Software Engineering Intern

Mimecast
London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist / Software Engineer

Principal Data Scientist (H/F)

Machine Learning Engineer (Databricks)

Machine Learning Engineer

Machine Learning Engineer

Principal Data Scientist (H/F)

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.