Senior AI/ML Research Scientist Data Science and Machine Learning

Anson Mccade; Chelmsford; On-site; GBP 60,000 - 70,000; Full time

Job summary

A leading technology and innovation consultancy seeks a Senior AI/ML Research Scientist to join its Data and Decision Support team, focusing on advancing algorithms for sequential data. This pivotal role not only involves leading projects but also mentoring junior researchers while contributing to significant advancements across various sectors such as defence and space.

Benefits

Flexible working

Learning opportunities

Structured career growth

Qualifications

• Over several years of post-PhD experience in AI/ML and/or statistical signal processing.
• Experience with algorithms for sequential or time-series data.

Responsibilities

• Lead delivery of technical research projects and mentor junior researchers.
• Conduct novel research in collaboration with universities and develop proof-of-concept tools.

Skills

Python development skills

Machine Learning

Statistical signal processing

Education

PhD or equivalent industry experience

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Senior AI/ML Research Scientist - Data Science and Machine Learning
£60,000 - 70,000 GBP
+ Bonus & Package
Onsite WORKING
Location: United Kingdom (East of England) Type: Permanent

Senior AI/ML Research Scientist - Data Science and Machine Learning
Location: Chelmsford, UK (with flexible UK-wide options)
Job Type: Full-time Permanent
Security Clearance: Must be eligible for UK security clearance

Overview:
A leading technology and innovation consultancy is looking for a Senior AI/ML Research Scientist to join its growing Data and Decision Support capability. This role focuses on developing advanced algorithms and machine learning solutions for sequential (time-series) data, including sensor signals, RF, radar, sonar, and related applications.

You'll work at the forefront of AI/ML innovation, contributing to real-world projects in defence, security, space, and commercial sectors. Collaborating in multi-disciplinary teams, you'll help drive applied research, develop prototypes, and mentor junior researchers.


Key Responsibilities:

• Lead delivery of technical research projects, supporting junior researchers and producing high-quality reports, proposals, and demonstrators
• Conduct novel research in machine learning, signal processing, and decision-making, often in collaboration with universities or research partners
• Develop proof-of-concept tools and algorithms, primarily in Python
• Present findings clearly to both technical and non-technical stakeholders
• Mentor junior colleagues and contribute to the wider research community via patents or publications where appropriate

Essential Skills & Experience:

• PhD or equivalent industry experience in a relevant scientific or engineering discipline
• Several years of post-PhD experience applying AI/ML and/or statistical signal processing to sequential or time-series data
• Strong Python development skills with experience in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Ability to lead and deliver research programmes independently and in teams

Desirable Experience (one or more of the following):

• RF communications or electronic warfare (EW)
• Radar or acoustic (e.g., sonar) signal processing
• Sensor fusion and multi-sensor tracking
• Distributed sensing systems or edge ML
• Autonomy and human-machine teaming
• Space-domain awareness (SDA)
• Navigation, positioning, and timing systems
• Behavioural analytics or pattern of life modelling

Why Apply?

• Join a cutting-edge AI research team with real-world impact
• Work across defence, national security, and emerging commercial technologies
• Collaborate with leading academic partners
• Benefit from flexible working, learning opportunities, and structured career growth

If you're a passionate AI/ML researcher with expertise in signal data and real-time decision-making, this is a unique opportunity to work on meaningful innovation in a secure and collaborative environment.

Reference: SCU/BDI/LRSDSML/27/06/25

Postcode: CM1

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