Machine learning engineer Work, Jobs in Middle Wallop, Ham (with Salaries)

Machine Learning Engineer
Bornea Dynamics Limited —Salisbury
- £45,000 - £120,000 a year
- Full-time
- Engineering
- C++
- Machine learning
- Free parking
Quick apply
10d
Digital Analytics Specialist
Semantic Ltd —Southampton
- £45,000 - £52,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- Travel
- Flexitime
- Work from home
Quick apply
12d
Data Engineer (Postgres)
Leidos —Ham
- £47,600 - £61,000 a year
- Full-time
- Oracle
- SQL
- AWS
- Annual leave
- Work from home
Applied AI Engineer – Prompting & Evaluation
KERRIDGE COMMERCIAL SYSTEMS CORP —Hungerford
- Full-time
- ERP systems
- Master's degree
- APIs
Quick apply
Engineering Manager
Benifex —Southampton
- £80,000 - £120,000 a year
- Hybrid work
- Management
- Agile
- AI
- Employee assistance programme
7d
Graduate R&D Engineer – System & Architecture
Microchip Technology —Whiteley
- Full-time
- Engineering
- Analysis skills
- Bachelor's degree
Cyber Software Engineer
Roke Manor Research Limited —Romsey
- Java
- AWS
- C++
Data Quality Lead
Ageas —Eastleigh
- Up to £85,000 a year
- Full-time
- Azure
- AWS
- IT
8d
Software Engineer IA Defence
Roke Manor Research Limited —Romsey
- Azure
- Java
- AWS
Service Desk Analyst
Castle Trust Bank —Basingstoke
- Full-time
- Hybrid work
- Azure
- AWS
- Scripting
- Employee assistance programme
- Employee discount
Quick apply
Software Architect - Machine Learning
Beyond Sports —Basingstoke
- £61,860 - £83,190 a year
- Full-time
- Hybrid work
- Azure
- AWS
- Machine learning
- Annual leave
Senior Cloud Engineer
LexisNexis Risk Solutions —Southampton
- Full-time
- AWS
- Scripting
- Python
Senior Cloud Engineer
RELX Group —Southampton
- Full-time
- AWS
- Scripting
- Python
Senior Cloud Engineer
RELX —Southampton
- Full-time
- AWS
- Scripting
- Python
Senior Learning & Development Manager
UL Solutions —Basingstoke
- Hybrid work
- Master's degree
- Bachelor's degree
- Human resources
- Annual leave
9d
Engineering Manager (12-month FTC)
Benifex —Southampton
- £80,000 - £120,000 a year
- Remote
- Management
- APIs
- Agile
- Employee assistance programme
7d
Senior Data Engineer
Ageas —Eastleigh
- £70,000 - £85,000 a year
- Full-time
- SQL
- AWS
- AI
Enterprise Solution Architect
cloudpay —Andover
- Full-time
- Azure
- AWS
- Computer networking
- Employee assistance programme
- Bereavement leave
1d
ICT Program Director
Ericsson —Newbury
- Microsoft Outlook
- Management
- PMP
2d
Cyber Security Architect
Leidos —Ham
- £61,500 - £78,800 a year
- Full-time
- Microsoft Access
- Azure
- Oracle
- Annual leave
- Work from home

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machine learning engineer jobs near middle wallop, ham

Machine Learning Engineer

Bornea Dynamics Limited
Salisbury

Quick apply

Job details

Permanent | Full-time
£45,000 - £120,000 a year
10 days ago

Benefits

Free parking
Casual dress
On-site parking

Qualifications

TensorFlow
MATLAB
Signal processing
PyTorch
Software deployment
Engineering
C++
Machine learning
Deep learning
Simulink
ARM
Electrical Engineering
AI
Python

Full job description

About Bornea

Bornea (UK) Limited develops advanced technologies for defence, aerospace, security, and space applications. Our work spans artificial intelligence, electronic warfare, autonomous systems, signal processing, sensing technologies, robotics, and embedded computing. We work with government, military, and commercial customers to develop innovative solutions from concept through deployment.

