National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Python Engineer, AI Analysis

Darktrace
Cambridge
10 months ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineer...

Artificial Intelligence Engineer

Python Software Engineer

Founded by mathematicians and cyber defense experts in 2013, Darktrace is a global leader in cyber security AI, delivering complete AI-powered solutions in its mission to free the world of cyber disruption. We protect more than 9,000 customers from the world’s most complex threats, including ransomware, cloud, and SaaS attacks.

Our roots lie deep in innovation. The Darktrace AI Research Centre based in our Cambridge, UK headquarters, has conducted research establishing new thresholds in cyber security, with technology innovations backed by over 130 patents and pending applications.

For more information on our cutting-edge technology, visit.

You will join the dedicated R&D teams in Cambridge that create and improve the products behind the company’s rapid growth. Our software engineers work on a wide variety of projects and with a diverse toolset.

The AI Analysis team focuses on a range of products and software which aim to automate the human analysis process, including the Cyber AI Analyst, as well as a number of other products and the data and infrastructure to support them. Members of the team typically work in one or more areas including Python development, security research and analysis, machine learning research, and cloud architecture.

This is a hybrid role, and the expectation would be to work a minimum of 2 days a week in the Cambridge office.

To find out more about our world-class products and wider business, please consult our website

As a Python engineer within AI Analysis team, your role will be responsible for, but not limited to:

Contributing to rapid prototyping of new and innovative ideas to further improve Darktrace’s services and offerings, Improving the performance and competencies of existing products and platforms, Investigating and furthering our unique methodology in defending against unknown cyber-attacks,

Innovation is of paramount importance and as such, creativity in approach is encouraged as much as traditional project-based development.

Candidate requirements:

We welcome applications from engineers who have a solution focused mindset combined with an analytical approach and problem-solving skills. During the interview process you’ll be able to demonstrate your ability to program using Python and will show an understanding of writing code in a production environment. Additionally, it’s likely that you’ll be:

Comfortable working autonomously and taking independent decisions as well as having the ability to work cooperatively within a team, Able to show knowledge or interest in cyber-security / malware forensics, Familiar with Docker, Knowledgeable about cloud computing environments would be beneficial.

Experience of working with a range of other programming languages such as JavaScript, Rust, and C++ would also be beneficial but isn’t essential.

Benefits:

23 days holiday + all public holidays. Increasing to 25 days after 2 years of service. Additional day off for your birthday. Private medical insurance. Life insurance. Pension – 4% employer contribution. Enhanced family leave. Confidential employee Support. Cycle to work scheme

#LI-Hybrid 

National AI Awards 2025

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.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.