Senior QA Engineer

CLBPTS
UK
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (SC Cleared)

Senior Data Engineer (SC Cleared)

Senior 3D Computer Vision Engineer

Senior 3D Computer Vision Engineer

Senior Engineer, Machine Learning United Kingdom, London

Principal Data Engineer

Description Oracle Digital Government GBU is on a mission to support national governments on their digital transformation journey. We are looking for a Senior Testing Engineer to join our team of highly skilled Software, Data scientists to invent, design, and build highly stable and performant software. You will be responsible for validating the quality of deliverables, fixes for issues reported by customers as well as improving the overall quality and stability of our products, evolving existing and building automation. You will work independently across the entire product suite ensuring the quality and reliability of our applications through comprehensive testing strategies, including unit, integration, regression, and more. Key Responsibilities: Tool and Paradigm Development: Design and develop new testing tools and frameworks tailored to our integration and web based Apps Innovate and implement new paradigms for effective and efficient testing processes. Build and Deploy Pipeline: Integrate testing processes seamlessly into the CI/CD pipeline. Ensure that testing tools and frameworks support the automation of build, test, and deployment processes. Testing Strategy: Develop and maintain comprehensive testing strategies covering all test types, including unit, integration, regression, performance, and more. Ensure thorough testing of microservices and their interactions with Java applications. Quality Assurance: Conduct rigorous testing to identify and address defects early in the development process. Implement best practices for test planning and test case management, defect tracking, and reporting. Collaboration and Mentorship: Work closely with developers, product managers, and other stakeholders to ensure quality throughout the development lifecycle. Provide mentorship and guidance to other test engineers and developers on testing best practices. Problem Solving: Identify, analyse, and resolve complex testing issues creatively and effectively. Exercise good judgment in solving day-to-day testing challenges independently. Your Qualifications & Skills: BS/MS in computer science, engineering or equivalent 5 years of experience in software testing and quality assurance, particularly with high availability applications, and APIs. Proven ability to design and implement new testing tools and frameworks. Strong understanding of CI/CD pipelines and their integration with testing processes. Strong knowledge and experience working with Selenium for testing Knowledge of Oracle GAT testing framework is a plus. Knowledge of REST end point testing, Knowledge of using REST end point tools like Postman and SOAP UI a plus Expertise in a variety of test types, including unit, integration, regression, performance. Hands-on experience with PL/SQL, Python is a huge plus Excellent problem-solving skills and a proactive approach to addressing testing challenges. Ability to work independently and collaboratively across teams. Excellent communication and interpersonal skills. Office and company language is English. Career Level - IC4 Responsibilities As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.

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.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.