Lead Machine Learning Engineer, Faculty
1+ day a week in office
Making AI real
Open for applications
Making AI real
501-1000 employees
Open for applications
1+ day a week in office
501-1000 employees
Company mission
To help organisations across the public and private sectors use AI to understand more deeply, make better decisions and act faster.
Role
Who you are
- Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch
- Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques
- An exposure to and eagerness for customer-facing work gauging the commercial value of projects and advising clients on technology strategy
- Experience in Software Engineering including programming in Python
- Proven experience with cloud architecture, security, deployment, and open-source tools on at least one major cloud platform, preferably AWS
- Demonstrable experience with containers and specifically Docker and Kubernetes
- Experience growing the technical capabilities of a team; adopting a caring attitude towards the personal and professional development of other engineers and an enthusiasm for nurturing a collaborative and accomplished engineering culture
What the job involves
- This role is situated within our Applied AI consultancy, serving clients in our Government & Public Services business unit working on projects across a wide range of areas incl. National Security, Education, Public Services and the NHS
- As a Lead Machine Learning Engineer, you’ll split your time between designing, building, and deploying production-grade software, infrastructure, and MLOps systems and offering leadership and mentorship to more junior engineers on the team
- Because of the potential to work with our National Security and Policing clients, you will need to be eligible for Security Clearance and you may also be required to travel to locations outside of our London office
- Working in our Government and Public Services business unit you will be helping our customers solve a broad range of high-impact problems in the Government and Public services space - examples of which can be found here
- You are engineering-focused, with a working knowledge of or keen interest in taking cutting-edge ML applications into the real world. You’ll develop new methods and champion best practices for managing AI systems deployed at scale and collaborate with both technical and non-technical stakeholders to deploy ML to solve real-world problems
- The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:
- Building software and infrastructure that leverages Machine Learning
- Creating reusable, scalable tools to enable better delivery of ML systems
- Working with our customers to help understand their needs
- Working with data scientists and engineers to develop best practices and new technologies; and
- Implementing and developing Faculty’s view on what it means to operationalise ML software
- Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems
- Leading on the scope and design of projects
- Offering leadership and management to more junior engineers on the team
- Providing technical expertise to our customers
Salary benchmarks
Our take
Faculty work with companies such as Samsung, the BBC, and Just Eat to figure out what they could do with AI, and then help them to do it through implementing the right skills, strategy and software.
The team have developed a platform with large cloud computing space for accessing large amounts of data usable to design and test AI models. As businesses realise the importance of using data to drive growth and stay competitive, Faculty have focused on making AI real through real world deployments and aim provide data to organisations so that they can make better decisions.
Faculty has worked with clients in a range of different industries, including healthcare, retail, government and energy. They are just one of the many companies utilising AI, but it’s their ability to work alongside organisations and apply the findings that will really help them to succeed.
Steph
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
35% female employees
19% employee growth in 12 months
Company
Employee endorsements
Autonomy
"People here get a lot of trust to figure things out. They also get the chance to earn a lot of responsibility at a relatively early stage in their..."
Funding (last 2 of 3 rounds)
May 2020
$39.4m
SERIES A
Nov 2019
$10.5m
SERIES A
Total funding: $51.9m
Company benefits
- Hybrid working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty. We provide you with all you need to work from home, including a laptop, keyboard, chair…even Sony headphones!
- Equity, we want you to benefit from Faculty’s growth and success
- Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family
- Fantastic private health, optical and dental cover, for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions
- Access to mental health coaching with Sanctus
- Lunch weekly, and more fruit, drinks and snacks than you could ever eat (for office-based employees)
- We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime
Company values
- Seeking truth - We ask ourselves and each other the difficult questions, and make sure the best idea always wins
- Execute pragmatically - We focus on what’s important, make decisions fast, and adapt as needed
- Foster talent - At its core, Faculty is about fostering talent. It’s deeply ingrained in our DNA and we give our people the support and time they need to be the best they can be
- Invert, always invert - We treat nothing as set in stone, and constant seek new ways to do things better
Company HQ
Old Street, London, UK
Articles
Leadership
Marc Warner
(CEO)Previously a Marie Curie Fellow in Physics at Harvard University, specialising in quantum sensing
Andrew Brookes
(CTO)Previously a CTO at Hillgate and Vice President at BlackRock
Angie Ma
(Co-Founder)Previously a Scientific Consultant at Bio Nano Consulting
People progressing
Oana joined Faculty 3 years ago, swapping investment banking for tech. She initially joined as a Senior Product Designer, progressing to Product Manager and most recently to Director of Product.
After completing her Phd in Mathematics and working in research, Kim was introduced to Faculty through our Fellowship Programme. Starting as a Data Scientist, and recently being promoted.
Diversity, Equity & Inclusion at Faculty
Angie Ma (Co-Founder)
- AI changes everything, and so must we to make sure our people reflect the real diversity of society. We believe that recruiting talent with diverse experiences, perspectives and backgrounds encourages people to think differently and be more creative
- We welcome difference whether it’s ethnicity, religion, age, gender, gender identity, sexual orientation or disability so please be yourself!
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