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

Apply Now

Founding Platform Engineer / Site Reliability Engineer

Capsa AI
London
1 year ago
Applications closed

Related Jobs

View all jobs

Postdoctoral Data Scientist Engineer for the Quantitative Neuroradiology Initiative

Postdoctoral Data Scientist Engineer for the Quantitative Neuroradiology Initiative

Senior Data Scientist

Founding Machine Learning Engineer / YC Start-up / £140,000 - £160,000

Founding Machine Learning Engineer / YC Start-up / £140,000 - £160,000

Machine Learning Engineer

At a Glance

We are using AI to accelerate due diligence and deepen insights for Private Equity funds. We are hiring a Platform or Site Reliability Engineer who is comfortable contributing across all layers of the application and contributing to feature development.

  • Location: London, UK (Hybrid, In-person at least 3 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.


Just one month after our December 2023 founding, we launched our product with PE funds managing over $9 billion. Five months later, we're revenue-generating, serving leading PE funds managing over $30 billion across the US, UK, and Germany. We have also raised a 7-digit seed round with leading VCs and angel investors.


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 founding platform or site reliability engineer, with experience contributing across the rest of the stack, who wants to help shape the future of private equity and our company. As a founding engineer you will:

  • Work directly with our founding team.
  • Talk to internal / external stakeholders often and ship features they care about, wherever they are in the stack.
  • Build out our microservices architecture.
  • Support the usage and deployment of commercial, open source, and proprietary machine learning models.
  • Support the team in achieving SOC 2 compliance.
  • Build out our engineering team, alongside our CTO.
  • Participate in the strategy and product ideation session, 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 0.1 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: Azure / AWS / GCloud, K8s, Terraform, Helm, Docker, Postgres, Python, FastAPI, LlamaIndex / LangChain, OpenAI, Typescript, React.
  • You have a deep understanding of security and compliance.
  • You think infrastructure is best maintained as code.
  • You like to understand the domain, the problem and the customer.
  • You like to work 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. 
  • Global WeWork All Access Membership.
  • 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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.