Software Developer

Oxford
1 year ago
Applications closed

Related Jobs

View all jobs

Contract Azure Data Engineer - £600/pd Outside IR35

Data Engineer

Data Analyst ( Power BI / SQL )

Data Engineer

Data Engineer

Junior Data Scientist / Data Analyst

C# Software Developer required by a growing software company in Oxford.

Mainly remote working with occasional visits to the Oxford office.

The successful C# Software Developer will be join a team migrating the company's main application to .NET 8, enhancing functionality, and supporting the upgrade of an ASP.NET and React-based website. This role offers the opportunity to work on cloud-integrated, scalable projects hosted in Azure.

This is a high-tech environment offering the chance to work with AI driven analytics working alongside machine vision specialists.

The C# Software Developer will be responsible for

Playing a key role in the migration of the core application from .NET Framework to .NET 8.
Developing, testing, and maintaining features for existing and new applications.
Ensuring code quality and adherence to best practices through testing and reviews.
Contributing to the upgrade and development of an ASP.NET and React-based website.
Working closely with front-end developers to ensure an efficient user experience.
Integrating applications with Azure services, including functions, web apps, and SQL Server databases.
Supporting the maintenance and optimisation of cloud-hosted solutions.
AI Integration

Key Experience

C#
.NET Core and/or .NET 8
Design patterns.
ASP.NET
Azure services
MS SQL Server.
RESTful APIs.

Experience in any of the following area would be advantageous but is not a prerequisite

Migrating applications from .NET Framework to .NET Core / .NET 8.
CI/CD pipelines
React
PostgreSQL
AI and/or machine learning integrations or image processing

If you are looking for a role of this nature please get in touch for more information.

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy

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.

Careers

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.

Jobs

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.

Careers Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.