AI Platform Engineer

McGregor Boyall

London

1 year ago

Applications closed

Related Jobs

View all jobs

Senior ML Platform Engineer - AI Systems & MLOps

Senior ML Platform Engineer - Artificial Intelligence London, GBR

AI Lead, AI Engineer Lead, Generative AI Engineer, Machine Learning Engineer, AI Platform Engineer, NLP Engineer, Applied AI Engineer, AI Integration Specialist, AI Software Engineer, AI Systems Architect, AI Engineer, AI Development Lead,

Senior MLOps Engineer

Senior AI MLOps Platform Engineer - Scale Resilient Cloud

Senior Platform Engineer - AI MLOps Oxford, England, United Kingdom

AI Platform Engineer
Generative AI
London

Overview:

Leading financial institution searching for an AI Platform Engineerto join an impressive, bleeding-edge Technology team that converts ambitious concepts and brings them to life by engineering cutting-edge products and deploying them on a global scale!
As an AI Platform Engineer, you will be involved in worldwide Generative AI and LLM integrations and transformations. Opportunity for major impact on project zero-to-one. Join an innovative team pushing the boundaries of AI!
Keywords: Engineering, AI, Machine Learning, Generative AI, Rust, Clojure, Haskell, Elixir, Kubernetes

Details

Day rate: £800-£850/day - Inside IR35
Start date: ASAP
Duration: end date 12/01/2026 (highly likely to be extended)
Hybrid working - 3 days/week in the office

The Team:

The team's primary focus lies in cutting-edge technology and engineering fields, including generative AI, cloud computing, cybersecurity, contemporary application stacks (utilizing Golang and Gatekeeper), open-source solutions, and the latest advancements within the Kubernetes ecosystem.

Responsibilities of a AI Platform Engineer:

Work with quant developers and subject matter experts
Design and build high-quality, reliable, scalable software
Apply knowledge of AI/ML and LLMs to practical business problems
Develop Python code and interfaces (APIs and services)
Ensure effective platform architecture and scalability

Required Skills and Experience for a AI Platform Engineer:

Extensive knowledge and experience with Python and related toolchains
Proficient in AI/ML, with a focus on working with LLMs and a passion for leveraging emerging technologies
Hands-on experience with CI/CD and MLOps tools and frameworks (e.g., MLflow, W&B)
Skilled in building and managing large-scale platforms
Strong expertise in distributed systems
Solid system architecture skills
Familiarity with modern functional languages like Scala, Clojure, Rust, or Elixir
Thorough understanding of RESTful API design
Experience working with Kubernetes
Development experience with at least one major public cloud provider

If your experience matches the role, click apply and let's catch up!

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

UkthcmltaS4xMjc5MS5lZmlAbWNncmVnb3Jib3lhbGwuYXBsaXRyYWsuY29t.gif

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jan 18, 2026

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jan 13, 2026

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.