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

Apply Now

Graduate AI Consultant

R3 Digital
Leeds
1 year ago
Applications closed

Related Jobs

View all jobs

Graduate Machine Learning Engineer

Data Science & AI Graduate Scheme

Machine Learning Engineer (Databricks)

Machine Learning Engineer/Researcher - 2026 Graduate Programme

Machine Learning Engineer/Researcher - 2026 Graduate Programme

Summer Placement Data Analyst

Are you a recent graduate looking to kick-start your career in a dynamic, innovative environment? As a Graduate AI Consultant, you'll have the opportunity to work with a start-up company at the forefront of Artificial Intelligence, Machine Learning, and Business Process optimisation and Automation, developing your skills and making a real impact from day one.


This is the ideal role for a talented graduate with an aptitude for AI and analytical work, looking to develop their career with a start-up company. The successful candidate will benefit from excellent career-enhancing prospects, including opportunities for professional development, mentorship, and advancement within the company.


We are looking for graduates who are seeking to build a career in Artificial Intelligence, Autonomous Agent, Machine Learning, and Data, creating intelligent business solutions. You will be working with other consultants, developers, and analysts on different areas of the client's systems and processes. Therefore, a commitment to collaborative problem solving, sophisticated design, and creating quality AI-driven solutions is essential.


Additionally, you will have a flexible attitude, creativity, imagination, and be open to change. Strong interpersonal and communication skills, as well as attention to detail, are key. The ability to work individually or within a team to meet tight deadlines is also essential.


Responsibilities


  • Support discovery workshops to gather requirements related to AI projects
  • Translate functional requirements into technical requirements for AI solutions
  • Assist in the design of reliable AI processes and applications
  • Collaborate on project work (should be a confident self-starter)
  • Collaborate to identify issues, discuss a resolution with the team
  • Ensure delivery quality meets or exceeds client expectations
  • Report and escalate project issues to line manager


Skills


  • Ability to communicate effectively with senior leaders and clients and provide consultation on AI-driven process improvements
  • Strong problem-solving skills and ability to provide optimal AI solutions
  • Desire to work towards and acquire functional or technical certifications related to AI


Qualifications / Experience


  • Education: Degree level (or equivalent experience) in a relevant field such as Computer Science, Data Science, or Engineering or AI or Machine Learning
  • Ideally an understanding of some of the core concepts related to AI, GenAI, and Autonomous Agents


Hiring Process and Expectations


Process:


  • Video screener questions
  • 45 min online psychometric test
  • 30 mins interview with Founder
  • 60 min experience and skills deep dive with Director
  • 30 min final interview with Founders


Expectations:


  • Responding to actions quickly is important
  • Quality of your responses is also important


Why R3 Digital


R3 Digital was founded in 2019 by three experienced business leaders looking to do things differently. We bring our clients deep-rooted expertise matched by professional vigour in our project delivery. We are a Salesforce Platinum Partner and aim to continue sustainable growth.


We work as a remote team, but have the advantage of that being part of our ethos. The key thing we share is the desire to provide our clients with solutions that delight them. This is achieved through providing the best advice, and through delivery with the best technical expertise.


At R3 you’ll join our team of expert consultants, where we challenge each other to go to the next level; whether that be competing for the next new certification, or achieving other career goals, we want you to succeed.

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.