Graduate Machine Learning and AI Engineer

Edinburgh, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Senior CFD Engineer - Multiphase

PhysicsX London, United Kingdom

Graduate AI Engineer (2026 start)

Cambridge Consultants United Kingdom

Graduate AI Data Scientist

Global Tech Recruitment London, United Kingdom
£42,000 – £45,000 pa Hybrid

PhD Studentship: From Brittle to Ductile: Machine Learning 3D Fracture Simulations for Extreme Environments

University of Warwick Coventry, University Of Warwick, Midlands Of England, United Kingdom
£21,805 pa On-site

Associate Professional Services Consultant Intern 2026

Amazon London, United Kingdom
Permanent

Machine Learning Research Engineer

Luminance Cambridge, United Kingdom
Hybrid
Posted
11 Feb 2026 (3 months ago)
Overview

Job title: Graduate Machine Learning and AI Engineer


Location: Edinburgh


Hybrid role: 2 days a week in the office


Contract: 12-month fixed term contract


Our market-leading financial services client is seeking a motivated, detail-focused Graduate Machine Learning and AI Engineer to join the Business Transaction Banking division.


This role involves building and optimising agent workflows, integrating LLMs with internal tools/data. Additionally, you will have the opportunity to be involved with model deployment, automation & CI/CD. You will also be deploying these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation.


Responsibilities

  • Model Deployment: Take trained AI/ML models and package them into deployable artefacts (e.g., Docker images).
  • Kubernetes Orchestration: Deploy these artefacts into Kubernetes pods, ensuring scalability, resilience, and proper resource allocation.
  • Automation & CI/CD: Build pipelines for automated deployment, testing, and monitoring of models.
  • Environment Management: Handle containerisation (Docker), networking, and configuration for production environments.
  • Monitoring & Logging: Implement tools to track model performance, resource usage, and system health.

Skills and Experience

  • Have research or practical experience with machine learning engineering and artificial intelligence
  • Experience using the following: Python, Kubernetes, Docker.
  • Experience using CI/CD Tools: Jenkins, GitHub Actions, or Azure DevOps.
  • Experience using Cloud Platforms: AWS, Azure, or GCP.
  • Basic Machine Learning Knowledge: Understanding of how models work to troubleshoot deployment issues.
  • Great attention to detail
  • Analytical mindset and uses a methodological approach to complete tasks.
  • Resilient, confident, professional, and able to work effectively with multiple teams.

You will be a valued member of our Adecco Emerging Talent function working onsite with a market-leading organisation. Initially, the assignment is 12 months with scope for extension in the future, so you need to be someone with a permanent mindset!


If you have the experience and desire to work for a well-respected organisation offering personal and professional support, growth and development, then you could be a perfect fit for the team and we want to hear from you - APPLY NOW.


Please be advised that if you haven\'t heard from us within 48 hours, then unfortunately your application has not been successful on this occasion. We may, however, keep your details on file for any suitable future vacancies and contact you accordingly.


Adecco Emerging Talent is an employment consultancy and operates as an equal opportunities employer.


#J-18808-Ljbffr

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.