Senior Full Stack Engineer

Inephany
Greater London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - AWS, Consulting

Senior Data Scientist

Lead Software Engineer (Machine Learning)

Data Scientist

Inephany is building revolutionary foundation models that enhance the efficiency and intelligence of other AI systems. By rethinking the way models learn and adapt, we are enabling a new era of faster, smarter, greener, and more cost-effective AI training and deployment. Join us in shaping the future of AI optimisation.


About the Role


We're seeking an experienced Software Engineer to build and maintain a production-grade API that serves machine learning models. You'll be responsible for the entire infrastructure stack, from API design to deployment and scaling, working with cutting-edge ML technologies and cloud-native architectures. You’ll work at the intersection of ML operations, distributed systems, and cloud infrastructure to deliver robust solutions that power our AI capabilities.


Key Responsibilities


  • Design, develop, and maintain scalable APIs using FastAPI and Python
  • Implement and optimise ML model serving infrastructure for production environments
  • Collaborate with ML engineers to optimise model deployment and training pipelines
  • Ensure high availability, performance, and security of the API infrastructure
  • Participate in code reviews and maintain high quality coding standards
  • Develop and maintain a modern web portal for analytics 
  • Drive best practices for system reliability and scalability


Required Skills & Experience


  • 5+ years of experience in software development, with at least 3 years focusing on api platform development of distributed systems (microservices architecture)
  • Strong proficiency in Python and FastAPI or similar Python web frameworks
  • Proven track record of building and maintaining high-traffic production systems with Kubernetes and Terraform
  • Proven experience with frontend development using React/Angular/Vue.js
  • Solid understanding of ML model deployment and serving in production


Preferred Qualifications


  • Deep experience with PyTorch, and Tensorflow or JAX
  • Expertise in big data processing frameworks, stream processing, and real-time analytics (Apache Hadoop Ecosystem e.g.)
  • Multi-cloud experience (AWS, GCP, Azure)


What we offer


  • Highly Competitive salary
  • Impactful Work
  • Be part of a groundbreaking journey in developing highly novel RL-based technologies where your work will directly shape the future of the company and the industry.
  • Learning and Growth
  • Opportunities to work on cutting-edge technologies.
  • Hands-on experience in solving complex, impactful engineering and scientific challenges.
  • Access to mentorship from experienced founders and advisors.
  • Equity/Stock Options
  • A significant stake in the company, offering the chance to share in our success as we grow.
  • Ownership and Autonomy
  • Freedom to take ownership of projects and innovate without red tape.
  • A voice in shaping the company's engineering culture and technical direction.
  • Collaborative Environment
  • A small, tight-knit team where your contributions are valued.
  • A culture that fosters creativity, learning, and mutual support.
  • Career Advancement
  • The potential to grow into a leadership role as the team expands.
  • Exposure to multidisciplinary challenges in a fast-moving environment.
  • Mission-Driven Work
  • An opportunity to solve meaningful, real-world problems with high societal and technological impact.
  • Perks
  • Office perks, e.g. coworking space, snacks, and regular team events
  • Budget for personal development, such as attending conferences or courses.
  • Hardware/equipment of your choice.

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.