We are EX3

Hybrid - Client Sites & EX3 London Office Duration 2-Year Structured Graduate Programme Start Date Rolling intake - September & January cohorts Reports To Head of AI Labs About EX3 EX3 is a technology advisory and delivery firm built for momentum. We put technology in the service of people - helping organisations envision bold futures, execute with precision, and excel at every stage of their transformation journey. EX3 AI Labs is our dedicated research, innovation, and delivery engine for artificial intelligence. We work at the intersection of AI advisory, product development, and applied machine learning - helping clients across industries harness the full potential of AI, responsibly and at scale. The Opportunity This is not a traditional graduate role. The EX3 AI Labs Graduate Programme is designed for ambitious individuals who want to shape the future of AI - not just observe it. From day one, you will work alongside experienced AI practitioners, data scientists, and technology strategists on real client engagements and internal innovation projects. You will rotate across three core practice areas over two years, building deep expertise in the disciplines that define modern AI delivery: Key Responsibilities AI Advisory & Strategy Work closely with our AI Advisory team to support the design and delivery of AI readiness assessments and transformation roadmaps for enterprise clients Contribute to client workshops, discovery sessions, and stakeholder presentations on AI strategy and use case identification Research emerging AI trends, frameworks, and regulations to inform advisory outputs and thought leadership Assist in developing business cases for AI adoption, including ROI modelling and risk assessments Machine Learning & AI Engineering Translate client and end user requirements into functional AI product specifications Develop, train, and evaluate machine learning models using modern frameworks and cloud platforms Write clean, well documented code (Python, SQL, and relevant ML libraries) for data pipelines, model training, and inference Support the deployment and monitoring of ML models in production environments Conduct exploratory data analysis, feature engineering, and model performance benchmarking Software Development Lifecycle Contribute to EX3 AI Labs' internal innovation pipeline - from ideation through to proof of concept Develop software wireframes for lifecycle and client projects Build frontend (Typescript/ React) and backend solutions Work within cloud platforms such as Azure to host web applications Produce internal research notes, innovation briefs, and demo outputs for AI Labs showcases Who We're Looking For Academic Background You will hold, or be on track to achieve, a 2:1 or above in a relevant degree discipline. We welcome applications from graduates or those pursuing a master's course across a broad range of fields, including: Computer Science, Software Engineering, or Artificial Intelligence Mathematics, Statistics, or Data Science Technical Skills & Experience We don't expect you to arrive as an expert - but we do expect genuine curiosity and a foundation to build on. Ideal candidates will demonstrate some of the following: Understanding of core ML concepts: supervised/unsupervised learning, model evaluation, overfitting, bias Experience with data manipulation tools: Pandas, NumPy, SQL Exposure to cloud platforms (AWS, Azure, GCP) or AI-specific services (OpenAI, Vertex AI, Bedrock) Familiarity with version control (Git) and software development best practices Any experience building personal AI projects, Kaggle competition participation, or research publications is a strong advantage Interests & Mindset Technical ability alone is not what sets EX3 graduates apart. We are looking for individuals who bring: A genuine passion for AI and its real world applications - you read, experiment, and stay current Intellectual curiosity and the ability to learn fast in a fast moving field Strong communication skills - the ability to explain complex AI concepts to non technical audiences A client first mindset - empathy for end users and a drive to deliver tangible outcomes Collaborative spirit - comfortable working in cross functional teams and contributing to a shared mission Ambition and accountability - you take ownership, ask questions, and push boundaries An ethical lens - awareness of AI risks, fairness, transparency, and responsible deployment What to Expect From the Programme Year One - Foundation & Exposure Three rotations across AI Advisory, ML Engineering, and Software Development Lifecycle labs Structured onboarding including EX3 AI Labs induction, tooling setup, and methodology training Assigned a senior mentor from day one - regular 1:1 coaching and career guidance Access to the EX3 Learning Platform and sponsored certifications (AWS, GCP, Azure AI, or equivalent) Contribution to at least one live client project within the first 90 days Year Two - Specialism & Ownership Elect a primary practice specialism based on Year One performance and personal interests Lead delivery workstreams on client facing AI engagements under senior supervision Develop and present an innovation project as part of the EX3 AI Labs showcase Contribute to business development by supporting proposals, demonstrations, and thought leadership Complete a structured performance review with a pathway to a permanent role at EX3 Performance Expectations Technical Growth: Demonstrable progression in AI/ML skills, certifications achieved, and quality of technical output Client Impact: Quality of client facing work, feedback received, and contribution to positive outcomes; effectiveness as a team member - reliability, communication, and how you uplift others; volume and quality of ideas contributed, experiments run, and initiative shown Professional Development: Engagement with learning, mentorship, and readiness for greater responsibility EX3 Values Alignment: Living the values: Trusted, Client First, Innovative, Accountable, Solution Focused Why EX3 AI Labs Work on real, complex AI challenges - not sandboxed graduate projects A team that combines deep technology expertise with genuine advisory experience A culture of innovation - we experiment, we fail fast, and we improve Direct access to clients across industries including financial services, retail, healthcare, and the public sector A clear and transparent pathway from graduate to consultant to senior roles Competitive graduate salary, performance bonus, and sponsored learning budget A collaborative, inclusive environment where your voice is heard from day one How to Apply We accept applications on a rolling basis for our September and January cohorts. Applications should include: A current CV highlighting academic achievements, technical projects, and any relevant work experience A cover letter (maximum one page) setting out why you are drawn to AI, why EX3, and what you hope to contribute Optional: a link to a personal project, GitHub repository, Kaggle profile, or published work Shortlisted candidates will be invited to a two stage process: an AI aptitude and technical assessment, followed by a panel interview with members of the EX3 AI Labs team. All candidates must have the right to work in the UK for the entire duration of the graduate scheme EX3 is committed to creating an inclusive and equitable workplace. We consider all qualified applicants without discrimination on the basis of race, colour, national origin, religion, sex, sexual orientation, gender identity, disability, or any other characteristic protected by law.