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

Apply Now

Cyber Defence Principal Consultant

RiverSafe Ltd.
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Research Scientist: Data Science and Machine Learning

Data Engineer

Senior Research Scientist: Data Science and Machine Learning AIP

Senior Research Scientist: Data Science and Machine Learning AIP

Data Scientist

Big Data Engineer - R10188677

Make an impact with your next career moveEmployment

Full-time

Location

London (Canary Wharf) Office / hybrid

Function

Professional Services

The Company

RiverSafe is a premier Cyber Security consultancy based in the heart of Canary Wharf and we are meeting the huge demand we have seen head on! We have a proven track record of delivering services to a well-known client base including FTSE 100 companies and are partnered with market leading technology vendors including Splunk, Palo Alto, Exabeam and AWS.

The Role

A Cyber Defence Principal Consultant finds solutions to ensure enterprise deployments make the deepest impact possible across an organisation. Our principals solve organisation’s most challenging problems, including the ones they didn’t know existed. They are self-motivated, have an insatiable thirst to learn new technologies and thrive in a fast-paced environment. Successful RiverSafe security principals feel comfortable mastering new technologies and come from a variety of business, analytic and technology backgrounds with experience managing diverse teams and clients.

Key Responsibilities

  • Work within our Cyber Defence and Big Data practice and manage teams and client engagements.
  • Oversee the completion of security assessments or technical delivery elements of security transformation programmes.
  • Create high-quality reports that meet customer requirements.
  • Identify opportunities for RiverSafe to assist clients and escalate to the engagement manager.
  • Establish and build a network of contacts within our clients.
  • Assist with the planning and delivery phases of engagements with our Service Delivery Team.
  • Contribute to the creation of proposals and marketing material.
  • Ensure work is delivered on time and on budget.
  • Develop the existing team by sharing knowledge and leading by example.

Skills

  • Experience in managing security consultants.
  • Demonstrable consulting experience and strong relationship-building skills.
  • Experience with SIEM products like Splunk, Exabeam, ArcSight, Sentinel, or other IPS/IDS products.
  • Experience in security transformation programmes and risk management.
  • Knowledge of Cloud security and Big Data Analytics.
  • Experience in breach and incident management practices.
  • Familiarity with agile development environments.
  • Ability to create secure architecture designs and conduct architectural reviews.
  • Proficiency with Unix and Windows operating systems.
  • Strong networking fundamentals and communication skills.
  • Aptitude for understanding complex problems and customer needs.

What We Offer

  • Great culture in an exciting and fast-growing company.
  • Modern office with games and refreshments.
  • Regular company socials, events, and dinners.
  • A diverse and collaborative environment.
  • Opportunity to grow and lead as the business expands.
  • Paid holiday (22 days + Bank Holidays).
  • Personal learning & development fund.
  • Private healthcare including mental health support.
  • Pension Scheme.
  • Cycle to Work Scheme.

Apply For This Role

First name *

Last name *

Email *

Phone number *

Role Interested In *

Upload CV *

J-18808-Ljbffr

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

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.