Java Engineer

Investigo
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Java Data Engineer

Senior Java Data Engineer

Senior Data Engineer - Java/Scala on AWS Analytics Platform

Senior Software & Data Engineer (Java/Python)

Senior Software Engineer & Data Engineer (Java/Python)

Senior Lead Data Engineer (Java/Python) - Cloud & AI

Job description

Role: Java Engineer

Location: London (2x per week)

Calling all java engineers with experience in Java, Scala and ideally commercial and enterprise applications!

We are currently supporting aleading SaaS provider,based in London, who are on an exciting journey of transformational growth. As a business, they are a product focused company, offering a cutting-edge hybrid observability platform powered by AI.

Their innovative platform integrates AI and Machine Learning into every layer, empowering modern enterprises to achieve unparalleled operational visibility and predictability across their IT environments. This supports in enhancing IT team efficiency, reducing alert fatigue, and proactively identifying trends.

They are looking for a Java Engineer with the following skillset:

  • Over 6 years of experience in software development, particularly incommercial or enterprise environments.
  • More than 4 years of focusedJava development, dedicated to producing clean, maintainable, and thoroughly tested code, while actively pursuing modern software engineering methodologies.
  • Proficiency inKotlin and/or Scala programming.
  • Experience in designing and scaling machine learning applications.
  • Familiar with testing frameworks such asJUnit.
  • Solid understanding ofRESTful APIs and microservices architecture.
  • Strong ability to collaborate with development teams and foster reliable, effective relationships among team members.
  • Exceptional communication skills, both written and verbal, with a proven ability to work with cross-functional teams, including Support Engineering, Tools, and Product.
  • Bachelor's degree or higher in Computer Science or a related discipline.

The team consists of 10 high performing individuals which is in the early stages of its growth phase. They have a brilliant culture of collaboration, peer reviewing and development.

If this seems like a strong fit for you, please apply with your up-to-date cv.

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.

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.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.