# Lead Machine Learning Engineer

**Company**: Faculty
**Location**: Remote (UK)
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/faculty/553927aa-2c38-4257-99af-4c0255327006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2971519d-d36

## Description

Faculty is looking for a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. The successful candidate will act as a technical expert, applying their skills across various projects from AI strategy to client-side deployments, while ensuring architectural decisions are sound and reliable.

The Defence team at Faculty is focused on building and embedding human-centered AI solutions which give the nation a competitive edge in the defence sector. The team collaborates with clients to bring ethical, reliable and cutting-edge AI to high-stakes situations.

The role involves:

- Setting the technical direction for complex ML projects, balancing trade-offs, and guiding team priorities.

- Designing, implementing, and maintaining reliable, scalable ML/software systems and justifying key architectural decisions.

- Defining project problems, developing roadmaps, and overseeing delivery across multiple workstreams in often ill-defined, high-risk environments.

- Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them.

- Leading hiring processes, making informed selection decisions, and mentoring multiple individuals to foster team growth.

- Proactively developing and executing recommendations for adopting new technologies and changing ways of working to stay ahead of the competition.

- Acting as a technical expert and coach for customers, accurately estimating large work-streams and defending rationale to stakeholders.

The ideal candidate will be a technical expert among their peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem. They will possess strong Python skills and practical experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Experience with containerisation tools like Docker and orchestration via Kubernetes is also required.

In return, Faculty offers a range of benefits, although these are not specified in the job posting.

The interview process consists of five stages: Talent Team Screen, Introduction to the role, Pair Programming Interview, System Design Interview, and Commercial & Leadership Interview.

## Skills

### Required
- Python
- Scikit-learn
- TensorFlow
- PyTorch
- Docker
- Kubernetes
- Cloud Solution Provider

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/faculty/553927aa-2c38-4257-99af-4c0255327006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)