Graduate Software Developer

Reply
Sheffield
1 year ago
Applications closed

Related Jobs

View all jobs

Junior / Graduate Data Scientist

Graduate Machine Learning and AI Engineer

Data Analyst - Farming Operations

Trainee Data Analyst

Data Analyst - Farming Operations

Trainee Data Analyst/Support – Training Course

Graduate Software Developer

About Sprint Reply:
Sprint Reply is the Reply Group company specialised in Intelligent Process Automation. Our mission is to create automation platforms capable of solving concrete business problems, supporting our customers in the transformation towards the Intelligent Enterprise and the adoption of a scalable and efficient Digital Workforce. In Sprint Reply we combine an execution oriented engineering approach with strong experiences on 4 technology families, Robotic Process Automation, Computer Vision & ICR, AI & Machine Learning and Process Mining, dedicating constant attention to R&D on various Artificial Intelligence issues.

Role overview:
You'll be instrumental in transforming and optimising our clients' business processes with the latest automation technology. As a software developer at Sprint, you'll develop new systems and applications on the basis of detailed specifications which will include designing, coding and debugging of software. You'll love our e xtensive training & learning opportunities which will include peer-to-peer learning, industry certifications, Hackathons, Code Challenges and Lab Camps. Sprint Reply will encourage your career growth and we will give you the tools and guidance to achieve subject matter expertise and management capabilities. Come join our team in Sheffield. You'll love Reply's d iverse and vibrant work environment - you'll be surrounded by peers who share your passion for technology and you'll have an opportunity to work on projects with some of the best brands in the world.

Responsibilities:

  • You'll create technical design specifications and will then develop software solutions across various client projects, mainly in the area of intelligent automation and chatbot technology
  • Supporting the general delivery process on software projects and helping the customer with on-site support activities
  • Understanding and analysing a client's organisation/operation and requirements in order to produce recommendations, technical design documents and time/cost estimates
  • Work with other digital disciplines to understand user needs and what needs to be built, identifying, creating and applying software development and security standards and processes as required.
  • Write, amend, refactor and document code to build moderately complex programs / components / scripts whilst applying agreed modelling techniques, standards, patterns and tools.
  • Use security controls to build secure products and engineer to mitigate security threats. Handle information with confidentiality and integrity, work with others to ensure compliance and information assurance. Contribute to the identification and mitigation of risks and threats.

About the candidate:

  • You have completed a Bachelor's degree (2.1 or higher) Computer Science or in a Technology-related field
  • You are able to present and deliver outcomes which are compelling, accurate, and engaging both to clients and in support of our business development and work winning activities
  • Initial knowledge of agile development - including understanding user needs and building proof of value Alphas
  • You already have advanced knowledge of software languages like Java and Python, ideally with initial exposure to Node.JS and React.JS
  • Keen interest in intelligent automation and in advanced chatbot technology
  • Whilst you'll love our flexible hybrid working philosophy, you're open to business travelling as well as to working across different client projects

Reply provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law.

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.