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

Apply Now

Graduate AI & Machine Learning Engineer

Reply
London
2 days ago
Create job alert

Overview

DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/Machine Learning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data solutions on AWS cloud. www.data.reply.com


As a Graduate AI & Machine Learning Engineer, you'll assist our team in the design and development of machine learning processes in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalization and monitoring. You will work closely with data scientists and senior MLOps Engineers to understand and implement models into production. At Data Reply, you'll enjoy extensive training opportunities coupled with a detailed learning path to guide you along the way. You'll thrive in our diverse and vibrant work environment and will be surrounded by peers who share your passion for data and technology. As a Data Reply consultant, you will love the opportunity to work on projects with some of the world’s leading brands.


Responsibilities


  • Work closely with the Data Science team to introduce automation and governance in their machine learning pipelines
  • Manage the infrastructure and orchestration pipelines needed to automatically train and bring machine learning models to production
  • Implement solutions to monitor the performance of Machine Learning models in production over time
  • Work in teams with other technical experts, e.g. Data Engineers, Data scientists, MLOps Engineers, Data Visualization Specialists
  • Interact with domain experts from different industries to understand and tackle challenging problems
  • Explore and understand client data in relation to the problem you’re tackling and communicate findings to clients and stakeholders


About the candidate


  • A minimum 2.1 Bachelor’s degree in ICT/Computer Science is required. The ideal candidate will have a Bachelor’s degree in ICT/Computer Science and a Master’s degree in Data Science or Artificial Intelligence
  • Excellent communications skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences
  • You have an excellent understanding of key concepts in computer science (e.g. databases, software engineering practices, cloud computing - especially AWS) and data science (e.g. machine learning process)
  • Excellent knowledge of Python including Pytorch, Tensorflow and SKLearn as well as initial knowledge of LangChain, RAGAS and CI/CD
  • You can demonstrate a growth mindset in terms of picking up new challenges and transforming them in an opportunity to learn
  • Flexibility regarding business travelling and positive attitude towards working across different client projects


Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law.


Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.


Seniority level


  • Entry level


Employment type


  • Full-time


Job function


  • Information Technology and Consulting


Industries


  • Technology, Information and Media


#J-18808-Ljbffr

Related Jobs

View all jobs

AI and Machine LearningEngineer - (10783)

AI and Machine Learning Engineer - (10783)

AI AND MACHINE LEARNING ENGINEER

AI and Machine LearningEngineer - - Reply

Graduate Machine Learning Engineer - £30,000 (Edinburgh)

Principal Machine Learning Performance Kernel 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.

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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.