National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Software Engineer (ML Infra)

Adamas Knight
London
5 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineer, Hardware Control

Software Manager

Software Engineering Manager - Machine Learning- Systematic Quant Fund

About the job


Adamas Knight is recruiting for a groundbreaking AI Lab, backed by some of the biggest names in industry, working on building their own proprietary foundation model within the multi-modal domain - text and vision.


With one of the best compute in industry, they are looking for a ML Infrastructure Engineer to join the team.


The Role


As a ML Infrastructure Engineer, you will be instrumental in designing, building, and optimizing the infrastructure that supports their deep learning models. Working closely with the Research Scientist and Engineers, you will be central to creating robust machine learning pipelines, managing computational resources, and automating workflows, enabling our team to innovate and deploy AI models at scale.


You will:


  • Design and Optimize ML Pipelines: Build and maintain end-to-end machine learning pipelines, including data pre-processing, model training, evaluation, and deployment automation.
  • Infrastructure Management: Develop and manage scalable cloud-based and/or on-prem infrastructure to support the execution of machine learning experiments and model training (e.g., AWS, GCP, Azure, Kubernetes, Docker).
  • Model Deployment: Work closely with AI researchers to ensure seamless deployment of machine learning models into production environments, focusing on scalability, reliability, and performance.
  • Automate Workflow and Resource Management: Implement tools and automation scripts to optimize the use of computing resources, including the management of GPU/TPU resources and distributed training infrastructure.
  • Monitoring and Scaling: Build monitoring solutions to track performance, usage, and reliability of ML models and infrastructure, ensuring that systems scale rapidly as needed.
  • Continuous Improvement: Stay up to date with the latest trends and advancements in machine learning infrastructure and MLOps, and apply them to enhance team productivity and system performance.


Benefits/Perks


Attractive Compensation:Enjoy a competitive salary and the opportunity to invest in your future with equity in the company

Comprehensive Benefits:Access private healthcare, a gym allowance, and catered lunches to support your well-being

Work-Life Balance:Benefit from flexible working hours that fit your lifestyle



At Adamas Knight, we are committed to creating an inclusive culture. We do not discriminate based on race, religion, gender, national origin, sexual orientation, age, veteran status, disability, or any other legally protected status. Diversity is highly valued, and we encourage applicants from all backgrounds to apply.

National AI Awards 2025

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 Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.