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

Apply Now

Java Scala Developer

Workonblockchain
Glasgow
9 months ago
Applications closed

Related Jobs

View all jobs

AWS Data Engineer

Manager, Data Engineering

AI Sr. Data Engineer

Senior Machine Learning Engineer - Search

Sr. Data Engineer - Lenovo AI Technology Center

AI Data Engineer - Lenovo AI Technology Center

To succeed as a Java Scala Developer in our team, I need you to have experience in Scala and Java programming. Proficiency in testing and mocking frameworks such as JUnit, Mockito, and PowerMocks is essential. You should also be familiar with development tools like IntelliJ IDEA, Maven, TeamCity, Jira, GIT, and JUnit. Basic SQL skills are required. Additionally, having skills in AWS, Spark, and Big Data would be highly valued.

In this role, I expect you to design, develop, and improve software using various engineering methodologies to deliver business, platform, and technology capabilities for our customers and colleagues. You will be responsible for the development and delivery of high-quality software solutions using industry-aligned programming languages, frameworks, and tools, ensuring that the code is scalable, maintainable, and optimized for performance. You will collaborate cross-functionally with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration with business objectives. Participation in code reviews, promoting a culture of code quality, and knowledge sharing within the team is essential. Staying updated on industry technology trends and actively contributing to technology communities within the organization to foster technical excellence is also crucial. I expect you to adhere to secure coding practices, implement effective unit testing, and ensure that your work aligns with the rules, regulations, and codes of conduct established in our organization.

Description

This role will be based out of our new Glasgow Campus. Your work will have an impact on related teams, and you will partner with other functions and business areas to take responsibility for the outcomes of team operations and activities. I encourage you to escalate any breaches of policies or procedures and take ownership of embedding new policies adopted for risk mitigation. You'll be expected to advise and influence decision-making within your area of expertise while managing risks and strengthening controls in relation to your responsibilities. Maintaining an understanding of how your sub-function integrates with the overall function, as well as knowledge of our organization's products, services, and processes, is important. You will also need to demonstrate evaluative judgement, resolve problems through analysis, and communicate complex or sensitive information effectively. Networking with stakeholders both inside and outside the organization is part of your role as well. Finally, I expect all colleagues to demonstrate the values of Respect, Integrity, Service, Excellence, and Stewardship, alongside embodying our organizational mindset of Empowerment, Challenge, and Drive.

#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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.