Senior Software Engineer (Basé à London)

Jobleads
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer

Senior Software Engineers

MLOps Senior Engineer

Software Engineering Manager - Data Operations

Senior Software Development Engineer (Server Side) for BestX product, AVP

Senior C++ Software Engineer, Stats, Maths

About the Team

At Albatross, we are on a mission to revolutionize user engagement. Through advanced AI-driven personalization, we generate inspiring user experiences that increase conversions, and loyalty. Our founders are recognized thought-leaders with a proven track record of delivering personalization solutions at leading tech companies. We are at an exciting stage, having raised significant funding to develop the most advanced recommendation platform. We obsess over our customers and value excellence, ownership, speed, and above all, delivering results. Being part of Albatross means continuously learning, innovating, shaping our products, and directly impacting users. Come and join us.

About the Role:

As a Senior Software Engineer at Albatross, you will play a critical role in designing, developing, and maintaining our backend infrastructure. You will collaborate with a team of engineers and data scientists to build scalable and efficient solutions that drive our AI personalization platform. Your work will directly impact the development of core features and the optimization of real-time user experiences across a range of industries, from eCommerce to online media.We highly value engineers who not only possess strong technical abilities but also demonstrate excellent communication skills and business acumen. You will frequently interact with cross-functional teams, translate business requirements into technical solutions, and contribute to strategic decisions that shape our product roadmap.

Key Responsibilities:

  • Autonomously design and develop robust backend systems using Python and TypeScript.

  • Work closely with the frontend team using React to ensure seamless integration between backend services and user interfaces.

  • Develop APIs and microservices to support our AI-driven personalization engine.

  • Optimize performance, scalability, and reliability of the backend infrastructure.

  • Collaborate with data science teams to integrate machine learning models into production.

  • Lead and mentor junior engineers, fostering a culture of continuous learning and improvement.

  • Participate in code reviews, ensuring high-quality and maintainable codebases.

  • Communicate effectively with cross-functional teams to align technical efforts with business objectives.

    Provide insights into how backend developments can drive business growth and improve user engagement.

Requirements:

  • 5+ years of experience in backend development, with a strong emphasis on Python and Typescript.

  • Proficiency in React is a plus.

  • Strong experience with building scalable APIs and microservices.

  • Familiarity with cloud infrastructure (AWS, GCP, etc.) and CI/CD pipelines.

  • Experience with database systems (SQL and NoSQL).

  • Solid understanding of software architecture, design patterns, and best practices.

  • Knowledge of machine learning and AI concepts is a bonus but not required.

  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

  • Demonstrated business acumen and the ability to align technical solutions with business goals.

  • Strong problem-solving skills and attention to detail.

  • Experience working in cross-functional teams and contributing to strategic planning.

Why Join Albatross:

  • Work with a passionate and innovative team at the forefront of AI personalization.

  • Be part of a fast-growing startup with ample opportunities for career growth.

  • Flexible work environment with remote work options.

  • Opportunity to shape the future of a cutting-edge AI platform and make a significant impact.

  • Engage in work that directly influences business strategies and outcomes.

If you’re excited about working on challenging problems and building the next generation of AI-driven solutions, we'd love to hear from you!


#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.