Platform Engineer (DevOps / MLOps Focus)

The Portfolio Group
London, United Kingdom
Today
£100,000 pa

Salary

£100,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Visa Sponsorship
Available
Posted
14 Jul 2026 (Today)

Benefits

25 days holiday + bank holidays Hybrid working model Professional development opportunities Exposure to cutting-edge AI projects

We're partnering with an organisation delivering a cutting-edge AI platform project. This is an opportunity to join a highly technical team building the cloud infrastructure and platform capabilities that power large-scale AI and machine learning solutions.

You'll play a key role in designing, building and maintaining scalable, secure and resilient platform infrastructure, enabling engineering and data teams to deploy and operate AI workloads efficiently.

What you'll be doing:

  • Building and managing cloud-native infrastructure to support AI and ML applications.
  • Designing and maintaining Kubernetes environments for production workloads.
  • Developing and managing Infrastructure as Code using Terraform.
  • Supporting CI/CD pipelines and platform automation initiatives.
  • Improving platform reliability, observability and scalability.
  • Collaborating closely with Software Engineers, Data Engineers and ML teams to optimise deployment workflows and infrastructure performance.

Essential experience:

  • Strong commercial experience with Kubernetes.
  • Hands-on experience building Infrastructure as Code using Terraform.
  • Experience working with cloud platforms such as AWS, Azure or GCP.
  • Experience with containerisation technologies including Docker.
  • Strong understanding of CI/CD principles and DevOps best practices.
  • Experience supporting highly available, scalable production environments.

Nice to have:

  • Experience with Kubeflow and ML platform tooling.
  • Exposure to AI, machine learning or GenAI projects.
  • Experience with observability tooling such as Prometheus, Grafana or OpenTelemetry.
  • Experience working within regulated or enterprise environments.

This is a fantastic opportunity to join a high-profile AI programme with significant investment and visibility, working alongside some of the brightest engineers in the industry to build the next generation of AI infrastructure.

49914MS

INDLON

The Portfolio Group are acting on behalf of our client in recruiting for this position.

Related Jobs

View all jobs
Spotlight

Director of Technology - AI

Digital Catapult Bristol, County Of Bristol, United Kingdom
£110,000 – £130,000 pa Hybrid
Spotlight

Senior Machine Learning Scientist

Chattermill London, United Kingdom
Remote

Platform Engineer

Luminance Cambridge, United Kingdom
Hybrid

Platform Engineer

Faculty AI London, United Kingdom
Hybrid

Platform Engineer

Relation Therapeutics London, United Kingdom
Hybrid

Platform Engineer

Technical Futures Ltd Cb21Gg, CB2 1GG, United Kingdom
£55,000 – £80,000 pa Hybrid

Platform Engineer (GCP)

HAYS Specialist Recruitment Manchester, United Kingdom
£50,000 – £65,000 pa Hybrid

Platform Engineer (DevOps / MLOps Focus)

The Portfolio Group London, United Kingdom
£100,000 pa Hybrid

Industry Insights

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

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.