Senior Software Developer

Cathcart Technology
Edinburgh
10 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst ( Power BI / SQL )

Data Engineer - (Python, SQL, Machine Learning) - Robotics

Data Scientist, United Kingdom - BCG X

Senior Machine Learning Scientist

Senior Data Engineer - Azure & Snowflake

Senior Data Analyst

A Scottish Med-Tech Org are looking for a skilled Senior / Software Developer (ideally with good Python experience) on a fully remote basis in the UK. Opportunity to with a modern tech stack, alongside some really strong Developers in a very rewarding environment.The company are well-established (they've been running for over 10 years) and have been going through a period of growth for the past few years now - they have recently brought in some really high-profile clients and are now recognised as one of the leaders in their field.Their development team currently works fully remote and they are offering this long-term (providing you are based in the UK - however they do have a preference for Scotland). Currently the Development team is roughly 40 strong, boasting Back-End, Front-End, Full Stack Developers, DevOps Engineers, Data Engineers and Product Managers - it's a really established environment.This role would involve joining a small squad of two, where you'll be tasked to develop an algorithm-based product for their client base. You'll largely be using Python , Azure and Kubernetes in this squad, so you'll ideally feel comfortable with most of those skills.They're an organisation that truly embody best practices (from TDD, BDD and DevOps), and each squad does have a strong focus on software security given the nature of the work - so Engineers that have worked in similar environments tend to get on really well here.Ideally, you'll have;** Good commercial experience with Python** Database Skills; SQL & NoSQL** Good Linux / Unix skills** Experience with cloud services (Azure, AWS or GCP)Experience with the following is highly desirable;** Docker / Kubernetes** Software Security** Working in a data driven environmentIn return the company are offering a competitive salary with good benefits (more than happy to discuss this in detail upfront) - also they offer 100% remote working from within the UK.If you think you're up to the challenge and enjoy working in a technically demanding, but yet really rewarding environment please apply and / or drop Douglas Paget at Cathcart Technology a message through Linkedin.TPBN1_UKTJ

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 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.

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.

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.