Machine learning engineer Work, Jobs in Ham, Wil (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
14d
AI Prompt & Evaluation Specialist
Tomorrow's Guides —Hungerford
- Full-time
- Hybrid work
- Azure
- Data analysis skills
- English
- Free parking
- Annual leave
Quick apply
23h
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
AI Engineer
Devopster IT Consultants —Newbury
- £30,000 - £33,500 a year
- Full-time
- Hybrid work
- Azure
- AWS
- Machine learning
Quick apply
3h
Exams Officer & Cover Co ordinator
Perins School —New Alresford
- £27,780 - £30,564 a year
- Full-time
- Administrative experience
- Organisational skills
- In-person
- Free parking
- Health & wellbeing programme
Quick apply
1h
Machine Learning Engineer
VodafoneThree —Newbury
- Full-time
- Hybrid work
- Azure
- Machine learning
- AI
- Employee discount
Quick apply
1d
IAM Engineer (CyberArk)
CGI —Reading
- Full-time
- Microsoft Access
- Azure
- AWS
Quick apply
Design Team Coordinator
ZPos —Swindon
- £26,500 - £30,000 a year
- Full-time
- English
- Organisational skills
- In-person
- Free parking
- Annual leave
Product Owner (IC2)
Keyloop —Hungerford
- £46,800 - £57,200 a year
- Hybrid work
- Computer Science
- Engineering
- English
6h
Head of Service Desks - Reading, UK
ESP Global Services Limited —Reading
- £70,000 - £75,000 a year
- IT
- AI
- Leadership
Quick apply
Business Systems Developer
BlueKong Networks Limited —Theale
- From £40,000 a year
- Full-time
- Azure
- Microsoft Outlook
- Scripting
- Health & wellbeing programme
- Annual leave
Quick apply
13d
Product Mission Lead
KERRIDGE COMMERCIAL SYSTEMS CORP —Hungerford
- Full-time
- ERP systems
- IT
- In-person
Quick apply
11d
Senior DevOps Engineer
CGI —Reading
- Full-time
- Azure
- DevOps
- AWS
Quick apply
Senior Applied AI Engineer – Prompting & Evaluation
KERRIDGE COMMERCIAL SYSTEMS CORP —Hungerford
- Full-time
- ERP systems
- Master's degree
- Travel
Quick apply
BI - Analyst
KBR —Swindon
- Full-time
- Hybrid work
- Microsoft Office
- SQL
- Analysis skills
1d
Cyber Security Architect
Leidos —Ham
- £61,500 - £78,800 a year
- Full-time
- Microsoft Access
- Azure
- Oracle
- Annual leave
- Work from home
Site Reliability Engineer (DataCosmos)
Open Cosmos —Didcot
- Hybrid work
- Azure
- English
- AWS
Network Engineer
Visa Europe Limited —Basingstoke
- Weekend availability
- Azure
- Computer Science
- Engineering
20h
Service Desk Analyst
Castle Trust Bank —Basingstoke
- Full-time
- Hybrid work
- Azure
- AWS
- Scripting
- Employee assistance programme
- Employee discount
Quick apply

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machine learning engineer jobs near ham, wil

Machine Learning Engineer

Bornea Dynamics Limited
Salisbury

Quick apply

Job details

Permanent | Full-time
£45,000 - £120,000 a year
14 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 ham, wil

Machine Learning Engineer

AI Prompt & Evaluation Specialist

Data Engineer (Postgres)

Applied AI Engineer – Prompting & Evaluation

AI Engineer

Exams Officer & Cover Co ordinator

Machine Learning Engineer

IAM Engineer (CyberArk)

Design Team Coordinator

Product Owner (IC2)

Head of Service Desks - Reading, UK

Business Systems Developer

Product Mission Lead

Senior DevOps Engineer

Senior Applied AI Engineer – Prompting & Evaluation

BI - Analyst

Cyber Security Architect

Site Reliability Engineer (DataCosmos)

Network Engineer

Service Desk Analyst

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