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

Apply Now

Senior Scientist - Human Centric Security Research

Morson Talent
Bassaleg
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist | Python | SQL | Statistics | Machine Learning | Hybrid, Oxford

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Senior Scientist - Human Centric Security Research12 month contract (possible extension)Newport - 3 days onsite per week£45 per hour, inside IR35 (umbrella)Subject to BPSS checkAccountabilities ==================== This jobholder undertakes cutting edge digital security research and innovation activities with the ultimate goal of developing solutions to the business’ problems for which a solution doesn’t currently exist. Further, the jobholder builds and maintains awareness and knowledge of best-practice technology trends and commercially available digital security solutions. The following accountabilities are described giving the scope of their applicability: The jobholder will be accountable for activities in each of the following areas: Coordination:Coordinate Cyber Security innovation across the business to maximise alignment.Build and maintain a working network across the business among subject matter peers and stakeholders.Undertake internal & external engagements on behalf of the digital security office.Collaboration:Collaborate in Cyber Security innovation activities with internal peers, to ensure cyber security is considered in joint projects and deliverables.Consultancy:Provide consultancy services on your specialist area of Cyber Security innovation across the business to ensure knowledge transfer and ensure.Innovation:Deliver innovation projects, activity reports and presentations to cost, quality and time constraints. Build and maintain a research network to support the specialist Cyber Security subject.Support the development and maintenance of a Cyber Innovation Roadmap for your specialist area to capture future threats, opportunities and potential projects. Main activities====================Coordination:Provide significant contributions to the transition of innovation knowledge and technologies into the business and digital security operations, including training, presentations and reports.Participate in a group-wide cyber innovation steering body.Attend and contribute to conferences and events (business / academic).Collaboration:Support external digital security innovation agreements, collaborations and partnerships with specialist subject expertise and industrial / context-of-use guidance.Provide expert services (consultancy) to the internal business on the specialist cyber subject, and as required.Consultancy:Contribute knowledge and advice on cyber aspects of your specialist topic to internal peers across the business and digital security operations.Manage onboarding and offboarding from projects for optimal use of time and resources.Innovation:Undertake state of the art research projects into digital security topics of interest in support of the business, in partnership with the other members of the Cyber Security Innovation team.Maintain awareness of marketed solutions, innovation and gaps, then address gaps by developing and internally marketing prototype solutions.Collaborate with academic partners on research, and provide industrial steering.Contribute to academic funding bids, internally and with academic contacts.Publish technical reports, white papers, patents, academic articles, etc.Outputs====================Prototype solutions, software, configurations, shared expertise.Horizon scans, market studies, technical reports.Internal & external proposals.Profile==================== We are looking for a friendly, enthusiastic, well organised and self-motivated colleague with a personal drive to analyse, innovate and create. The eventual role holder will substantially align with the following criteria (in particular with the “Must Haves”). Academic: Must Have:Bachelors degree in Artificial Intelligence / Machine Learning.Recent PhD or Masters relevant toCyber Security of AI ML.Advantage:Professional training / certifications and experience in Cyber Security.Experience: Must Have:Deep AI/ML algorithm and application knowledge (ideally Cyber aspects)Experience of research, innovation and/or solution development.Advantage:Experience of managing digital security and/or R&I projects.Cyber industry publication (blogs, SANS articles etc).Experience in Cybersecurity of AI / ML.Experience in AI / ML applied to Cyber Security.Experience of patent applications and intellectual property managementResearch Skills: Must Have:Excellent report writing and presentation skills.Excellent spoken and written English. Advantage:Academic publication track record.Recent Cyber Security research publications.Managing NDAs, IPR, Patent Applications.Spoken & written French / German.Technical skills: Must Have:Technical specialist in AI / ML techniques.Advantage:Data Analytics / AI/ML applied to Cyber Security (tools & techniques).AI/ML vulnerabilities.Software development / scripting / web apps, e.g. Python, Rust

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 Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.