Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning QA Manager, Strategic Analytics Services

Arch Capital Group
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer – Insurance

Machine Learning Computer Vision Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Lead Data Scientist - Remote

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

Strategic Analytics is a dynamic, growing team at Arch. The team develops innovative predictive models and analytical tools to improve profitability and growth. This position is responsible for leading the design and execution of automated diagnostic test plans in the new MLOps framework to ensure that our services meet the highest quality standards and business requirements. This role requires excellent technical skills, a high degree of problem-solving skills, and a passion for exploring and implementing new technology and processes to improve the QA framework. The team member will be expected to regularly contribute towards the team and organizational goal of continuous process improvement. This role requires thorough communication skills and the ability to work well with others, including internal and external stakeholders.

Job Responsibilities

Test Framework and Communication

Maintains and enhances the MLOps testing framework Suggests improvements of the processes to increase quality of the product and performance of the team Keeps stakeholders updated with testing status and reports Manage product requirements, technical execution plan, and testing objectives

Test Planning and Execution

Leads test planning activities Leads creation and modification of test cases, test data, and automated test scripts Analyze new feature performance against established baselines Manages and coordinates testing process Manages documentation efforts of defects and resolution Collaborate with QA engineers and project leads

Required Skills/Experience

7-9 years of software testing experience. Experience with leading a small team Experience with MLOps frameworks and concepts Thorough understanding of quality assurance with APIs Experience testing APIs and using test automation resources. Experience with Azure Portal, Function Apps, and Databricks Experience shaping automation scripts using automation framework. Strong understanding of SQL and Python, and the ability to use SQL resources to query a database to retrieve data. Meaningful experience with Windows, Web Applications and/or Web Service environments. Thorough experience using JIRA or similar agile resources. Thorough experience with multiple testing resources including HP ALM, HP LoadRunner, Selenium, ReadyAPI and SOAP UI are preferred.

Desired Skills/Experience

Strong experience with SQL databases like Azure SQL and Python Good experience with different testing frameworks HP Unified Functional Testing (UFT), Cypress, and REST Assured frameworks. Strong experience with Python and Databricks

Education

Bachelor’s degree in computer science or equivalent work experience. IT software testing certification. (a plus but not required) IT Agile certification (a plus but not required)

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.