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

Apply Now

Senior Software Engineer (Backend)

Capsa AI
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer - Data Engineering Team

Senior Data Engineer - Scala/Spark

Senior Data Engineer / Trading Software Engineer, Autobidder

Senior Data Engineer I

Senior Data Engineer I

Senior Data Engineer in London - Zenobē

At a Glance

We are using AI to accelerate due diligence and deepen insights for Private Equity funds. We are hiring a senior software engineer who is comfortable contributing to all layers of the application and developing features end to end.

  • Location: London, UK (Hybrid, In-person 4 days per week)
  • ExperienceRequired: +5 years
  • Remuneration: £75k → £100k + Generous ESOP
  • Visa: Unfortunately, we don’t sponsor visas yet. You must have the right to work in the UK.


About Capsa AI

Empowering Private Equity with Advanced AI – Capsa AI is an operating system that aggregates, structures, and generates insights from company and market data.


Our AI solutions reduce time spent on mechanical tasks and increase returns by analysing vast amounts of data to provide clear, actionable insights. Our vision is to become the leading AI platform for private capital funds, transforming how private investments are analysed and managed.


Our Team and Progress

Our founding team has deep domain expertise in Private Equity and AI. Our CEO, Danyal, has over 6 years of experience in Private Equity and Investment Banking at blue-chip financial institutions such as AEA Investors, Citigroup, and Deutsche Bank. Our CTO, Callum, has over 6 years of experience in Machine Learning and AI, having worked at leading defense companies like QinetiQ and retail tech startups such as Standard AI. The entire team are early stage startup veterans, with a passion for building great products.


Just one year after our December 2023 founding, we are already generating revenue, serving top-tier PE funds managing over £30 billion across the US, UK, and Germany. Furthermore, we’ve raised over £1.8 million in funding from prominent fintech venture capitalists and private equity angels, underscoring the confidence of industry leaders in our vision and potential.


Our Philosophy

  • Small team: Small talented teams outperform large and slow-moving companies. We avoid bureaucracy, keep meetings to a minimum and focus on creating value.
  • Simple where possible:We are passionate about new technology (in particular Machine Learning and AI), but we are more passionate about solving problems for our customers. We strive to find the best solution, be it cutting-edge or old-school.
  • Customer obsessed:We take every opportunity to talk to our customers. We obsess over their problems and work every day to make them happy.


About the Role

We are looking for a senior software engineer who wants to help shape the future of private equity and our company. As an early stage engineer you will:

  • Work directly with our founding team.
  • Help design our application architecture.
  • Ship features that our users care about, wherever they are in the stack.
  • Participate in strategy and product ideation sessions, influencing our product roadmap.

Working at Capsa AI will be hard work, it will be messy and at times it will be stressful. However, you will:

  • Experience the process of taking the company from 0.5 to 1.
  • Shape the company's vision and will have a direct impact on its success.
  • Have the opportunity for fast career growth.
  • Have the opportunity to participate in the upside of an ultra-growth venture.
  • Have fun


Apply if:

  • You have experience with our stack: Python, FastAPI, Postgres, SQLAlchemy, Alembic, Typescript, React, LlamaIndex / LangChain, PyTorch, HuggingFace, OpenAI, Docker, Azure, 
  • You have taken entire products or features from ideation to deployment and you’ve measured their impact.
  • You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer.
  • You thrive in a fast paced environment.
  • You like to take ownership and work independently.
  • You are excited about joining an early-stage venture.


Don’t apply if:

  • You want to work on a single layer of the application.
  • You prefer to work on well-defined problems.
  • You need clear, pre-defined processes.
  • You prefer a low-pressure environment.


Additional Perks

  • Private healthcare insurance. 
  • One month per year remote working.
  • Budget for setting up your Home-Office.

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.