We are seeking a talented Machine Learning Engineer with a strong background in Digital Signal Processing (DSP) to support the development of next-generation sensing, detection, classification, and autonomous decision-making systems.

The Role

The successful candidate will contribute to the design, development, testing, and deployment of machine learning algorithms for processing real-world sensor and communications data. Projects may involve RF spectrum monitoring, electronic warfare, radar, acoustic sensing, electro-optical systems, autonomous platforms, and edge AI applications.

You will work alongside multidisciplinary teams of engineers and scientists to develop algorithms that operate under challenging real-world conditions and on resource-constrained embedded platforms.

Key Responsibilities

Design and implement machine learning and signal processing algorithms for detection, classification, tracking, and anomaly detection.
Develop and evaluate AI/ML models using real-world and simulated sensor datasets.
Perform signal analysis in time, frequency, and time-frequency domains.
Develop DSP pipelines for RF, radar, communications, acoustic, and imaging systems.
Optimize algorithms for deployment on embedded and edge computing platforms.
Support data collection, dataset generation, labeling, validation, and performance assessment activities.
Conduct algorithm testing, verification, and validation activities.
Contribute to technical reports, project documentation, customer presentations, and proposal development.
Collaborate with software, electronics, RF, and systems engineers throughout the development lifecycle.

Essential Requirements

Degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related discipline.
Strong understanding of Digital Signal Processing principles.
Experience developing machine learning models using Python.
Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar.
Knowledge of statistical signal processing and feature extraction techniques.
Experience analyzing complex datasets and evaluating algorithm performance.
Strong programming skills in Python and/or C++.
Ability to communicate technical concepts clearly in written and verbal form.
Eligibility to obtain and maintain UK security clearance.

Desirable Requirements

Experience with RF signal processing, spectrum analysis, radar, communications, or electronic warfare systems.
Experience with deep learning for sensor data analysis.
Knowledge of CNNs, RNNs, Transformers, and modern machine learning architectures.
Experience with embedded AI deployment on ARM, NVIDIA Jetson, FPGA, or similar platforms.
Familiarity with GNU Radio, MATLAB, Simulink, or SDR platforms.
Experience with time-series analysis and anomaly detection.
Knowledge of sensor fusion and multi-modal machine learning.
Experience working on defence, aerospace, security, or government-funded R&D projects.
Understanding of MLOps, model optimization, and deployment workflows.

What We Offer

Bornea provides the opportunity to work on cutting-edge technology programmes involving artificial intelligence, sensing, autonomous systems, electronic warfare, and space technologies. You will join a highly technical and collaborative team where innovation, experimentation, and technical excellence are encouraged.

Benefits include:

Competitive salary and benefits package.
Opportunity to work on nationally significant defence and security programmes.
Exposure to a broad range of advanced technologies and applications.
Professional development and training opportunities.
Flexible and dynamic engineering environment.

Pay: £45,000.00-£120,000.00 per year

Benefits:

Casual dress
Free parking
On-site parking

Work Location: In person

Quick apply

Refine Your Search

machine learning engineer jobs in middle wallop, ham

Machine Learning Engineer

Digital Analytics Specialist

Data Engineer (Postgres)

Applied AI Engineer – Prompting & Evaluation

Engineering Manager

Graduate R&D Engineer – System & Architecture

Cyber Software Engineer

Data Quality Lead

Software Engineer IA Defence

Service Desk Analyst

Software Architect - Machine Learning

Senior Cloud Engineer

Senior Cloud Engineer

Senior Cloud Engineer

Senior Learning & Development Manager

Engineering Manager (12-month FTC)

Senior Data Engineer

Enterprise Solution Architect

ICT Program Director

Cyber Security Architect

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