Machine Learning Engineer

AXA UK plc
Redhill
19 hours ago
Create job alert
Overview

We're looking for a Machine Learning Engineer to become an integral part of our Transversal Data team, where you'll play a pivotal role in transforming and modernising our machine learning platform. You'll collaborate across the organisation to define and implement MLOps best practices, while taking charge of designing, implementing, and maintaining the infrastructure essential for the development and deployment of machine learning models. Working closely with Data Scientists, Data Engineers, Solution Engineers, and other stakeholders, you'll ensure the seamless integration of machine learning models into our production systems, driving innovation and excellence within AXA UK.

What you’ll be doing
  • Contribute to the design and the development of robust MLOps and Agentic Ops frameworks that will enhance our capabilities and drive value across AXA.
  • Take offline models data scientists build and turn them into a real machine learning production system.
  • Define and implement best practices in machine learning, MLOps and Agentic Ops, while mentoring colleagues throughout the organisation.
  • Actively participate in knowledge sharing through internal and external communities and working groups.
  • Contribute to the delivery of code and provide expertise in several key technology areas.
  • Stay up to date with the latest advancements in MLOps, Agentic systems, Azure and Databricks technologies, and proactively identify opportunities to enhance our ML capabilities.
Qualifications
  • Degree in computer science, engineering, or a related field.
  • Demonstrable experience in machine learning, building and operating machine learning models.
  • Experience in multiple technologies and frameworks required such as Azure Databricks, Azure ML, MLFlow, GIT, Python and PySpark and microservices.
  • Strong understanding of software development, DevOps, MLOps and Agentic Ops practices and microservices.
  • Excellent communication and collaboration skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.

As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.

You’ll need to show you meet the essential criteria as detailed in the job advert or job description. You don’t need to share the details of your long term health condition or disability for your application to be considered under this scheme.

Benefits
  • Competitive annual salary of up to £80,000 dependent on experience.
  • Annual company & performance-based bonus.
  • Contributory pension scheme (up to 12% employer contributions).
  • Life Assurance (up to 10 x annual salary).
  • Private medical cover.
  • 25 days annual leave plus Bank Holidays.
  • Opportunity to buy up to 5 extra days leave or sell up to 5 days leave.
  • Wellbeing services & resources.
  • AXA employee discounts.

Equal Opportunities Employer: AXA UK take pride in treating our employees and potential hires with respect and without discrimination based on any Protected Characteristics. AXA UK are recognised as a Disability Confident Leader and actively encourage applications from people who face barriers in the workplace due to a disability or long‑term health condition.


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning 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.

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.

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.

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.