Lead Machine Learning Engineer

Jackalope Digital LLC; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Unlimited Annual Leave Policy

Private healthcare and dental

Enhanced parental leave

Family-Friendly Flexibility & Flexible

Sanctus Coaching

Hybrid Working

Job summary

Faculty in London is seeking a Lead Machine Learning Engineer to steer technical direction and deliver complex AI and software projects. You will act as a technical expert, applying your skills from solution architecture to client deployments, while ensuring sound engineering decisions and reliable delivery.

This role balances deep technical leadership with coaching and team growth, building reusable solutions, leading hiring, and guiding customers and stakeholders.

Qualifications

• Strong software engineering skills in Python and at least one compiled or strongly-typed language.
• Expert in at least one major Cloud Provider (Azure, GCP, AWS).
• Hands-on experience with Docker and Kubernetes.
• Ability to lead teams, mentor individuals and drive client delivery.
• Excellent communicator with customers and stakeholders.

Responsibilities

• Setting the technical direction for complex ML and software projects, balancing trade-offs and guiding team priorities.
• Architecting and maintaining reliable, scalable ML/software systems and justifying key architectural decisions.
• Defining project problems, roadmaps, and overseeing delivery across multiple workstreams in high-risk environments.
• Leading hiring processes and mentoring multiple engineers to foster team growth.
• Coaching customers and stakeholders, estimating large work-streams and defending rationale.

Skills

Python

Go

Java

Rust

TypeScript

Cloud (Azure/AWS/GCP)

Docker

Kubernetes

Leadership

Communication

Tools

Docker

Kubernetes

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

Bringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies.

We partner with major pharma firms, academic research centres and MedTech start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all.

About the role

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI and software projects. You will act as a technical expert, applying your skills across various projects from solution architecture to client-side deployments, while ensuring engineering decisions are sound and reliable.
This role demands a balance of deep technical expertise and strong leadership, focusing on driving innovation, fostering team growth, and building reusable solutions across the organisation. If you're ready to manage high-risk projects and deliver practical, innovative outcomes, this is your chance to shape our future.

What you'll be doing

• Setting the technical direction for complex ML and software projects, balancing trade-offs, and guiding team priorities
• Architecting, 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, tools and 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 and defending rationale to stakeholders

Who we're looking for

• You are a technical expert among your peers, capable of going deep on particular topics and demonstrating breadth of knowledge to solve almost any problem
• You possess strong software engineering skills in Python and at least one compiled or strongly-typed language (e.g. Go, Java, Rust, or TypeScript), and know how to build robust, production-grade systems
• You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications
• You have hands-on experience with containerisation tools like Docker and orchestration via Kubernetes
• You can successfully manage and coach a team of engineers, setting team-wide development goals to improve client delivery
• You find novel, clever solutions for project delivery and take ownership for successful project outcomes
• You're an excellent communicator who can proactively help customers achieve their goals and guide both technical teams and non-technical stakeholders

Our Interview Process

1. Talent Team Screen (30 minutes)
2. Introduction to the role (45 minutes)
3. Pair Programming Interview (90 minutes)
4. System Design Interview (90 minutes)
5. Commercial & Leadership Interview (60 minutes)

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

A note on AI: we're happy for you to use it for research and interview prep, but please don't use it to generate answers during live interviews. We also use an AI note-taker (Metaview) in interviews so interviewers can stay present (which you can opt out of just let us know,) and every application is reviewed by a human, never decided by AI.