Graduate Support Engineer 2024

Suade
London
1 year ago
Applications closed

Related Jobs

View all jobs

Snowflake Data Engineer

Snowflake Data Engineer

Machine Learning Engineer/Researcher - 2026 Graduate Programme

Data Engineer - Junior

Senior Data Engineer

Data Engineer - Junior

Suade’s success is built on grit, determination, and our proven ability to develop cutting edge technology to create the next generation of Regulatory Technology (RegTech) software.

Are you someone who loves technology and is eager to kickstart your journey into software engineering? We have an exciting opening for a Graduate Support Engineer who is passionate about tackling challenges and helping clients. In this role, you will provide top-notch technical assistance while also engaging in Python development to enhance our software solutions.

As a Graduate Support Engineer, you will not only address client inquiries and technical issues but also gain valuable insights into the intricate workings of complex software systems. This position offers a unique pathway for aspiring software engineers to immerse themselves in the complexities of financial technology. You’ll have the opportunity to develop, refine, and implement Python scripts and applications that drive innovation within our organization.

In addition to developing your problem-solving skills through client interactions, you will collaborate closely with our engineering team to contribute to ongoing projects and enhancements. This role is a fantastic opportunity to bolster your technical expertise, solve real-world problems, and witness firsthand how technology is reshaping regulation in the finance sector.

Join us to be a part of driving innovation and delivering exceptional customer support, while also honing your programming skills in a dynamic and supportive environment.

The Scheme

Our graduate scheme is an 18-month full-time programme designed to equip candidates with the skills they need to successfully develop the next generation of RegTech solutions. As part of our graduate cohort, you will gain exposure to and work on projects which are transforming the regulatory reporting landscape.

Suade is delighted to be an equal opportunity employer we have a diverse team with great values. All qualified applicants will receive consideration for employment without bias.

We are unable to offer visa sponsorship for this role.

Requirements

  • Energetic, self-directed, motivated and detail oriented.
  • Experience creating software (ideally using Python 3)
  • Computer science fundamentals: complexity, algorithms, data structures.

Responsibilities

  • Work along side Suade engineers to diagnose and troubleshoot customer technical problems and design new solutions.
  • Collaborate with the product team and subject matter experts to deliver a great client experience.
  • Be the first line of contact with our customer support team.
  • Maintain the knowledge base of common problems and recommendations. Design solutions to automate/streamline this process.
  • Participate in the full application lifecycle: write, test, deploy and maintain features.

Good to have

  • Experience with developer collaborative tools (GitHub/Gitlab etc.)
  • Experience working with XML (with xLink) or XBRL.
  • Experience with Machine learning.
  • Experience with Test Driven Development.
  • Experience with Linux, Docker.

Benefits

  • 25 days holiday + Bank Holidays
  • Flexible holiday - choose when you take your holidays by opting out of bank holidays if you would like!
  • Additional annual leave holiday - An extra day of annual leave for every 3 years you work at Suade in addition to your existing 25 days on a pro rata basis.
  • Company Pension
  • Maternity leave and extraordinary paternity leave
  • Flexible working hours
  • Company laptop
  • £500 Annual Training/ Development Subsidy
  • Perkbox

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 Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

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.