Software Engineering Intern

Mimecast
London
1 year ago
Applications closed

Related Jobs

View all jobs

Developer with Data Engineering focus

Machine Learning Engineer

Software Engineer - Data Engineering

Software Engineer - Data Engineering

Data Analyst

Data Analyst

Software Engineering Intern

Welcome to Mimecast, we are a highly accredited and multi-award winning, global cyber resilience SaaS vendor on a mission to stop bad things happening to good organisations!

As a SaaS, the Engineering department is the backbone of our organisation. This community is built up of technically passionate and intelligent people, some of which are at the top in their field of expertise.

We have created a truly diverse and inclusive environment actively encouraging innovation and collaboration, all fuelled by Agile principles with fun being at the very core of everything this community does. 


As a Software Engineering Intern, you will work on our core products and services as well as those which support critical functions of our engineering operations. Where you might end up working as an intern depends on your background and experience.


Using your foundational knowledge in computer science, you will develop new ideas and gain an in-depth understanding of our products to help continually improve them. We are a collaborative, agile global organisation of engineers with the highest levels of quality focus, technical knowledge and programming skills.

Responsibilities:

  • Research, conceive and develop software applications to extend and improve on Mimecast’s product offering.
  • Contribute to a wide variety of projects utilising natural language processing, artificial intelligence, data compression, machine learning and search technologies.
  • Collaborate on scalability involving access to massive amounts of data and information.
  • Overcome the challenges presented to you as part of your development.

Minimum qualifications:

  • Currently pursuing a Bachelors, Masters or PhD in Computer Science or a related technical / engineering field, with a significant software coding component.
  • You have a dedicated year in industry as part of your sandwich degree course.
  • Preference for students studying a sandwich course with a placement year in industry.
  • Experience with one or more general purpose programming languages including but not limited to: Java, Python, C#, C/C++ or Swift.
  • Must have authorisation to work in UK.

Preferred qualifications:

  • Currently in your penultimate year of study.
  • Experience in systems software or algorithms.
  • Knowledge of Unix/Linux and APIs.
  • Knowledge of TCP/IP and network programming.

Please only apply if you're able to commit to a year in industry (from Aug/Sept 2025 until late summer 2026) and you are currently studying a sandwich degree, where you plan to return to study your final year (2026/27) after completion of your year in industry.

Please note, this isnota summer internship and is not suitable for students who have completed or are completing their final year of study this year (2025).

If you would like more information about Mimecast, please visit our careers page here at:. 

We look forward to hearing from you soon!

#LI-OY1

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.