Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning Engineer

Faculty
Bristol
2 weeks ago
Create job alert
Overview

Join to apply for the Machine Learning Engineer role at Faculty.

Get AI-powered advice on this job and more exclusive features.

About Faculty

At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.

Because of the potential to work with our UK Defence clients, you will need to be eligible for UK 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. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present.

About The Role

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 in the Defence and National Security arena.

What You\'ll Be Doing

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. 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 Engineers 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.

As a rapidly growing organisation, roles are dynamic and subject to change. 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
Qualifications

To succeed in this role, you’ll need the following (illustrative requirements; 70% guidance):

  • Understanding of, and experience with the full machine learning lifecycle
  • Experience deploying trained machine learning models into production environments with data scientists
  • Experience with models using 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 (AWS, GCP or Azure)
  • Demonstrable experience with containers and specifically Docker and Kubernetes
  • Understanding of probability and statistics and familiarity with common supervised and unsupervised learning techniques
  • Demonstrable experience mentoring junior team members
  • Outstanding verbal and written communication
  • Excitement about working in a dynamic role with autonomy and ownership

We like people who combine expertise and ambition with optimism and have the drive to change the world for the better. If you’re the right candidate for us, you probably:

  • Think scientifically, test assumptions, seek evidence and improve what we do
  • Love solving problems and pursue continuous improvement
  • Are pragmatic and outcome-focused, balancing big-picture with execution in the real world
What We Can Offer You

The Faculty team is diverse and distinctive, driven by a deep intellectual curiosity. Faculty is the professional challenge of a lifetime, with an impressive group of minds working toward our collective goals. You’ll learn from colleagues across consulting, product development, business development, and operations.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

Industries

  • Technology, Information and Internet

Referrals increase your chances of interviewing at Faculty by 2x

Location and date details have been omitted for brevity in this refined version.


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.