Überschrift und Bio hinzu, dann können Sie unter Mein Konto einen CV-Link oder PDF anhängen, bevor Sie sich bewerben. So bleiben Bewerbungen mit Ihrem Profil verknüpft.

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Computer Vision Engineer — manufacturing QA

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Häufig gestellte Fragen

What does this computer vision role focus on in Bristol?+

What salary range is listed for this UK role?+

How do I stand out on Ganloss for a CV engineer application?+

KI-Talente, die auch passen könnten

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