Senior Cloud Engineer

London, United Kingdom
6 months ago
Job Type
Permanent
Work Location
Hybrid
Seniority
Senior
Posted
14 Nov 2025 (6 months ago)

Why Faculty?


We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.

We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.

Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.

AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

About the team

Bringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies.

We partner with major pharma firms, academic research centres and MedTech start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all.

About the role

We're looking for a Senior Cloud Engineer to build the backbone of applied artificial intelligence for our customers. You will design, build, and deploy robust, secure, and scalable cloud infrastructure that powers cutting-edge data and machine learning workflows. Working in a cross-functional team, you'll solve complex challenges and empower our data scientists and ML engineers to deploy their work effectively, shaping the future of AI solutions.

What you'll be doing:

  • Building robust, secure, and scalable cloud infrastructure for AI and ML workflows.

  • Partnering with technical and non-technical stakeholders, from initial idea generation through to implementation and shipping.

  • Enabling Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards, and reusable code repos.

  • Proactively identifying and recommending new ways customers can leverage cloud infrastructure to solve their key challenges.

  • Creating and maintaining reusable, company-wide libraries and infrastructure-as-code.

  • Researching and integrating the best open-source technologies to enhance Faculty's infrastructure capabilities.

Who we're looking for:

  • You are pragmatic and outcome-focused, balancing the big picture with the details to execute complex projects in the real world.

  • You think scientifically, always testing assumptions, seeking evidence, and looking for opportunities to improve how things are done.

  • You have a drive to learn, constantly exploring new technologies and novel applications for existing tools.

  • You possess deep experience with both Azure and AWS as well as Infrastructure as Code, especially Terraform.

  • You are experienced in building and deploying containerized solutions using Docker and Kubernetes, supported by strong CI/CD and GitOps practices.

  • You possess proficient knowledge of Networking and Cloud Security

  • You excel at working directly with clients and stakeholders, confidently handling requirements gathering, technical planning, and scoping.

The Interview Process

  1. Talent Team Screen (30 minutes)

  2. Pair Programming Interview (90 minutes)

  3. System Design Interview (90 minutes)

  4. Commercial Interview (60 minutes)

Our Recruitment Ethos

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

Some of our standout benefits:

  • Unlimited Annual Leave Policy

  • Private healthcare and dental

  • Enhanced parental leave

  • Family-Friendly Flexibility & Flexible working

  • Sanctus Coaching

  • Hybrid Working

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Senior Cloud Site Reliability Engineer

Wayve London, United Kingdom
On-site

Senior Software Engineer, Cloud, Simulation

Wayve London, United Kingdom
Hybrid

Senior Software K8S Engineer

PLN 221,250 – PLN 383,500 pa Remote

Senior Software K8S Engineer

NVIDIA Germany
PLN 221,250 – PLN 383,500 pa On-site

Senior Software K8S Engineer

£221,250 – £383,500 pa Remote

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.