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

Apply Now

Senior Software Engineer - Kotlin - Hybrid, London

Oliver Bernard
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer - Data Engineering Team

Senior Software Engineer, Machine Learning

Senior Software Engineer, Data & Machine Learning

Senior Software Engineer, AI/Machine Learning - EA SPORTS FC

Senior Software Engineer, Machine Learning Services (MLS)

Senior Software Engineer, Machine Learning - EA SPORTSTM FC

Senior Software Engineer - Kotlin - Hybrid, London


Kotlin / Java / Typescript / React

Salary £80,000 - 120,000 base + additional package DOE

Offices based in Central London - Flexible hybrid working


We are partnered with a fast-growing business with expertise in crafting cutting-edge solutions at the intersection of data, AI, machine learning, data engineering, and software development. On a mission to empower tech companies better understand and connect with their people, customers, and citizens. They specialise in designing and building bespoke data platforms, developing unique software products, and deploying intelligent systems that transform data into actionable insights.


The Role:

As a Senior Software Engineer, you will play a key role in developing sophisticated, scalable solutions across the full technology stack, from frontend interfaces and application backends to data pipelines and infrastructure. You'll work closely with internal teams and clients to design, build, and support the delivery of these solutions, ensuring they meet both technical and business requirements.


Technical Requirements:

  • Develop backend services, frontend web interfaces, data engineering solutions, and infrastructure for a highly scalable marketing platform.
  • Extensive experience with JVM languages (preferably Kotlin or Java).
  • Design APIs, applications, and infrastructure, documenting technical requirements and designs for client projects.
  • Oversee end-to-end delivery, including build automation, deployment, and operations.
  • Collaborate with client stakeholders and team members to gather business requirements and translate them into technical specifications.
  • Work within an Agile delivery team, engaging in both remote and in-person collaboration with stakeholders.


Salary £75,000 - 120,000 base + additional package DOE

Offices based in Central London - Flexible hybrid working

Kotlin, Java, Typescript, React, AWS


Please apply below if this is of interest.

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 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.