Head of Machine Learning

Aviva
London
1 month ago
Applications closed

Related Jobs

View all jobs

Head of Machine Learning (Recommendations, AI Stylist & Search)

Director of Machine Learning

Lead Machine Learning Engineer

Senior Machine Learning Engineer

Data Scientist – GenAI & AI Engineering

Junior Data Engineer (Data Science)

Head of Machine Learning

Salary : £110,000 - £140,000

Locations: London / Bristol (UK)

This is a great job for someone who is energised by defining and executing Machine Learning (ML) strategy at scale, shaping how Aviva connects with millions of customers. The ideal candidate excels at leading high-performing ML and Data Science teams to solve complex, impactful problems, delivering measurable benefits for both customers and the business.

This person will be a key contributor to Aviva's data-driven transformation, influencing senior decision-makers and upholding high standards for responsible, ethical data science in a FTSE 100 company. They will be passionate about fostering innovation, experimentation, and continuous learning. They inspire their team and stakeholders to embrace new approaches and technologies.

A bit about the job:

Within Aviva's Customer & Marketing (C&M) function, the Customer Science team uses data to understand customers so we can be more relevant and take better actions. We are multi-award-winning, and passionate about driving better customer & commercial outcomes.

As our Head of ML, you'll be at the heart of our data & AI transformation, powering customer relevance through marketing targeting, personalisation, and digital experiences. You'll lead the development, deployment, and continuous improvement of a suite ML solutions that deliver better customer outcomes and sustainable, profitable growth.

You'll set and execute a multi-year ML strategy, own financial and resource commitments, and represent ML at senior forums, internally and externally. You'll champion responsible ML, ensure compliance with data privacy and regulatory standards, and drive adoption across the business.

This is a rare chance to shape the future of customer engagement at Aviva, developing and nurturing a cross-functional team of outstanding ML scientists, engineers, product owners, and technologists.

Skills and experience we're looking for:

  • Proven leadership in ML strategy, execution and value creation, ideally in direct-to-consumer businesses.
  • Track record of leading and developing high-performing, cross-functional teams to build and scale production-grade ML systems.
  • Advanced expertise in ML techniques, frameworks (e.g., TensorFlow, PyTorch) and end-to-end model lifecycle management.
  • Proven experience with cloud platforms (e.g. AWS, Azure), MLOps, and managing data-as-a-product, including knowledge of emerging trends, technologies, and responsible ML frameworks.
  • Ability to influence senior stakeholders and communicate complex ML concepts clearly to all audiences.


What you'll get for this role:

Our purpose - with you today, for a better tomorrow - is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague.

  • Salary £110,000 - £140,000 (depending on location, skills, experience, and qualifications)
  • Bonus opportunity - 25% of annual salary Actual amount depends on your performance and Aviva's.
  • Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in.
  • 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days
  • Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts
  • Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme
  • Brilliantly supportive policies including parental and carer's leave
  • Flexible benefits to suit you, including sustainability options such as cycle to work
  • Make a difference, be part of our Aviva Communities and use your 3 paid volunteering days to help others
  • We take your wellbeing seriously with lots of support and tools


Take a look to learn more. Put a salary into this calculator to see what your total Aviva Reward could be.

Aviva is for everyone:

We're inclusive and welcome everyone - we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don't, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares.

We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working - spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.

To find out more about working at Aviva take a look here

We interview every disabled applicant who meets the minimum criteria for the job. Once you've applied, please send us an email stating that you have a disclosed disability, and we'll interview you.

We'd love it if you could submit your application online. If you require an alternative method of applying, please give Harjot Kaur a call on or send an email to

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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.