Senior Machine Learning Engineer, Faculty
Enabling clients to use cutting edge AI to improve the performance of their business
Job no longer available
Enabling clients to use cutting edge AI to improve the performance of their business
201-500 employees
Job no longer available
201-500 employees
Company mission
The safe, widespread adoption of AI.
Role
Who you are
- Because of the potential to work with our UK Defence clients, you will need to be eligible for SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base
- You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning
- You have a desire to take cutting-edge ML applications into the real world
- We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:
- Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things
- Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges
- Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world
- Understanding of, and experience with the full machine learning lifecycle
- Working with Data Scientists to deploy trained machine learning models into production environments
- Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch
- Experience with software engineering best practices and developing applications in Python
- Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GPS or Azure)
- Demonstrable experience with containers and specifically Docker and Kubernetes
- An understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques
- Demonstrable experience of managing/mentoring more junior members of the team
- Outstanding verbal and written communication
- Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution
What the job involves
- This role is situated within our Applied AI consultancy, which serves clients across UK Defence, Government, Life Sciences, Energy, Banking and Retail
- As a Machine Learning Engineer, you will work in the business area where the need is greatest and this may change from time-to-time, depending on our external client requirements
- We are a rapidly growing business and require all our employees to be versatile across sectors and confident to be client-facing within those
- You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning
- The work you do will help our customers solve a broad range of high-impact problems across multiple sectors - examples of which can be found here
- You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements
- You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems
- Our Machine Learning Engineerings are 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
- Your role will evolve alongside business needs, but you can expect your key responsibilities to include:
- Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems
- Working with senior engineers to scope projects and design systems
- Providing technical expertise to our customers
- Technical Delivery
Our take
Foreseeing the AI boom as far back as 2014, Faculty was founded to ensure the technology could be implemented where it was needed most. A European leader in applied AI, Faculty helps its clients accelerate and execute their highest priorities, whether that be new drug development, bringing renewable energy online or defending against terrorist attacks. It works with organisations such as OpenAI and Anthropic to ensure their latest AI models are safe, human-led and explainable.
The PhD-heavy team has delivered long-term impact for important organisations across healthcare, communications and counter-terrorism and has published papers on AI safety alongside leading universities. As a major voice concerning the safe use of artificial intelligence, Faculty's CEO has sat on the government's AI council and was invited to the first-ever AI Safety Summit.
With 10% of the UK's science and maths PhD holders applying for Faculty's talent programme, it remains a major pioneer in the space. It's shaping how we think about and implement AI, and will continue to be a prominent figure in the sector.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Dec 2019
$10.5m
SERIES A
Oct 2019
$40.8m
SERIES A
Total funding: $53.4m
Company benefits
- Dental cover - 100% of dental fees covered, up to £500, including checkups and hygienist.
- Optical Cover - 100% of the cost of prescribed glasses and contact lenses up to £300 a year.
Company values
- Grow the Best Team - Only hire people you’re convinced will make Faculty better. Take others’ development as seriously as your own. Build strong and collaborative teams
- Do Great Work - Master your craft. Take pride in your work, even when no one is watching. Demand the highest standards from yourself and others. Work hard, but do it sustainably
- Be Humble & Kind - Recognise that you’re always learning, and have something to learn from everyone. Always make the decision that is best for faculty, but treat people kindly as you do it
- Act with Integrity - Have the courage to maintain integrity even when it’s costly to do so. Demand this from others without hesitation
- Seek Truth - Seek the truth over winning the argument. Understand the root cause. Create an atmosphere in which the best idea succeeds, regardless of who or where it comes from.
- Maximise Impact - Care about the impact of your work. Find the thing that is most important to your customer. Design the best solution, not just what’s easiest or fashionable. Get it done fast. Make sure nothing falls through the cracks.
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.
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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