Machine learning engineer

iO Associates UKEU; Portsmouth; On-site; GBP 90,000; Full time

Job summary

A leading company in the UK defence sector is seeking multiple Machine Learning Engineers to enhance their applied AI capabilities. The successful candidates will work with a multidisciplinary team on mission-critical systems, developing advanced machine learning models for diverse defence applications, ensuring high performance and reliability.

Qualifications

• Strong background in machine learning, data science, or AI.
• Solid programming skills in Python.
• Ability to build and optimise ML pipelines from prototype to deployment.

Responsibilities

• Designing and implementing robust ML models for defence environments.
• Processing and analysing complex datasets, including geospatial and operational intelligence data.
• Collaborating closely with developers and data scientists.

Skills

Machine Learning

Data Science

Python

TensorFlow

PyTorch

Algorithm Performance

Education

Degree in related field

Job description

Job Description:

Role: Machine Learning Engineer

Location: Cheltenham

Salary: £90,000

Clearance Required: eDV

One of our key clients within the UK defence sector is seeking several Machine Learning Engineers to support the expansion of their applied AI and data science capability.

Working on mission-critical systems where performance, reliability, and interpretability are essential. You will contribute to the development of advanced machine learning models that support a broad spectrum of defence applications, including real-time object detection, multi-sensor data fusion, anomaly detection in complex systems, and predictive analytics for operational readiness.

The role sits within a multidisciplinary engineering team, collaborating closely with software developers, data scientists, and subject matter experts to design, train, validate, and deploy ML solutions on secure, often resource-constrained platforms.

Key Responsibilities:

• Designing and implementing robust ML models suited to real-time or mission-critical defence environments
• Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data
• Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration
• Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards
• Staying current with emerging AI/ML techniques and assessing their applicability to defence applications

Essential Skills & Experience:

• Strong background in machine learning, data science, or AI, with a degree in a related field
• Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch,
• Demonstrated ability to build and optimise ML pipelines from prototype to deployment
• Understanding of algorithm performance in constrained or sensitive environments

Desirable:

• Prior experience within the defence, aerospace, or national security sectors
• Familiarity with computer vision, signal processing, or natural language processing
• Exposure to MLOps, edge computing, or synthetic data generation
• Knowledge of government or MOD procurement and technical frameworks is an advantage

If you are interested in the above position, please contact me, James Chapman on 07903 438136 or email me at [emailprotected] (even if you don't have a CV yet, I'd like to speak with you!)

Role: Machine Learning Engineer

Location: Cheltenham

Salary: £90,000

Clearance Required: eDV

One of our key clients within the UK defence sector is seeking several Machine Learning Engineers to support the expansion of their applied AI and data science capability.

Working on mission-critical systems where performance, reliability, and interpretability are essential. You will contribute to the development of advanced machine learning models that support a broad spectrum of defence applications, including real-time object detection, multi-sensor data fusion, anomaly detection in complex systems, and predictive analytics for operational readiness.

The role sits within a multidisciplinary engineering team, collaborating closely with software developers, data scientists, and subject matter experts to design, train, validate, and deploy ML solutions on secure, often resource-constrained platforms.

Key Responsibilities:

• Designing and implementing robust ML models suited to real-time or mission-critical defence environments
• Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data
• Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration
• Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards
• Staying current with emerging AI/ML techniques and assessing their applicability to defence applications

Essential Skills & Experience:

• Strong background in machine learning, data science, or AI, with a degree in a related field
• Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch,
• Demonstrated ability to build and optimise ML pipelines from prototype to deployment
• Understanding of algorithm performance in constrained or sensitive environments

Desirable:

• Prior experience within the defence, aerospace, or national security sectors
• Familiarity with computer vision, signal processing, or natural language processing
• Exposure to MLOps, edge computing, or synthetic data generation
• Knowledge of government or MOD procurement and technical frameworks is an advantage

If you are interested in the above position, please contact me, James Chapman on 07903 438136 or email me at [emailprotected] (even if you don't have a CV yet, I'd like to speak with you!)