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For Companies At a Glance
- Tasks: Design and develop AI solutions to drive business growth and digital transformation.
- Company: Join M&G, a leading international savings and investments business with over 170 years of experience.
- Benefits: Flexible working arrangements, inclusive culture, and opportunities for career progression.
- Why this job: Be at the forefront of AI innovation and make a real impact in the financial sector.
- Qualifications: Experience in AI, Data Science, and proficiency in Python required.
- Other info: Dynamic team environment with a focus on continuous improvement and learning.
The predicted salary is between 28800 - 48000 £ per year.
Overview
Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions. Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent. We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.
AI Engineer – AI & Innovation
Reports to: AI Lead
Role description
As an AI Engineer within the M&G Life AI & Innovation team, you will play a key role in designing, developing, and deploying AI solutions that support our digital transformation and business growth. Working closely with the AI Lead and the AI & Innovation Business Analyst, you will translate business requirements into robust technical solutions, champion responsible AI practices, and help deliver measurable business value. You will be part of a multi-disciplinary team driving innovation and continuous improvement across the organisation.
Key Responsibilities
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AI Solution Delivery: Take ownership of the end-to-end delivery of AI solutions, from opportunity identification and requirements gathering (in partnership with the Business Analyst) through design, development, testing, deployment, and ongoing monitoring
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Collaborate with cross-functional teams (Marketing, IT, Sales, Distribution, Customer Service) to ensure solutions meet business needs and strategic objectives
Technical Excellence:
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Apply best practices in AI development, including robust testing, version control, and responsible AI implementation
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Ensure all solutions comply with data governance, privacy, and ethical standards, working with the Business Analyst and AI Lead to uphold regulatory requirements
Business Value Measurement:
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Build solutions that drive efficiency, unlock insights, and create measurable business impact
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Support the definition and tracking of key performance indicators (KPIs) and objectives and key results (OKRs) for AI projects, in collaboration with the Business Analyst
Change Management & Adoption:
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Champion the adoption of new AI solutions across the business, supporting training and transition activities to maximise user engagement and business impact
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Facilitate change management and ensure successful implementation in partnership with the Business Analyst
Continuous Improvement:
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Contribute to a culture of experimentation, continuous improvement, and learning within the AI & Innovation team
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Share knowledge and best practices across roles to foster team development
Production Support:
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Monitor AI solutions in production, analyse performance, and investigate root causes of issues to ensure ongoing reliability and effectiveness
Required Skills & Competencies
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Proven experience delivering AI and innovation projects in a business context
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Strong technical background in Data Science, Machine Learning, and AI (including LLMs, agentic AI, and decision intelligence systems)
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Proficiency in Python and experience with platforms such as Databricks, OpenAI, Github and Copilot Studio
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Experience with MLOps, cloud deployment (AWS/Azure), and model evaluation/selection
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Excellent communication skills, able to explain technical concepts to non-technical stakeholders
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Strong problem-solving, analytical, and project management skills
Desirable Experience & Qualifications
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Experience in Life or Financial Services.
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Knowledge of Agile/Scrum methodologies and service design.
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Familiarity with AI ethics, regulatory requirements, and responsible AI practices
Career Development
This role offers opportunities for progression within the AI & Innovation team or the wider Life business. You will work with cutting-edge AI technologies and help shape the future of the organisation.
Work Level
Experienced Colleague
Location
London or Stirling (Hybrid working)
Recruiter
Sarah Mathers
Closing Date
4th November 2025
What we offer
At M&G, we’re committed to helping you thrive and supporting your wellbeing, both at work and beyond. Our benefits are designed to help you balance your professional and personal life, while planning confidently for your future. Our UK benefits include:
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As a savings and Investments firm we are proud to offer a valuable pension scheme of 18% , with 13% made up of Employer Contributions and 5% Employee Contributions . We also offer Share Save and our Share Incentive Plan , together with access to financial wellbeing and support services – to help give you real confidence to put your money to work.
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Enjoy 38 days annual leave including bank holidays, with the opportunity to purchase up to 5 extra days and additional flexibility through our Time Off When You Need It policy – to balance your work and personal commitments.
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Our market leading Inspiring Families policy includes comprehensive support and paid parental leave covering maternity, adoption, surrogacy, and paternity leave – as supporting families is a core aspect of our inclusive culture.
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Health & Protection cover including Private Healthcare , Critical Illness cover and Life Assurance for you, with family options – for peace of mind.
To explore more about life at M&G and our full benefits offering, visit Life at M&G. We have a diverse workforce and an inclusive culture at M&G, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks. M&G is also proud to be a Disability Confident Leader, and we welcome applications from candidates with long-term health conditions, disabilities, or neuro-divergent conditions. If you need assistance or an alternative means of applying for a role due to a disability or additional need, please let us know by contacting
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AI Engineer employer: M&G
Contact Detail:
M&G Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at M&G. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions. Whether it’s a GitHub repo or a personal website, having tangible evidence of your work can really set you apart.
✨Tip Number 3
Prepare for the interview by understanding M&G’s values and how they align with your own. Be ready to discuss how you can contribute to their mission of delivering exceptional financial outcomes through AI.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll find all the latest roles and updates there, so keep checking back!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience in AI, Data Science, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Showcase Your Technical Skills: Don’t hold back on your technical prowess! Mention your proficiency in Python, MLOps, and any platforms like Databricks or OpenAI. We’re looking for someone who can hit the ground running, so let us know what you’ve got!
Communicate Clearly: Remember, we need to understand your technical concepts just as much as you do! Use clear language and avoid jargon when explaining your past experiences. This will help us see how well you can communicate with non-technical stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the M&G family!
How to prepare for a job interview at M&G
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, Machine Learning, and Data Science. Be ready to discuss specific projects you've worked on, especially those that align with M&G's focus on responsible AI practices and measurable business impact.
✨Understand the Business
Familiarise yourself with M&G's services and how AI can enhance their offerings. Think about how your skills can contribute to their digital transformation and be prepared to share ideas on potential AI solutions that could drive efficiency and unlock insights.
✨Showcase Collaboration Skills
Since this role involves working with cross-functional teams, be ready to discuss your experience in collaborating with different departments. Highlight any successful projects where you’ve worked alongside marketing, IT, or customer service to deliver AI solutions.
✨Prepare for Change Management Questions
Expect questions about how you would champion the adoption of new AI solutions. Think of examples where you've facilitated change management or supported training initiatives, as this will demonstrate your ability to maximise user engagement and business impact.
