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

Apply Now

Senior Software Engineer

Complexio
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer - Data Engineering Team

Senior Data Engineer - Scala/Spark

Senior Machine Learning Engineer

Senior Data Engineer I

Senior Data Engineer I

Senior Data Engineer in London - Zenobē

Description

Complexio is Foundational AI works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently.

Complexio is a joint venture between Hafnia and Símbolo, in partnership with Marfin ManagementC Transport MaritimeTrans Sea Transport and BW Epic Kosan

 

About the job

As a Senior Software Engineer with broad expertise, you will be a vital part of our team, developing innovative applications that leverage AI capabilities to enhance user experiences and streamline communication. You will work alongside a talented team of Data Scientists, DevOps, Product Managers, Business Analysts experts and play a key role in designing and implementing specialised AI assistant technology.

Requirements

You have

  • Excellent problem-solving and technical skills.
  • Strong communication and collaboration skills, with the ability to work in a team.
  • Interest and experience in working on early-stage software and a wide range of tasks.
  • Proven experience using technology and how it helped you build a lasting product.

Key Responsibilities

  • Collaborate with cross-functional teams to develop key features and applications, including product managers, designers, and other engineers.
  • Design, develop, and maintain both front-end and back-end components of web applications, ensuring a seamless user experience.
  • Benchmark, analyze, and optimize web applications for scalability, security, and responsiveness.
  • Troubleshoot and resolve software defects and issues, ensuring high software quality.
  • Participate in code reviews, documentation, and the development of coding standards.

Requirements

  • Preferred M.Sc or Ph.d degree in Computer Science or a related field.
  • 7+ years of experience in Software development
  • Work experience using both compiled languages (Rust, Ocaml, Golang, Java, C#) or dynamic languages (Javascript, Python, Ruby)
  • Experience building web applications or desktop applications technologies such as Electron, tauri, React, Vue.js
  • Familiarity with CI/CD principles and technologies, including experience with GitHub Actions or similar.
  • Experience working with Relational and NoSQL databases such as Postgres, Redis, Neo4j, Milviousor MongoDB, and a good understanding of data consistency tradeoffs.
  • Proven Knowledge of cloud platforms (e.g., AWS, Azure, or GCP).

A bonus

  • Experience with graph databases such as neo4js, pinecone or milvious or similar.
  • Experience building native desktop apps.
  • Experience with NLP libraries and frameworks, such as spaCy, or Transformers.
  • Familiarity with machine learning concepts and the ability to work with NLP datase

Benefits

Remote - Must be within 2-3 hours of CET

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 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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.