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 hu…
Health & Safety Compliance Manager Details Hybrid: onsite across the managed portfolio as needed, with regular time in the London office. Reports to: the Director of Operations. Salary: £45,000-£55,000 About the Role We'…
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Senior Manager, Facilities Operations, International (R5600)
London, England, United Kingdom · On-site
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Global Cybersecurity Senior Manager – Program Management
London, England, United Kingdom · Hybrid
Senior
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Prisoner Custody Officer - New Southgate Vehicle Base
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Technology Consultant, Advanced Communication Technologies
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$45k–$65k/yr
Mid level
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Corporate and Workplace Solutions, Workplace Experience – Event Management, Analyst, London
London, England, United Kingdom · On-site
Entry level$32B raised
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$146k–$149k/yr
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Lead Customer Success Engineer - Data & AI Security
London, England, United Kingdom · Hybrid
Senior+$2.5B raised
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Central Technology Center - 3rd Shift Operator, Full-Time
London, England, United Kingdom · On-site
Entry level
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You will build and deploy production-grade machine learning software and infrastructure while collaborating with cross-functional teams to solve critical client challenges. Additionally, you will lead technical scoping and architectural decisions to ensure the feasibility and impact of high-stakes AI solutions.
Requirements
Candidates must have strong Python skills and experience operationalizing machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. You should also possess hands-on experience with cloud platforms, containerization tools like Docker and Kubernetes, and excellent communication skills for stakeholder management.
Full job description
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
Our National Security and AI Safety business unit is dedicated to advancing the responsible development and deployment of AI in support of national security and global stability. From strengthening mission-critical capabilities across national security and intelligence, to working with frontier labs to provide robust AI safety red teaming and evaluation, we work at the frontier of high-stakes, high-impact missions.
We understand that powerful AI systems bring both transformative opportunities and complex risks and we are proud to partner with Government and the biggest tech organisations in the world to ensure AI is not just transformative but is also secure, trustworthy and safe for all.
Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Developed Vetting (DV) and willing to work on site with our clients from time to time.
About the role
Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients.
You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems.
What you'll be doing:
Building and deploying production-grade ML software, tools, and infrastructure.
Creating reusable, scalable solutions that accelerate the delivery of ML systems.
Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges.
Leading technical scoping and architectural decisions to ensure project feasibility and impact.
Defining and implementing Faculty’s standards for deploying machine learning at scale.
Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.
Who we're looking for:
You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.
You possess strong Python skills and solid experience in software engineering best practices.
You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security.
You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale
You are comfortable with core ML concepts, including probability, statistics, and common learning techniques.
You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders.
You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutions
Our Interview Process
Talent Team Screen (30 minutes)
Pair Programming Interview (90 minutes)
System Design Interview (90 minutes)
Commercial Interview (60 minutes)
#LI-PRIO
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.
We help our clients use cutting edge AI to improve the performance of their business.
Industry
Technology, Information and Internet
Company size
201-500 employees
Founded
2014
Headquarters
London, England
LinkedIn followers
44,268
Total funding
$53M
Founded in 2014, Faculty is one of Europe’s leading applied AI companies. Our suite of AI services and products spans everything organisations need to access frontier AI and get it into the hands of their frontline teams to support their most important work. Widely recognised as a leader in AI safety, we work closely with the world’s leading AI labs, such as OpenAI and Anthropic, to ensure their latest models are safe, human-led and explainable.
Our expertise spans working with Boards, leadership teams and governments to develop a robust AI strategy, designing, building and implementing high-performing AI solutions, and equipping organisations with the knowledge and skills they need to thrive in the AI era. Our PhD-heavy team of deep AI experts has delivered hundreds of real-world AI projects to improve critical public services and drive sustained economic returns across every sector of the economy. Headquartered in London, Faculty remains founder-led and has since raised over £40m from investors including The Apax Digital Fund, LocalGlobe and GMG Ventures.
Offices: 160 Old Street, 5th Floor, London, England EC1V 9BW, GB
Data ScienceArtificial IntelligenceAIMachine LearningAI StrategyAI GovernanceAI SafetyAI Training & Upskillingand AI Solution DevelopmentElectronics
How many Security & Safety jobs are open in London, United Kingdom right now?
There are currently 2,109 open security & safety positions in London, United Kingdom listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Security & Safety roles in London, United Kingdom?
Companies currently hiring include Amazon, JLL, Ward Security, Wise, HSBC, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Security & Safety jobs in London, United Kingdom?
Yes — 1054 of the 2109 open security & safety positions offer remote or hybrid work (143 remote, 911 hybrid).
How do I apply for Security & Safety jobs in London, United Kingdom?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.