Faculty
Professional and Financial Services
LeadMachineLearningEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Machine Learning Engineer at Faculty. Skills: Machine Learning, AI, Software Engineering, Leadership. Setting the technical direction for complex ML projects. Balancing trade-offs”
What You'll Achieve.
Transform their performance through human-centric AI; Moves the needle; Enhance customer experience; Find the commercial upside in uncertain markets; Set the gold-standard for marrying technical excellence with safe deployment; Ensure architectural decisions are sound and reliable; Improve client delivery; Successful project outcomes; Achieve their goals
Industry & Context.
Solve almost any problem; Defining project problems; Balancing trade-offs
What They're Looking For.
Must Have
Python skills, Practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch, Expert in at least one major Cloud Solution Provider (e. g. , Azure, GCP, AWS), Led teams to build full-stack web applications, Hands-on experience with containerisation tools like Docker, Orchestration via Kubernetes, Successfully manage and coach a team of engineers, Setting team-wide development goals to improve client delivery, Excellent communicator
Nice to Have
Technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem, Find novel, clever solutions for project delivery, Take ownership for successful project outcomes, Proactively help customers achieve their goals, Guide both technical teams and non-technical stakeholders
What You'll Do.
Setting the technical direction for complex ML projects
Guiding team priorities
and maintaining reliable
scalable ML/software systems
Justifying key architectural decisions
Defining project problems
Overseeing delivery across multiple work-streams in often ill-defined
high-risk environments
Driving the development of shared resources and libraries across the organisation
Guiding other engineers in contributing to them
Leading hiring processes
Making informed selection decisions
Mentoring multiple individuals
Proactively developing and executing recommendations for adopting new technologies
Changing our ways of working to stay ahead of the competition
Acting as a technical expert and coach for customers
Accurately estimating large work-streams
Defending rationale to stakeholders
How You'll Work.
Team & Collaboration
Guiding other engineers in contributing to shared resources and libraries; Manage and coach a team of engineers; Setting team-wide development goals to improve client delivery; Guide both technical teams and non-technical stakeholders
Communication Scope
Excellent communicator; Proactively help customers achieve their goals; Guide both technical teams and non-technical stakeholders; Defending rationale to stakeholders
Process & Methodology
Defining project problems, Developing roadmaps, Overseeing delivery across multiple work-streams, Managing high-risk projects, Delivering practical, innovative outcomes, Accurately estimating large work-streams
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 https://faculty.ai/impact. 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 In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment. ABOUT THE ROLE Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. You will act as a technical expert, applying your skills across various projects from AI strategy to client-side deployments, while ensuring architectural decisions are sound and reliable. This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering
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