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: Reward & 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.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jan 18, 2026

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jan 13, 2026

Jobs

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.

Jan 6, 2026

Education Jobs

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.