Vision engineer Work, Jobs in Mobberley, Chs (with Salaries)

Computer Vision Engineer
Fotenix —Salford
- £30,000 - £40,000 a year
- Full-time
- Hybrid work
- AWS
- APIs
- Linux
Quick apply
Internal Communications Manager
BAM UK & Ireland —Salford
Project Client Coordinator
Element Materials Technology —Warrington
- Communication skills
- Employee discount
- Referral programme
8d
GEN AI Architect
Barclays —Knutsford
- AI
- Negotiation
3rd Line Support Engineer SME - FTC
PXC —Salford Quays
- Full-time
- Azure
- Computer Science
- Windows
Assistant Signal Sighting Engineer
WSP —Manchester
- Part-time
- Hybrid work
- Analysis skills
- Communication skills
- Flexitime
- Work from home
Engineer - Flood Risk Management
ManchesterCityCouncil —Manchester
- £41,771 - £46,142 a year
- Presentation skills
- Annual leave
- Employee discount
Technical Assistant
Element Materials Technology —Warrington
- Monday to Friday
- Communication skills
- Employee discount
- Referral programme
Lecturer - Engineering
The Trafford & Stockport College Group —Stockport
- £16,693.61 - £49,767.00 a year
- Part-time
- Teaching
- Free parking
- Annual leave
11d
Civil Engineer (Nuclear)
AECOM —Warrington
- Full-time
- Hybrid work
- Civil engineering
- Engineering
- Bachelor's degree
Wildcard - Apply Now!
ONYX Insight —Manchester
- Full-time
Quick apply
Digital Engineer
Amentum —Risley
- Full-time
- AutoCAD
- CAD
- No degree
- Employee assistance programme
- Flexible schedule
Data Scientist
PHMG Careers —Manchester
- Monday to Friday
- Hybrid work
- Sales
- Data analysis skills
- SQL
Quick apply
Senior Mapping Localization Engineer
Voxelmaps —Manchester
- £85,000 - £105,000 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Quick apply
Data Platform Engineer
Aareon AG —Manchester
- £50,000 a year
- Full-time
- Hybrid work
- Azure
- Maintenance
- Master's degree
Project Manager
PXC —Salford Quays
- Full-time
- Hybrid work
- Agile
- SDLC
- Work from home
Senior Platform Engineer
Finova —Salford
- Hybrid work
- Azure
- AWS
- Communication skills
- Annual leave
- Employee assistance programme
Cyber Security Engineer
Pennine Care NHS Foundation Trust —Ashton-Under-Lyne
- £39,959 - £48,117 a year
- Full-time
- SharePoint
- Annual leave
- Employee discount
9d
Senior Process Engineer
National Nuclear Laboratory —Risley
- From £57,854 a year
- Engineering
- Communication skills
- Annual leave
- Sick pay
Technical Lead - Full or Part time
Autotrader —Manchester
- From £70,000 a year
- Part-time
- Management
- System design
- SQL

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Computer Vision Engineer

Fotenix
Salford

Quick apply

Job details

Full-time
£30,000 - £40,000 a year

Qualifications

TensorFlow
Image processing
Cloud infrastructure
PyTorch
R
AWS
Docker
OpenCV
APIs
Environmental monitoring
Linux
Python
Debugging

Full job description

Company Description

FOTENIX is making farming more profitable with AI. Our multispectral cameras give commercial growers plant-level visibility of crop health, detecting stress, pest, and disease indicators before they are visible to the human eye. Relied on by some of the UK's largest growers, our system has been shown to deliver a 5x improvement in labour efficiency and up to 80% reduction in manual scouting time in commerical deployments, which translates into lower input costs, fewer unnecessary interventions, and more accurate yield forecasts.

Role Description

We’re looking for a hands-on Computer Vision Engineer to join our ML-driven, Agri-Tech team. You’ll focus on building and deploying production computer vision pipelines that process multispectral imagery to monitor crop health, detect stress, and support yield prediction. This role suits someone who wants to take models from development through to reliable, scalable deployment on real-world agricultural systems.

Key Responsibilities

Image Pipeline Development: Build and maintain production pipelines for ingesting, calibrating, and processing multispectral image data at scale. Implement efficient batch and streaming workflows for image pre-processing and quality assurance.
Model Deployment & Integration: Package trained computer vision models for deployment across edge and cloud environments. Integrate inference pipelines with the wider Automated Crop Scout platform and internal APIs.
Detection & Classification: Develop and optimise detection, segmentation, and classification systems for plant stress, disease, and growth-stage identification from multispectral imagery.
Vegetation Index Computation: Implement and optimise vegetation index calculations from raw spectral band data. Ensure accuracy and consistency of derived features across different sensor configurations and lighting conditions.
Edge & Embedded Inference: Optimise models for inference on edge devices deployed in commercial glasshouse and field environments. Profile and tune for latency, memory, and power constraints.
Testing, Monitoring & Reliability: Build test suites and monitoring for deployed vision pipelines. Track model performance in production, flag drift or degradation, and document system behaviour and failure modes clearly.

Core Competencies

Hands-on experience with computer vision libraries and frameworks (OpenCV, PyTorch, or TensorFlow)
Proficiency in Python, with experience writing production-quality code beyond notebooks and prototypes
Practical experience deploying ML models into production or staging environments
Understanding of image processing fundamentals: filtering, calibration, registration, and geometric transforms
Familiarity with containerisation (Docker) and CI/CD pipelines for ML systems
Experience working with large image datasets and efficient data loading strategies
Strong debugging and profiling skills for performance-critical applications
Able to communicate technical trade-offs clearly to both engineering and non-technical colleagues

Bonus Competencies

Experience with multispectral or hyperspectral imaging data
Exposure to edge inference frameworks (ONNX Runtime, TensorRT, or OpenVINO)
Familiarity with cloud infrastructure (AWS preferred) for model serving and data storage
Understanding of MLOps tooling such as experiment tracking, model registries, and automated retraining workflows
Prior experience with object detection or semantic segmentation architectures (YOLO, U-Net, Mask R-CNN)
Background in agriculture, plant science, or environmental monitoring
Experience working with embedded Linux systems or single-board computer.

Our Values

As an equal opportunity employer, we encourage individuals across any sexual orientation, race, religion, ethnicity, age, gender, neurodiversity, and/or disability to apply. Our ethos is to propagate talent, and each individual contributes to our culture.

We are aware of the pressures of today’s lifestyle and operate flexible work times and locations to facilitate. This is a hybrid/flexible role. Staff training programmes help you develop towards your future alongside a high-performing but laid-back team of individuals.

We can promise a constant supply of local coffee and tea, our office dog (Juno), and a collaborative music playlist to set the scene for those Monday mornings!

We're hiring directly for this role. Please no agency submissions or recruiter outreach

Pay: £30,000.00-£40,000.00 per year

Work Location: Hybrid remote in Salford M6 6AJ

Quick apply

Refine Your Search

vision engineer jobs in mobberley, chs

Computer Vision Engineer

Internal Communications Manager

Project Client Coordinator

GEN AI Architect

3rd Line Support Engineer SME - FTC

Assistant Signal Sighting Engineer

Engineer - Flood Risk Management

Technical Assistant

Lecturer - Engineering

Civil Engineer (Nuclear)

Wildcard - Apply Now!

Digital Engineer

Data Scientist

Senior Mapping Localization Engineer

Data Platform Engineer

Project Manager

Senior Platform Engineer

Cyber Security Engineer

Senior Process Engineer

Technical Lead - Full or Part time

I want to receive the latest job alerts for vision engineer in mobberley, chs

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