Software Engineer

Trafford Park
8 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer - Data Engineering

Software Engineer - (Machine Learning Engineer) - Hybrid

Software Engineer - AI MLOps Oxford, England, United Kingdom

Software Engineer III- Data Engineer, Java/Python

Software Engineer - Machine Learning

Software Engineer / Data Engineer

We are looking for an ambitious Software Developer or Software Engineer to join an established Green Energy business to develop a unique Azure based energy monitoring System for large industrial business across the UK. This office based in our Manchester head office, in order to absorb yourself in the business across all areas.
About the Role
We are seeking an experienced In-House Software Developer to manage, maintain, and enhance our Azure-based energy monitoring system. This role is integral to ensuring business continuity while also leading the development of new features and system enhancements. The successful candidate will work closely with internal teams to understand business needs and translate them into technical solutions.
Responsibilities

  • Maintain and manage the existing Azure-based energy monitoring system.
  • Develop and implement new features and add-ons to improve system functionality.
  • Ensure system security, reliability, and optimal performance.
  • Troubleshoot issues and provide technical support to internal teams.
  • Collaborate with stakeholders to understand requirements and propose solutions.
  • Implement best practices in software development, including code quality, version control, and documentation.
  • Keep up to date with emerging technologies and industry best practices to improve system performance and capabilities.
    Qualifications & Experience
  • Proven experience as a Software Developer or Software Engineer.
  • Strong experience with Azure cloud services, including app services, databases, and security protocols.
  • Proficiency in programming languages such as Python, JavaScript, C#, or equivalent.
  • Experience with SQL and NoSQL databases.
  • Strong problem-solving skills with the ability to work independently and collaboratively.
  • Experience with Agile development methodologies and version control systems such as Git.
    Preferred Skills but not essential to have
  • Experience with front-end development (React, Angular, or Vue.js).
  • Knowledge of machine learning or AI-powered analytics.
  • Familiarity with IoT and energy monitoring systems is a plus.
  • Understanding of energy management systems and sustainability practices.
    Benefits
  • Competitive salary Plus personal Bonus and benefits package.
  • Opportunity to work on cutting-edge technology in the renewable energy sector.
  • A collaborative and innovative work environment.
  • Professional development and training opportunities.
    You will be joining a boutique, sustainable engineering and design studio specializing in net-zero strategies through the execution of renewable energy projects, energy management systems, and carbon credit procurement. Our work focuses on embedding sustainability within businesses, ensuring responsible and sustained development in a carbon-constrained future.
    We continuously innovate and invest in research and development, partnering with major universities and integrating cutting-edge technologies into our services. Our energy monitoring system is a core component of our operations, helping clients track and optimize their energy usage in real time.
    For more information or an immediate interview please forward your CV and we will organise a time to suit you to have a call to see if in the ball park for you

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.