Software Developer

Oxford

11 months ago

Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Graduate Data Engineer

Data Engineer

Legal Technologist - Artificial Intelligence & Machine Learning

Fully funded 4-year PhD Studentship in Chemistry - Machine Learning-Accelerated Quantum Chemica[...]

Senior Data Scientist (Applied AI)

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.

Industry Insights

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

Feb 3, 2026

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.

Jan 29, 2026

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.

Jan 24, 2026

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.