Graduate Developer

Lorien
Edinburgh
1 year ago
Applications closed

Related Jobs

View all jobs

Graduate Data Engineer

Data Engineer - Junior

Graduate ML Research Engineer: Satellite Imagery & NLP

Graduate Data Scientist

Graduate Data Scientist — Hands-on ML & Analytics

Graduate Clinical Data Analyst

Graduate Developer

Lorien's client, an upscaling firm operating in the world's largest financial market, is rolling out their graduate Software Developer programme for 2025. This is a fantastic time to join their team being responsible for the development of high-performance low latency software at the heart of their global platform.

They're looking for Software Developers with a strong degree in Computer Science or similar to come onboard, upskill with the help of senior technical personnel and progress their career as they help to develop core business software and engineer a variety of technical solutions including core trading and order management services, cloud-based microservices, big data solutions and more.

What you'll enjoy in return for your efforts:

  • Strong remuneration packages depending on your level and relevant skills, plus considerable bonuses (sign-on and annual)
  • Hybrid working (3 days in office, 2 from home) in a new central Edinburgh hub, very commutable by public transport and close to the main train stations
  • Opportunities to progress both professionally (you can pave your own career pathway) and technically, with chances to upskill and learn as you go with the help of supportive senior staff
  • Chance to work on tooling and products used across the globe in an impactful market

Some of the duties involved:

  • Designing, deve...

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.