Lead Test Engineer

3forge, LLC
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Developer with Data Engineering focus

Senior Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

At 3forge, we are developing the next generation of hybrid application development platforms. As a 3forge Lead Test Engineer, you will be placed in a dynamic environment with state-of-the-art technology and big data use cases, enabling you to develop your skills and learn new technologies. You will be extensively involved with the testing and integration of our software, using both industry standard tools, as well as sophisticated in-house solutions. You will get the opportunity to learn, understand, and create vital test cases for software used by multiple prestigious clients, as well as collaborate with an international team of engineers to ensure that our clients are always receiving the most performant and reliable software.

Responsibilities

  • Writing and improving existing test cases
  • Maintaining and improving our existing CI/CD pipeline
  • Testing new platform features and working with new software and databases
  • Working with engineers and project management to ensure successful projects

Requirements

  • Graduated, or graduating soon, with a STEM degree
  • Experienced with SQL and database systems
  • Self-motivated to accomplish tasks and projects
  • Ability to take ownership of issues and autonomously manage them in a responsive environment
  • The ability to work with a global team
  • Drive to learn new skills and technologies
  • Candidate must be able to work in the UK without requiring any visa sponsorship
  • Experienced with unit testing, and/or integration testing (in any language)
  • Familiarity with Unix, Jenkins, and/or Docker
  • Technical writing ability for documentation

Compensation Package

  • Annual paid sick/leave dates and other staff benefits

Apply for this job

*

Required

First Name*

Last Name*

Email*

Phone*

Resume/CV*

What are your pronouns?

Preferred First Name

How did you hear about 3forge?*

If you heard about us from a friend or family member at 3forge, please enter their full name below.*

Type N/A if not applicable.

Which 3forge office are you primarily interested in being considered for? Please consider the location this job is posted in as this role may not be available in all 3forge office locations.*

Have you previously worked for 3forge or its affiliates?*

Do you now, or will you in the future, need sponsorship from an employer in order to obtain, extend or renew your authorization to work in the country this job is posted in?*

#J-18808-Ljbffr

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.