Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Science and Machine Learning Scientist

ZipRecruiter
Chelmsford
3 days ago
Create job alert
Overview

Senior Research Scientist - AI/ML & Signal Processing — Location: Great Baddow (Hybrid, 2 days onsite per week). Salary: Up to £70,000 + benefits.

We are seeking a Senior Research Scientist to join a growing Data and Decision Support capability within a leading global technology and defence organisation. This role is focused on developing novel AI/ML algorithms and statistical signal processing techniques, with applications across sectors including space, defence, security, and commercial industries.

You'll work at the forefront of innovation, applying advanced machine learning and data science techniques to time-series, sensor and sequential data, delivering high-impact research, prototypes, and demonstrators. You'll also collaborate with academic partners and multidisciplinary teams working across areas such as radar, sonar, RF, distributed sensing, reinforcement learning, computer vision, NLP, and generative AI.


Responsibilities

  • Lead delivery of technical research projects, mentoring junior researchers.
  • Develop prototypes, proof-of-concepts, and novel inference algorithms.
  • Produce technical reports, proposals, and present findings to technical and non-technical stakeholders.
  • Contribute to publications, patents, and academic partnerships.
  • Work on cutting-edge AI/ML research that supports real-world applications.

Essential Skills & Experience

  • PhD (or equivalent industry experience) in a relevant discipline.
  • Strong background in Machine Learning and/or statistical signal processing applied to sequential/sensor data.
  • Proficiency in Python with experience in frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Demonstrated expertise in developing ML solutions for real-world problems.

Desirable Experience

  • RF communications, radar, sonar, or electronic warfare.
  • Tracking, sensor data fusion, or distributed sensing.
  • Autonomy, space-domain awareness, human-machine teaming.
  • Pattern of life analytics or advanced navigation systems.

Why Apply

  • Work on high-impact, mission-critical research with applications across multiple domains.
  • Hybrid working model with a collaborative, research-driven team.
  • Opportunity to shape the direction of next AI/ML innovations.
  • Salary up to £70,000 with excellent benefits and career development opportunities.

If you are interested please email your CV to (see below) for immediate consideration


#J-18808-Ljbffr

Related Jobs

View all jobs

Staff Machine Learning Scientist

Senior Data Scientist

Senior Data Scientist

Senior Product Data Scientist

Machine Learning Operations Engineer

Data Science and Machine Learning Consultant...

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.